From e95208b9cb4b18974be3469012c59f5dea61a8f2 Mon Sep 17 00:00:00 2001
From: Willem Pienaar <github@willem.co>
Date: Wed, 21 Apr 2021 17:09:56 +0000
Subject: [PATCH 1/3] GitBook: [v0.10-branch] 58 pages and 25 assets modified

---
 ...1) (2) (3) (4) (3) (1) (1) (1) (1) (7).svg |   1 +
 ...g-post-page-5 (1) (1) (1) (2) (2) (1).png} | Bin
 ...g-post-page-5 (1) (1) (1) (2) (2) (2).png} | Bin
 ...og-post-page-5 (1) (1) (1) (2) (2) (3).png | Bin 0 -> 6728 bytes
 ...og-post-page-5 (1) (1) (1) (2) (2) (4).png | Bin 0 -> 6728 bytes
 ...og-post-page-5 (1) (1) (1) (2) (2) (5).png | Bin 0 -> 6728 bytes
 ...2) (2) (2) (2) (2) (2) (2) (2) (2) (3).png | Bin 0 -> 65249 bytes
 ...) (2) (2) (2) (2) (2) (2) (2) (2) (1).png} | Bin
 ...) (2) (2) (2) (2) (2) (2) (2) (2) (2).png} | Bin
 ...2) (2) (2) (2) (2) (2) (2) (2) (2) (3).png | Bin 0 -> 33294 bytes
 ...3) (3) (3) (3) (3) (3) (3) (2) (1) (4).png | Bin 0 -> 91604 bytes
 ...3) (3) (3) (3) (3) (3) (3) (2) (1) (5).png | Bin 0 -> 91604 bytes
 ...e_join (1) (2) (2) (3) (3) (3) (3) (4).png | Bin 0 -> 297335 bytes
 ...) (3) (3) (3) (3) (3) (3) (3) (3) (1).jpg} | Bin
 ...) (3) (3) (3) (3) (3) (3) (3) (3) (2).jpg} | Bin
 ...) (3) (3) (3) (3) (3) (3) (3) (3) (3).jpg} | Bin
 ...3) (3) (3) (3) (3) (3) (3) (3) (3) (4).jpg | Bin 0 -> 23499 bytes
 ...2) (2) (3) (3) (3) (3) (3) (3) (1) (4).jpg | Bin 0 -> 76205 bytes
 docs/README.md                                |   2 +-
 docs/concepts/apply.md                        |  18 +-
 docs/concepts/feature-views.md                |  21 +-
 docs/contributing/development-guide.md        |  10 +-
 docs/contributing/release-process.md          |   6 +-
 docs/contributing/versioning-policy.md        |  10 +-
 .../advanced-1/security.md                    | 289 ++++++++----------
 .../advanced-1/troubleshooting.md             |  22 +-
 .../advanced-1/upgrading.md                   |  18 +-
 .../concepts/architecture.md                  |   4 +-
 docs/feast-on-kubernetes/concepts/glossary.md |  12 +-
 docs/feast-on-kubernetes/concepts/overview.md |   6 +-
 docs/feast-on-kubernetes/concepts/sources.md  |  12 +-
 docs/feast-on-kubernetes/concepts/stores.md   |   8 +-
 .../getting-started/README.md                 |   6 +-
 .../connect-to-feast/README.md                |   6 +-
 .../google-cloud-gke-with-terraform.md        |  10 +-
 .../kubernetes-amazon-eks-with-terraform.md   |  16 +-
 .../reference-1/limitations.md                |   6 +-
 .../reference-1/metrics-reference.md          |   8 +-
 .../user-guide/define-and-ingest-features.md  |   9 +-
 .../user-guide/getting-online-features.md     |   4 +-
 .../user-guide/getting-training-features.md   |  10 +-
 .../user-guide/overview.md                    |  10 +-
 .../how-to-guides/build-a-training-dataset.md |   8 +-
 .../create-a-feature-repository.md            |   6 +-
 docs/how-to-guides/deploy-a-feature-store.md  |   8 +-
 .../load-data-into-the-online-store.md        |  14 +-
 .../read-features-from-the-online-store.md    |   8 +-
 docs/quickstart.md                            |   2 +-
 48 files changed, 261 insertions(+), 309 deletions(-)
 create mode 100644 docs/.gitbook/assets/feast-architecture-diagrams (1) (1) (1) (2) (3) (4) (3) (1) (1) (1) (1) (7).svg
 rename docs/.gitbook/assets/{feast-landing-page-blog-post-page-5 (1) (1) (1) (2) (1).png => feast-landing-page-blog-post-page-5 (1) (1) (1) (2) (2) (1).png} (100%)
 rename docs/.gitbook/assets/{feast-landing-page-blog-post-page-5 (1) (1) (1) (2).png => feast-landing-page-blog-post-page-5 (1) (1) (1) (2) (2) (2).png} (100%)
 create mode 100644 docs/.gitbook/assets/feast-landing-page-blog-post-page-5 (1) (1) (1) (2) (2) (3).png
 create mode 100644 docs/.gitbook/assets/feast-landing-page-blog-post-page-5 (1) (1) (1) (2) (2) (4).png
 create mode 100644 docs/.gitbook/assets/feast-landing-page-blog-post-page-5 (1) (1) (1) (2) (2) (5).png
 create mode 100644 docs/.gitbook/assets/feast-on-aws-3- (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (3).png
 rename docs/.gitbook/assets/{image (4) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (1).png => image (4) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (1).png} (100%)
 rename docs/.gitbook/assets/{image (4) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2).png => image (4) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2).png} (100%)
 create mode 100644 docs/.gitbook/assets/image (4) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) (3).png
 create mode 100644 docs/.gitbook/assets/image (6) (3) (3) (3) (3) (3) (3) (3) (3) (3) (2) (1) (4).png
 create mode 100644 docs/.gitbook/assets/image (6) (3) (3) (3) (3) (3) (3) (3) (3) (3) (2) (1) (5).png
 create mode 100644 docs/.gitbook/assets/point_in_time_join (1) (2) (2) (3) (3) (3) (3) (4).png
 rename docs/.gitbook/assets/{rsz_untitled23 (2) (2) (2) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (1).jpg => rsz_untitled23 (2) (2) (2) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (1).jpg} (100%)
 rename docs/.gitbook/assets/{rsz_untitled23 (2) (2) (2) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (2).jpg => rsz_untitled23 (2) (2) (2) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (2).jpg} (100%)
 rename docs/.gitbook/assets/{rsz_untitled23 (2) (2) (2) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3).jpg => rsz_untitled23 (2) (2) (2) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3).jpg} (100%)
 create mode 100644 docs/.gitbook/assets/rsz_untitled23 (2) (2) (2) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (4).jpg
 create mode 100644 docs/.gitbook/assets/untitled-25-1- (2) (2) (2) (3) (3) (3) (3) (3) (3) (1) (4).jpg

diff --git a/docs/.gitbook/assets/feast-architecture-diagrams (1) (1) (1) (2) (3) (4) (3) (1) (1) (1) (1) (7).svg b/docs/.gitbook/assets/feast-architecture-diagrams (1) (1) (1) (2) (3) (4) (3) (1) (1) (1) (1) (7).svg
new file mode 100644
index 00000000000..7335c131c44
--- /dev/null
+++ b/docs/.gitbook/assets/feast-architecture-diagrams (1) (1) (1) (2) (3) (4) (3) (1) (1) (1) (1) (7).svg	
@@ -0,0 +1 @@
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diff --git a/docs/README.md b/docs/README.md
index 449639d63d7..949137768b1 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -4,7 +4,7 @@
 
 Feast \(**Fea**ture **St**ore\) is an operational data system for managing and serving machine learning features to models in production.
 
-![](.gitbook/assets/feast-architecture-diagrams%20%281%29%20%281%29%20%281%29%20%282%29%20%283%29%20%284%29%20%283%29%20%281%29%20%281%29%20%281%29%20%281%29%20%285%29.svg)
+![](.gitbook/assets/feast-architecture-diagrams%20%281%29%20%281%29%20%281%29%20%282%29%20%283%29%20%284%29%20%283%29%20%281%29%20%281%29%20%281%29%20%281%29%20%281%29.svg)
 
 ## Problems Feast Solves
 
diff --git a/docs/concepts/apply.md b/docs/concepts/apply.md
index f061b543e5d..2f02b2cf4c6 100644
--- a/docs/concepts/apply.md
+++ b/docs/concepts/apply.md
@@ -2,27 +2,25 @@
 
 The `apply` command is used to persist your feature definitions in the feature registry and to configure or provision the necessary infrastructure for your feature store to operate
 
-### What happens during `feast apply`
+### What happens during `feast apply`?
 
 #### 1. Scan the Feature Repository
 
-Feast will scan Python files in your Feature Repository, and find all Feast object definitions, such as Feature Views, Entities, and Data Sources. 
+Feast will scan Python files in your feature repository, and find all Feast object definitions, such as feature views, entities, and data sources.
 
 #### 2. Update metadata
 
-If all definitions look valid, Feast will sync the metadata about Feast objects to the Metadata Store. Metadata store is a tiny database storing most of the same information you have in the Feature Repository, plus some state in a more structured form. It is necessary mostly because the production feature serving infrastructure won't be able to access Python files in the Feature Repository at run time, but it will be able to efficiently and securely read the feature definitions from the Metadata Store.
+If all definitions look valid, Feast will sync the metadata about Feast objects to the registry. The registry is a tiny database storing most of the same information you have in the feature repository. This step is necessary because the production feature serving infrastructure won't be able to access Python files in the feature repository at run time, but it will be able to efficiently and securely read the feature definitions from the registry.
 
-#### 3. Create cloud infrastructure
+### 3. Create cloud infrastructure
 
-At this step, Feast CLI will create all necessary infrastructure for feature serving and materialization to work. What exactly gets created depends on what provider is configured to be used in `feature_store.yaml` in the Feature Repository. 
+Feast CLI will create all necessary infrastructure for feature serving and materialization to work. What exactly gets created depends on which provider is configured to be used in `feature_store.yaml` in the feature repository.
 
-For example, for Local provider, it is as easy as creating a file on your local filesystem as a key-value store to serve feature data from. Local provider is most usable for local testing, no real production serving happens there.
+For example, for the `local` provider, it is as easy as creating a sqlite database on disk as a key-value store to serve feature data from. The `local` provider is most usable for local testing, not production use.
 
-A more interesting configuration is when we're configured Feast to use GCP provider and Cloud Datastore to store feature data. When you run `feast apply`, Feast will make sure you have valid credentials and create some metadata objects in the Datastore for each Feature View.
-
-Similarly, when using AWS, Feast will make sure that resources like DynamoDB tables are created for every Feature View.
+A full featured configuration is to use the `gcp` provider and Cloud Datastore to store feature data. When you run `feast apply`, Feast will initialize Datastore based on your Feast objects \(like feature views\) in order to materialize and serve features.
 
 {% hint style="warning" %}
-Since `feast deploy` \(when configured to use non-Local provider\) will create cloud infrastructure in your AWS or GCP account, it may incur some costs on your cloud bill. While we aim to design it in a way that Feast cloud resources don't cost much when not serving features, preferring "serverless" cloud services that bill per request, please refer to the specific Provider documentation to make sure there are no surprises.
+Since `feast apply` \(when configured to use non-Local provider\) will create cloud infrastructure in your AWS or GCP account, it may incur some costs on your cloud bill.
 {% endhint %}
 
diff --git a/docs/concepts/feature-views.md b/docs/concepts/feature-views.md
index 4afb1959be6..defa9ce398b 100644
--- a/docs/concepts/feature-views.md
+++ b/docs/concepts/feature-views.md
@@ -1,6 +1,6 @@
 # Feature Views
 
-### Overview
+## Overview
 
 Feature views are objects used to define and productionize logical groups of features for training and serving.
 
@@ -17,7 +17,7 @@ Feast does not yet apply feature transformations. Feast acts as the productioniz
 
 Entities, features, and sources must be defined in order to define a feature view.
 
-### Entity
+## Entity
 
 Define an entity for the driver. Entities can be thought of as primary keys used to retrieve features. Entities are also used to join multiple tables/views during the construction of feature vectors.
 
@@ -36,9 +36,9 @@ driver = Entity(
 )
 ```
 
-### Feature
+## Feature
 
-A feature is an individual measurable property observed on an entity. For example the amount of transactions \(feature\) a customer \(entity\) has completed. 
+A feature is an individual measurable property observed on an entity. For example the amount of transactions \(feature\) a customer \(entity\) has completed.
 
 Features are defined as part of feature views. Since Feast does not transformation data, a feature is essentially a schema that only contains a name and a type:
 
@@ -47,36 +47,35 @@ conversion_rate = Feature(
     # Name of the feature. Used during lookup of feautres from the feature store
     # The name must be unique
     name="conv_rate",
- 
+
     # The type used for storage of features (both at source and when materialized
     # into a store)
     dtype=ValueType.FLOAT
 )
 ```
 
-### Source
+## Source
 
 Indicates a data source from which feature values can be retrieved. Sources are queried when building training datasets or materializing features into an online store.
 
 ```python
-
 driver_stats_source = BigQuerySource(
     # The BigQuery table where features can be found
     table_ref="feast-oss.demo_data.driver_stats",
-    
+
     # The event timestamp is used for point-in-time joins and for ensuring only
     # features within the TTL are returned
     event_timestamp_column="datetime",
-    
+
     # The (optional) created timestamp is used to ensure there are no duplicate
     # feature rows in the offline store or when building training datasets
     created_timestamp_column="created",
 )
 ```
 
-### Feature View
+## Feature View
 
-A Feature View is a 
+A Feature View is a
 
 {% tabs %}
 {% tab title="driver\_trips\_feature\_table.py" %}
diff --git a/docs/contributing/development-guide.md b/docs/contributing/development-guide.md
index 5268c497eac..e504d9c9dea 100644
--- a/docs/contributing/development-guide.md
+++ b/docs/contributing/development-guide.md
@@ -92,11 +92,11 @@ Feast is composed of [multiple components](https://docs.feast.dev/v/master/conce
 
 ## Making a Pull Request
 
-#### Incorporating upstream changes from master
+### Incorporating upstream changes from master
 
 Our preference is the use of `git rebase` instead of `git merge` : `git pull -r`
 
-#### Signing commits
+### Signing commits
 
 Commits have to be signed before they are allowed to be merged into the Feast codebase:
 
@@ -105,7 +105,7 @@ Commits have to be signed before they are allowed to be merged into the Feast co
 git commit -s -m "My first commit"
 ```
 
-#### Good practices to keep in mind
+### Good practices to keep in mind
 
 * Fill in the description based on the default template configured when you first open the PR
   * What this PR does/why we need it
@@ -136,7 +136,7 @@ Feast Protobuf API defines the common API used by Feast's Components:
 * Feast Protobuf API specifications are written in [proto3](https://developers.google.com/protocol-buffers/docs/proto3) in the Main Feast Repository.
 * Changes to the API should be proposed via a [GitHub Issue](https://github.com/feast-dev/feast/issues/new/choose) for discussion first.
 
-#### Generating Language Bindings
+### Generating Language Bindings
 
 The language specific bindings have to be regenerated when changes are made to the Feast Protobuf API:
 
@@ -146,5 +146,3 @@ The language specific bindings have to be regenerated when changes are made to t
 | [Main Feast Repository](https://github.com/feast-dev/feast) | Golang | Run `make compile-protos-go` to generate bindings |
 | [Feast Java](https://github.com/feast-dev/feast-java) | Java | No action required: bindings are generated automatically during compilation. |
 
-#### 
-
diff --git a/docs/contributing/release-process.md b/docs/contributing/release-process.md
index 7a8370064c5..fdb7d4ad3e9 100644
--- a/docs/contributing/release-process.md
+++ b/docs/contributing/release-process.md
@@ -23,13 +23,13 @@ For Feast maintainers, these are the concrete steps for making a new release.
    3. Check that versions are updated with `env TARGET_MERGE_BRANCH=master make lint-versions`
 7. Create a [GitHub release](https://github.com/feast-dev/feast/releases) which includes a summary of im~~p~~ortant changes as well as any artifacts associated with the release. Make sure to include the same change log as added in [CHANGELOG.md](https://github.com/feast-dev/feast/blob/master/CHANGELOG.md). Use `Feast vX.Y.Z` as the title.
 8. Update the[ Upgrade Guide](../feast-on-kubernetes/advanced-1/upgrading.md)  to include the action required instructions for users to upgrade to this new release. Instructions should include a migration for each breaking change made to this release.
-9. Update[ Feast Supported Versions]() to include the supported versions of each component.
+9. Update[ Feast Supported Versions](release-process.md) to include the supported versions of each component.
 
 When a tag that matches a Semantic Version string is pushed, CI will automatically build and push the relevant artifacts to their repositories or package managers \(docker images, Python wheels, etc\). JVM artifacts are promoted from Sonatype OSSRH to Maven Central, but it sometimes takes some time for them to be available. The `sdk/go/v tag` is required to version the Go SDK go module so that users can go get a specific tagged release of the Go SDK.
 
 ### Creating a change log
 
-We use an [open source change log generator](https://hub.docker.com/r/ferrarimarco/github-changelog-generator/) to generate change logs. The process still requires a little bit of manual effort. 
+We use an [open source change log generator](https://hub.docker.com/r/ferrarimarco/github-changelog-generator/) to generate change logs. The process still requires a little bit of manual effort.
 
 1. Create a GitHub token as [per these instructions](https://github.com/github-changelog-generator/github-changelog-generator#github-token). The token is used as an input argument \(`-t`\) to the change log generator. 
 2. The change log generator configuration below will look for unreleased changes on a specific branch. The branch will be `master` for a major/minor release, or a release branch \(`v0.4-branch`\) for a patch release. You will need to set the branch using the `--release-branch` argument.
@@ -62,5 +62,5 @@ docker run -it --rm ferrarimarco/github-changelog-generator \
 
 It's important to flag breaking changes and deprecation to the API for each release so that we can maintain API compatibility.
 
-Developers should have flagged PRs with breaking changes with the `compat/breaking` label. However, it's important to double check each PR's release notes and contents for changes that will break API compatibility and manually label `compat/breaking` to PRs with undeclared breaking changes. The change log will have to be regenerated if any new labels have to be  added.
+Developers should have flagged PRs with breaking changes with the `compat/breaking` label. However, it's important to double check each PR's release notes and contents for changes that will break API compatibility and manually label `compat/breaking` to PRs with undeclared breaking changes. The change log will have to be regenerated if any new labels have to be added.
 
diff --git a/docs/contributing/versioning-policy.md b/docs/contributing/versioning-policy.md
index acb0c1ded30..b6056e5ee16 100644
--- a/docs/contributing/versioning-policy.md
+++ b/docs/contributing/versioning-policy.md
@@ -4,7 +4,7 @@ description: Versioning policies and status of Feast components
 
 # Versioning Policy
 
-### Versioning policy and branch workflow
+## Versioning policy and branch workflow
 
 Feast uses [semantic versioning](https://semver.org/).
 
@@ -19,9 +19,9 @@ A release branch should be substantially _feature complete_ with respect to the
 
 In general, unless you're committing code that only applies to a particular release stream \(for example, temporary hot-fixes, back-ported security fixes, or image hashes\), you should base changes from `master` and then merge or cherry-pick to the release branch.
 
-### Feast Component Matrix
+## Feast Component Matrix
 
-The following table shows the **status** \(stable, beta, or alpha\) of Feast components. 
+The following table shows the **status** \(stable, beta, or alpha\) of Feast components.
 
 Application status indicators for Feast:
 
@@ -59,7 +59,7 @@ Criteria for reaching **beta** status
 * API reference documentation
 * Deprecative changes must span multiple minor versions and allow for an upgrade path.
 
-### Levels of support <a id="levels-of-support"></a>
+## Levels of support <a id="levels-of-support"></a>
 
 Feast components have various levels of support based on the component status.
 
@@ -69,7 +69,7 @@ Feast components have various levels of support based on the component status.
 | Beta | The Feast community offers best-effort support for beta applications. Beta applications will be supported for at least 2 more minor releases. |
 | Alpha | The response differs per application in alpha status, depending on the size of the community for that application and the current level of active development of the application. |
 
-### Support from the Feast community <a id="support-from-the-kubeflow-community"></a>
+## Support from the Feast community <a id="support-from-the-kubeflow-community"></a>
 
 Feast has an active and helpful community of users and contributors.
 
diff --git a/docs/feast-on-kubernetes/advanced-1/security.md b/docs/feast-on-kubernetes/advanced-1/security.md
index ede9573ec15..cad6d8ea03e 100644
--- a/docs/feast-on-kubernetes/advanced-1/security.md
+++ b/docs/feast-on-kubernetes/advanced-1/security.md
@@ -8,9 +8,9 @@ description: 'Secure Feast with SSL/TLS, Authentication and Authorization.'
 This page applies to Feast 0.7. The content may be out of date for Feast 0.8+
 {% endhint %}
 
-### Overview
+## Overview
 
-![Overview of Feast&apos;s Security Methods.](../../.gitbook/assets/untitled-25-1-%20%282%29%20%282%29%20%282%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%281%29%20%281%29.jpg)
+![Overview of Feast&apos;s Security Methods.](../../.gitbook/assets/untitled-25-1-%20%282%29%20%282%29%20%282%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%281%29.jpg)
 
 Feast supports the following security methods:
 
@@ -20,11 +20,11 @@ Feast supports the following security methods:
 
 [Important considerations when integrating Authentication/Authorization](security.md#5-authentication-and-authorization).
 
-### **SSL/TLS**
+## **SSL/TLS**
 
 Feast supports SSL/TLS encrypted inter-service communication among Feast Core, Feast Online Serving, and Feast SDKs.
 
-#### Configuring SSL/TLS on Feast Core and Feast Serving
+### Configuring SSL/TLS on Feast Core and Feast Serving
 
 The following properties configure SSL/TLS. These properties are located in their corresponding `application.yml`files:
 
@@ -32,11 +32,11 @@ The following properties configure SSL/TLS. These properties are located in thei
 | :--- | :--- |
 | `grpc.server.security.enabled` | Enables SSL/TLS functionality if `true` |
 | `grpc.server.security.certificateChain` | Provide the path to certificate chain. |
-| `grpc.server.security.privateKey` | Provide the to private key.  |
+| `grpc.server.security.privateKey` | Provide the to private key. |
 
 > Read more on enabling SSL/TLS in the[ gRPC starter docs.](https://yidongnan.github.io/grpc-spring-boot-starter/en/server/security.html#enable-transport-layer-security)
 
-#### Configuring SSL/TLS on Python SDK/CLI
+### Configuring SSL/TLS on Python SDK/CLI
 
 To enable SSL/TLS in the [Feast Python SDK](https://api.docs.feast.dev/python/#feast.client.Client) or [Feast CLI](../getting-started/connect-to-feast/feast-cli.md), set the config options via `feast config`:
 
@@ -51,14 +51,14 @@ To enable SSL/TLS in the [Feast Python SDK](https://api.docs.feast.dev/python/#f
 The Python SDK automatically uses SSL/TLS when connecting to Feast Core and Feast Online Serving via port 443.
 {% endhint %}
 
-#### Configuring SSL/TLS on Go SDK
+### Configuring SSL/TLS on Go SDK
 
 Configure SSL/TLS on the [Go SDK](https://godoc.org/github.com/feast-dev/feast/sdk/go) by passing configuration via `SecurityConfig`:
 
 ```go
 cli, err := feast.NewSecureGrpcClient("localhost", 6566, feast.SecurityConfig{
     EnableTLS: true,
- 		TLSCertPath: "/path/to/cert.pem",
+         TLSCertPath: "/path/to/cert.pem",
 })Option
 ```
 
@@ -67,7 +67,7 @@ cli, err := feast.NewSecureGrpcClient("localhost", 6566, feast.SecurityConfig{
 | `EnableTLS` | Enables SSL/TLS functionality when connecting to Feast if `true` |
 | `TLSCertPath` | Optional. Provides the path of the root certificate used to verify Feast Service's identity. If omitted, uses system certificates. |
 
-#### Configuring SSL/TLS on **Java** SDK
+### Configuring SSL/TLS on **Java** SDK
 
 Configure SSL/TLS on the [Feast Java SDK](https://javadoc.io/doc/dev.feast/feast-sdk) by passing configuration via `SecurityConfig`:
 
@@ -84,15 +84,15 @@ FeastClient client = FeastClient.createSecure("localhost", 6566,
 | `setTLSEnabled()` | Enables SSL/TLS functionality when connecting to Feast if `true` |
 | `setCertificatesPath()` | Optional. Set the path of the root certificate used to verify Feast Service's identity. If omitted, uses system certificates. |
 
-### **Authentication**
+## **Authentication**
 
 {% hint style="warning" %}
 To prevent man in the middle attacks, we recommend that SSL/TLS be implemented prior to authentication.
 {% endhint %}
 
-Authentication can be implemented to identify and validate client requests to Feast Core and Feast Online Serving. Currently, Feast uses[ ](https://auth0.com/docs/protocols/openid-connect-protocol)[Open ID Connect \(OIDC\)](https://auth0.com/docs/protocols/openid-connect-protocol) ID tokens \(i.e.  [Google Open ID Connect](https://developers.google.com/identity/protocols/oauth2/openid-connect)\) to authenticate client requests. 
+Authentication can be implemented to identify and validate client requests to Feast Core and Feast Online Serving. Currently, Feast uses[ ](https://auth0.com/docs/protocols/openid-connect-protocol)[Open ID Connect \(OIDC\)](https://auth0.com/docs/protocols/openid-connect-protocol) ID tokens \(i.e. [Google Open ID Connect](https://developers.google.com/identity/protocols/oauth2/openid-connect)\) to authenticate client requests.
 
-#### Configuring Authentication in Feast Core and Feast Online Serving
+### Configuring Authentication in Feast Core and Feast Online Serving
 
 Authentication can be configured for Feast Core and Feast Online Serving via properties in their corresponding `application.yml` files:
 
@@ -116,16 +116,16 @@ Behind the scenes, Feast Core and Feast Online Serving authenticate by:
 
 * Validates token's authenticity using the JWK retrieved from the `jwkEndpointURI`
 
-#### **Authenticating Serving with Feast Core**
+### **Authenticating Serving with Feast Core**
 
-Feast Online Serving communicates with Feast Core during normal operation. When both authentication and authorization are enabled on Feast Core, Feast Online Serving is forced to authenticate its requests to Feast Core. Otherwise, Feast Online Serving produces an Authentication failure error when connecting to Feast Core. 
+Feast Online Serving communicates with Feast Core during normal operation. When both authentication and authorization are enabled on Feast Core, Feast Online Serving is forced to authenticate its requests to Feast Core. Otherwise, Feast Online Serving produces an Authentication failure error when connecting to Feast Core.
 
- Properties used to configure Serving authentication via `application.yml`:
+Properties used to configure Serving authentication via `application.yml`:
 
 | Configuration Property | Description |
 | :--- | :--- |
 | `feast.core-authentication.enabled` | Requires Feast Online Serving to authenticate when communicating with Feast Core. |
-| `feast.core-authentication.provider`  | Selects provider Feast Online Serving uses to retrieve credentials then used to authenticate requests to Feast Core. Valid providers are `google` and `oauth`. |
+| `feast.core-authentication.provider` | Selects provider Feast Online Serving uses to retrieve credentials then used to authenticate requests to Feast Core. Valid providers are `google` and `oauth`. |
 
 {% tabs %}
 {% tab title="Google Provider" %}
@@ -137,54 +137,46 @@ Google Provider automatically extracts the credential from the credential JSON f
 {% tab title="OAuth Provider" %}
 OAuth Provider makes an OAuth [client credentials](https://auth0.com/docs/flows/call-your-api-using-the-client-credentials-flow) request to obtain the credential. OAuth requires the following options to be set at `feast.security.core-authentication.options.`:
 
+| Configuration Property | Description |
+| :--- | :--- |
+
+
+| `oauth_url` | Target URL receiving the client-credentials request. |
+| :--- | :--- |
+
+
+| `grant_type` | OAuth grant type. Set as `client_credentials` |
+| :--- | :--- |
+
+
+| `client_id` | Client Id used in the client-credentials request. |
+| :--- | :--- |
+
+
+| `client_secret` | Client secret used in the client-credentials request. |
+| :--- | :--- |
+
+
 <table>
   <thead>
     <tr>
-      <th style="text-align:left">Configuration Property</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><code>oauth_url</code>
-      </td>
-      <td style="text-align:left">Target URL receiving the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>grant_type</code>
-      </td>
-      <td style="text-align:left">OAuth grant type. Set as <code>client_credentials</code>
-      </td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>client_id</code>
-      </td>
-      <td style="text-align:left">Client Id used in the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>client_secret</code>
-      </td>
-      <td style="text-align:left">Client secret used in the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>audience</code>
-      </td>
-      <td style="text-align:left">
+      <th style="text-align:left"><code>audience</code>
+      </th>
+      <th style="text-align:left">
         <p>Target audience of the credential. Set to host URL of Feast Core.</p>
         <p>(i.e. <code>https://localhost</code> if Feast Core listens on <code>localhost</code>).</p>
-      </td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>jwkEndpointURI</code>
-      </td>
-      <td style="text-align:left">HTTPS URL used to retrieve a JWK that can be used to decode the credential.</td>
+      </th>
     </tr>
-  </tbody>
+  </thead>
+  <tbody></tbody>
 </table>
+
+| `jwkEndpointURI` | HTTPS URL used to retrieve a JWK that can be used to decode the credential. |
+| :--- | :--- |
 {% endtab %}
 {% endtabs %}
 
-#### **Enabling Authentication in Python SDK/CLI**
+### **Enabling Authentication in Python SDK/CLI**
 
 Configure the [Feast Python SDK](https://api.docs.feast.dev/python/) and [Feast CLI](../getting-started/connect-to-feast/feast-cli.md) to use authentication via `feast config`:
 
@@ -195,7 +187,7 @@ $ feast config set enable_auth true
 | Configuration Option | Description |
 | :--- | :--- |
 | `enable_auth` | Enables authentication functionality if set to `true`. |
-| `auth_provider` | Use an authentication provider to obtain a credential for authentication. Currently supports `google` and `oauth`.  |
+| `auth_provider` | Use an authentication provider to obtain a credential for authentication. Currently supports `google` and `oauth`. |
 | `auth_token` | Manually specify a static token for use in authentication. Overrules `auth_provider` if both are set. |
 
 {% tabs %}
@@ -218,49 +210,43 @@ $ export GOOGLE_APPLICATION_CREDENTIALS="path/to/key.json"
 {% tab title="OAuth Provider" %}
 OAuth Provider makes an OAuth [client credentials](https://auth0.com/docs/flows/call-your-api-using-the-client-credentials-flow) request to obtain the credential/token used to authenticate Feast requests. The OAuth provider requires the following config options to be set via `feast config`:
 
+| Configuration Property | Description |
+| :--- | :--- |
+
+
+| `oauth_token_request_url` | Target URL receiving the client-credentials request. |
+| :--- | :--- |
+
+
+| `oauth_grant_type` | OAuth grant type. Set as `client_credentials` |
+| :--- | :--- |
+
+
+| `oauth_client_id` | Client Id used in the client-credentials request. |
+| :--- | :--- |
+
+
+| `oauth_client_secret` | Client secret used in the client-credentials request. |
+| :--- | :--- |
+
+
 <table>
   <thead>
     <tr>
-      <th style="text-align:left">Configuration Property</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><code>oauth_token_request_url</code>
-      </td>
-      <td style="text-align:left">Target URL receiving the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>oauth_grant_type</code>
-      </td>
-      <td style="text-align:left">OAuth grant type. Set as <code>client_credentials</code>
-      </td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>oauth_client_id</code>
-      </td>
-      <td style="text-align:left">Client Id used in the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>oauth_client_secret</code>
-      </td>
-      <td style="text-align:left">Client secret used in the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>oauth_audience</code>
-      </td>
-      <td style="text-align:left">
+      <th style="text-align:left"><code>oauth_audience</code>
+      </th>
+      <th style="text-align:left">
         <p>Target audience of the credential. Set to host URL of target Service.</p>
         <p>(<code>https://localhost</code> if Service listens on <code>localhost</code>).</p>
-      </td>
+      </th>
     </tr>
-  </tbody>
+  </thead>
+  <tbody></tbody>
 </table>
 {% endtab %}
 {% endtabs %}
 
-#### **Enabling Authentication in Go SDK**
+### **Enabling Authentication in Go SDK**
 
 Configure the [Feast Java SDK](https://javadoc.io/doc/dev.feast/feast-sdk/latest/com/gojek/feast/package-summary.html) to use authentication by specifying the credential via `SecurityConfig`:
 
@@ -270,7 +256,7 @@ Configure the [Feast Java SDK](https://javadoc.io/doc/dev.feast/feast-sdk/latest
 cred, _ := feast.NewGoogleCredential("localhost:6566")
 cli, _ := feast.NewSecureGrpcClient("localhost", 6566, feast.SecurityConfig{
   // Specify the credential to provide tokens for Feast Authentication.  
-	Credential: cred, 
+    Credential: cred, 
 })
 ```
 
@@ -302,43 +288,38 @@ OAuth Credential makes an OAuth [client credentials](https://auth0.com/docs/flow
 cred := feast.NewOAuthCredential("localhost:6566", "client_id", "secret", "https://oauth.endpoint/auth")
 ```
 
+| Parameter | Description |
+| :--- | :--- |
+
+
 <table>
   <thead>
     <tr>
-      <th style="text-align:left">Parameter</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><code>audience</code>
-      </td>
-      <td style="text-align:left">
+      <th style="text-align:left"><code>audience</code>
+      </th>
+      <th style="text-align:left">
         <p>Target audience of the credential. Set to host URL of target Service.</p>
         <p>( <code>https://localhost</code> if Service listens on <code>localhost</code>).</p>
-      </td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>clientId</code>
-      </td>
-      <td style="text-align:left">Client Id used in the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>clientSecret</code>
-      </td>
-      <td style="text-align:left">Client secret used in the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>endpointURL</code>
-      </td>
-      <td style="text-align:left">Target URL to make the client-credentials request to.</td>
+      </th>
     </tr>
-  </tbody>
+  </thead>
+  <tbody></tbody>
 </table>
+
+| `clientId` | Client Id used in the client-credentials request. |
+| :--- | :--- |
+
+
+| `clientSecret` | Client secret used in the client-credentials request. |
+| :--- | :--- |
+
+
+| `endpointURL` | Target URL to make the client-credentials request to. |
+| :--- | :--- |
 {% endtab %}
 {% endtabs %}
 
-#### **Enabling Authentication in Java SDK**
+### **Enabling Authentication in Java SDK**
 
 Configure the [Feast Java SDK](https://javadoc.io/doc/dev.feast/feast-sdk/latest/com/gojek/feast/package-summary.html) to use authentication by setting credentials via `SecurityConfig`:
 
@@ -389,54 +370,46 @@ CallCredentials credentials = new OAuthCredentials(Map.of(
   "jwkEndpointURI", "https://jwk.endpoint/jwk"));
 ```
 
+| Parameter | Description |
+| :--- | :--- |
+
+
 <table>
   <thead>
     <tr>
-      <th style="text-align:left">Parameter</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><code>audience</code>
-      </td>
-      <td style="text-align:left">
+      <th style="text-align:left"><code>audience</code>
+      </th>
+      <th style="text-align:left">
         <p>Target audience of the credential. Set to host URL of target Service.</p>
         <p>( <code>https://localhost</code> if Service listens on <code>localhost</code>).</p>
-      </td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>grant_type</code>
-      </td>
-      <td style="text-align:left">OAuth grant type. Set as <code>client_credentials</code>
-      </td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>client_id</code>
-      </td>
-      <td style="text-align:left">Client Id used in the client-credentials request.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>client_secret</code>
-      </td>
-      <td style="text-align:left">Client secret used in the client-credentials request.</td>
+      </th>
     </tr>
-    <tr>
-      <td style="text-align:left"><code>oauth_url</code>
-      </td>
-      <td style="text-align:left">Target URL to make the client-credentials request to obtain credential.</td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><code>jwkEndpointURI</code>
-      </td>
-      <td style="text-align:left">HTTPS URL used to retrieve a JWK that can be used to decode the credential.</td>
-    </tr>
-  </tbody>
+  </thead>
+  <tbody></tbody>
 </table>
+
+| `grant_type` | OAuth grant type. Set as `client_credentials` |
+| :--- | :--- |
+
+
+| `client_id` | Client Id used in the client-credentials request. |
+| :--- | :--- |
+
+
+| `client_secret` | Client secret used in the client-credentials request. |
+| :--- | :--- |
+
+
+| `oauth_url` | Target URL to make the client-credentials request to obtain credential. |
+| :--- | :--- |
+
+
+| `jwkEndpointURI` | HTTPS URL used to retrieve a JWK that can be used to decode the credential. |
+| :--- | :--- |
 {% endtab %}
 {% endtabs %}
 
-### Authorization
+## Authorization
 
 {% hint style="info" %}
 Authorization requires that authentication be configured to obtain a user identity for use in authorizing requests.
@@ -447,9 +420,9 @@ Authorization provides access control to FeatureTables and/or Features based on
 * Create and/or Update a Feature Table in the Project.
 * Retrieve Feature Values for Features in that Project.
 
-#### **Authorization API/Server**
+### **Authorization API/Server**
 
-![Feast Authorization Flow](../../.gitbook/assets/rsz_untitled23%20%282%29%20%282%29%20%282%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29.jpg)
+![Feast Authorization Flow](../../.gitbook/assets/rsz_untitled23%20%282%29%20%282%29%20%282%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29.jpg)
 
 Feast delegates Authorization grants to an external Authorization Server that implements the [Authorization Open API specification](https://github.com/feast-dev/feast/blob/master/common/src/main/resources/api.yaml).
 
@@ -469,12 +442,10 @@ Authorization can be configured for Feast Core and Feast Online Serving via prop
 This example of the [Authorization Server with Keto](https://github.com/feast-dev/feast-keto-auth-server) can be used as a reference implementation for implementing an Authorization Server that Feast supports.
 {% endhint %}
 
-### **Authentication & Authorization**
+## **Authentication & Authorization**
 
 When using Authentication & Authorization, consider:
 
 * Enabling Authentication without Authorization makes authentication **optional**. You can still send unauthenticated requests.
 * Enabling Authorization forces all requests to be authenticated. Requests that are not authenticated are **dropped.**
 
-
-
diff --git a/docs/feast-on-kubernetes/advanced-1/troubleshooting.md b/docs/feast-on-kubernetes/advanced-1/troubleshooting.md
index 7b0224abe31..450766a828e 100644
--- a/docs/feast-on-kubernetes/advanced-1/troubleshooting.md
+++ b/docs/feast-on-kubernetes/advanced-1/troubleshooting.md
@@ -6,9 +6,9 @@ This page applies to Feast 0.7. The content may be out of date for Feast 0.8+
 
 If at any point in time you cannot resolve a problem, please see the [Community](../../community.md) section for reaching out to the Feast community.
 
-### How can I verify that all services are operational?
+## How can I verify that all services are operational?
 
-#### Docker Compose
+### Docker Compose
 
 The containers should be in an `up` state:
 
@@ -16,7 +16,7 @@ The containers should be in an `up` state:
 docker ps
 ```
 
-#### Google Kubernetes Engine
+### Google Kubernetes Engine
 
 All services should either be in a `RUNNING` state or `COMPLETED`state:
 
@@ -24,11 +24,11 @@ All services should either be in a `RUNNING` state or `COMPLETED`state:
 kubectl get pods
 ```
 
-### How can I verify that I can connect to all services?
+## How can I verify that I can connect to all services?
 
 First locate the the host and port of the Feast Services.
 
-#### **Docker Compose \(from inside the docker network\)**
+### **Docker Compose \(from inside the docker network\)**
 
 You will probably need to connect using the hostnames of services and standard Feast ports:
 
@@ -39,7 +39,7 @@ export FEAST_HISTORICAL_SERVING_URL=historical_serving:6567
 export FEAST_JOBCONTROLLER_URL=jobcontroller:6570
 ```
 
-#### **Docker Compose \(from outside the docker network\)**
+### **Docker Compose \(from outside the docker network\)**
 
 You will probably need to connect using `localhost` and standard ports:
 
@@ -50,7 +50,7 @@ export FEAST_HISTORICAL_SERVING_URL=localhost:6567
 export FEAST_JOBCONTROLLER_URL=localhost:6570
 ```
 
-#### **Google Kubernetes Engine \(GKE\)**
+### **Google Kubernetes Engine \(GKE\)**
 
 You will need to find the external IP of one of the nodes as well as the NodePorts. Please make sure that your firewall is open for these ports:
 
@@ -63,7 +63,7 @@ export FEAST_HISTORICAL_SERVING_URL=${FEAST_IP}:32092
 
 `netcat`, `telnet`, or even `curl` can be used to test whether all services are available and ports are open, but `grpc_cli` is the most powerful. It can be installed from [here](https://github.com/grpc/grpc/blob/master/doc/command_line_tool.md).
 
-#### Testing Connectivity From Feast Services:
+### Testing Connectivity From Feast Services:
 
 Use `grpc_cli` to test connetivity by listing the gRPC methods exposed by Feast services:
 
@@ -83,7 +83,7 @@ grpc_cli ls ${FEAST_HISTORICAL_SERVING_URL} feast.serving.ServingService
 grpc_cli ls ${FEAST_ONLINE_SERVING_URL} feast.serving.ServingService
 ```
 
-### How can I print logs from the Feast Services?
+## How can I print logs from the Feast Services?
 
 Feast will typically have three services that you need to monitor if something goes wrong.
 
@@ -94,7 +94,7 @@ Feast will typically have three services that you need to monitor if something g
 
 In order to print the logs from these services, please run the commands below.
 
-#### Docker Compose
+### Docker Compose
 
 Use `docker-compose logs` to obtain Feast component logs:
 
@@ -114,7 +114,7 @@ docker logs -f feast_historical_serving_1
 docker logs -f feast_online_serving_1
 ```
 
-#### Google Kubernetes Engine
+### Google Kubernetes Engine
 
 Use `kubectl logs` to obtain Feast component logs:
 
diff --git a/docs/feast-on-kubernetes/advanced-1/upgrading.md b/docs/feast-on-kubernetes/advanced-1/upgrading.md
index 7e61d3518b1..b3562947c24 100644
--- a/docs/feast-on-kubernetes/advanced-1/upgrading.md
+++ b/docs/feast-on-kubernetes/advanced-1/upgrading.md
@@ -1,8 +1,8 @@
 # Upgrading Feast
 
-### Migration from v0.6 to v0.7
+## Migration from v0.6 to v0.7
 
-#### Feast Core Validation changes
+### Feast Core Validation changes
 
 In v0.7, Feast Core no longer accepts starting with number \(0-9\) and using dash in names for:
 
@@ -20,9 +20,9 @@ Feast now prevents feature sets from being applied if no store is subscribed to
 
 * Ensure that a store is configured to subscribe to the Feature Set before applying the Feature Set.
 
-#### Feast Core's Job Coordinator is now Feast Job Controller
+### Feast Core's Job Coordinator is now Feast Job Controller
 
-In v0.7,  Feast Core's Job Coordinator has been decoupled from Feast Core and runs as a separate Feast Job Controller application. See its [Configuration reference](../reference-1/configuration-reference.md#2-feast-core-serving-and-job-controller) for how to configure Feast Job Controller.
+In v0.7, Feast Core's Job Coordinator has been decoupled from Feast Core and runs as a separate Feast Job Controller application. See its [Configuration reference](../reference-1/configuration-reference.md#2-feast-core-serving-and-job-controller) for how to configure Feast Job Controller.
 
 **Ingestion Job API**
 
@@ -42,15 +42,15 @@ Users of Ingestion Job via Python SDK \(ie `feast ingest-jobs list` or `client.s
 * `ingest_job()`methods only: Create a new separate [Job Controller client](https://github.com/feast-dev/feast/blob/master/sdk/python/feast/contrib/job_controller/client.py) to connect to the job controller and call `ingest_job()` methods using the new client.
 * Configure the Feast Job Controller endpoint url via `jobcontroller_url` config option.
 
-#### Configuration Properties Changes
+### Configuration Properties Changes
 
 * Rename `feast.jobs.consolidate-jobs-per-source property` to `feast.jobs.controller.consolidate-jobs-per-sources`
 * Rename`feast.security.authorization.options.subjectClaim` to  `feast.security.authentication.options.subjectClaim`
 * Rename `feast.logging.audit.messageLoggingEnabled` to `feast.audit.messageLogging.enabled`
 
-### Migration from v0.5 to v0.6
+## Migration from v0.5 to v0.6
 
-#### Database schema
+### Database schema
 
 In Release 0.6 we introduced [Flyway](https://flywaydb.org/) to handle schema migrations in PostgreSQL. Flyway is integrated into `core` and for now on all migrations will be run automatically on `core` start. It uses table `flyway_schema_history` in the same database \(also created automatically\) to keep track of already applied migrations. So no specific maintenance should be needed.
 
@@ -94,9 +94,9 @@ Minor changes:
 
   has now `version` and `delivery_status`.
 
-### Migration from v0.4 to v0.6
+## Migration from v0.4 to v0.6
 
-#### Database
+### Database
 
 For all versions earlier than 0.5 seamless migration is not feasible due to earlier breaking changes and creation of new database will be required.
 
diff --git a/docs/feast-on-kubernetes/concepts/architecture.md b/docs/feast-on-kubernetes/concepts/architecture.md
index bac84d0027a..f87f20b3a58 100644
--- a/docs/feast-on-kubernetes/concepts/architecture.md
+++ b/docs/feast-on-kubernetes/concepts/architecture.md
@@ -1,8 +1,6 @@
 # Architecture
 
-
-
-![](../../.gitbook/assets/image%20%286%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%282%29%20%281%29%20%283%29.png)
+![](../../.gitbook/assets/image%20%286%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%283%29%20%282%29%20%281%29%20%285%29.png)
 
 ## Sequence description
 
diff --git a/docs/feast-on-kubernetes/concepts/glossary.md b/docs/feast-on-kubernetes/concepts/glossary.md
index 2c521e57ac8..04d9dbe7844 100644
--- a/docs/feast-on-kubernetes/concepts/glossary.md
+++ b/docs/feast-on-kubernetes/concepts/glossary.md
@@ -1,26 +1,26 @@
 # Glossary
 
-#### **Entity key**
+## **Entity key**
 
 The combination of entities that uniquely identify a row. For example a feature table with the composite entity of \(customer, country\) might have an entity key of \(1001, 5\). They key is used during lookups of feature values and for deduplicating historical rows.
 
-#### Entity timestamp
+## Entity timestamp
 
 The timestamp on which an event occurred. The entity timestamp could describe the event time at which features were calculated, or it could describe the event timestamps at which outcomes were observed.
 
 Entity timestamps are commonly found on the entity dataframe and associated with the target variable \(outcome\) that needs to be predicted. These timestamps are the target on which point-in-time joins should be made.
 
-#### Entity rows
+## Entity rows
 
 A combination of a single [entity key ](glossary.md#entity-key)and a single [entity timestamp](glossary.md#entity-timestamp).
 
-#### Entity dataframe
+## Entity dataframe
 
 A collection of [entity rows](glossary.md#entity-rows). This dataframe is enriched with feature values before being used for model training.
 
-#### Feature References
+## Feature References
 
-Feature references uniquely identify feature values throughout Feast. Feature references can either be defined as objects or as strings. 
+Feature references uniquely identify feature values throughout Feast. Feature references can either be defined as objects or as strings.
 
 The structure of a feature reference in string form is as follows:
 
diff --git a/docs/feast-on-kubernetes/concepts/overview.md b/docs/feast-on-kubernetes/concepts/overview.md
index ce59e10832b..a178bc6671e 100644
--- a/docs/feast-on-kubernetes/concepts/overview.md
+++ b/docs/feast-on-kubernetes/concepts/overview.md
@@ -1,6 +1,6 @@
 # Overview
 
-### Concepts
+## Concepts
 
 [Entities](entities.md) are objects in an organization like customers, transactions, and drivers, products, etc.
 
@@ -8,9 +8,9 @@
 
 [Feature Tables](feature-tables.md) are objects that define logical groupings of features, data sources, and other related metadata.
 
-### Concept Hierarchy
+## Concept Hierarchy
 
-![](../../.gitbook/assets/image%20%284%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%281%29.png)
+![](../../.gitbook/assets/image%20%284%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29.png)
 
 Feast contains the following core concepts:
 
diff --git a/docs/feast-on-kubernetes/concepts/sources.md b/docs/feast-on-kubernetes/concepts/sources.md
index 23e49fbff87..f5d607d7592 100644
--- a/docs/feast-on-kubernetes/concepts/sources.md
+++ b/docs/feast-on-kubernetes/concepts/sources.md
@@ -1,17 +1,17 @@
 # Sources
 
-### Overview
+## Overview
 
 Sources are descriptions of external feature data and are registered to Feast as part of [feature tables](feature-tables.md). Once registered, Feast can ingest feature data from these sources into stores.
 
 Currently, Feast supports the following source types:
 
-#### Batch Source
+### Batch Source
 
 * File \(as in Spark\): Parquet \(only\).
 * BigQuery
 
-#### Stream Source
+### Stream Source
 
 * Kafka
 * Kinesis
@@ -21,7 +21,7 @@ The following encodings are supported on streams
 * Avro
 * Protobuf
 
-### Structure of a Source
+## Structure of a Source
 
 For both batch and stream sources, the following configurations are necessary:
 
@@ -63,9 +63,9 @@ stream_kafka_source = KafkaSource(
 
 The [Feast Python API documentation](https://api.docs.feast.dev/python/) provides more information about options to specify for the above sources.
 
-### Working with a Source
+## Working with a Source
 
-#### Creating a Source
+### Creating a Source
 
 Sources are defined as part of [feature tables](feature-tables.md):
 
diff --git a/docs/feast-on-kubernetes/concepts/stores.md b/docs/feast-on-kubernetes/concepts/stores.md
index 8a910719c89..2e3bac5528b 100644
--- a/docs/feast-on-kubernetes/concepts/stores.md
+++ b/docs/feast-on-kubernetes/concepts/stores.md
@@ -1,12 +1,12 @@
 # Stores
 
-In Feast, a store is a database that is populated with feature data that will ultimately be served to models. 
+In Feast, a store is a database that is populated with feature data that will ultimately be served to models.
 
-### Offline \(Historical\) Store
+## Offline \(Historical\) Store
 
 The offline store maintains historical copies of feature values. These features are grouped and stored in feature tables. During retrieval of historical data, features are queries from these feature tables in order to produce training datasets.
 
-### Online Store
+## Online Store
 
 The online store maintains only the latest values for a specific feature.
 
@@ -18,5 +18,3 @@ The online store maintains only the latest values for a specific feature.
 Feast only supports a single online store in production
 {% endhint %}
 
-
-
diff --git a/docs/feast-on-kubernetes/getting-started/README.md b/docs/feast-on-kubernetes/getting-started/README.md
index 4a5296eba3c..716dd63ff63 100644
--- a/docs/feast-on-kubernetes/getting-started/README.md
+++ b/docs/feast-on-kubernetes/getting-started/README.md
@@ -1,18 +1,18 @@
 # Getting Started
 
-### Install Feast
+## Install Feast
 
 If you would like to deploy a new installation of Feast, click on [Install Feast](install-feast/)
 
 {% page-ref page="install-feast/" %}
 
-### Connect to Feast
+## Connect to Feast
 
 If you would like to connect to an existing Feast deployment, click on [Connect to Feast](connect-to-feast/)
 
 {% page-ref page="connect-to-feast/" %}
 
-### Learn Feast
+## Learn Feast
 
 If you would like to learn more about Feast, click on [Learn Feast](learn-feast.md)
 
diff --git a/docs/feast-on-kubernetes/getting-started/connect-to-feast/README.md b/docs/feast-on-kubernetes/getting-started/connect-to-feast/README.md
index 4333359f902..c2350d78850 100644
--- a/docs/feast-on-kubernetes/getting-started/connect-to-feast/README.md
+++ b/docs/feast-on-kubernetes/getting-started/connect-to-feast/README.md
@@ -1,6 +1,6 @@
 # Connect to Feast
 
-### Feast Python SDK
+## Feast Python SDK
 
 The Feast Python SDK is used as a library to interact with a Feast deployment.
 
@@ -11,7 +11,7 @@ The Feast Python SDK is used as a library to interact with a Feast deployment.
 
 {% page-ref page="python-sdk.md" %}
 
-### Feast CLI
+## Feast CLI
 
 The Feast CLI is a command line implementation of the Feast Python SDK.
 
@@ -21,7 +21,7 @@ The Feast CLI is a command line implementation of the Feast Python SDK.
 
 {% page-ref page="feast-cli.md" %}
 
-### Online Serving Clients
+## Online Serving Clients
 
 The following clients can be used to retrieve online feature values:
 
diff --git a/docs/feast-on-kubernetes/getting-started/install-feast/google-cloud-gke-with-terraform.md b/docs/feast-on-kubernetes/getting-started/install-feast/google-cloud-gke-with-terraform.md
index a3252cf0bbb..84aa761315c 100644
--- a/docs/feast-on-kubernetes/getting-started/install-feast/google-cloud-gke-with-terraform.md
+++ b/docs/feast-on-kubernetes/getting-started/install-feast/google-cloud-gke-with-terraform.md
@@ -1,6 +1,6 @@
 # Google Cloud GKE \(with Terraform\)
 
-### Overview
+## Overview
 
 This guide installs Feast on GKE using our [reference Terraform configuration](https://github.com/feast-dev/feast/tree/master/infra/terraform/gcp).
 
@@ -16,13 +16,13 @@ This Terraform configuration creates the following resources:
 * Dataproc cluster
 * Kafka running on GKE, exposed to the dataproc cluster via internal load balancer
 
-### 1. Requirements
+## 1. Requirements
 
 * Install [Terraform](https://www.terraform.io/) &gt; = 0.12 \(tested with 0.13.3\)
 * Install [Helm](https://helm.sh/docs/intro/install/) \(tested with v3.3.4\)
 * GCP [authentication](https://cloud.google.com/docs/authentication) and sufficient [privilege](https://cloud.google.com/iam/docs/understanding-roles) to create the resources listed above.
 
-### 2. Configure Terraform 
+## 2. Configure Terraform
 
 Create a `.tfvars` file under`feast/infra/terraform/gcp`. Name the file. In our example, we use `my_feast.tfvars`. You can see the full list of configuration variables in `variables.tf`. Sample configurations are provided below:
 
@@ -38,7 +38,7 @@ dataproc_staging_bucket = "feast-dataproc"
 ```
 {% endcode %}
 
-### 3. Apply
+## 3. Apply
 
 After completing the configuration, initialize Terraform and apply:
 
@@ -48,5 +48,3 @@ $ terraform init
 $ terraform apply -var-file=my_feast.tfvars
 ```
 
-
-
diff --git a/docs/feast-on-kubernetes/getting-started/install-feast/kubernetes-amazon-eks-with-terraform.md b/docs/feast-on-kubernetes/getting-started/install-feast/kubernetes-amazon-eks-with-terraform.md
index f3f1e442243..03897a1cb35 100644
--- a/docs/feast-on-kubernetes/getting-started/install-feast/kubernetes-amazon-eks-with-terraform.md
+++ b/docs/feast-on-kubernetes/getting-started/install-feast/kubernetes-amazon-eks-with-terraform.md
@@ -1,6 +1,6 @@
 # Amazon EKS \(with Terraform\)
 
-### Overview
+## Overview
 
 This guide installs Feast on AWS using our [reference Terraform configuration](https://github.com/feast-dev/feast/tree/master/infra/terraform/aws).
 
@@ -17,15 +17,15 @@ This Terraform configuration creates the following resources:
 * Amazon EMR cluster to run Spark \(3x spot m4.xlarge\)
 * Staging S3 bucket to store temporary data
 
-![](../../../.gitbook/assets/feast-on-aws-3-%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%281%29.png)
+![](../../../.gitbook/assets/feast-on-aws-3-%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29%20%282%29.png)
 
-### 1. Requirements
+## 1. Requirements
 
 * Create an AWS account and [configure credentials locally](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html)
 * Install [Terraform](https://www.terraform.io/) &gt; = 0.12 \(tested with 0.13.3\)
 * Install [Helm](https://helm.sh/docs/intro/install/) \(tested with v3.3.4\)
 
-### 2. Configure Terraform 
+## 2. Configure Terraform
 
 Create a `.tfvars` file under`feast/infra/terraform/aws`. Name the file. In our example, we use `my_feast.tfvars`. You can see the full list of configuration variables in `variables.tf`. At a minimum, you need to set `name_prefix` and an AWS region:
 
@@ -36,7 +36,7 @@ region      = "us-east-1"
 ```
 {% endcode %}
 
-### 3. Apply
+## 3. Apply
 
 After completing the configuration, initialize Terraform and apply:
 
@@ -46,13 +46,13 @@ $ terraform init
 $ terraform apply -var-file=my_feast.tfvars
 ```
 
-Starting may take a minute.  A kubectl configuration file is also created in this directory, and the file's name will start with `kubeconfig_` and end with a random suffix.
+Starting may take a minute. A kubectl configuration file is also created in this directory, and the file's name will start with `kubeconfig_` and end with a random suffix.
 
-### 4. Connect to Feast using Jupyter
+## 4. Connect to Feast using Jupyter
 
 After all pods are running, connect to the Jupyter Notebook Server running in the cluster.
 
-To connect to the remote Feast server you just created, forward a port from the remote k8s cluster to your local machine. Replace `kubeconfig_XXXXXXX` below with the kubeconfig file name Terraform generates for you. 
+To connect to the remote Feast server you just created, forward a port from the remote k8s cluster to your local machine. Replace `kubeconfig_XXXXXXX` below with the kubeconfig file name Terraform generates for you.
 
 ```bash
 KUBECONFIG=kubeconfig_XXXXXXX kubectl port-forward \
diff --git a/docs/feast-on-kubernetes/reference-1/limitations.md b/docs/feast-on-kubernetes/reference-1/limitations.md
index efde485a805..1a9c79b6b02 100644
--- a/docs/feast-on-kubernetes/reference-1/limitations.md
+++ b/docs/feast-on-kubernetes/reference-1/limitations.md
@@ -1,6 +1,6 @@
 # Limitations
 
-### Feast API
+## Feast API
 
 <table>
   <thead>
@@ -38,13 +38,13 @@
   </tbody>
 </table>
 
-### Ingestion
+## Ingestion
 
 | Limitation | Motivation |
 | :--- | :--- |
 | Once data has been ingested into Feast, there is currently no way to delete the data without manually going to the database and deleting it. However, during retrieval only the latest rows will be returned for a specific key \(`event_timestamp`, `entity`\) based on its `created_timestamp`. | This functionality simply doesn't exist yet as a Feast API |
 
-### Storage
+## Storage
 
 | Limitation | Motivation |
 | :--- | :--- |
diff --git a/docs/feast-on-kubernetes/reference-1/metrics-reference.md b/docs/feast-on-kubernetes/reference-1/metrics-reference.md
index 78f94bc3901..a4997939529 100644
--- a/docs/feast-on-kubernetes/reference-1/metrics-reference.md
+++ b/docs/feast-on-kubernetes/reference-1/metrics-reference.md
@@ -48,7 +48,7 @@ Feast Serving exports the following metrics:
 | :--- | :--- | :--- |
 | `feast_serving_request_latency_seconds` | Feast Serving's latency in serving Requests in  Seconds. | `method` |
 | `feast_serving_request_feature_count` | No. of requests retrieving a Feature from Feast Serving. | `project`, `feature_name` |
-| `feast_serving_not_found_feature_count` | No. of requests retrieving a Feature has resulted in a [`NOT_FOUND` field status.](../user-guide/getting-training-features.md#online-field-statuses)  | `project`, `feature_name` |
+| `feast_serving_not_found_feature_count` | No. of requests retrieving a Feature has resulted in a [`NOT_FOUND` field status.](../user-guide/getting-training-features.md#online-field-statuses) | `project`, `feature_name` |
 | `feast_serving_stale_feature_count` | No. of requests retrieving a Feature resulted in a [`OUTSIDE_MAX_AGE` field status.](../user-guide/getting-training-features.md#online-field-statuses) | `project`, `feature_name` |
 | `feast_serving_grpc_request_count` | Total gRPC requests served. | `method` |
 
@@ -69,12 +69,12 @@ Feast Ingestion computes both metrics an statistics on [data ingestion.](../user
 
 **Metrics Namespace**
 
-Metrics are computed at  two stages of the Feature Row's/Feature Value's life cycle when being processed by the Ingestion Job:
+Metrics are computed at two stages of the Feature Row's/Feature Value's life cycle when being processed by the Ingestion Job:
 
 * `Inflight`- Prior to writing data to stores, but after successful validation of data.
 * `WriteToStoreSucess`-  After a successful store write.
 
-Metrics processed by each staged will be tagged with `metrics_namespace`  to the stage where the metric was computed.
+Metrics processed by each staged will be tagged with `metrics_namespace` to the stage where the metric was computed.
 
 **Metrics Bucketing**
 
@@ -165,7 +165,7 @@ Metrics with a `{BUCKET}` are computed on a 60 second window/bucket. Suffix with
 
 **Metric Tags**
 
-Exported Feast Ingestion Job  metrics may be filtered by the following tags/keys
+Exported Feast Ingestion Job metrics may be filtered by the following tags/keys
 
 | Tag | Description |
 | :--- | :--- |
diff --git a/docs/feast-on-kubernetes/user-guide/define-and-ingest-features.md b/docs/feast-on-kubernetes/user-guide/define-and-ingest-features.md
index b5697da3c62..5a7e7288ec9 100644
--- a/docs/feast-on-kubernetes/user-guide/define-and-ingest-features.md
+++ b/docs/feast-on-kubernetes/user-guide/define-and-ingest-features.md
@@ -2,12 +2,11 @@
 
 In order to retrieve features for both training and serving, Feast requires data being ingested into its offline and online stores.
 
-
 Users are expected to already have either a batch or stream source with data stored in it, ready to be ingested into Feast. Once a feature table \(with the corresponding sources\) has been registered with Feast, it is possible to load data from this source into stores.
 
 The following depicts an example ingestion flow from a data source to the online store.
 
-### Batch Source to Online Store
+## Batch Source to Online Store
 
 ```python
 from feast import Client
@@ -26,7 +25,7 @@ client.start_offline_to_online_ingestion(
 )
 ```
 
-### Stream Source to Online Store
+## Stream Source to Online Store
 
 ```python
 from feast import Client
@@ -39,13 +38,13 @@ driver_ft = client.get_feature_table("driver_trips")
 client.start_stream_to_online_ingestion(driver_ft)
 ```
 
-### Batch Source to Offline Store
+## Batch Source to Offline Store
 
 {% hint style="danger" %}
 Not supported in Feast 0.8
 {% endhint %}
 
-### Stream Source to Offline Store
+## Stream Source to Offline Store
 
 {% hint style="danger" %}
 Not supported in Feast 0.8
diff --git a/docs/feast-on-kubernetes/user-guide/getting-online-features.md b/docs/feast-on-kubernetes/user-guide/getting-online-features.md
index c16dc08a013..83523046cb4 100644
--- a/docs/feast-on-kubernetes/user-guide/getting-online-features.md
+++ b/docs/feast-on-kubernetes/user-guide/getting-online-features.md
@@ -40,9 +40,9 @@ The online store must be populated through [ingestion jobs](define-and-ingest-fe
 
 Feast Serving provides a [gRPC API](https://api.docs.feast.dev/grpc/feast.serving.pb.html) that is backed by [Redis](https://redis.io/). We have native clients in [Python](https://api.docs.feast.dev/python/), [Go](https://godoc.org/github.com/gojek/feast/sdk/go), and [Java](https://javadoc.io/doc/dev.feast).
 
-### Online Field Statuses
+## Online Field Statuses
 
-Feast also returns status codes when retrieving features from the Feast Serving API. These status code give useful insight into the quality of data being served. 
+Feast also returns status codes when retrieving features from the Feast Serving API. These status code give useful insight into the quality of data being served.
 
 | Status | Meaning |
 | :--- | :--- |
diff --git a/docs/feast-on-kubernetes/user-guide/getting-training-features.md b/docs/feast-on-kubernetes/user-guide/getting-training-features.md
index 0a24181fad6..7d92c5c018f 100644
--- a/docs/feast-on-kubernetes/user-guide/getting-training-features.md
+++ b/docs/feast-on-kubernetes/user-guide/getting-training-features.md
@@ -2,7 +2,7 @@
 
 Feast provides a historical retrieval interface for exporting feature data in order to train machine learning models. Essentially, users are able to enrich their data with features from any feature tables.
 
-### Retrieving historical features
+## Retrieving historical features
 
 Below is an example of the process required to produce a training dataset:
 
@@ -31,7 +31,7 @@ historical_feature_retrieval_job = client.get_historical_features(
 output_file_uri = historical_feature_retrieval_job.get_output_file_uri()
 ```
 
-#### 1. Define feature references
+### 1. Define feature references
 
 [Feature references](../concepts/glossary.md#feature-references) define the specific features that will be retrieved from Feast. These features can come from multiple feature tables. The only requirement is that the feature tables that make up the feature references have the same entity \(or composite entity\).
 
@@ -41,11 +41,11 @@ Feast needs to join feature values onto specific entities at specific points in
 
 **3. Launch historical retrieval job**
 
-Once the feature references and an entity source are defined, it is possible to call `get_historical_features()`.  This method launches a job that extracts features from the sources defined in the provided feature tables, joins them onto the provided entity source, and returns a reference to the training dataset that is produced.
+Once the feature references and an entity source are defined, it is possible to call `get_historical_features()`. This method launches a job that extracts features from the sources defined in the provided feature tables, joins them onto the provided entity source, and returns a reference to the training dataset that is produced.
 
 Please see the [Feast SDK](https://api.docs.feast.dev/python) for more details.
 
-### Point-in-time Joins
+## Point-in-time Joins
 
 Feast always joins features onto entity data in a point-in-time correct way. The process can be described through an example.
 
@@ -56,7 +56,7 @@ In the example below there are two tables \(or dataframes\):
 
 The user would like to have the driver features joined onto the entity dataframe to produce a training dataset that contains both the target \(trip\_completed\) and features \(average\_daily\_rides, maximum\_daily\_rides, rating\). This dataset will then be used to train their model.
 
-![](../../.gitbook/assets/point_in_time_join%20%281%29%20%282%29%20%282%29%20%283%29%20%283%29%20%283%29%20%283%29%20%281%29.png)
+![](../../.gitbook/assets/point_in_time_join%20%281%29%20%282%29%20%282%29%20%283%29%20%283%29%20%283%29%20%283%29.png)
 
 Feast is able to intelligently join feature data with different timestamps to a single entity dataframe. It does this through a point-in-time join as follows:
 
diff --git a/docs/feast-on-kubernetes/user-guide/overview.md b/docs/feast-on-kubernetes/user-guide/overview.md
index 2d6eb9981bb..c47f6c71dd1 100644
--- a/docs/feast-on-kubernetes/user-guide/overview.md
+++ b/docs/feast-on-kubernetes/user-guide/overview.md
@@ -1,6 +1,6 @@
 # Overview
 
-### Using Feast
+## Using Feast
 
 Feast development happens through three key workflows:
 
@@ -8,23 +8,23 @@ Feast development happens through three key workflows:
 2. [Retrieve historical features for training models](getting-training-features.md)
 3. [Retrieve online features for serving models](getting-online-features.md)
 
-### Defining feature tables and ingesting data into Feast
+## Defining feature tables and ingesting data into Feast
 
 Feature creators model the data within their organization into Feast through the definition of [feature tables](../concepts/feature-tables.md) that contain [data sources](../concepts/sources.md). Feature tables are both a schema and a means of identifying data sources for features, and allow Feast to know how to interpret your data, and where to find it.
 
-After registering a feature table with Feast, users can trigger an ingestion from their data source into Feast. This loads feature values from an upstream data source into Feast stores through ingestion jobs. 
+After registering a feature table with Feast, users can trigger an ingestion from their data source into Feast. This loads feature values from an upstream data source into Feast stores through ingestion jobs.
 
 Visit [feature tables](../concepts/feature-tables.md#overview) to learn more about them.
 
 {% page-ref page="define-and-ingest-features.md" %}
 
-### Retrieving historical features for training
+## Retrieving historical features for training
 
 In order to generate a training dataset it is necessary to provide both an [entity dataframe ](../concepts/glossary.md#entity-dataframe)and feature references through the[ Feast SDK](https://api.docs.feast.dev/python/) to retrieve historical features. For historical serving, Feast requires that you provide the entities and timestamps for the corresponding feature data. Feast produces a point-in-time correct dataset using the requested features. These features can be requested from an unlimited number of feature sets.
 
 {% page-ref page="getting-training-features.md" %}
 
-### Retrieving online features for online serving
+## Retrieving online features for online serving
 
 Online retrieval uses feature references through the [Feast Online Serving API](https://api.docs.feast.dev/grpc/feast.serving.pb.html) to retrieve online features. Online serving allows for very low latency requests to feature data at very high throughput.
 
diff --git a/docs/how-to-guides/build-a-training-dataset.md b/docs/how-to-guides/build-a-training-dataset.md
index 6e7eb8833ff..1f863261447 100644
--- a/docs/how-to-guides/build-a-training-dataset.md
+++ b/docs/how-to-guides/build-a-training-dataset.md
@@ -2,15 +2,15 @@
 
 Feast allows users to build a training dataset from time-series feature data that already exists in an offline store. Users are expected to provide a list of features to retrieve \(which may span multiple feature views\), and a dataframe to join the resulting features onto. Feast will then execute a point-in-time join of multiple feature views onto the provided dataframe, and return the full resulting dataframe.
 
-### Retrieving historical features
+## Retrieving historical features
 
-#### 1. Register your feature views
+### 1. Register your feature views
 
 Please ensure that you have created a feature repository and that you have registered \(applied\) your feature views with Feast.
 
 {% page-ref page="deploy-a-feature-store.md" %}
 
-#### 2. Define feature references
+### 2. Define feature references
 
 Start by defining the feature references \(e.g., `driver_trips:average_daily_rides`\) for the features that you would like to retrieve from the offline store. These features can come from multiple feature tables. The only requirement is that the feature tables that make up the feature references have the same entity \(or composite entity\), and that they aren't located in the same offline store.
 
@@ -69,5 +69,5 @@ training_df = fs.get_historical_features(
 ).to_df()
 ```
 
-Once the feature references and an entity dataframe are defined, it is possible to call `get_historical_features()`. This method launches a job that executes a point-in-time join of features from the offline store onto the entity dataframe. Once completed, a job reference will be returned. This job reference can then be converted to a Pandas dataframe by calling `to_df()`. 
+Once the feature references and an entity dataframe are defined, it is possible to call `get_historical_features()`. This method launches a job that executes a point-in-time join of features from the offline store onto the entity dataframe. Once completed, a job reference will be returned. This job reference can then be converted to a Pandas dataframe by calling `to_df()`.
 
diff --git a/docs/how-to-guides/create-a-feature-repository.md b/docs/how-to-guides/create-a-feature-repository.md
index bcce807db28..26cdb2bf878 100644
--- a/docs/how-to-guides/create-a-feature-repository.md
+++ b/docs/how-to-guides/create-a-feature-repository.md
@@ -14,7 +14,7 @@ Creating a new Feast repository in /<...>/tiny_pika.
 {% endtab %}
 
 {% tab title="GCP template" %}
-```
+```text
 feast init -t gcp
 
 Creating a new Feast repository in /<...>/tiny_pika.
@@ -29,7 +29,7 @@ $ tree
 .
 └── tiny_pika
     ├── data
-    │   └── driver_stats.parquet
+    │   └── driver_stats.parquet
     ├── example.py
     └── feature_store.yaml
 
@@ -49,5 +49,3 @@ You can now use this feature repository for development. You can try the followi
 * Edit the example feature definitions in  `example.py` and run `feast apply` again to change feature definitions.
 * Initialize a git repository in the same directory and checking the feature repository into version control.
 
-
-
diff --git a/docs/how-to-guides/deploy-a-feature-store.md b/docs/how-to-guides/deploy-a-feature-store.md
index 55f28b78a9b..e57590e60ef 100644
--- a/docs/how-to-guides/deploy-a-feature-store.md
+++ b/docs/how-to-guides/deploy-a-feature-store.md
@@ -25,7 +25,7 @@ At this point, no data has been materialized to your online store. Feast apply s
 
 ## Cleaning up
 
-If you need to clean up the  infrastructure created by `feast apply`, use the `teardown` command.
+If you need to clean up the infrastructure created by `feast apply`, use the `teardown` command.
 
 {% hint style="danger" %}
 Warning: `teardown` is an irreversible command and will remove all feature store infrastructure. Proceed with caution!
@@ -35,11 +35,5 @@ Warning: `teardown` is an irreversible command and will remove all feature store
 feast teardown
 ```
 
- 
-
 \*\*\*\*
 
-
-
-
-
diff --git a/docs/how-to-guides/load-data-into-the-online-store.md b/docs/how-to-guides/load-data-into-the-online-store.md
index 1481b1f849f..50419fb800d 100644
--- a/docs/how-to-guides/load-data-into-the-online-store.md
+++ b/docs/how-to-guides/load-data-into-the-online-store.md
@@ -4,15 +4,15 @@ Feast allows users to load their feature data into an online store in order to s
 
 ## Materializing features
 
-#### 1. Register feature views
+### 1. Register feature views
 
 Before proceeding, please ensure that you have applied \(registered\) the feature views that should be materialized.
 
 {% page-ref page="deploy-a-feature-store.md" %}
 
-#### 2.a Materialize
+### 2.a Materialize
 
-The materialize command allows users to materialize features over a specific historical time range into the online store. 
+The materialize command allows users to materialize features over a specific historical time range into the online store.
 
 ```bash
 feast materialize 2021-04-07T00:00:00 2021-04-08T00:00:00
@@ -20,16 +20,16 @@ feast materialize 2021-04-07T00:00:00 2021-04-08T00:00:00
 
 The above command will query the batch sources for all feature views over the provided time range, and load the latest feature values into the configured online store.
 
-It is also possible to materialize for specific feature views by using the `-v / --views` argument. 
+It is also possible to materialize for specific feature views by using the `-v / --views` argument.
 
 ```text
 feast materialize 2021-04-07T00:00:00 2021-04-08T00:00:00 \
 --views driver_hourly_stats
 ```
 
-The materialize command is completely stateless. It requires the user to provide the time ranges that will be loaded into the online store. This command is best used from a scheduler that tracks state, like Airflow. 
+The materialize command is completely stateless. It requires the user to provide the time ranges that will be loaded into the online store. This command is best used from a scheduler that tracks state, like Airflow.
 
-#### 2.b Materialize Incremental \(Alternative\)
+### 2.b Materialize Incremental \(Alternative\)
 
 For simplicity, Feast also provides a materialize command that will only ingest new data that has arrived in the offline store. Unlike `materialize`, `materialize-incremental` will track the state of previous ingestion runs inside of the feature registry.
 
@@ -41,7 +41,7 @@ feast materialize-incremental 2021-04-08T00:00:00
 
 The `materialize-incremental` command functions similarly to `materialize` in that it loads data over a specific time range for all feature views \(or the selected feature views\) into the online store.
 
-Unlike `materialize`,  `materialize-incremental` automatically determines the start time from which to load features from batch sources of each feature view. The first time `materialize-incremental` is executed it will set the start time to the oldest timestamp of each data source, and the end time as the one provided by the user. For each run of `materialize-incremental`, the end timestamp will be tracked. 
+Unlike `materialize`, `materialize-incremental` automatically determines the start time from which to load features from batch sources of each feature view. The first time `materialize-incremental` is executed it will set the start time to the oldest timestamp of each data source, and the end time as the one provided by the user. For each run of `materialize-incremental`, the end timestamp will be tracked.
 
 Subsequent runs of `materialize-incremental` will then set the start time to the end time of the previous run, thus only loading new data that has arrived into the online store. Note that the end time that is tracked for each run is at the feature view level, not globally for all feature feature views, i.e, different feature views may have different periods that have been materialized into the online store.
 
diff --git a/docs/how-to-guides/read-features-from-the-online-store.md b/docs/how-to-guides/read-features-from-the-online-store.md
index 0eccfe9be23..832f547a6fb 100644
--- a/docs/how-to-guides/read-features-from-the-online-store.md
+++ b/docs/how-to-guides/read-features-from-the-online-store.md
@@ -6,15 +6,15 @@ The Feast Python SDK allows users to retrieve feature values from an online stor
 Online stores only maintain the current state of features, i.e latest feature values. No historical data is stored or served.
 {% endhint %}
 
-### Retrieving online features
+## Retrieving online features
 
-#### 1. Ensure that feature values have been loaded into the online store
+### 1. Ensure that feature values have been loaded into the online store
 
 Please ensure that you have materialized \(loaded\) your feature values into the online store before starting
 
 {% page-ref page="load-data-into-the-online-store.md" %}
 
-#### 2. Define feature references
+### 2. Define feature references
 
 Create a list of features that you would like to retrieve. This list typically comes from the model training step and should accompany the model binary.
 
@@ -25,7 +25,7 @@ feature_refs = [
 ]
 ```
 
-#### 3. Read online features
+### 3. Read online features
 
 Next we will create a feature store object and call `get_online_features()` which reads the relevant feature values directly from the online store.
 
diff --git a/docs/quickstart.md b/docs/quickstart.md
index f6c6a7d2e81..bb23eaf8b06 100644
--- a/docs/quickstart.md
+++ b/docs/quickstart.md
@@ -165,7 +165,7 @@ entity_df.head()
 ```
 {% endcode %}
 
-![](.gitbook/assets/feast-landing-page-blog-post-page-5%20%281%29%20%281%29%20%281%29%20%282%29.png)
+![](.gitbook/assets/feast-landing-page-blog-post-page-5%20%281%29%20%281%29%20%281%29%20%282%29%20%282%29%20%282%29.png)
 
 This DataFrame represents the entity keys and timestamps that we want feature values for. We can pass this Entity DataFrame into Feast, and Feast will fetch point-in-time correct features for each row:
 

From cf7dd2e36522977388f4957fdd6801c34bd9b7fd Mon Sep 17 00:00:00 2001
From: Willem Pienaar <6728866+woop@users.noreply.github.com>
Date: Wed, 21 Apr 2021 12:59:47 -0700
Subject: [PATCH 2/3] Fix bug in allowing empty repositories to be applied to a
 GCS registry (#1488)

* Fix no-op for GCS registry

Signed-off-by: Willem Pienaar <git@willem.co>

* Unify signature

Signed-off-by: Willem Pienaar <git@willem.co>
---
 sdk/python/feast/registry.py | 18 +++++++++++-------
 1 file changed, 11 insertions(+), 7 deletions(-)

diff --git a/sdk/python/feast/registry.py b/sdk/python/feast/registry.py
index 473de1b49cc..8832ea9f948 100644
--- a/sdk/python/feast/registry.py
+++ b/sdk/python/feast/registry.py
@@ -20,8 +20,6 @@
 from typing import Callable, List, Optional
 from urllib.parse import urlparse
 
-from google.auth.exceptions import DefaultCredentialsError
-
 from feast.entity import Entity
 from feast.errors import (
     EntityNotFoundException,
@@ -71,7 +69,7 @@ def __init__(self, registry_path: str, repo_path: Path, cache_ttl: timedelta):
 
     def _initialize_registry(self):
         """Explicitly forces the initialization of a registry"""
-        self._registry_store.update_registry_proto()
+        self._registry_store.update_registry_proto(updater=None)
 
     def apply_entity(self, entity: Entity, project: str):
         """
@@ -377,7 +375,9 @@ def get_registry_proto(self):
         pass
 
     @abstractmethod
-    def update_registry_proto(self, updater: Callable[[RegistryProto], RegistryProto]):
+    def update_registry_proto(
+        self, updater: Optional[Callable[[RegistryProto], RegistryProto]] = None
+    ):
         """
         Updates the registry using the function passed in. If the registry proto has not been created yet
         this method will create it. This method writes to the registry path.
@@ -406,7 +406,7 @@ def get_registry_proto(self):
         )
 
     def update_registry_proto(
-        self, updater: Callable[[RegistryProto], RegistryProto] = None
+        self, updater: Optional[Callable[[RegistryProto], RegistryProto]] = None
     ):
         try:
             registry_proto = self.get_registry_proto()
@@ -431,6 +431,7 @@ def _write_registry(self, registry_proto: RegistryProto):
 class GCSRegistryStore(RegistryStore):
     def __init__(self, uri: str):
         try:
+            from google.auth.exceptions import DefaultCredentialsError
             from google.cloud import storage
         except ImportError:
             # TODO: Ensure versioning depends on requirements.txt/setup.py and isn't hardcoded
@@ -470,13 +471,16 @@ def get_registry_proto(self):
             f'Registry not found at path "{self._uri.geturl()}". Have you run "feast apply"?'
         )
 
-    def update_registry_proto(self, updater: Callable[[RegistryProto], RegistryProto]):
+    def update_registry_proto(
+        self, updater: Optional[Callable[[RegistryProto], RegistryProto]] = None
+    ):
         try:
             registry_proto = self.get_registry_proto()
         except FileNotFoundError:
             registry_proto = RegistryProto()
             registry_proto.registry_schema_version = REGISTRY_SCHEMA_VERSION
-        registry_proto = updater(registry_proto)
+        if updater:
+            registry_proto = updater(registry_proto)
         self._write_registry(registry_proto)
         return
 

From bdf746c4ac78fe3dbe3a79a7b526938220f453cd Mon Sep 17 00:00:00 2001
From: Willem Pienaar <git@willem.co>
Date: Wed, 21 Apr 2021 13:05:56 -0700
Subject: [PATCH 3/3] Release 0.10.2

Signed-off-by: Willem Pienaar <git@willem.co>
---
 CHANGELOG.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 699f469dbf8..16fe27782e6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,14 @@
 # Changelog
 
+
+## [v0.10.2](https://github.com/feast-dev/feast/tree/v0.10.2) (2021-04-21)
+
+[Full Changelog](https://github.com/feast-dev/feast/compare/v0.10.1...v0.10.2)
+
+**Fixed bugs:**
+
+- Fix bug in allowing empty repositories to be applied to a GCS registry [\#1488](https://github.com/feast-dev/feast/pull/1488) ([woop](https://github.com/woop))
+
 ## [v0.10.1](https://github.com/feast-dev/feast/tree/0.10.1) (2021-04-21)
 
 [Full Changelog](https://github.com/feast-dev/feast/compare/v0.9.5.1...0.10.1)