# Table of contents of Feldera Blog posts

## Applications

* How Feldera Customers Slash Cloud Spend (10x and beyond)
  https://www.feldera.com/blog/how-feldera-customers-slash-cloud-spend

* Batch Analytics at Warp Speed: A User Guide
  https://www.feldera.com/blog/warpspeed

* From Traces to Insights: How to Analyze OpenTelemetry Data in Real-Time with SQL
  https://www.feldera.com/blog/opentelemetry

* Solving Fine-Grained Authorization by Turning the Problem on its Head
  https://www.feldera.com/blog/fine-grained-authorization

* Where was Waldo (when his card was swiped)?
  https://www.feldera.com/blog/asof-join

* Real-time fraud detection using Feldera and Hopsworks
  https://www.feldera.com/blog/hopsworks

* Real-time feature engineering with Feldera. Part 2.
  https://www.feldera.com/blog/feature-engineering-part2

* Real-time feature engineering is hard (but it doesn't need to be). Part 1.
  https://www.feldera.com/blog/feature-engineering-part1

* Who's accessing your S3 buckets? SecOps solution using CloudTrail, EventBridge and Feldera
  https://www.feldera.com/blog/eventbridge-and-feldera

* How to Continuously Analyze Streaming Data from Redpanda
  https://www.feldera.com/blog/continuously-analyzing-redpanda-data

## Platform capabilities

* Can your incremental compute engine do this?
  https://www.feldera.com/blog/can-your-incremental-compute-engine-do-this

* Introducing Feldera Health
  https://www.feldera.com/blog/introducing-feldera-health

* The Babel tower of SQL dialects
  https://www.feldera.com/blog/the-babel-tower-of-sql-dialects

* Toward Real-Time Medallion Architecture
  https://www.feldera.com/blog/medallion-architecture

* Universal IVM: Incremental View Maintenance for the Modern Data Stack
  https://www.feldera.com/blog/universal-ivm

* Feldera: three tools for the price of one
  https://www.feldera.com/blog/feldera-three-tools-for-the-price-of-one

* Leverage Object Stores in Feldera Pipelines (S3, Azure Blob, GCS)
  https://www.feldera.com/blog/leverage-object-stores-in-feldera-pipelines

* Announcing S3-backed Pipelines
  https://www.feldera.com/blog/s3-backed-pipelines

* Implementing Batch Processes with Feldera
  https://www.feldera.com/blog/batch-processes

* Fault tolerance technical details
  https://www.feldera.com/blog/fault-tolerance-technical-details

* Fault tolerance now in preview!
  https://www.feldera.com/blog/fault-tolerance-preview

* Recursive SQL queries in Feldera
  https://www.feldera.com/blog/recursive-sql-queries-in-feldera

* Inspecting Feldera pipelines
  https://www.feldera.com/blog/inspecting-feldera-pipelines

* Feature Wars: SQL vs DSL for Feature Engineering
  https://www.feldera.com/blog/feature-wars

* How to Analyze Unbounded Time-Series Data using Bounded State
  https://www.feldera.com/blog/time-series

* Feldera performance on Nexmark versus Flink
  https://www.feldera.com/blog/nexmark-vs-flink

* Meet the Feldera storage engine
  https://www.feldera.com/blog/feldera-storage

* Rolling Aggregates: the Most Important Feature in Your Real-Time Fraud Detection Pipeline
  https://www.feldera.com/blog/rolling-aggregates

* Your Streaming Analytics Use Case Needs More State Than You Think
  https://www.feldera.com/blog/streaming-needs-storage

* Let's make streaming analytics boring
  https://www.feldera.com/blog/lets-make-streaming-boring

* What do we mean when we say real-time SQL?
  https://www.feldera.com/blog/real-time-sql

* Incremental Computation, a bad case of déjà vu
  https://www.feldera.com/blog/incremental-computation-deja-vu

* Feldera input and output connectors
  https://www.feldera.com/blog/communicating-with-dbsp

## Principles, Implementation, and engineering

* Why incremental aggregates are difficult -- part 1
  https://www.feldera.com/blog/why-incremental-aggregates-are-difficult---part-1

* Nobody ever got fired for using a struct
  https://www.feldera.com/blog/nobody-ever-got-fired-for-using-a-struct

* Introducing Feldera's Visual Profiler
  https://www.feldera.com/blog/introducing-feldera's-visual-profiler

* Constant folding in Calcite
  https://www.feldera.com/blog/constant-folding-in-calcite

* The Dirty Secret of Incremental View Maintenance: You Still Need Batch
  https://www.feldera.com/blog/backfill-explained

* Stream integration
  https://www.feldera.com/blog/stream-integration

* Cutting Down Rust Compile Times From 30 to 2 Minutes With One Thousand Crates
  https://www.feldera.com/blog/cutting-down-rust-compile-times-from-30-to-2-minutes-with-one-thousand-crates

* The Pain That Is Github Actions
  https://www.feldera.com/blog/the-pain-that-is-github-actions

* Correctness at Feldera
  https://www.feldera.com/blog/correctness-at-feldera

* LATENESS in streaming programs
  https://www.feldera.com/blog/lateness-in-streaming-programs

* Analyzing query performance in Feldera
  https://www.feldera.com/blog/q12

* RocksDB: Not A Good Choice for a High-Performance Streaming Platform
  https://www.feldera.com/blog/rocksdb-not-a-good-choice-for-high-performance-streaming

* Optimizing Kafka input performance
  https://www.feldera.com/blog/optimizing-kafka-input-performance

* Streaming queries without compromise
  https://www.feldera.com/blog/streaming-queries-without-compromise

* A synchronous streaming model
  https://www.feldera.com/blog/synchronous-streaming

* Incremental Database Computations
  https://www.feldera.com/blog/incremental-database-computations

* Indexed Z-sets
  https://www.feldera.com/blog/Indexed-Zsets

* Database computations on Z-sets
  https://www.feldera.com/blog/database-computations-on-z-sets

* Calcite program representations
  https://www.feldera.com/blog/calcite-irs

* Desperately Seeking Kafka
  https://www.feldera.com/blog/seeking-in-kafka

* Implementing Z-sets
  https://www.feldera.com/blog/implementing-z-sets

* Z-sets - Representing Database Changes
  https://www.feldera.com/blog/z-sets-representing-database-changes

* Computing with changes
  https://www.feldera.com/blog/Changes
