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dzone.com /1 week ago

Dead Letter Queue Patterns in Apache Flink: Handling Poison Messages Without Stopping Your Stream

Streaming systems usually fail in one of two ways: Loudly, when infrastructure breaks Quietly, when one bad record keeps replaying until the pipeline is effectively dead T...

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dev.to /1 month ago

PostgreSQL change data capture governed Apache Iceberg / Parquet on AWS S3 вЂ” built for AI agents.

Core Features pg-cdc is not just replication. pg-cdc streams Postgres Write Ahead Logs(WAL) out of production Postgres into typed, immutable, time-travelable Iceberg tables on S3...

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aws.amazon.com /1 month ago

How Smartsheet built Real-time Dynamic Filtering on Apache Flink reducing $40K/month in messaging costs

In this post, you learn how Smartsheet built a Real-time Dynamic Filtering (RDF) system on Amazon Managed Service for Apache Flink, cutting messaging costs by over $40,000 per mont...

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dataengineeringcentral.substack.com /1 month ago

Databricks Zerobus - Event Streams + Lake House (be gone Kafka)

it's always something you know

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aws.amazon.com /1 month ago

Real-time CDC from Aurora PostgreSQL to Amazon S3 Tables using Debezium and Firehose

In this post, we show you how to build a CDC pipeline that delivers query-ready Iceberg tables directly. The pipeline captures inserts, updates, and deletes from Aurora PostgreSQL...

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aws.amazon.com /1 month ago

How Buildkite Operates Test Analytics at Massive Scale with Amazon MSK and Amazon Managed Service for Apache Flink

In this post, we explore how Buildkite uses Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink to power Test Engine’s streaming-firs...

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javacodegeeks.com /3 weeks ago

Event Sourcing vs Change Data Capture (CDC): Choosing the Right Pattern

Both patterns produce a stream of state changes — yet they sit at entirely different layers of your stack, solve different problems, and carry very different costs. Here is how to...

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databricks.com /1 month ago

Announcing Lakebase Change Data Feed (CDF)

Moving data from your operational database has traditionally meant setting up and...

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habr.com /3 weeks ago

Как мы ушли от ETL к CDC: выбираем архитектуру real-time аналитики на PostgreSQL, Kafka и ClickHouse. Часть 1

Все началось с просьбы сделать отчеты в реальном времени. На первый взгляд задача выглядела простой, но довольно быстро выяснилось, что существующая архитектура для этого не подход...

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javacodegeeks.com /2 days ago

Building Idempotent Java Consumers for Replay-Safe Kafka Pipelines

Fast Kafka consumers are not automatically safe Kafka consumers. A Java service can keep up with partitions, restart cleanly, and still leave the business in a state that is hard t...

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aws.amazon.com /1 month ago

Implementing real-time change data capture with Debezium for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

In this post, we demonstrate how to implement a production-ready CDC solution by using Amazon Aurora for PostgreSQL, Debezium connectors, and Amazon Managed Streaming for Apache Ka...

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infoq.com /1 month ago

Article: The Schema Proliferation Problem in Kafka and Flink Pipelines: How to Solve It

Schema proliferation builds slowly and gets expensive fast. One schema per event type feels right until there are ten tables, union queries spanning all of them, and a single field...

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dataengineeringcentral.substack.com /3 weeks ago

Apache Datafusion Comet (Spark Accelerator)

any better than last time?

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dev.to /1 month ago

klag just got a bunch better — here’s what’s new.

Over half year ago IвЂ™ve open sourced klag, a lightweight Kafka consumer lag exporter. IвЂ™ve been working in data streaming systems and data infrastructure for over a decade and...

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habr.com /2 weeks ago

OceanBase как БД для Zabbix + онлайн-миграция с PostgreSQL через Flink CDC. Экономия места в 15–18 раз

Перевёл Zabbix с PostgreSQL на OceanBase онлайн, без простоя и потери метрик. Flink CDC лил данные из PostgreSQL в реальном времени, пока я переключал хосты по одному. Таблицы с ис...

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dzone.com /1 month ago

Combining Temporal and Kafka for Resilient Distributed Systems

Kafka and Temporal address different failure boundaries, and resilient distributed systems often need both rather than one as a substitute for the other. Kafka is built to move ord...

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dataengineeringcentral.substack.com /1 month ago

Delta Lake + DuckDB. Catalog Commits with Unity Catalog. Unlocking Concurrent Ingestion.

why isn't anyone talking about this?

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dzone.com /1 week ago

Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks

Why Delta Lake? Apache Parquet on cloud storage was a great first step for data lakes — but it left engineers dealing with a painful set of problems in production: No ACID transa...

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dzone.com /1 month ago

Kafka and Spark Structured Streaming in Enterprise: The Patterns That Hold Up Under Pressure

I've been running Kafka and Spark Structured Streaming together in production for about five years. Not in demo environments or proof-of-concept projects. In systems processing ins...

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