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 jeff.klukas.net
A Change Data Capture Pipeline From PostgreSQL to Kafka - Jeff Klukas
| | www.confluent.io
Bottled Water: Real-time integration of PostgreSQL and Kafka | Confluent
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| | Summary: Confluent is starting to explore the integration of databases with event streams. As part of the first step in this exploration, Martin Kleppmann has made a new open source [...]
| | www.morling.dev
Backfilling Postgres TOAST Columns in Debezium Data Change Events - Gunnar Morling
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| | Postgres logical replication, while powerful for capturing real-time data changes, presents challenges with TOAST columns, whose values can be absent from data change events in specific situations. This post discusses how Debezium addresses this through its built-in reselect post processor, then explores more robust solutions leveraging Apache Flink's capabilities for stateful stream processing, including Flink SQL and the brand-new process table functions (PTFs) in Flink 2.1.
| | debezium.io
Lessons Learned from Running Debezium with PostgreSQL on Amazon RDS
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| | Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.
| | shuheikagawa.com
4 years at Zalando
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| A personal website of Shuhei Kagawa. I write mostly on web technologies and life.