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 blog.scottlogic.com
Using Kafka and Grafana to monitor meteorological conditions
| | debezium.io
Reliable Microservices Data Exchange With the Outbox Pattern
4.7 parsecs away

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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.
| | quix.io
A very detailed comparison of Python stream processing libraries
5.4 parsecs away

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| | Dive deep into the performance and limitations of Python client libraries to choose the best stream processing solution for your data.
| | jensrantil.github.io
Apache Kafka in 15 minutes · Jens Rantil
4.1 parsecs away

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| | High-level Apache Kafka architecture.
| | archive.qconsf.com
QCon San Francisco 2021 November 1-5, 2021 | | Practical Change Data Streaming Use Cases With Apache Kafka & Debezium
31.1 parsecs away

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| Debezium (noun | de·be·zi·um | /d?:?b?:zi?m/) - Secret Sauce for Change Data Capture Apache Kafka is a highly popular option for asynchronous event propagation between microservices. Things get challenging though when adding a services database to the picture: How can you avoid inconsistencies between Kafka and the database? Enter change data capture (CDC) and Debezium. By