Saga Orchestration for Microservices Using the Outbox Pattern
https://www.infoq.com/articles/saga-orchestration-outbox/
#debezium #ai #ml #kafka #microservices
https://www.infoq.com/articles/saga-orchestration-outbox/
#debezium #ai #ml #kafka #microservices
InfoQ
Saga Orchestration for Microservices Using the Outbox Pattern
The outbox pattern, implemented via change data capture, is a proven approach for addressing the concern of data exchange between microservices. The saga pattern, as demonstrated in this article, is useful for data updates that span multiple microservices.
Declarative stream processing for mundane tasks and data engineering
https://github.com/Jeffail/benthos
#go #kafka #rabbitmq #amqp #logs #nats #datastreaming
https://github.com/Jeffail/benthos
#go #kafka #rabbitmq #amqp #logs #nats #datastreaming
GitHub
GitHub - benthosdev/benthos: Fancy stream processing made operationally mundane
Fancy stream processing made operationally mundane - benthosdev/benthos
Scylla University: New Spark and Kafka Lessons
https://www.scylladb.com/2021/10/21/scylla-university-new-spark-and-kafka-lessons/
#scylla #kafka #spark
https://www.scylladb.com/2021/10/21/scylla-university-new-spark-and-kafka-lessons/
#scylla #kafka #spark
ScyllaDB
ScyllaDB University: New Spark and Kafka Lessons - ScyllaDB
Two new ScyllaDB University lessons on connecting your ScyllaDB NoSQL database to Apache Spark analytics and Apache Kafka event streaming.
Scaling Kafka at Honeycomb
https://www.honeycomb.io/blog/scaling-kafka-observability-pipelines
#kafka #observability #monitoring
https://www.honeycomb.io/blog/scaling-kafka-observability-pipelines
#kafka #observability #monitoring