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
Mizu
   is a API traffic viewer for Kubernetes enabling you to view all API communication between microservices. Think TCPDump and Wireshark re-invented for Kubernetes 
#k8s #kubernetes #rest #tcpdump #wireshark #kafka #redisBuilding Self-driving Kafka clusters using open source components
https://slack.engineering/building-self-driving-kafka-clusters-using-open-source-components/
#kafka #chef #terraform
  https://slack.engineering/building-self-driving-kafka-clusters-using-open-source-components/
#kafka #chef #terraform
Akvorado:
flow
https://github.com/vincentbernat/akvorado
#snmp #ipfx #network #tool #clickhouse #kafka
  flow
 collector, hydrater and visualizer.https://github.com/vincentbernat/akvorado
#snmp #ipfx #network #tool #clickhouse #kafka
Redpanda vs Apache Kafka: A performance comparison (2022 update)
https://redpanda.com/blog/redpanda-vs-kafka-performance-benchmark
#kafka #redpanda #mq
  https://redpanda.com/blog/redpanda-vs-kafka-performance-benchmark
#kafka #redpanda #mq
Super High-performance NoSQL and MQ
https://blog.bytebytego.com/p/ep31-super-high-performance-nosql
#nosql #mq #scylladb #redpanda #kafka #cassandra
  https://blog.bytebytego.com/p/ep31-super-high-performance-nosql
#nosql #mq #scylladb #redpanda #kafka #cassandra
Building a real-time search application with Redpanda and ZincSearch
https://redpanda.com/blog/real-time-data-search-redpanda-zincsearch
#redpanda #kafka #elasticsearch #zincsearch
  https://redpanda.com/blog/real-time-data-search-redpanda-zincsearch
#redpanda #kafka #elasticsearch #zincsearch
Altinity Replicator for ClickHouse
https://github.com/Altinity/clickhouse-sink-connector
#clickhouse #postgresql #mongodb #mysql #kafka #redpanda
  https://github.com/Altinity/clickhouse-sink-connector
#clickhouse #postgresql #mongodb #mysql #kafka #redpanda
Kafka vs Redpanda Perfomance
https://jack-vanlightly.com/blog/2023/5/15/kafka-vs-redpanda-performance-do-the-claims-add-up
#kafka #redpanda #benchmark #mq
  https://jack-vanlightly.com/blog/2023/5/15/kafka-vs-redpanda-performance-do-the-claims-add-up
#kafka #redpanda #benchmark #mq
Quine β’ a streaming graph
https://github.com/thatdot/quine
#kafka #scylladb #cassandra
  Quine is a streaming graph interpreter; a server-side program that consumes data, builds it into a stateful graph structure, and runs live computation on that graph to answer questions or compute results. Those results stream out in real-time. 
https://github.com/thatdot/quine
#kafka #scylladb #cassandra
How We Scaled to 100 Million Active Users Using Kafka and Golang β Eventual Consistency
https://medium.com/@mhrlife/how-we-scaled-to-100-million-active-users-using-kafka-and-golang-eventual-consistency-6241cfeba7e8
#kafka #go #mq
  https://medium.com/@mhrlife/how-we-scaled-to-100-million-active-users-using-kafka-and-golang-eventual-consistency-6241cfeba7e8
#kafka #go #mq
How to Choose a Message Queue? Kafka vs. RabbitMQ
https://blog.bytebytego.com/p/how-to-choose-a-message-queue-kafka
#kafka #rabbitmq
  https://blog.bytebytego.com/p/how-to-choose-a-message-queue-kafka
#kafka #rabbitmq
Proton
https://github.com/timeplus-io/proton
#clickhouse #sql #kafka
  a unified streaming and historical data processing engine in a single binary, powered by ClickHousehttps://github.com/timeplus-io/proton
#clickhouse #sql #kafka
Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn
https://engineering.linkedin.com/blog/2023/revolutionizing-real-time-streaming-processing--4-trillion-event
#kafka
  https://engineering.linkedin.com/blog/2023/revolutionizing-real-time-streaming-processing--4-trillion-event
#kafka
An overview of Cloudflare's logging pipeline
https://blog.cloudflare.com/an-overview-of-cloudflares-logging-pipeline
#cloudflare #logs #elk #clickhouse #kafka
  https://blog.cloudflare.com/an-overview-of-cloudflares-logging-pipeline
#cloudflare #logs #elk #clickhouse #kafka
