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Apache Kafka producers are not fault tolerant (labs.immobiliare.it)

Stories related to "Apache Kafka producers are not fault tolerant" across the full archive.

Apache Kafka producers are not fault tolerant (labs.immobiliare.it)
Apache Kafka vs. Amazon Kinesis for High Performance Distributed Systems (keen.io)
Exactly-once Semantics is Possible: Here's How Apache Kafka Does it (confluent.io)
Introducing KSQL: Open Source Streaming SQL for Apache Kafka (confluent.io)
Introduction to Apache Kafka by James Ward (youtube.com)
Why Nutanix Beam went ahead with Apache Pulsar instead of Apache Kafka? (medium.com)
KIP-932: Queues for Kafka - Apache Kafka - Apache Software Foundation (cwiki.apache.org)
Tansu is an Apache Kafka API compatible broker with a Postgres storage engine (github.com)
Pinterest Tiered Storage for Apache Kafka®️: A Broker-Decoupled Approach (medium.com)
Why Was Apache Kafka Created? (bigdatastream.substack.com)
Apache Kafka creators Confluent explore company sale (reuters.com)
F1 - The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business (research.google.com)
Apache Spark: The Next Big Data Thing? (blog.mikiobraun.de)
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (cs.berkeley.edu)
Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing (eecs.berkeley.edu)
The “Four Hamiltons” Framework for Mitigating Faults in the Cloud (highscalability.com)
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (cs.berkeley.edu)
Shuffle Sharding: massive and magical fault isolation (awsarchitectureblog.com)
streamparse: Python and Apache Storm made easy (github.com)
I discussed how I was working on this on a couple of "What are you working on?" threads on Lobste.rs. We have an initial release and we're actively developing it in the open now. Already making quite a lot of good progress.
Integrating Kafka and Storm: Code Examples and State of the Game (michael-noll.com)
Apache Storm: The Big Reference (blog.parsely.com)
History of Apache Storm and lessons learned (nathanmarz.com)
Building Fault Tolerant Teams at Basho (youtube.com)
Onyx: Distributed, fault tolerant data processing for Clojure (github.com)
Operating Apache Samza at Scale (engineering.linkedin.com)
Apache Kafka Go Client (github.com)
SwiftCloud: Fault-tolerant geo-replication integrated all the way to the client (blog.acolyer.org)
Microservice principles and Immutability – demonstrated with Apache Spark and Cassandra (developerblog.redhat.com)
Simple materialized views in kafka and clojure (spootnik.org)
Fault Tolerance 101 (infoq.com)
Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.