Apache Kafka is one of the most useful OSS for the message hub in micro services and can easily connect various data sources. This feature can be appliâ¦
Apache Kafka is one of the most useful OSS for the message hub in micro services and can easily connect various data sources. This feature can be appliâ¦
In the last Jepsen post, we learned about NuoDB. Now itâs time to switch gears and discuss Kafka. Up next: Cassandra. Kafka is a messaging system which provides an immutable, linearizable, sharded log of messages. Throughput and storage capacity scale linearly with nodes, and thanks to some impressive engineering tricks, Kafka can push astonishingly high volume through each node; often saturating
About I am the co-founder of Confluent and also the co-creator of Apache Kafka as well as various other open source projects. Kyle has a good write-up on replication and partitions in Kafka. I am a big fan of this methodology (empiricism FTW), though it is a bit uncomfortable to watch ones own project strapped to the apparatus. Kyleâs explanation is pretty clear, so I have only a few things to add
Kafka on Kubernetes in a few minutes Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. Use the Quick Starts to get started now! Secure by Default Built-in security TLS, SCRAM-SHA, and OAuth authentication Automated Certificate Management Simple yet Configurable NodePort, Load balancer and Ingress options Rack awareness for HA Use dedicated no
Decaton is a streaming task processing framework built on top of Apache Kafka. It is designed to enable "concurrent processing of records consumed from one partition" which isn't possible in many Kafka consumer frameworks. Here is the list of property that Decaton enables by default: Concurrent (either multi-threaded or asynchronous) processing of records consumed from one partition Preserve order
Everyone wants their infrastructure to be highly available, and ksqlDB is no different. But crucial properties like high availability donât come without a thoughtful, rigorous design. We thought hard about how to achieve this while maintaining at-least-once and exactly-once processing guarantees. To learn how we did it, itâs time to peel back the layers below ksqlDB and get your hands dirty with t
In any Enterprise or Cloud application, Task scheduling is a key requirement. A highly available and fault tolerant task scheduling will help you to improve your business goals. A classic task scheduling infrastructure is typically backed by databases. The instances/service that performs the scheduling, loads the task definitions from the database into memory and performs the task scheduling. This
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Kafka is a messaging system. Thatâs it. So why all the hype? In reality messaging is a hugely important piece of infrastructure for moving data between systems. To see why, letâs look at a data pipeline without a messaging system. This system starts with Hadoop for storage and data processing. Hadoop isnât very useful without data so the first stage in using Hadoop is getting data in. Bringing Dat
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