Kafka Consulting Learn how to employ best practices for your teams’ Kafka deployments. Cloudurable has a range of consulting services and training to help you get the most out of Kafka from architecture to help with setting up health checks. If you are new to Apache Kafka, Cloudurable has mentoring, consulting, and training to help you get the most of the Kafka streaming data platform. Our professional services teams can support your team designing a real-time streaming platform using Kafka.
Kinesis vs. Kafka Kinesis works with streaming data. Stock prices Game data (scores from game) Social network data Geospatial data like Uber data where you are IOT sensors Kafka works with streaming data too. Kinesis Streams is like Kafka Core. Kinesis Analytics is like Kafka Streams. A Kinesis Shard is like Kafka Partition. They are similar and get used in similar use cases. Data is stored in Kinesis for default 24 hours, and you can increase that up to 7 days.
Running a Kafka Broker Starting brokers in Kafka is pretty straightforward, here are some simple quick start instructions. But as developers, we want to do at least a little more than just the basics. For instance my first needs were to start multiple brokers on the same machine, and also to enable JMX. Out of the box, you can simply rely on the supplied server.properties Each broker needs a unique id and needs a unique port.
Kafka Tutorial Kafka Tutorial for the Kafka streaming platform. Covers Kafka Architecture with some small examples from the command line. Then we expand on this with a multi-server example. Lastly, we added some simple Java client examples for a Kafka Producer and a Kafka Consumer. We have started to expand on the Java examples to correlate with the design discussion of Kafka. We have also expanded on the Kafka design section and added references.
Microservices Architecture | High-Speed Microservices This article endeavors to explain high-speed microservices architecture. If you are unfamiliar with the term microservices, you may want to first read this blog post on microservices by Michael Brunton and if have more time on your hands this one by James Lewis and Martin Fowler. High-speed microservices is a philosophy and set of patterns for building services that can readily back mobile and web applications at scale.
Microservices The term “Microservices Architecture” is now a popular trend. Unlike many trends, this one seems to have some momentum and is more about how people are developing services versus vendors commandeering and needlessly complicating something simple. For example, SOA started off as a rather simple set of concepts and became something vast and complex. Services are excellent. Web Services are good. SOA has a bad reputation and is associated with being overly complicated (WSDL, BPEL, WS-blah, etc.
Learning about the Kafka Streaming Platform Brief introduction to Kafka Streaming Platform from Jean-Paul Azar Slideshare Kafka Architecture. PDF: Introduction to Kafka Architecture. Related content Kafka Architecture What is Kafka? Kafka and Schema Registry Kafka and Avro Kafka Tutorial Kafka Training Training for DevOps, Architects and Developers This Kafka training course teaches the basics of the Apache Kafka distributed streaming platform. The Apache Kafka distributed streaming platform is one of the most powerful and widely used reliable streaming platforms.
Learning about the Kafka Streaming Platform with simple Java examples This picks up where the last blog post left off. We added a multi-server version of the Kafka setup. Then we wrote some simple sample Java Kafka producer and a Java Kafka consumer. Kafka Intro With Simple Java Producer Consumers from Jean-Paul Azar Slideshare Kafka Architecture. PDF: Introduction to Kafka Architecture. Simple Java Kafka example package com.
Reactive Microservices Architecture Many disciplines of software development came to the same conclusion. They are building systems that react to modern demands on services. Reactive services live up to the Reactive Manifesto. Reactive microservices are built to be robust, resilient, flexible and written with modern hardware, virtualization, rich web clients and mobile clients in mind. By the original definition of microservices, all microservices are reactive. A microservices that is not reactive is akin a bird without wings or a fish who can’t swim.
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