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Making Apache Kafka Elastic with Apache Mesos
This document discusses Kafka on Mesos, which allows Kafka to elastically scale on the Mesos cluster. It provides a quick introduction to Mesos and Kafka. The Kafka on Mesos project aims to make Kafka elastic by allowing smart broker assignment and configuration changes, rolling restarts, and scaling the cluster up and down both automatically and manually. It includes a scheduler and executor that manage the Kafka brokers. The CLI and REST API allow adding, updating, removing, starting, and stopping brokers as well as rebalancing topics. An example demonstrates launching 20 brokers in seconds on Mesos. Finally, it notes that Kafka is available on DCOS for deployment and management on Mesosphere DC/OS.
Making Apache Kafka Elastic with Apache Mesos
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- 2. Joe Stein CEO ofElodina, Inc. Elodina http://www.elodina.net/ is a startup focusing on the support & maintenance of third party open source software (like Mesos frameworks) as well as its own open source products & SaaS solutions. Joe Stein is also the Founder and Principal Consultant of Big Data Open Source Security http://stealth.ly and has been working for the last couple of years on implementing and assisting organizations with their Kafka, Mesos, Hadoop, Cassandra, Accumulo, Storm, Spark, etc, Big Data systems. Prior to this, Joe Stein was responsible for building out a platform that ingested and processed the analytics for 6 billion unique mobile devices.
- 3. ◉ Quick introto Mesos ◉ Quick intro to Kafka ◉ Making Kafka elastic with Mesos Overview
- 4. Quick intro toMesos
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- 10. Data Center OperatingSystem
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- 13. Quick intro toKafka
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- 15. Kafka decouples datapipelines
- 16. Making Kafka elasticwith Mesos
- 17. Goals we setout with ● smart broker.id assignment. ● preservation of broker placement (through constraints and/or new features). ● ability to-do configuration changes. ● rolling restarts (for things like configuration changes). ● scaling the cluster up and down with automatic, programmatic and manual options. ● smart partition assignment via constraints visa vi roles, resources and attributes.
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- 19. Scheduler ● Provides theoperational automation for a Kafka Cluster. ● Manages the changes to the broker's configuration. ● Exposes a REST API for the CLI to use or any other client. ● Runs on Marathon for high availability. Executor ● The executor interacts with the kafka broker as an intermediary to the scheduler Scheduler & Executor
- 20. CLI & RESTAPI ● scheduler - starts the scheduler. ● add - adds one more more brokers to the cluster. ● update - changes resources, constraints or broker properties one or more brokers. ● remove - take a broker out of the cluster. ● start - starts a broker up. ● stop - this can either a graceful shutdown or will force kill it (./kafka-mesos.sh help stop) ● rebalance - allows you to rebalance a cluster either by selecting the brokers or topics to rebalance. Manual assignment is still possible using the Apache Kafka project tools. Rebalance can also change the replication factor on a topic. ● help - ./kafka-mesos.sh help || ./kafka-mesos.sh help {command}
- 21. Launch 20 brokersin seconds ./kafka-mesos.sh add 1000..1019 --cpus 0.01 --heap 128 --mem 256 --options num.io.threads=1 ./kafka-mesos.sh start 1000..1019
- 22. Kafka is availableon DCOS https://mesosphere.com/product/ dcos install kafka dcos kafka help Mesosphere DCOS
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