- #KAFKA EXPORTER REGISTRATION#
- #KAFKA EXPORTER SERIES#
The MirrorSourceConnector replicates records from source to target clusters and enables offset synchronization. The main MirrorMaker components are actually Kafka connectors as follows. It uses the Kafka Connect framework to simplify configuration and scaling. Kafka MirrorMaker - MirrorMaker is designed to make it easier to mirror or replicate topics from one Kafka cluster to another. Kafka Exporter - Kafka Exporter extracts data for analysis as Prometheus metrics, primarily data relating to offsets, consumer groups, consumer lag and topics. A sink connector extracts data out of Kafka. A source connector pushes external data into Kafka. It is thus very easy to integrate existing systems with Kafka. Kafka Connect - Kafka Connect allows you to continuously ingest data from external systems into Kafka, and vice versa. #KAFKA EXPORTER REGISTRATION#
Store Access Control Lists, if security is enabledĥ- Store the Kafka cluster id (randomly generated while broker registration at first time) Performs leader election in case any broker is downĤ. The list of In-sync replicas for Partitionsģ.Topic configuration (Partitions, Replication factor, additional configs etc.).Brokers registration, with heartbeat mechanism to keep the broker list updated.Zookeeper - Zookeeper is essentially a service for distributed systems offering a hierarchical key-value store, which is used to provide a distributed configuration service, synchronization service, and naming registry for large distributed systems. Let’s first understand the Kafka components and how do they interact with each other-Ī brief introduction about the components.
#KAFKA EXPORTER SERIES#
Kafka on Kubernetes: Using Strimzi - Part 6 : This is the final part of the series and it discusses the very important Kafka monitoring part.Kafka on Kubernetes: Using Strimzi - Part 5 : In this part we discuss the Kafka cluster security aspects and how can we add ACLs to resources.
Kafka on Kubernetes: Using Strimzi - Part 4 : This article talks about Kafka scalability and how do we auto scale using KEDA (Kubernetes -based event driven autoscaler). Kafka on Kubernetes: Using Strimzi - Part 3 : In this article we discuss about configuring the production ready Kafka cluster along with discussing the Kafka high Availability. Kafka on Kubernetes: Using Strimzi - Part 2 : This blog discusses the setup and deployment options for Kafka Custom resource. Kafka on Kubernetes: Using Strimzi - Part 1: This talks about what operators Strimzi provides to deploy and manage Kafka cluster on Kubernetes. 
In this series we shall discuss the following topics. This is the first part of the blog series, Kafka on Kubernetes: Using Strimzi.
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