kafka-manager
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| kafka-manager | |
|---|---|
| Name | kafka-manager |
| Developer | Yahoo! |
| Released | 2013 |
| Programming language | Scala (programming language) |
| Operating system | Linux, Windows, macOS |
| License | Apache License |
kafka-manager kafka-manager is an open-source cluster management tool for Apache Kafka designed to provide a web-based user interface and operational tooling for monitoring, configuring, and balancing Apache Kafka clusters. Originally developed at Yahoo! and later maintained by community contributors, the project aims to simplify routine tasks such as topic creation, partition reassignment, and broker inspection for operators working in production environments like those at LinkedIn, Netflix, and Twitter. The project interacts with related ecosystem projects including Zookeeper (software), Kafka Streams, and deployment platforms such as Kubernetes, Docker, and Amazon Web Services.
Overview
kafka-manager provides a centralized dashboard for visualizing cluster state, managing topics, and orchestrating partition movements across brokers. It integrates cluster metadata surfaced by Zookeeper (software), consumer group offsets produced by Apache Kafka, and operational telemetry often collected with tools like Prometheus and Grafana. Designed to complement command-line utilities such as kafka-topics.sh and kafka-consumer-groups.sh, kafka-manager has been used alongside configuration management systems like Ansible, Chef (software), and Puppet (software) in production pipelines. The project's lifecycle and contributions have intersected with governance models exemplified by Apache Software Foundation-hosted projects and community-driven repositories on GitHub.
Features
kafka-manager offers features for topic lifecycle management, partition reassignments, broker view, consumer group inspection, and cluster-wide configuration auditing. Operators can perform rolling broker restarts coordinated with orchestration platforms such as Mesos and Nomad (software), trigger partition replica balancing similar to utilities in Apache Kafka itself, and visualize under-replicated partitions and in-sync replicas (ISRs). The UI exposes topic-level configurations compatible with settings documented in Apache Kafka and allows inspection of consumer offsets used by ecosystems including Kafka Connect, Confluent Platform, and stream processing frameworks like Apache Flink and Apache Storm. Extended integrations and monitoring adapters have been built to emit metrics to Prometheus, Graphite, and InfluxDB.
Architecture and Components
The core of kafka-manager is written in Scala (programming language) and runs on the Java Virtual Machine to interact with Kafka broker metadata via Apache Zookeeper or direct cluster APIs. Key components include the web UI, a cluster management backend, a scheduler for long-running operations (such as partition rebalance), and connectors for metadata stores like Zookeeper (software). The scheduler coordinates with cluster orchestration tools such as Kubernetes and Docker Swarm when invoked from CI/CD pipelines managed by systems like Jenkins or GitLab CI/CD. For authentication and authorization, akka-http or Play Framework modules may be integrated alongside infrastructure identity providers such as LDAP and OAuth 2.0 implementations from vendors used by enterprises like Okta and Ping Identity.
Installation and Configuration
kafka-manager can be deployed as a standalone JVM application, containerized via Docker, or provisioned within orchestration platforms like Kubernetes. Typical installation steps mirror patterns used by Apache Cassandra and Elasticsearch deployments: obtain the binary or build from source using sbt (software), configure cluster connection strings for Zookeeper (software), and supply JVM options consistent with practices at Oracle Corporation or OpenJDK distributions. Configuration templates often reference environment-specific parameters managed by Consul or etcd, and secrets (such as keystores or LDAP credentials) are commonly injected using systems like HashiCorp Vault or Kubernetes Secrets. Operational teams frequently automate rollout using Ansible playbooks or Terraform for cloud infrastructure.
Usage and Administration
Administrators use kafka-manager to register clusters, create topics with specific partition and replication factors, and initiate partition reassignments to remedy broker failures or skewed load. The UI and API expose actions similar to command-line operations used by Apache Kafka operators and integrate with runbooks maintained in PagerDuty or incident systems like VictorOps. Routine tasks include monitoring under-replicated partitions, reassigning leaders to restore throughput, and checking consumer lag for consumer groups created by Kafka Connect or applications built on Spring (framework). Change management workflows typically incorporate version control systems like Git and CI tools such as Jenkins to validate configuration templates before applying them in production.
Security and Access Control
Secure deployments of kafka-manager rely on TLS/SSL for encrypting traffic between users, the kafka-manager UI, and Kafka brokers—following certificate management practices from Let's Encrypt or enterprise certificate authorities used by DigiCert. Authentication can be integrated with LDAP, Active Directory, or federated identity providers using OAuth 2.0 and SAML protocols often provided by vendors like Okta. Role-based access control patterns mirror controls available in Confluent Platform and involve mapping administrative roles to actions such as partition reassignment, topic deletion, and cluster registration. Network-level protections leverage virtual private clouds in Amazon Web Services or security groups and firewall policies common to Google Cloud Platform and Microsoft Azure.
Development and Maintenance
Development of kafka-manager historically occurred on GitHub with contributions from engineers at Yahoo! and community members across organizations such as LinkedIn and Confluent. The project follows open-source maintenance practices similar to those at Apache Software Foundation projects: issue tracking, pull request review, continuous integration with Travis CI or GitHub Actions, and semantic versioning. Forks and community-driven continuations address compatibility with newer Apache Kafka releases and migration away from dependencies on Zookeeper (software) as the Kafka ecosystem evolves. Operators considering adoption evaluate alternatives including Confluent Control Center, Burrow (software), and platform-specific management tools from cloud providers like Amazon MSK.