Apache Kafka Monitoring

End-to-end observability into Apache Kafka with real-time broker, producer, ZooKeeper and consumer metrics alongside system-level metrics, JVM and infrastructure dependencies, in a single console

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Kafka is highly resilient to broker failures, ensuring that data remains available and durable, and the system continues to operate with minimal disruption even in the presence of hardware failures or other issues. Proactive and continual monitoring will allow you to optimize your IT operations by identifying genuine faults and issues masked by Kafka’s fault-tolerance and self-correction.

Turnkey end-to-end Kafka monitoring and observability

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The powerful AIOps technologies within the eG Enterprise platform automate Kafka monitoring and alerting to give you full real visibility as your systems scale

Auto-detect and deploy ensure continual and proactive monitoring of Kafka and its dependencies even within containerized, autoscaling and microservice architectures
Key metrics, events and logs are monitored in real-time out-of-the-box

Metric thresholds and alerting are determined and configured out of the box without manual effort
AIOps technologies auto-baseline behavior and proactively alert on anomalies, slowdowns and unusual behavior
Intelligent alert correlation and root-cause diagnostics pinpoint issues and avoid alarm storms
Detailed automated root-cause diagnostics source even code level issues
Available as a fully managed ready-to-go SaaS monitoring service. Self-managed on-prem or in cloud options are also available for those with compliance or regulatory needs
Support for managed Kafka services such as Amazon MSK

Key metrics to troubleshoot Apache Kafka performance

Continually collects and monitors network, JVM, broker, producer, consumer, and ZooKeeper metrics to quickly identify and resolve issues
Intelligent AIOps-powered baselining provides alerts at the first sign of anomalies, outliers and slow performance
Automatically pinpoints bottlenecks and errors with full latency breakdowns, end-to-end application tracing, and server transaction traces
Synthetic testing allows you to proactively test services reliant on Kafka end-to-end

Full-stack observability of JVMs and Garbage Collection

The JVM is responsible for memory management, garbage collection, and efficient execution of Kafka broker processes.

Proper configuration and tuning of the JVM are essential for ensuring Kafka's reliability and performance.

Learn more about JVM Monitoring: JVM Monitoring Tools | eG Innovations

Cost-effective Kafka monitoring and observability for the entire organization

Simple intuitive dashboards and views for Helpdesk operators, enable non-specialists to differentiate between Kafka issues and route support issues to the correct teams
ITSM integrations with all common ticket tracking and service desk tools allow traceable, automated management of issues. Support for ServiceNow, MS Teams, JIRA, Autotask and more
Full observability on cloud services, infrastructure and subscription billing allows the costs of running Kafka on Azure, AWS and so on to be understood and minimized

Allows IT infrastructure teams to understand the demands of services using Kafka on containers, networks, servers, databases and other provisioned infrastructure or services
Rich service and network topology maps provide deep understanding of the dependencies in complex cloud and containerized environments
Integration and API support. Integrate seamlessly with your existing tools and systems. Leverage APIs for custom integrations.
No per app and no per application server licensing for cost effective APM

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Works on cloud environments, hybrid cloud setups and on-premises deployments
Deploy eG Enterprise using our SaaS platform or on-premises
Suitable for monitoring cloud applications, digital workspaces and IT infrastructures