Integration Infrastructure Management (i2M) for Kafka.
The complete management, monitoring, tracking, tracing, reporting, and observability solution for Apache Kafka including all derivatives such as IBM Event Streams, Confluent Kafka and Cloudera Kafka. The ultimate set of Kafka tools in a single platform.
Administration & Secure Self-Service Configuration
A single pane of glass to manage all your Kafka instances. With global search, copy, paste as well as scheduling and undo, tasks that used to take days of work can now be delivered in seconds.
Provide developers and QA teams with the ability to manage their own middleware environments securely with auditing.
This provides faster time-to-market for updates and new apps and ensures adherence to governance and compliance policies.
Monitoring & Observability
Ensure smooth, uninterrupted delivery of mission-critical digital services via tracking of metrics from Kafka topics, clusters, producers, consumers and brokers, Partitions, Leaders, Followers, Streams, Controllers, Resources, and Zookeeper while simultaneously offering deep-dive insight into the JVM itself.
Pre-built dashboards and policies provide “out-of-the-box” monitoring and alerting for Kafka to handle the most common situations such as under-replicated partitions, ISR shrink/expansion rate, offline partitions, incoming/outgoing byte rate, produce/fetch rates, size of request queue, average request latency, failed requests, idle request handler, unclean leader election, zookeeper disconnects, active connections.
Nastel delivers the ultimate set of Kafka monitoring tools, with the combination of views for different users, covering real time monitoring, tracking, and exploring.
Transaction Tracking & Analytics
Ensure smooth, uninterrupted delivery of mission-critical digital services via tracking of metrics from Kafka topics, clusters, producers, consumers and brokers, Partitions, Leaders, Followers, and Zookeeper while simultaneously offering deep-dive insight into the JVM itself.
Pre-built dashboards and policies provide “out-of-the-box” monitoring and alerting for Kafka to handle the most common situations such as under-replicated partitions, ISR shrink/expansion rate, offline partitions, incoming/outgoing byte rate, produce/fetch rates, size of a request queue, avg request latency, failed requests, idle request handler, unclean leader election, zookeeper disconnects, active connections.
Related technical content
XRay for Kafka
Kafka Transaction/Message Tracing walkthrough
A short demonstration / Walkthrough of Nastel XRay tracing transactions on Kafka and drilling into the data, with Richard Nikula, Vice President of R&D at Nastel
Kafka Tutorial
Intro to Kafka for people who understand IBM MQ
In this in-depth 60-minute education session Vice President of R&D Richard Nikula provides history, detail, and context about Kafka, specifically created for IBM MQ users who will or may be managing Kafka environments.
Navigator for Kafka
A Quick Introduction to Nastel Navigator for Kafka
Vice President of R&D Richard Nikula takes you through industry-best management of Kafka environments, plus management of an enterprise’s core Integration Infrastructure (i2), which includes IBM MQ, Kafka, and TIBCO EMS.
