i2M for Kafka

Integration Infrastructure Management
(i2M) for Kafka

Nastel delivers Integration Infrastructure Management (i2M) for Apache Kafka including all derivatives such as IBM Event Streams, Confluent Kafka and Cloudera Kafka.

 

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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.

  • Nastel Technologies®
  • Nastel Technologies®
  • Nastel Technologies®
  • Nastel Technologies®
  • Nastel Technologies®
  • Nastel Technologies®
  • Nastel Technologies®
  • Nastel Technologies®
  • Nastel Technologies®

Administration & Secure Self-Service Configuration

Nastel Technologies®

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

Nastel Technologies®

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 request queue, average request latency, failed requests, idle request handler, unclean leader election, zookeeper disconnects, active connections.

Transaction Tracking & Analytics

Nastel Technologies®

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.

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