Nastel Technologies announced AutoPilot for Apache Kafka, new technology for problems commonly experienced in today’s complex hybrid IBM middleware stacks (MQ / IIB / DataPower) and Apache Kafka environments.
AutoPilot provides operational and transactional monitoring for Apache Kafka, the open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.
Kafka is a unified, high-throughput, low-latency platform for handling real-time data feeds. It utilizes a massively scalable pub/sub message queue architected as a distributed transaction log, as its storage layer. It is often used by our clients as a transport for streaming data interconnected with other messaging and processing systems.
AutoPilot for Kafka provides the forensics used to diagnose Kafka problems. Performance and availability monitoring of Kafka is accomplished via end-to-end stream monitoring and tracking of metrics from brokers, consumers, producers and Zookeeper, Kafka’s configuration service.
AutoPilot examines the metrics collected for Kafka topics, producers, consumers and brokers as well as offering deep-dive insight into the JVM, itself.
AutoPilot for Kafka provides:
- Auto discovery of end-to-end transactions spanning Kafka and other technologies such as IBM MQ
- Parsing of Kafka messages which are tokenized and utilized for analytics and transaction stitching
- SLA Monitoring, Analytics and Reporting
- Deep-dive monitoring of composite application components that include Kafka
- Proactive alerting and reduction in false alarms
AutoPilot also utilizes Kafka internally as an integration technology for data transport.
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