meshIQ streaming.
Streaming platforms offer both performance and scale for a wide range of enterprise use cases. We provide observability and management for both open source and commercial Apache Kafka® distributions.
Apache Kafka®.
Observe and manage your Streaming platforms from multiple vendors deployed across a Hybrid Cloud. meshIQ is the complete management, monitoring, tracking, tracing, reporting, and observability platform.
- Improve DevOps processes to reduce deployment and performance issues.
- Complete visibility into the streaming infrastructure across on-prem and Cloud.
- Observe and manage irrespective of the vendor(s) and the version of the platforms.
meshIQ Console for Apache Kafka® product videos.
Administration and secure self-service configuration.
A single pane of glass to manage all your Apache 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 and observability.
Ensure smooth, uninterrupted delivery of mission-critical digital services via tracking of metrics from Apache 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 Apache 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.
meshIQ delivers the ultimate set of Apache Kafka® monitoring tools, with a combination of views for different users, covering real-time monitoring, tracking, and exploring.
Transaction tracking and analytics.
Ensure smooth, uninterrupted delivery of mission-critical digital services via tracking of metrics from Apache 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 Apache 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.
