Rise of the Kafka Heroes! Join the Data Streaming Revolution | Read the Comic
Tags: Monitoring
RBAC at Scale, Oracle CDC Source Connector, and More – Q2’22 Confluent Cloud Launch
The Confluent Q2 ‘22 cloud bundle, our latest set of product launches, is live and packed full of new features to help your business innovate quickly with real-time data streaming. […]
Bringing Your Own Monitoring (BYOM) with Confluent Cloud
As data flows in and out of your Confluent Cloud clusters, it’s imperative to monitor their behavior. Bring Your Own Monitoring (BYOM) means you can configure an application performance monitoring […]
Announcing the Confluent Q1 ‘22 Launch
The Confluent Q1 ‘22 Launch is live and packed full of new features that enable businesses to continue innovating quickly with real-time experiences fueled by data in motion. Our quarterly […]
Introducing Health+ with Confluent Platform 6.2
For a modern, software-defined business, a platform for data in motion is critical to connecting every part of a vast digital architecture across an organization to harness the flow of […]
Monitoring Your Event Streams: Tutorial for Observability Into Apache Kafka Clients
Why should you monitor your Apache Kafka® client applications? Apart from the usual reasons for monitoring any application, such as ensuring uptime SLAs, there are a few specific reasons for […]
Monitoring Your Event Streams: Integrating Confluent with Prometheus and Grafana
Self-managing a highly scalable distributed system with Apache Kafka® at its core is not an easy feat. That’s why operators prefer tooling such as Confluent Control Center for administering and […]
Simplifying Apache Kafka Multi-Cluster Management Using Control Center and Cluster Registry
Most companies who have adopted event streaming are running multiple Apache Kafka® environments. For example, they may use different Kafka clusters for testing vs. production or for different use cases. […]
42 Things You Can Stop Doing Once ZooKeeper Is Gone from Apache Kafka
Soon, Apache Kafka® will no longer need ZooKeeper! With KIP-500, Kafka will include its own built-in consensus layer, removing the ZooKeeper dependency altogether. The next big milestone in this effort […]
Apache Kafka Lag Monitoring at AppsFlyer
This article covers one crucial piece of every distributed system: visibility. At AppsFlyer, we call ourselves metrics obsessed and truly believe that you cannot know what you cannot see. We […]
Ensure Data Quality and Data Evolvability with a Secured Schema Registry
Organizations define standards and policies around the usage of data to ensure the following: Data quality: Data streams follow the defined data standards as represented in schemas Data evolvability: Schemas […]
Measuring and Monitoring a Stream Processing Cloud Service: Inside Confluent Cloud ksqlDB
While preparing for the launch of Confluent Cloud ksqlDB, the ksqlDB Team built a system of metrics and monitoring that enabled insight into the experience of operating ksqlDB, the associated […]
Build Real-Time Observability Pipelines with Confluent Cloud and AppDynamics
Many organisations rely on commercial or open source monitoring tools to measure the performance and stability of business-critical applications. AppDynamics, Datadog, and Prometheus are widely used commercial and open source […]
Real-Time Fleet Management Using Confluent Cloud and MongoDB
Most organisations maintain fleets, a collection of vehicles put to use for day-to-day operations. Telcos use a variety of vehicles including cars, vans, and trucks for service, delivery, and maintenance. […]
Monitoring Confluent Platform with Datadog
Earning customer love is a core value at Confluent, and like all relationships, listening makes the love flourish. When it comes to monitoring, we’ve heard you, and we are pleased […]