Operations | Monitoring | ITSM | DevOps | Cloud



Kafka performance monitoring metrics

In this article, we will analyze what are the metrics for monitoring Kafka performance and why it is important to constantly monitor them. We will also look at the process of monitoring metrics for Kafka using Hosted Graphite by MetricFire. To learn more about MetricFire, book a demo with the MetricFire team or sign up for the free trial.


Apache Kafka service design for low latency and no data loss

Designing a production service environment around Apache Kafka that delivers low latency and zero-data loss at scale is non-trivial. Indeed, it’s the holy grail of messaging systems. In this blog post, I’ll outline some of the fundamental service design considerations that you’ll need to take into account in order to get your service architecture to measure up. Let’s start with the basics.

What is Kafka?

Apache Kafka is a popular open source platform for streaming, storing, and processing high volumes of data. In this video, we break down how Kafka works and how it’s able to provide you with a reliable, scalable, and highly performant service for managing events. We also touch on some key resources for effectively monitoring your Kafka deployments via Datadog.

Apache Kafka in the Airline, Aviation and Travel Industry

Apache Kafka is the de facto standard for event streaming use cases across industries. Many use cases can be applied to the aviation industry, too. Concepts like payment, customer experience, and manufacturing differ in detail. But in the end, it is about integrating systems and processing data in real-time at scale. For instance, omnichannel retail with Apache Kafka applies to airline, airports, global distribution systems (GDS), and other aviation industry sectors.