The latest News and Information on Containers, Kubernetes, Docker and related technologies.
A couple weeks ago, we released the Helm chart and docker images so you could install StackStorm Enterprise HA cluster in Kubernetes. Today, we’re glad to announce that the Community free and open source edition of StackStorm HA is now available, too!
Lately, IT teams are looking for Docker monitoring tools as legacy products like cAdvisor and Sysdig cloud do not offer greater insights. Docker monitoring needs a crucial change in the way your agents, plug-ins, and monitoring works to support containers. Many enterprises have started deploying significant production workloads on Docker, it seems there is a substantial shift towards adopting Docker.
In this post we will cover how to monitor the Java Runtime Environment (JRE). You will learn how to assess the performance of your Java application by profiling its memory usage, the garbage collector metrics, monitoring Java daemon and user threads and other fundamental JRE metrics. We will finish with a real Java JRE troubleshooting example using opensource Sysdig and Docker.
Today we announced the launch of enterprise-grade Prometheus monitoring with Sysdig Monitor 3.0. We’ve added new Prometheus capabilities like PromQL, a Grafana plugin and new enhancements for our already rich Kubernetes monitoring. If you love Prometheus like we do, and especially if your cloud environment is growing quickly, read on to learn more about what we’re doing with Prometheus, Kubernetes and more.
Here at Sysdig we follow Kubernetes development pretty closely. Next Tuesday the next release of our favourite orchestration tool will get out of the oven freshly baked, so this is a summary of what’s new in Kubernetes 1.12!
More groups are progressing from just talking about Event-Driven Automation to actually doing it in practice. StackStorm helps make this easy. When organizations start offloading business-critical tasks and automating for real it becomes essential to ensure that the Automation engine itself is not a single point of failure when it is responsible for recovering a fleet of servers, managing datacenters, and automating remediations.
