StackState Blog

How to monitor a Kubernetes environment - Part 3

Posted by Mark Bakker on Mar 30, 2017 10:15:05 AM

 

This post is part 3 in a 4-part series about Container Monitoring. Post 1 dives into some of the new challenges containers and microservices create and the information you should focus on. Post 2 describes how you can monitor your Mesos cluster. This article describes the challenges of monitoring Kubernetes, how it works and what this means for your monitoring strategy. 

 
What is Kubernetes?

Kubernetes is a powerful orchestration system, developed by Google, for managing containerized  applications in a (private) cloud environment. Kubernetes is able to automate the deployment,  management and scaling of containerized applications and services. Kubernetes provides the  infrastructure to build a truly container-centric development and operations environment.
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Topics: Dev/Ops, Integrations, Monitoring, Virtualization, Technologies, ITOA

Monitor Mesos with StackState - Part 2

Posted by Mark Bakker on Mar 22, 2017 3:00:02 PM

 

This post is part 2 in a 4-part series about Container Monitoring. Post 1 dives into some of the new challenges containers and microservices create and the information you should focus on. This article describes how to monitor your Mesos cluster.

 

Apache Mesos is a distributed systems kernel at the heart of the Mesosphere DC/OS and is designed for operations at very large scale. It abstracts the entire data center into a single pool of computing resources, simplifying running distributed systems at scale.

 

Mesos supports different types of workloads to build a truly modern application. These distributed workloads include container orchestration (like Mesos containers, Docker and Kubernetes), analytics (Spark), big data technologies (Kafka and Cassandra) and much more.

 

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Topics: Dev/Ops, Integrations, Monitoring, Virtualization, Technologies, ITOA

Automate incident investigation to save money and become proactive

Posted by Mark Bakker on Mar 1, 2017 4:16:42 PM

 

How many hours did your best engineers spent investigating incidents and problems last month? Do those engineers get a big applause when they solved the issue? Most likely the answers are “a lot” and “yes”…

 

The reason that problem and incident investigation is hard, is because usually you have to search through multiple tools, correlate data from all those tools and interpret this data.

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Topics: Dev/Ops, ITSM, ITOA

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