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Container technologies have captivated the computing world. Containers are the cornerstone for cloud computing and microservice architectures. Whether it be Docker™, Docker Compose™, or Kubernetes™, the IT world is embracing this technology with great enthusiasm.
How can you monitor containers? They are different from traditional hosts and servers. For one thing, they are not physical machines; nor are they virtual machines. Containers can be spun up to handle periodic load, and then torn down when no longer needed. With Kubernetes, containers can also be replicated and load balanced in pods across clusters.
Capacity planning in a multi-cloud environment is a complex challenge affecting most (if not all) organizations. Cloud based infrastructure has added to the complexity, both in cost and optimization. Organizations must optimize the performance of their hosted applications, but also plan for future growth while justifying cost. This paper focuses on the variables to consider for an effective capacity plan, and explains how monitoring removes the guesswork by providing quantitative data organizations can use to make better decisions about their infrastructure.
For more information see Capacity Planning: Monitoring for Success