Have you ever felt that the costs of all available managed services or third party setups exceed what you were prepared to spend?
Have you ever felt that the costs of all available managed services or third party setups exceed what you were prepared to spend? Or that you were given a budget that leaves little room for playing around?
At Skira, all statements above appealed to us. To solve these issues we’ve done 4 things: spent time analyzing the billing section, optimized our choice of namespaces, set resource limits, and made use of Helm deployments, all of which have substantially reduced our GCP expenses. I want to share these 4 tips on how to be smarter with your infrastructure choices to avoid the unpleasant bills at the end of the month.
This article specifically targets GKE (Google Kubernetes Engine) instances and deployments. The article assumes you have set up a project in GCP (Google Cloud Platform) and have CLI access to your cluster via kubectl. If not, read this article about clustering with kubectl and this article about setting up Google cloud projects and come back!
Our original Kubernetes tool list was so popular that we've curated another great list of tools to help you improve your functionality with the platform.
Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.
This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.
DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.
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