![]() ![]() ALEX KUBES INSTALLIf you don’t already have it, install Spinnaker To set up the Kubecost and Spinnaker integration, follow the below installation steps: To integrate Kubecost and Spinnaker, we create a custom webhook that calls the Kubecost API for recommendations and automatically deploys those recommendations to a given namespace. Spinnaker automatically repeats this process for deployments, as Kubecost continues to collect new metrics every minute. As Spinnaker deploys your application to its pipeline, it uses the resource inefficiencies identified by Kubecost to dynamically adjust the resource requests provided to the Kubernetes scheduler. ![]() The flywheel begins with the Kubecost insights API producing cost efficiency metrics. The diagram above shows a high-level overview of the interaction between Kubecost, Spinnaker, and the Kubernetes control plane. ![]() Integrating Kubecost and Spinnaker, teams can ensure continuous cost efficiency at scale. Today, hundreds of teams are using Spinnaker across millions of their production deployments.īy factoring in Kubecost metrics as part of deployment decisions, Spinnaker can automatically leverage Kubecost’s insights to reduce overprovisioned Kubernetes infrastructure. This enables teams to streamline their development processes and reduces the risk of unverified infrastructure reaching deployment, which can impact end-users. ALEX KUBES SOFTWAREFor example, using a Spinnaker pipeline, teams can automatically validate their software and configuration against various criteria before deploying to production. Teams using Spinnaker can automate software deployment to any major cloud provider, while leveraging industry best practices. Spinnaker is a continuous delivery tool originally developed and open sourced by Netflix and Google. Continuous cost efficiency with Kubecost and Spinnakerįor a more scalable approach, you can automate the application of Kubecost recommendations with a Spinnaker pipeline. ALEX KUBES UPDATEHowever, as your software and configurations change, or increased demand drives additional load, you would need to continually update your infrastructure using the latest optimization metrics from Kubecost-a manual process that could get quite tedious. You could take these recommendations and manually apply them. If a namespace has requested 100 millicpu, but is only using 6 millicpu, Kubecost will flag this as an opportunity for optimization, and recommend a reduced CPU capacity. Teams can identify resource inefficiencies within their Kubernetes infrastructure by using the Kubecost Insights API-for example, to identify that a particular namespace is inefficient because it has overprovisioned CPU. With accurate cost reporting from Kubecost, you can implement a chargeback program to bill spend back to your business units. Understanding cost by higher-level concepts such as namespace or label provides transparency around application costs and visibility into cost drivers. Kubecost automatically allocates your cluster’s costs across native Kubernetes concepts based on their resource usage. Identifying inefficiencies in your cluster Using Kubecost and Spinnaker, teams can achieve real-time cost visibility-and automatically apply insights to continuously reduce Kubernetes costs as they deploy software releases. Kubecost has worked with Armory (creators of enterprise-grade software delivery platforms with Spinnaker at their core) to create an integration that solves this challenge. Identifying under- and over-provisioned resources is an important first step in reducing wasteful Kubernetes spend, but without a programmatic means of applying recommendations, engineers could spend valuable time making frequent manual adjustments. Optimizing Kubernetes applications with Kubecost and Spinnaker ![]()
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