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September 21, 2020
Kubernetes Cost Optimization 101
Over the past two years at Magalix, we have focused on building our system, introducing new features, and
Enforce and scale Kubernetes best practices and standards end-to-end. Get the right visibility, at the right time. Do it as a team.
KubeAdvisor reports your cluster’s performance against the best practices for all Kubernetes objects. Write and distribute your own Rego-based policies using our Rego playground. It comes with dozens of built-in policies.
KubeGuard provides mechanisms for early detection and prevention of bad configurations and violations. Integrate it with your CI/CD to provide early feedback to your developers. It also acts as a gatekeeper on your cluster to prevent manual, last minute, changes that might violate any of the existing policies.
KubeOptimizer recommends memory/CPU allocations for your pods and workloads based on observed and predicted utilization. Automate your resource tuning with a few clicks. Get full node pool plans to save money and improve the cluster’s performance.
Your Kubernetes cluster is connected to the Magalix SaaS backend through the Magalix Agent, which is a single container per cluster. The Magalix system continuously analyzes collected metrics, objects specs, and events. Our system uses our built-in advisors and your policies to create detailed insights and recommendations.
Our web interface and the integration with 100s of tools make it possible to build complex workflows and visualize cluster data however you need it.
"I recently discovered Magalix while browsing the GCP marketplace. It promised an auto-pilot, cost-cutting monitoring agent for our k8s platform. Sounds too good to be true. It is true."
"Magalix made it easy for us to understand performance issues in our containers, cluster resources utilization, achieve significant savings"
We were very impressed with the technical competence and the white glove treatment we received so far.
Implement the proper governance and operational excellence in your Kubernetes clusters.
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