Edward SarkerDirector of DevOps at Spire Digital
"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."
Waleed OsmanSupport Manager at Medstreaming
"Magalix made it easy for us to understand performance issues in our containers, cluster resources utilization, achieve significant savings"
Ewlad De VriesCTO, Medstreaming
"We were very impressed with the technical competence and the white glove treatment we received so far."
No. Due to the overhead our systems take, we regret that we can't keep freely connected clusters forever. You will get notified and your cluster will be suspended after 6 months from the registration date.
A custom advisor is custom configured using the Open Policy Agent standard. Any rule you can specify with JSON using the Rego language can be captured as a policy with a custom advisor and applied to any of your clusters on Magalix. It's a powerful way to enforce policy systematically for yourself and your team.
There are certain approaches to Kubernetes that are just becoming a standard. Implement Liveness probes; implement Readiness Probes; set reasonable limits and requests, etc. At the entry price level, Magalix will help you ensure Best Practices. As you grow, it will help you optimize.
As your team grows its use of Magalix, our advisors shift to help you address day 1 and day 2 concerns. How should you structure your resources? How is your cost affected as you scale? The more relevant growth and scale are to your company, the more relevant our Growth and Professional tiers.
Automations are small, discrete, repeatable tasks for the management of CPU and Mem that you can offload to our agent. For instance, we can help you foresee changes in resource usage, and deploy changes automatically to your limits and requests to keep you available and keep incidents to a minimum for your team.