gMaestro is a continuous workload and pod rightsizing tool for Kubernetes cost optimization. The free tool provides DevOps, SREs and FinOps full visibility into K8s clusters, to eliminate over-provisioning and reduce costs with just a click of a button.

Hi everyone👋! My name is Asaf I am the CEO and Co-Founder of Granulate Kubernetes have played a key role in managing containerized environments and reducing development times, yet cost and resource management remain a challenge. The costs of over-provisioning and mismanaged, idle, and even forgotten resources have become a significant financial burden for companies globally. But they shouldn’t be. At Granulate, we believe optimization of cost and performance should be easy to achieve. That’s why we are proud to announce the coming launch of our newest free cost-reduction solution, gMaestro: a continuous workload and pod rightsizing tool for Kubernetes cost optimization. gMaestro provides several unique benefits for development and software engineers managing orchestration applications: - Eliminate over-provisioning: Automatic rightsizing for workloads so you pay only for what you use - Gain full visibility into your K8s clusters: A simplified, end-to-end overview of K8s objects -- namespaces, deployments, containers, and more. - Ensure optimal performance: Keep your competitive SLAs while reducing your Kubernetes cost without compromising performance metrics. - No limitations: Works with HPA and different resource reservation sizes and cluster autoscalers. Would love to hear your thoughts on the product. Join our slack community or send me a DM. Cheers, Asaf

@asaf_ezra very cool and good value prop!

@ori_rafael thank you. We want to make sure organizations only pay for what they use, or as close to it as possible!

@asaf_ezra great work and kudos to you and the team! Quick question - would it also give me the yaml code or just let me apply the patch?

Hi @ptannor my name is Shahar Yakov and I'm the PM of the gMaestro. Regarding your question, so yes you will receive both YAML code and a patch command for any required changes. You can use the YAML code to update your source YAML in your Git repository so every future release will contain the changes and use the patch command to apply the changes immediately.

this is beautiful guys, thank you!

Thank you @arielassaraf and for joining our Slack channel as well. Feel free to send feature requests or feedback on it :)

gMaestro by Granulate

Kubernetes Cost Optimization, Made Easy

Kubernetes Cost Optimization, Made Easy

gMaestro by Granulate

Kubernetes Cost Optimization, Made Easy

Kubernetes Cost Optimization, Made Easy

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