gMaestro is CSP agnostic and runs on all of the major CSPs, including GCP, Azure, AWS, OpenShift and K8s, and complies with the highest security standards with SOC2, ISO, HIPAA, and GDPR certifications.
Granulate, an Intel Company developer of autonomous, continuous workload optimisation solutions, announced the upcoming launch of its latest free cost-reduction solution, gMaestro, a constant workload and pod rightsizing tool for Kubernetes cost optimisation. Granulate’s gMaestro provides DevOps, SREs, and FinOps teams complete visibility into their K8s clusters allowing them to eliminate over-provisioning and reduce costs by up to 60%.
Kubernetes have played a key role in managing containerised environments and reducing development times, yet cost and resource management remain challenging. The costs of over-provisioning and mismanaged and idle resources have climbed and become a significant financial burden for companies globally.
gMaestro, which can be installed with a single line of code, provides visibility into inefficiencies within Kubernetes clusters. Users can automatically apply HPA, CPU, and Memory request changes that can be employed to save up to 60 per cent. The fully autonomous capability will be generally available next month, enabling all gMaestro users to implement the recommendations with a click of a button.
“Organisations are taking a hard look at their budgets due to the current economic realities and looking for any opportunity to reduce costs,” said Asaf Ezra, CEO of Granulate. “Part of our goal at Granulate has been to democratise solutions for the engineering community by making optimisations easy to achieve and even fully autonomous. We are fortunate that as an Intel company, we can continue bringing new tools to the market to further that vision.”
Granulate’s gMaestro provides several unique benefits for development and software engineers managing orchestration applications:
- Eliminate over-provisioning: Automatic workload rightsizing so you pay only for what you use.
- Gain complete 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: It works with HPA. It also works with different resource reservation sizes and cluster auto scalers.
gMaestro is CSP agnostic and runs on all of the major CSPs, including GCP, Azure, AWS, OpenShift and K8s, and complies with the highest security standards with SOC2, ISO, HIPAA, and GDPR certifications.
