Optimize Live
3 minute read
30-day Free Trial
If you haven’t tried StormForge Optimize Live yet, start your 30-day free trial now at app.stormforge.io/signup!
You can also check out this Getting Started video (3min), which walks you through sign-up and installation, and gives you a quick overview of the insights you’ll get in just 1 hour after installation.
Other ways to try Optimize Live:
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If you already have a cluster and you need a sample application to run, you can install our sample application. You’ll be able to view, generate, and apply recommendations, and observe how our machine learning rightsizes workloads. Within 1 hour, you’ll see your first recommendation. This guide has the details.
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If you don’t have a cluster of your own or if you don’t want to install anything just yet, you can explore Optimize Live with view-only privileges - no installation required - in our live sandbox environment.
Installing Optimize Live takes less than 2 minutes - check out the Install topic for prerequisites, Helm chart info, and what to expect after you install.
Introduction to StormForge Optimize Live
StormForge Optimize Live applies machine learning to your existing observability metrics to make real-time, actionable recommendations to resource settings for any deployment running in Kubernetes. Save cloud resources and money, increase reliability, reduce the business risk of poorly performing workloads, and get your developers focused on innovating, not tuning your Kubernetes environment.
Observation-based Optimization
StormForge Optimize Live leverages metrics from Kubernetes (for example, kube-state-metrics and cAdvisor) using machine learning to find opportunities to reduce cloud resource usage and cost while minimizing risk of CPU throttling or out-of-memory errors.
Based on historical usage and performance metrics, Optimize Live delivers a continuous, intelligent, and automated approach to maintaining Kubernetes efficiency in production.
Fast Time to Value
Immediately after installation, Optimize Live starts analyzing your Kubernetes environment. Within one hour after installation, you’ll see and finding ways to right-size your workloads.
Taking only minutes to configure, StormForge Optimize Live starts delivering value for your enterprise. Specify how frequently you want to see and apply new recommendations, your optimization goals, and how you want to apply recommendations: automatically, on demand, or as part of a CI/CD workflow.
Confidently Deploy Recommendations
As StormForge machine learning makes recommendations, you can choose to put your operations on autopilot by automatically accepting and implementing the recommendations in production, or you can choose to manually implement them. You can right-size based on your optimization goals — savings, reliability, or a balanced approach of the two — so you can treat mission critical apps more conservatively, for example. With StormForge, you’re always in full control.
Architecture
StormForge Optimize Live is composed of three parts:
- The StormForge Agent, which reports on new workloads and deploys and configures the Metrics Forwarder
- The StormForge Applier, an optional component you can install to deploy recommendations automatically or on demand or automatically, outside of a CI/CD workflow
- The
stormforgeCLI tool, for interacting with workloads and recommendations