Every engineering team needs real-time resource metrics and historical reference to build a solid strategy of performance cost optimization and resource utilization. With OptScale you get one-click access to key resource metrics of different public clouds and Kubernetes in a single pane of glass. It helps take action quickly, identify underutilized resources, detect cost anomalies and implement optimization scenarios.
Providing prolonged metrics storage and retention
One-click access to multicloud key resource metrics via a single platform
Visualization of cloud metrics with graphics on one dashboard
Achieving full visibility into health and performance of resources
OptScale performs prolonged metric storage beyond default limits of public clouds. The solution enables you to derive such key metrics as CPU loading, in/out network traffic, RAM and disk operations in six months or more. The historical reference allows DevOps to analyze company usage patterns and review a resource lifecycle in detail to improve cloud performance.
Instant monitoring of cloud resource metrics is not a complicated task for an engineering team any more. OptScale provides quick access to multicloud key metrics via a single platform, so you don’t need to collect metrics from consoles of different cloud providers. This option helps to detect underutilized resources and cost anomalies to start a resizing process and optimize the performance.
Complete visibility into cloud resources with a help of one-click access to key metrics allows engineering teams to identify underutilized or obsolete resources and act quickly to resolve issues for optimization purposes.
A full description of OptScale as a FinOps and MLOps open source platform to perform multi-scenario cloud cost optimization and ensure ML/AI profiling and optimization
Discover our best practices:
This ebook covers the implementation of basic FinOps principles to shed light on alternative ways of conducting cloud cost optimization