One-click access to key cloud performance metrics on a single dashboard

Get prolonged cloud metrics storage for auditing or reporting purposes

Monitor metrics in a straightforward way with OptScale

Every engineering team needs real-time resource metrics and historical reference to build a solid strategy of performance cost optimization and resource utilization.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

Providing prolonged metrics storage and retention

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 The historical reference allows DevOps to analyze company usage patterns and review a resource lifecycle in detail to improve cloud performance.

One-click access to multicloud key resource metrics

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.

Dozens of metrics monitored to give your R&D team the best provisioning experience with a less and predictable cloud cost →

Identify underutilized resources quickly and get optimization scenarios

Achieving full visibility into health and performance of resources for proper optimization

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.

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Slide deck

FinOps and MLOps

A full description of OptScale as a FinOps and MLOps open source platform to optimize cloud workload performance and infrastructure cost. Cloud cost optimization, VM rightsizing, PaaS instrumentation, S3 duplicate finder, RI/SP usage, anomaly detection, + AI developer tools for optimal cloud utilization.

How-tos

FinOps, cloud cost optimization and security

Discover our best practices:

How to release Elastic IPs on Amazon EC2
Detect incorrectly stopped MS Azure VMs
Reduce your AWS bill by eliminating orphaned and unused disk snapshots
And much more deep insights

OptScale

Optimize RI/SP usage for ML/AI teams with OptScale

Find out how to:

see RI/SP coverage
get recommendations for optimal RI/SP usage
enhance RI/SP utilization by ML/AI teams with OptScale