Whitepaper 'FinOps and cost management for Kubernetes'

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Ebook 'From FinOps to proven cloud cost management & optimization strategies'

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Open source cost optimization recommendations for Google Cloud

Get full cloud cost transparency, identify wastage and reduce your GCP bill

Hundreds of cost optimization scenarios

Engineering engagement in GCP cost optimization

Geo and network traffic cost map

Cost anomaly detection

Budget constraints, daily limits and quotas

Hundreds of cost optimization scenarios and FinOps adoption

Hundreds of GCP cost optimization scenarios, including VM rightsizing, CI/CD job resource resizing, or reducing cross-region traffic, are available for OptScale users. OptScale brings full GCP cost observability, identifies budget wastage, offers a wide range of performance enhancement, and improves resource utilization.

OptScale helps assess your FinOps readiness and maturity state and get tangible recommendations.

OptScale is fully available as an open source solution under Apache 2.0 on our GitHub page →

Engineering engagement in GCP cost optimization processes

Company cloud expenses are strongly coupled with cloud usage. Involving engineers as owners of cloud resources in cost savings is a crucial element of the optimization process.

OptScale allows every team member to track their resources, get alerts and notifications, and set and update TTLs. It also gives personalized optimization recommendations to improve IT infrastructure usage and reduce costs.

How to engage your team in a FinOps process →

Geo and network traffic cost map

OptScale cost map helps companies make informed decisions regarding Google Cloud regions and their cost efficiency. Leverage OptScale to track the cloud costs of all your resources among different regions, identify potential risks, optimize cloud costs, and gain complete visualization of your spending on resource usage in GCP, AWS, MS Azure, Alibaba Cloud, or Kubernetes.

Beyond that, the network traffic visualizer shows accumulated expenses for paid network traffic between cloud regions and external services to make cloud usage more cost-efficient.

More details about the multi-account cost map for Kubernetes and traditional workloads →

Cost anomaly detection

GCP cloud bills don’t need to be unpredictable. OptScale can continuously observe GCP costs and resource utilization and detect cost anomalies to avoid bill shocks. The solution highlights the roots of overspending, allowing your engineering teams to take steps quickly and prevent budget overruns.

Budget constraints, daily limits and quotas

OptScale opens significant cost-saving opportunities for Google Cloud platform users by providing an opportunity to set TTL rules, budget constraints, daily limits, and quotas with instant alerts.

Real-time notifications via Slack allow engineers to keep the resource lifecycle under control, avoid underutilized resources and prevent budget overruns.

OptScale live demo →

News & Reports

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

Webinar

FinOps and cloud cost optimization for ML/AI workloads

Join our live demo on 25th October and discover how OptScale allows running ML/AI or any type of workload with optimal performance and infrastructure cost.

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