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 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.
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 provides every team member with an opportunity to track their resources, get alerts and notifications, set and update TTLs, and it also gives personalized optimization recommendations to improve IT infrastructure usage and reduce costs.
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 the 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.
GCP cloud bills don’t need to be unpredictable. OptScale is able to continuously observe GCP costs, resource utilization and detect cost anomalies to avoid bill shocks. The solution highlights the roots of overspends, which allows your engineering teams to take steps quickly and prevent budget overruns.
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.
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