Monitor cloud costs within Kubernetes container infrastructure to keep the same performance while reducing your cloud bill and forecasting IT spending.
Cost transparency across teams, applications and individual PODs
Kubernetes cost management and forecast
TTL rules, budget constraints & cost anomaly detection
Kubernetes bill reduction and optimization
When it’s time to analyze a Kubernetes cost, you may find it challenging as your bill won’t include all the necessary workload information. For example, the cloud bill will not match the price for specific business purposes. The cost of a cluster consists of the cost of each active server on which it runs. However, it’s crucial to have a detailed Kubernetes cost analysis to run a business effectively.
OptScale offers complete cost transparency and hundreds of optimization scenarios so that your IT budget is under control and Kubernetes expenses are significantly reduced.
Boost your awareness with complete visibility. Get real-time resource detection and map out your K8s cost to a specific business unit, team, individual engineer, or project within your organization, enabling you to achieve complete cloud cost transparency. Analyze expenses across multiple clusters on a single dashboard. Identify the cost of each deployment, service, or namespace. Receive real-time alerts and notifications to reduce costs continuously.
Enable various optimization scenarios involving all the common ways to manage your Kubernetes cloud costs. OptScale offers the best option for each cluster, including the following variants: applying cloud discounts such as reserved instances, pod rightsizing, node rightsizing (VMs rightsizing), autoscaling, and rebalancing fragmented nodes. OptScale’s real-time rightsizing hints and recommendations help track underutilized resources and downgrade them before they result in a vast budget overrun.
Immediately catch your budget overruns with a solid TTL rules system, budget constraints, and cost anomaly detection. OptScale enables your IT team to track all events and actions for audit purposes, set budget thresholds and receive real-time notifications. Slack integration helps engage engineers in FinOps implementation and cloud cost savings.
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.
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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.