Whitepaper 'FinOps and cost management for Kubernetes'
OptScale is fully available as an open source solution under Apache 2.0 on GitHub
Ebook 'From FinOps to proven cloud cost management & optimization strategies'
Optimize cloud costs within Kubernetes container infrastructure. Define owners, analyze costs across multiple clusters even using multi-cloud and achieve complete visibility into your containerized environment. Resource constraints, budget allocation, real-time recommendations, and insights guarantee that Kubernetes clusters won’t lead to budget wastage.
Detect underutilized or idle resources and select the most appropriate cloud region in terms of price and performance. Start benefiting from rightsizing capabilities immediately with OptScale. Benefit from dozens of ready-to-implement recommendations to optimize Kubernetes or cloud workload performance and price as soon as you log in.
Start optimizing costs for cloud and K8s workloads. OptScale provides optimization hints for each cluster: cloud discounts, pod, and node rightsizing, autoscaling, fragmented nodes rebalancing, etc. Cut cloud bills with AI-based cost analytics, a cloud cost map, and cloud health monitoring. Then start benefiting from your accurate expense forecasts and avoid future budget overruns.
Get complete visualization of the health, price, and performance of resources, applications, and the entire IT infrastructure from your OptScale dashboard. Get automatic notifications about cost anomalies, budget wastage and bottlenecks in application performance. OptScale guarantees full transparency of resource usage and cost across Kubernetes and traditional workloads.
Implement tagging systems for superior resource and application usage visibility. Map all the costs across organizational units, projects, or unique users. Assign budgets and resources to team members and projects, and easily identify the boundaries of responsibilities across your R&D department. Receive insightful, online notifications and alerts in Slack to stay informed.
Review individual resources and clusters, set TTL rules, and pool constraints to identify any budget overruns immediately. OptScale enables IT teams to track all events and actions for auditing purposes, set budget thresholds and receive real-time notifications.
Expense optimization isn’t simply a one-day task, it’s an ongoing process. With OptScale, R&D team members are deeply involved in cost savings on a regular basis and are responsible for workloads and budgets assigned to them. Slack integration helps to engage engineers in FinOps implementation and cloud cost management. It’s a definitive way to achieve full budget transparency and significantly reduce monthly cloud bills.
OptScale monitors key application and resource metrics like CPU, network and storage utilization. For public cloud environments, OptScale utilizes data provided by cloud-native monitoring tools, or feel free to connect the monitoring system of your choice, such as Datadog or PagerDuty. All Kubernetes metrics are collected by Prometheus.
OptScale analyzes the performance metrics, compares them with historical data, patterns and then identifies bottlenecks. Bottlenecks could be lack of IOPS, CPU underutilization, wrong node pool for pods, etc.
OptScale provides dozens of performance enhancement scenarios such as; VM rightsizing, CI/CD job resource reflavoring, pod affinity groups, and reducing cross-region traffic. The majority of the scenarios are available in the Free version of the solution.
A full description of OptScale as a FinOps and Test Environment Management platform to organize shared IT environment usage, optimize & forecast Kubernetes and cloud costs
