Today an R&D process is affected by a lack of transparency across test environment costs. OptScale brings complete visibility into phases of the development and a test process and helps optimize resource spending
Cost allocation reports for all R&D process stages
Cost of delivery forecasts
Full budget control over cloud and on-premise test environments
TTLs, live alerts and notifications
With OptScale engineering teams get an opportunity to create custom budgets for specific projects, features, epics, milestones, or releases, and allocate the cost for all phases of the development and a test cycle. It brings complete cost transparency under QA environments and helps reduce expenses on the R&D process.
Based on the customer’s cost model, usage patterns and continuous monitoring of all stages and components of the R&D process, OptScale generates a cost of delivery forecast. The forecast enables team leads to prevent budget overruns and improve the test environment management strategy.
It’s a common case when companies use cloud and on-premise test environments for their R&D process. OptScale enables QA teams to keep track of test infrastructure launched on AWS, Microsoft Azure, GCP, Alibaba Cloud, Kubernetes clusters, and on-premise test environments. The consolidated budget helps take the budget under control and forecast the price of the R&D process.
Live alerts and notifications allow R&D teams to stay informed of cost and usage of test environments across cloud platforms or on-premise infrastructure. Customer’s TTLs rules help not to exceed expense limits at any stage of the R&D process. Integration of OptScale with Slack gives an opportunity to get real-life notifications associated with deployments, test environments usage, updates or any state changes in a straightforward way.
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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