Ebook 'From FinOps to proven cloud cost management & optimization strategies'
Whitepaper 'FinOps and cost management for Kubernetes'
Recognized by Forrester as a leading cloud cost management solution
Seamlessly adopt FinOps at your organization or simply get an assessment of your current FinOps readiness
Hystax drives FinOps methodology, and manages one of the biggest FinOps communities. OptScale helps companies implement FinOps principles by engaging engineering teams in cloud optimization and cost-saving processes. OptScale is designed to establish a long-term FinOps process by providing full cloud cost transparency, improving resource utilization, identifying wastage and providing hundreds of cost optimization recommendations.
OptScale enables companies to get an assessment of their current FinOps readiness and adoption state and provides a plethora of insightful recommendations on how to improve and accelerate FinOps implementation. OptScale analyzes connected cloud accounts, Kubernetes clusters, and engineering teams’ survey responses to generate a report with a detailed analysis of the IT infrastructure state, highlighted issues, recommendations, and next steps.
Get full cloud cost transparency, endless optimization scenarios, and engage engineers in cost-saving processes
OptScale assists companies in building efficient IT workload usage by providing free cost optimization for Kubernetes, AWS, MS Azure and Alibaba workloads. The solution offers an abundance of optimization scenarios, anomaly detection, full cost transparency, in-depth cost analysis, budget allocation, and resource lifecycle management. OptScale monitors IT security issues, and applications behavior, identifies bottlenecks and wastage, recommends performance enhancements such as VM rightsizing, CI/CD job resource reflavoring and reducing cross-region traffic.
OptScale continuously observes cloud cost and resource utilization to identify anomalies and spikes. Real-time monitoring detects cost anomalies and allows companies to take action quickly in order to prevent unexpected expenses. Instantaneous alerts to resource owners enable the opportunity to avoid budget overruns, and to engage the engineering team in cost-saving processes, in which every team member is responsible only for the cloud resources they use.
OptScale quickly plugs into any tool chain, thanks to the support of Jira, Jenkins, Slack, GitLab and GitHub. Assign IT environments to any task using Jira. Сreate a simple schedule, plan and book IT environment within your R&D teams to avoid conflicts via Slack. Receive real-time notifications about IT environment availability, expired TTLs or cloud budget exceeds in a familiar interface. Export or update an IT environment and deployment information from your Jenkins pipelines.
Get deep insights into IT infrastructure costs via a single dashboard and improve R&D process efficiency
Track IT resource usage, book and discover a simple way to acquire and release resources, and organize simultaneous shared access with OptScale. Our solution enables you to eliminate spreadsheets, chats and complicated tools to help easily identify R&D and test environment availability, and software versions deployed. Any distributed team can easily book clusters, VMs, or any other IT resources, and avoid all of the complexities of test environment utilization.
Deep insights into actual VM utilization, consolidated data from dozens of cloud accounts, and various cloud or Kubernetes providers are easily accessible via a single OptScale dashboard. OptScale provides full cost transparency across AWS, MS Azure, Alibaba Cloud, and Kubernetes clusters. Granular visibility and one-click access to public clouds’ key resource metrics make it effortless to keep cloud costs under control.
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
Discover how OptScale helps companies quickly increase FinOps adoption by engaging engineers in FinOps enablement and cloud cost savings
