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'
OptScale is designed to enhance the сooperation of engineers and finance professionals, ease R&D processes and engage the whole team in FinOps & cost optimization. OptScale covers any set of tools to meet needs of both departments.
Quick plug into any toolchain
Scheduled environment usage
Full historical deployment data
Real-life notifications and updates
Integration of OptScale and Slack allows to schedule and book IT environment usage, establish effective resource lifecycle management. Scheduled resource utilization is ideal for distributed teams – book clusters, VMs or any other resources and forget all the complexities and conflicts. Get real-time notifications associated with environment usage, updates, availability, deployments, TTLs or budget constraints in Slack.
OptScale gets detailed information regarding environment metrics and synchronizes it with Jira. Assign the exact test environment to any task to speed up an R&D or a QA flow. Environment version, necessity of updates, availability, release and deployment information are displayed in a Jira ticket to save your time and prevent mistakes.
Export or update environment metrics and deployment information from your Jenkins pipelines. Retrieve the most up-to-date details about the exact environment for further usage in Jira tasks. The full history of the deployed versions will eliminate common challenges that any team might face on a daily basis.
Quick GitLab and OptScale integration ensures accurate real-time information regarding an IT environment and CI/CD pipelines: its owners, availability, statuses and deployed software versions.
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
