Plutora enhances data correlated across the toolchain with pre-built analytics and metrics focusing on key factors of your delivery velocity. Visualize metrics to evaluate software delivery as a system to drive out waste, identify constraints, and compare value stream maps between teams and their own history.
By improving interaction between teams, systems and processes, work is naturally more efficient, faster, and higher quality. Identified choke points can be evaluated, automated, and verified faster once addressed with the built-in performance and stability metrics.
Plutora interconnects and normalizes data across the toolchain providing complete insights into the delivery process from ideation to production and across the entire enterprise portfolio of products. We combine and sync data between systems such as project & portfolio, feature management, releases and delivery schedules, products and projects, test environments, test plans & activities, operations management, and other engineering tools such as build, CI, deployment, and infrastructure.
Because our platform sits on top of your existing tools, you can see everything going on in each team and every product – regardless of their methodology, governance required, and technology. You will be able to answer questions such as “What is the status of my epics?” and “What is the quality of our application delivery?”
Because of the normalized structure around releases, we can interconnect your existing processes and tools at any point of Agile and DevOps maturity. You’ll incorporate what-if analysis and governance activities increasing each team’s adoption along the way. Collaboration is implicit as the framework integrates updates back into the development and operation toolchains. Utilize the deep metrics to prove experiments from iteration to iteration and from team to team.
Define and schedule hierarchical releases with phases, dependencies, criteria gates and milestones. Ensure compliance through approvals, adherence of criteria gates and by integrating with each team’s development toolchains regardless of their development methodology. Coordinate dependent releases and impacted projects and systems. Plan, rehearse, and execute deployment plans that mix manual and automated cut-over steps ensuring maximum velocity regardless of the level of automation.