Technologies and Best Practices for Optimizing DevOps Velocity
To deliver on their digital transformation goals enterprise organizations seek to deploy high quality code, faster and more frequently.
But they face a complexity of organization, process and technology that can hinder this objective, slowing throughput and developer productivity.
DevOps Flow is a methodology for implementing high performance, Cloud-centric software development, based on a science developed by Toyoto to optimize factory lines and apply this to software engineering.
A repeatable best practice model based on insights from McKinsey, Microsoft, BMW, Scotiabank, Mastercard and many more.
Assessment and Metrics
Measure and monitor the throughput of DevOps processes, through high performance metrics.
Map workflow processes, identify and remediate bottlenecks to increase throughput capacity.
Cloud platform architecture that accelerates Continuous Deployment practices.
Value Stream Mapping
Value Stream Mapping to chart and understand the critical steps in a specific process, quantifying the time and volume taken at each stage, to identify key constraints like slow hand-off interactions.
Performance can be optimized through Flow Metrics, measurements to model the entire system – end-to-end – to understand how value flows and where it is constrained.
The DevOps Toolchain refers to the combination of tools and technologies used to progress code through the full life-cycle from development to production.
A Software Factory provides an overall metaphor for adopting insights from the world of manufacturing and applying automation practices to improve the ‘Developer Velocity Index‘.
Organizational models and process improvements for increasing DevOps capacity and quality.
Permutations of DevOps tools combined in a particular way to achieve a high velocity throughput.