How GitOps Boosts
Business Performance:
The Factsthe world against four key measures: lead time for new features, failure rate of code changes, frequency of deployment and the time it takes to restore service following an outage. In this white paper Operational (SDO) performance and are metrics where elite and high performance excelled: 1. Deployment frequency DORA found that the world’s best performing businesses deploy many times a day – from around 50 teams and their less successful counterparts. SDO Measure Elite High Medium Low Deployment frequency On-demand (multiple deploys per day) Between once per day and once per week Between once0 码力 | 9 页 | 506.50 KB | 1 年前3
GitOps on AWS:
Increase velocity of
your DevOps teamshow much faster you Git using DevOps and GitOps together Deployment/Cycle Time Deployment Frequency Change Lead Time Change Failure Rate MTTR vs. MTTF (mean time to recover/fail) P.3 Simplify software agent handled how those assets got deployed to Kubernetes. Deployment speed Deployment Frequency Time spent coding 50% 65% 75% faster increase more The GitOps Journey at Mettle by NatWest0 码力 | 10 页 | 2.41 MB | 1 年前3
Rafay DZone Refcard Gitops for kubernetes 2022Continuous deployment automation with integrated feedback and control loops speeds up your deployment frequency. Declarative definitions kept in Git allow developers to use familiar workflows, reducing the0 码力 | 8 页 | 1.35 MB | 1 年前3
共 3 条
- 1













