While cloud, containers, and microservices lead the way for the efficient scaling of DevOps in the cloud, vast complexity, dependencies, manual operations, and a lack of real-time information increase business risk.
- Problem triage time and MTTR exceed acceptable levels
- Lack of visibility into problems that impact prioritizing
- Similarities in engineering and prod on root cause but no coordination
- Scripts exist but are manually executed
Automation can help a host of common problems. It can build resiliency into your cloud pipeline, increase the quality of software performance in production, and lower your operational risk.
To learn more about the role of automation in DevSecOps, fill out the form below to download a complimentary copy of the whitepaper, “Building Resiliency into the DevOps Cloud: Using AI and Automation for Unbreakable Continuous Delivery.”
