Deploying Applications Safely with Argo and Spinnaker
GitOps is becoming the standard delivery model for deploying Kubernetes applications faster. DevOps engineers use the popular easy-to-use GitOps tool Argo CD to deploy and manage their deployments.
However, delivering safe, secure apps into production without risk requires intelligent automation. Automation powered by AI/ML can ensure improved reliability, quality, and risk reduction.
This webinar will show you how to implement intelligent automation with Argo CD and OpsMx Autopilot. The session will highlight how you can perform intelligent risk assessments during deployments and minimize failures by:
- Machine-learning based analysis without depending on an ad-hoc or primitive threshold-based metric only analysis
- Integration with vast data sources of logs and metrics from the DevOps toolchain
- Automated decisions for faster roll-back or roll-forward
- Advanced diagnostics and triage of issues for more immediate remediation
Gopinath Rebala, CTO of OpsMx
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures of OpsMx Enterprise for Spinnaker.
Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well known leader in continuous delivery and in the Spinnaker community.
Previously, Gopi was a co-founder and CTO at N42, which delivered machine learning tools for improving reliability for large scale distributed systems.
Vasantha Kumar Narayan, Product Manager
Vasantha Kumar leads product management for AI and Analytics at OpsMx. He has 20+ years of experience in building AI and ML systems for enterprise IT.
His deep interest lies in technology development & product engineering. He is building ML-based intelligent risk assessment software in the DevOps space that enables teams to deliver software without human intervention.