Automating Deployment Verifications for Kubernetes Applications with Argo Rollouts
Companies use the GitOps delivery model to deploy Kubernetes applications faster. DevOps engineers use the popular GitOps tool Argo CD for rapid deployments. However, delivering safe, secure apps into production without risk requires intelligent automation of the software delivery workflow. Continuous learning powered by AI and machine learning can ensure the release workflows improve over time, resulting in continuing improvements in reliability, software quality and risk reduction.
This webinar will teach you how to make Argo more effective by applying intelligent automation to deployment verifications. This can further enhance software delivery practices when combined with advanced deployment strategies such as blue-green, canary and progressive deployments with Argo Rollouts. This session will highlight how you can leverage intelligent automation to perform reliable risk assessments during deployments and minimize product failures by:
- Applying machine-learning based analysis without depending on ad hoc or primitive thresholds-based metrics analysis
- Integrating intelligent automation with the vast data sources of logs and metrics in the DevOps toolchain
- Automating decisions for faster rollback or roll-forward
- Leveraging advanced diagnostics and triage of issues for more immediate remediation
GOPINATH REBALA, CTO, 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. He 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.
MARK LEVY, Sr. Director of Product Marketing, OpsMx
Mark loves to learn, practice, discuss agile, devops, devopsculture, lean, softwaredelivery, and continuousdelivery. Mark has over 30+ years of experience in enterprise software focusing on application development, software delivery, and IT operations. Outside of work, Mark enjoys crossfit, martial arts, and playing his guitar.