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:
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.
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Always add key takeaways. Something like this....In this session, you’ll learn about: