Modernizing Jenkins Pipelines for Multicloud with CD Automation
Jenkins is widely adopted for continuous integration (CI). Many organizations extend Jenkins pipelines with scripts and plug-ins to perform continuous delivery (CD) and deployments. Whether deploying to Kubernetes, VM, hybrid or multi-cloud environments, there is a better approach to implementing CD on top of Jenkins than using scripts and manual processes.
Automating CD processes using AI can increase the velocity and accuracy of releases, improve the productivity of DevOps teams and eliminate manual Jenkins deployment scripts. In addition, many organizations face challenges with achieving regulatory and security compliance and performing audits. Automating CD with AI and deploying a central policy engine can help to enforce regulatory and security requirements and enable organizations to conduct audits easily.
Modern CD solutions—those that incorporate AI and include open tool integration layers—can allow developers and DevOps teams to continue using the tools they know and love. Deep toolchain integrations provide real-time insights and diagnostics correlated with pipelines, which speeds approvals, verifications and triage activities. Modernizing your Jenkins CI/CD pipelines with CD automation offers key capabilities your teams need for software delivery success.
In this webinar you will learn how to:
- Eliminate manual Jenkins deployment scripts
- Get deep, real-time data intelligence from your existing toolchain
- Increase the velocity and accuracy of software delivery through automation
- Increase developer and DevOps productivity
- Automate organization-wide security and regulatory compliance policies and audits
Ashley Owen, Head of Product Marketing, OpsMx
Ashley heads the product marketing team at OpsMx. He is an award-winning global product development strategist and influencer with more than 20 years of proven ability to recognize and capitalize on market opportunities and trends, impact the bottom line through strategic planning, trend analysis and forecasting, drive product roadmap and delivery, and advance sales execution and customer adoption.
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.
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