Ship Happens

Why CI/CD Is Broken (And How to Fix It) | Jignesh Patel, Harness

Episode Summary

CI/CD is broken in most enterprises. Jignesh Patel explains how platform engineering, AI, and better DevOps practices can fix it.

Episode Notes

In this episode of Ship Happens, host Per Krogslund sits down with Jignesh Patel, Field CTO at Harness, to unpack why CI/CD pipelines break down at scale—and what it takes to fix them.

Drawing from his experience leading DevOps and cloud teams at major enterprises, Jignesh explains how fragmented tools, siloed teams, and heavy change management processes create what he calls “spaghetti pipelines”—complex, brittle paths to production that rely too heavily on individual expertise.

They explore how DevOps should be viewed as a continuous journey focused on faster feedback loops, automation, and shifting security left. Jignesh breaks down how modern platforms like Harness aim to unify build, test, deploy, and security workflows—while introducing AI-assisted pipeline generation with guardrails to improve both speed and reliability.

The conversation also dives into incident response, automated rollbacks, continuous verification, and why governance and human oversight are still critical—even as AI accelerates development workflows.

For teams struggling with delivery bottlenecks, reliability issues, or scaling DevOps practices, this episode offers a practical look at what’s actually working in the enterprise today.

In This Episode You’ll Hear:

• Why CI/CD pipelines break down in large organizations
• What “spaghetti pipelines” look like—and how to fix them
• How platform engineering simplifies DevOps at scale
• The role of AI in generating and optimizing pipelines
• Why DevSecOps requires shifting security earlier in development
• How automated rollback and verification improve reliability
• Why governance and human oversight still matter in AI workflows
• What metrics actually matter for developer experience and delivery

Episode Timestamps:

(00:00) Enterprise “Spaghetti Maps” in CI/CD

(01:36) Podcast Intro & Guest Overview

(02:32) Jignesh Patel’s Career Path to Field CTO

(05:23) Proving DevOps ROI & Budget Value

(06:05) Product Team Expectations vs Reality

(08:48) Why CI/CD Pipelines Break Down

(11:08) DevSecOps & Shifting Security Left

(13:02) Fixing Release Chaos in Enterprises

(15:08) What Harness Actually Does

(19:17) Unified DevOps Platform vs Tool Sprawl

(20:48) Reliability Engineering in the AI Era

(21:50) Faster Rollbacks & Incident Recovery

(22:34) Continuous Verification Explained

(23:24) How AI Can Increase Chaos

(24:40) Practical AI Use Cases for Developers

(26:28) Governance, Guardrails & AI Safety

(29:04) Reverse Demos & Hidden Workflow Gaps

(31:43) Measuring Platform Adoption Success

(33:24) Cloud Repatriation Trends Explained

(34:55) AI Spend & ROI Reality Check

(36:34) Risk, Accountability & AI Ownership

(39:10) DevOps & AI: Next 5 Years Predictions

(41:27) DevOps Strategy Advice for Teams

(42:53) Closing Thoughts & Takeaways

About the Guest:
Jignesh Patel is the Field CTO at Harness, where he helps enterprises modernize software delivery through platform engineering, DevOps transformation, and AI-driven automation. With leadership experience at companies like United Airlines and Morningstar, Jignesh brings deep expertise in cloud infrastructure, CI/CD systems, and enterprise-scale DevSecOps. He is a strong advocate for simplifying delivery pipelines, improving developer experience, and building reliable, secure systems through better platform design.

Links & Resources:

Per Krogslund on LinkedIn
Jignesh Patel on LinkedIn
Learn more about Harness
Learn more at Docker.com