GitOps Shift: From Deployment to Continuous Promotion

GitOps has officially crossed into the mainstream. 🔄 According to this Techstrong TV conversation with Hong Wang, 67% of organizations are now running Argo CD in production, making Kubernetes deployment far less of the bottleneck than it once was. 🐙 The challenge is shifting. As AI accelerates development and increases deployment volume, the pressure is moving downstream into how software is promoted across environments in a way that is controlled, visible, and reliable. 🤖 In this discussion, Hong walks through how Kargo and continuous promotion are emerging as the next layer in modern delivery pipelines, along with how AI agents may start playing a role in managing that complexity without removing human oversight. 👥 Worth a watch if you are thinking about what comes next for GitOps and platform engineering. 👇 #GitOps #ArgoCD #Kargo #PlatformEngineering #CloudNative #AI

AI agents can take action. That changes everything - and most teams aren't ready for it. That's why we started Humans in the Loop - a video series for engineers and DevOps teams figuring out the agentic AI era without losing control of their systems. The first episode is out. Andrey Devyatkin and Fernando Gonçalves set the stage: what agentic AI actually means, why context is everything in infrastructure troubleshooting, and what tools like Cursor, MCP, Claude Code, and Amazon Q CLI mean for DevOps engineers today. https://lnkd.in/eiSbrP7Y

We are making a series of videos explaining concepts critical to understand when it comes to agentic AI and its application in DevOps. If you are starting up with magnetic AI those episodes are for you. We will transition to more advanced topics as we finish establishing a shared glossary and a common understanding. Stay tuned for more!

AI coding tools are undeniably speeding up development, but the rest of the delivery process is lagging behind. The 2026 State of DevOps Modernization Report from Harness compiles insights from 700 engineers, revealing that while AI is solving many challenges, it's also introducing new ones. 📄 Dive into the full report to explore AI's impact on DevOps: https://lnkd.in/eYu9PZNx

🚀 What if your CI/CD pipeline could fix itself? Modern pipelines are powerful—but also fragile. From flaky tests to config errors and dependency issues, even small failures can slow down releases and drain engineering time. In this blog, we explore how Self-Healing CI/CD Pipelines are changing the game 👇 ✨ Detect failures automatically 🧠 Analyze root causes using AI ⚙️ Apply fixes with minimal human intervention 🔁 Re-run and validate instantly Instead of manual debugging and repeated retries, teams can now focus on what truly matters—building and shipping faster. 💡 The future of DevOps isn’t just automation—it’s intelligent, self-correcting systems. 🔗 Read the full blog: https://lnkd.in/gHfpuSWu #DevOps #CICD #AI #Automation #SoftwareDevelopment #TechInnovation #Engineering #GitHub #OpenAI #WingmanPartners

Pleased that the SonarQube Remediation Agent, which is the new incarnation of the previous AutoCodeRover (now Sonar) agent from National University of Singapore has been successfully transitioned into agent fixing code quality / security issues in real codebases. It won the AI tech award 2026 in AI for Devops category to be given out in San Francisco next month, see https://lnkd.in/gF94C5w5 It was also ranked by Fast Company as a next big thing in applied AI in 2025, see https://lnkd.in/gHc6B6YC The agent also occupies the top-slot among all agents in SWE-bench leaderboard (see "all agents" under SWE-bench full, SWE-bench verified !) https://www.swebench.com/ Very pleased to see our local research from National University of Singapore made absolutely good at global stage ! NUS: Yuntong Zhang, Haifeng Ruan, Martin Mirchev, Ridwan Shariffdeen Sonar: Ridwan Shariffdeen, Artem Ivanov, Harry Wang, Tariq Shaukat #AI #Software #NUS #Research #Innovation #Enterprise

Just explored what Autonomous Kubernetes actually looks like in practice and it’s closer than most teams think. Thanks to Cast AI and Žilvinas Urbonas for leading this amazing workshop! I got to experiment with AI agents that operate directly on Kubernetes infrastructure, interpreting cluster signals and taking action across debugging, scaling, and workload optimization.  Through hands-on scenarios I explored agents that: ★ Diagnose cluster issues through Kubernetes API access ★ Identify and resolve resource constraints and workload failures ★ Adjust scaling policies based on workload behavior ★ Apply production optimizations and sync fixes back to infrastructure as code #MLOps Also special thanks to Dan Baker for this opportunity!

AI is showing up everywhere in DevOps—but rarely as a connected system. Code, testing, deployment, and ops are evolving with AI, but the real challenge is how they come together in production. On April 25, Harness and The AI Collective are bringing together practitioners shipping AI across the lifecycle and navigating real production complexity. Register to hear what actually works when AI moves into production: https://lnkd.in/gNAhE-3S

AI is showing up everywhere in DevOps—but rarely as a connected system. Code, testing, deployment, and ops are evolving with AI, but the real challenge is how they come together in production. On April 25, Harness and The AI Collective are bringing together practitioners shipping AI across the lifecycle and navigating real production complexity. Register to hear what actually works when AI moves into production: https://lnkd.in/gZZsJvKt

Sunday thought. AI governance isn’t a checkbox exercise. Just had a great discussion with Roman Trofimov about the recent Claude token-burning story circulating on Reddit. One developer reported the system making dozens of tool calls in a single turn, consuming large amounts of tokens while exploring context. What I like most is how our team reacts. No waiting for formal reviews. People raise signals, we discuss, and the system gets tuned. Self-organizing teams are the best control system for fast-moving AI. Looking forward to continuing this tomorrow with the DevOps team. #AIGovernance #Strikersoft #DevOps #SelfOrganizingTeams