Operations | Monitoring | ITSM | DevOps | Cloud

This video provides a clear and practical walkthrough of the Harness Artifact Registry, demonstrating how to work with Docker images in a secure and reliable manner. You will see the complete flow of pushing images into the registry and pulling them back for builds, deployments, and platform workflows. The goal is to help developers and platform engineers understand how the registry fits into everyday delivery pipelines.

Learn how to test your application's resilience to network issues with Harness Chaos Engineering. This tutorial covers essential network chaos experiments. Discover how to simulate real-world network conditions to identify weaknesses and validate your system's behavior under degraded connectivity.

Learn how to test your system's resilience against critical infrastructure failures. This tutorial demonstrates how to simulate zonal and regional outages to validate your high availability setup, plus how to test SSL/TLS certificate expiration scenarios. Essential for ensuring your applications can handle real-world failure conditions and maintain uptime during certificate-related issues.

Learn how to leverage Chaos Hub in Harness Chaos Engineering to accelerate your resilience testing. This tutorial covers browsing the Chaos Hub for pre-built experiments, understanding experiment templates, and two key workflows: importing experiments as local copies for customization or referencing them directly from the hub. Perfect for teams looking to quickly implement chaos experiments without building from scratch.

AI didn’t just change how we write code. It changed everything that comes after. Application teams are shipping more code than ever with AI — but 70% of the work still happens after coding: testing, security, deployment, optimization, and keeping everything moving. As coding gets faster, delivery becomes the bottleneck. That’s where Harness comes in.

In this special ShipTalk episode, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with @Harnessio Field CTO Nick Durkin for spicy—but practical—2026 predictions across AI, software delivery, DevSecOps, MLOps, and developer experience. Will we see the first “AI-caused meltdown”? Are AI “confidence scores” even trustworthy? Is 2026 the year of AI cleanup crews and recovery engineering? Nick’s take: the answer isn’t more gates—it’s guardrails, policy in the pipeline, and teams operating with the same “rulebook.”

In this episode of the ShipTalk Podcast, host Dewan Ahmed (Principal Developer Advocate at Harness) sits down with Evgeny Ilinykh (Founder of GuidedMind.ai and former Tesla Engineering Manager) to move past the AI hype and get into the engineering reality of Retrieval-Augmented Generation (RAG). If your AI agents are hallucinating, the problem probably isn't your model—it’s your retrieval layer. Evgeny breaks down how to turn the "black box" of LLMs into a transparent, production-ready system that developers can actually trust.