Technical

Parallel Execution in Modern CI: Best Practices & Results

Learn how parallel execution in CI reduces build times, controls cloud costs, and scales safely with test intelligence, caching, and governance.

Intelligent Caching for CI/CD Build Optimization

Intelligent caching for CI/CD reduces build times, lowers costs, and improves developer flow with smarter testing and parallel pipelines.

Zachary Gruenberg on Machine Identity Security in the Age of AI

Palo Alto Networks Solution Engineer Zachary Gruenberg joins the ShipTalk podcast at SREday NYC 2026 to discuss machine identity security, AI agents, and how SRE teams can manage identity sprawl.

CI Pipeline Optimization Guide for Platform Engineering Leaders

Make the most of your platform engineering pipeline. Using AI-powered CI, you can speed up builds, cut costs, and boost developer productivity.

CI/CD Tools: Basics, Features & How to Choose

Learn what CI/CD tools are, key features to compare, top examples, and how to choose the right platform to automate builds, tests, and deployments.

Resilience Testing Is Non-Negotiable in the Enterprise SDLC

Resilience testing is a continuous, core SDLC practice. By proactively validating systems against failures, load, and disasters, teams reduce risk, avoid resilience debt, and ensure reliable software delivery.

The Art of Prompting in AI Test Automation

Master the art of prompt engineering for end-to-end testing. This comprehensive guide reveals how to write precise, intent-driven prompts that eliminate flaky tests and build reliable AI-powered test automation.

Knowledge Graphs: The Backbone of AI-First Software Delivery

Why Platform and DevSecOps Teams Need a Knowledge Graph Before They Scale AI

Securing AI and Securing With AI: AI Security from Code to Runtime With Harness

Harness launches AI Security and Secure AI Coding to discover, test, and protect AI-native apps and AI-generated code across the DevSecOps lifecycle.

From Shadow AI to Full Visibility: Operationalising AI Security at Scale

How modern enterprises discover AI systems, understand sensitive data exposure, assess AI-specific risks, and integrate AI posture into security operations.

API Failure: 7 Causes and How to Fix Them

An API failure is any response that doesn’t conform to the system’s expected behavior. Learn seven API failures and how to fix them.

When Faster Code Starts to Break the Delivery System

AI is accelerating code generation, but is your delivery pipeline keeping up? Explore findings from the 2026 State of DevOps Modernization report on how to fix the "Velocity Paradox" and scale safely.