Operations | Monitoring | ITSM | DevOps | Cloud

Why Connected Platforms Will Power the Next Generation of AI in Engineering | Harness Blog

AI is quickly becoming part of the engineering workflow. Teams are experimenting with assistants and agents that can answer questions, investigate incidents, suggest changes, and automate parts of software delivery. But there is a problem hiding underneath all of that momentum. Most engineering environments were not built to give AI the context it needs. In many organizations, the service catalog lives in one place. Deployment data lives in another. Incident history sits in a separate system.

Load Testing Vs Stress Testing | Resilience Testing | Harness

Load testing and stress testing are two important parts of performance testing, but they serve very different purposes. Load testing checks how your application behaves when many users access it at the same time under normal or expected conditions. It helps you understand if your system can handle real-world traffic smoothly without slowing down.

Enable self-service environments with Harness Internal Developer Portal

Learn how to enable self-service environments with an internal developer portal (IDP) and CI/CD automation. You’ve automated deployments with Harness CD, but what about the environments those deployments run on? In this quick demo, see how Harness Environment Management completes the picture by making environments self-service, standardized, and fully lifecycle-managed. Together, CD + Environment Management close the loop on modern software delivery.

What is Chaos Engineering? Explained in 60 seconds | Resilience Testing | Harness

Discover how leading engineering teams proactively build rock-solid applications using Chaos Engineering. Learn why waiting for real outages is risky and how intentionally injecting controlled failures like pod crashes, network latency, and node restarts helps uncover hidden weaknesses before they impact your users. In this short, explore the simple yet powerful practice that turns fragile systems into resilient ones and how Harness makes running chaos experiments effortless and safe with its intuitive Resilience Testing module.

How to Implement Self-Service Infrastructure Without Losing Control | Harness Blog

Self-service infrastructure replaces ticket queues with controlled, automated workflows so developers can get what they need safely and on demand. Policy-as-code, standardized templates, and an Internal Developer Portal (IDP) provide guardrails that maintain security, compliance, and cost control. You can demonstrate ROI in 90 days by starting with a single golden path and measuring adoption, speed, and policy outcomes. If platform teams are buried in tickets, they are not operating a control plane.

How to Build a Developer Self-Service Platform That Actually Works | Harness Blog

Your developers are buried under tickets for environments, pipelines, and infra tweaks, while a small platform team tries to keep up. That is not developer self-service. That is managed frustration. If 200 developers depend on five platform engineers for every change, you do not have a platform; you have a bottleneck. Velocity drops, burnout rises, and shadow tooling appears. Developer self-service fixes this, but only when it is treated as a product, not a portal skin.

Deterministic by Design: How Harness Grounds AI Agents in Structured Data | Harness Blog

When AI agents operate across a multi-module platform like Harness (from CI/CD to DevSecOps to FinOps), the number one goal is to give you answers that are correct, consistent, and grounded in real data. Getting there requires a deliberate architectural choice: when a question can be answered from structured platform data, the agent should use a schema-driven Knowledge Graph rather than raw API calls via MCP. The principle is simple: if the data is modeled, retrieval should be deterministic.

Phil Christianson on Balancing Innovation and Reliability in Modern Product Teams | Harness Blog

At SREday NYC 2026, the ShipTalk podcast spoke with Phil Christianson, Chief Product Officer at Xurrent, for a leadership perspective on the intersection of product strategy, engineering investment, and platform reliability. While many of the conversations at the conference focused on tools, automation, and incident response, Phil offered a view from the C-suite level, where decisions about engineering priorities and R&D investment ultimately shape how reliability practices evolve.

AI Demos Are Easy. Enterprise AI Is Not. | Harness Blog

‍Why 90% of AI prototypes never make it to production, and what to do about it. Every week, someone on my team shows me a demo that looks incredible. An agent that writes deployment pipelines. A chatbot that triages incidents. A copilot that generates test cases from Jira tickets. The demo takes 20 minutes. The audience claps. Everyone leaves convinced we're six weeks from shipping it. We're not.

Ansible vs Terraform Explained: Key Differences for Modern Infrastructure Automation | Harness Blog

If DevOps teams mix up the roles of Ansible and Terraform, deployment pipelines can become unreliable. Manual handoffs slow down changes, and audits may find gaps where responsibilities overlap. Each tool solves different problems, so using them correctly avoids delays and compliance risks. Are you dealing with scattered provisioning and configuration workflows?