Operations | Monitoring | ITSM | DevOps | Cloud

Building Governance, Auditability, and Visibility into Database DevOps | Harness Blog

Database changes are inherently complex: coordinating schema updates, managing risk, and avoiding downtime all require care. Even when teams improve how they deliver those changes, governance often remains inconsistent, manual, and reactive. In many environments, governance is treated as a separate layer around deployment. Policies are applied unevenly, approvals become bottlenecks, and audit evidence is assembled after the fact, creating gaps in enforcement and increasing operational risk.

Why DR Testing Can No Longer Be an Afterthought | Harness Blog

Regular DR testing is no longer a compliance checkbox — it is a critical engineering discipline that determines whether an organisation can survive a real cloud outage with its services and revenue intact. As the AWS Middle East incident demonstrated, regional cloud failures can strike without warning and defeat standard redundancy models, making untested DR plans dangerously unreliable.

Unlocking Security Potential for AI: Introducing the Harness WAAP MCP Server | Harness Blog

Security teams face overwhelming amounts of data and complex interfaces, making it hard to access critical insights. AI tools promise solutions, but integration remains difficult as time ticks away and leadership wants the latest data to inform risk decisions. Most security platforms lack seamless integration, slowing access to important data and hindering AI-powered workflows.

Testing AI with AI: Why Deterministic Frameworks Fail at Chatbot Validation and What Actually Works | Harness Blog

Chatbots are becoming ubiquitous. Customer support, internal knowledge bases, developer tools, healthcare portals - if it has a user interface, someone is shipping a conversational AI layer on top of it. And the pace is only accelerating. But here's the problem nobody wants to talk about: we still don’t have a reliable way to test these chatbots at scale. Not because testing is new to us. We've been testing software for decades.

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.

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.

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.