Operations | Monitoring | ITSM | DevOps | Cloud

Site Reliability Engineering (SRE) 101: Everything You Need to Know | Harness Blog

A single second of latency can cost e-commerce sites millions in revenue, while just minutes of downtime trigger customer churn that takes months to recover. Modern users expect instant responses and seamless experiences, making reliability a competitive feature that directly impacts business outcomes. Site Reliability Engineering treats operations as a software problem rather than a manual discipline. SRE applies engineering principles to achieve measurable reliability through automation.

Your AI Agents Are Only As Good As Your Data | Harness Blog

Every agent demo follows the same arc. The agent calls an API. A deployment triggers. A ticket gets created. The audience is impressed. Then someone asks a real question: "Which regions had the highest order failure rate this quarter, and are any of them linked to vendor SLA breaches?" That question crosses four entity types — orders, fulfillment records, vendors, SLA contracts.

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.