Operations | Monitoring | ITSM | DevOps | Cloud

An Introduction to Disaster Recovery Testing: What You Need to Know in 2026 | Harness Blog

Businesses today run on computers, cloud systems, and digital tools. One big failure can stop everything. A cyber attack, a power outage, or a software glitch can shut down operations for hours or days. Disaster recovery testing is how you prove you can restore critical services when the unexpected happens. 
 In 2026, with hybrid and multi-cloud estates, distributed data, and tighter oversight, this is not a once-a-year fire drill.

How to Install Terraform for Secure and Scalable Infrastructure Automation | Harness Blog

If your Terraform install is insecure or inconsistent, it can quickly slow down your delivery. A single compromised file or a misconfigured backend can stop deployments for many services. Teams that set up Terraform correctly from the start can scale easily and avoid compliance issues.

Beyond the Big Bang: De-risking Cloud Migrations with Progressive Delivery | Harness Blog

At 2 am, your migration goes live. By 2:07, error rates spike, and rollback isn’t an option. Cloud migrations, API rewrites, and architecture transformations rarely fail because of bad code. They fail because of how that code is released. Most teams still rely on a “big bang” cutover where infrastructure, services, and user-facing changes go live at once. This concentrates risk into a single moment.

RTO and RPO in Disaster Recovery Explained | Resilience Testing | Harness

Struggling with disaster recovery planning? Learn the simple difference between RTO and RPO, the two most important metrics every developer, DevOps engineer, and SRE must understand. RTO (Recovery Time Objective) tells you exactly how long your systems can stay down before it hurts your business. RPO (Recovery Point Objective) shows how much recent data you can afford to lose in an outage.

From Deployment to Confidence: Why Continuous Verification Is the Missing Piece in Modern CD Pipelines | Harness Blog

Modern engineering teams have become exceptionally good at shipping software quickly. With modern CI/CD platforms, what once required careful coordination, late-night release windows, and layers of approvals now happens almost invisibly. Pipelines execute in minutes. Releases flow continuously. The friction that once slowed everything down has been engineered away. From the outside, it looks like progress in its purest form. Automation removed bottlenecks. Cloud infrastructure removed limits.

Building for the Agentic Era: Engineering Excellence at Harness | Harness Blog

As AI agents become ubiquitous across the software development lifecycle, engineering teams must do more than adopt new tools; they must redesign how they build, verify, and operate software. This post distills the vision, priorities, and best practices that guide engineering excellence at Harness. Different products sit at the heart of the Harness platform.

What is Terragrunt and how does it simplify Terraform Workflows? | Harness Blog

Managing Terraform across dozens of AWS accounts becomes a maintenance nightmare fast. Teams end up copy-pasting the same backend configurations, provider blocks, and variable definitions hundreds of times. Terragrunt acts as an orchestrator above Terraform, eliminating this duplication through shared configuration inheritance and dependency management. When financial services teams manage 200+ microservices across multiple environments, these DRY patterns become essential for governance and consistency.

Chaos Engineering vs. Traditional Testing: What's the Difference? | Resilience Testing | Harness

Stop treating system outages like surprises and start preparing for them. While traditional software testing is the bedrock of development, using unit, integration, and regression tests to verify that code meets specific requirements, it only accounts for what we expect to happen. Chaos Engineering takes a different approach by shifting the focus from bug prevention to system resilience. Instead of asking "does this work?", Chaos Engineering asks "how does this survive?" by injecting real-world turbulence like network latency or pod failures directly into production-like environments.

What Does Load Testing Measure? (Top 5 Performance Metrics) | Resilience Testing | Harness

Before you deploy, you need to know if your application can handle real-world traffic. In this video, we break down the 5 essential load testing metrics: Response Time (latency), Throughput (requests per second), Error Rates (system stability), Resource Utilization (CPU/Memory bottlenecks), and User Concurrency. Whether you're into Software Engineering, DevOps, or SRE, understanding these System Design fundamentals is the only way to prevent server crashes and ensure Software Scalability.

The Complete Guide to Feature Testing for Modern DevOps Teams | Harness Blog

Today’s teams are challenged to ship fast without breaking things. Traditional deployment strategies tie every code change directly to user exposure, forcing teams to trade velocity for safety and live with stressful, all-or-nothing releases. Feature testing changes that. In modern DevOps, you don't have to cross your fingers during a big-bang rollout.