Operations | Monitoring | ITSM | DevOps | Cloud

Most development teams today build everything around Git, and deploy with GitOps principles. Code sits in version controlled environments, changes go through PRs, and deployments are handled through modern CI/CD. That part is pretty standard at this point, especially when using a modern DevOps platform like Harness.

If you've ever run an ALTER TABLE on a busy MySQL table in production, you know the feeling. The change is small. The risk isn't. Long-running table locks, queued writes, application timeouts, replication lag, a five-minute migration that turns into a half-hour incident review. We're shipping an integration that takes that anxiety out of the loop. Harness Database DevOps now supports Percona Toolkit for MySQL as part of Liquibase-based schema management.

Application security testing tools promise coverage and accuracy, but teams often struggle just to get started. One of the biggest friction points in dynamic application security testing is configuring authentication correctly so a scanner can even access a target application, let alone API endpoints that power the functionality. Whether it’s API keys, bearer tokens, or custom auth flows, setting up authentication for scans frequently requires trial-and-error and engineering support.

Good agent infrastructure is less about exposing more endpoints and more about exposing a small set of composable, self-describing abstractions that minimize context overhead while encapsulating repetitive integration work.

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.

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.

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.

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.

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.

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.