Operations | Monitoring | ITSM | DevOps | Cloud

Open Source Liquibase MongoDB Native Executor by Harness | Harness Blog

Harness is strengthening the open Liquibase ecosystem by introducing a native MongoDB executor that removes long-standing limitations for Community Edition users. It enables teams to run MongoDB scripts, generate changelogs, and integrate database workflows into CI/CD without relying on paid extensions. The initiative reinforces open collaboration while making MongoDB-based database DevOps more accessible, consistent, and production-ready.

Make use of guardrail metrics and stop babysitting your releases

Modern CI/CD pipelines have automated the hard work of building, testing, and deploying our code. But for many teams, that’s where the automation stops. The most critical part of a release, turning a new feature on for real users, is still a stressful, manual process. An engineer cautiously ramps up traffic to 5%, then 10%. The whole team stares at dashboards, trying to see if anything breaks. If something does, they scramble to manually roll back.

CloudZero's FinOps Cost-Per-Unit Glossary

This glossary is a bookmarkable reference for cost-per-unit metrics in FinOps unit economics. It’s designed for engineering, finance, and FinOps teams that need a shared language for understanding how cloud costs behave as usage, customers, and products scale. The terms are organized by category and include real-world context.

The AI infrastructure gap: why agents fail on fragmented stacks

The initial hype of AI agents is hitting a hard reality: a clever prompt is not a production strategy. As organizations move from experimentation to operationalizing AI in 2026, a systemic bottleneck has emerged: It is not the model's intelligence; it is the model’s context and its access to the right tools. When an AI agent lacks access to live, grounded platform data, it guesses.

8 AI Video Generators for Marketing Agencies Ranked by Iteration Speed

Tuesday morning. A brief lands: ten ads due Friday-no crew, no studio. Yesterday that meant panic; today you open one of the fastest-iterating AI video generators, type a prompt, and watch a finished clip appear before the coffee cools. Speed is the new creative currency. Yet platforms differ. Some surface concept loops in seconds, others render polished talking-head explainers in minutes. Which tool truly wins the sprint from prompt to publish?

How Ecommerce Brands Are Using AI to Scale Faster and Spend Less

Running an ecommerce business has never been easy. Between managing inventory, writing product descriptions, handling customer service, and keeping up with marketing demands, the workload can feel endless. But something has changed in the last couple of years. Artificial intelligence has moved from being a buzzword in tech circles to becoming a practical, everyday tool that ecommerce brands of all sizes are using to grow without burning through their budgets.

Improving Business Efficiency Through Smarter Operational Control

Equipment sitting idle. Tools misplaced between sites. Staff spending their mornings tracking down resources that should be readily available. These scenarios drain productivity far more than most organisations realise. McKinsey Global Institute research found that employees spend an average of 1.8 hours every day searching for and gathering information they need to do their jobs. For teams dealing with physical equipment, that time multiplies when tools aren't where they should be. The solution isn't working harder. It's gaining better operational visibility.