Have you ever wondered why so many people are turning to the Cloud these days? It’s because it helps us work faster and more conveniently, plus we don’t have to worry about managing servers ourselves anymore.
Have you ever found yourself staring at endless Groovy scripts, Terraform configurations, or Ansible playbooks—thousands of lines of complex code—just to manage your CI/CD pipelines and provision infrastructure on AWS or Azure? These tasks can be intellectually stimulating, but they are also time-consuming and energy-draining.
Anyone working in DevOps knows our jobs are full of endless tasks — from complex, brain-intensive work to small, repetitive chores that eat up time but are still necessary. Things like deploying applications, analyzing logs, investigating issues, or monitoring systems.
But today, AI-Powered DevOps is making our working lives so much easier.
Did you know that Jira can also be automated to save time and improve efficiency? By using Jira API together with Webhook, you can cut down on manual work and speed things up significantly…
Everything changed when I learned about Low-Code and No-Code DevOps. It was like having an assistant that makes the difficult tasks much easier and more accessible.
Databricks has become the go-to platform for unifying data, AI, and analytics. But as projects grow, so does the challenge of managing jobs, pipelines, dashboards, ML models, and infrastructure consistently across dev, staging, and production.
That’s where Databricks Asset Bundles (DAB) come in.
Anyone working with multiple Kubernetes clusters: Dev, Staging, or Production, knows how difficult it is to manage everything using only Kubectl and numerous config files. That’s why we invited Toey, Platform Services Engineer, to share about Lens by Mirantis…
We’ve probably already heard about Amazon Bedrock from previous articles, but today I want to dive deeper into Amazon Bedrock Agent. In this era where AI is increasingly playing a role in daily life and business, we don’t just need an AI that answers questions like before; we need an “assistant” that can help us with real tasks.
Over 50% of production issues stem from configuration errors or human misconfigurations, according to several studies. But what if you could catch those mistakes before they happen? Meet Khun Tarn, our Platform Services Manager, who’s here to reveal how AI Approval Assistant is transforming the deployment workflow by automatically reviewing configurations in the CI/CD pipeline from environments and health checks to best practices before they cause trouble in production…
Robot Framework has long been a staple in UI test automation, but its keyword-driven approach struggles with modern web complexity, async behavior, and DevOps integration. Playwright offers a faster, more flexible, code-first alternative—with native support for modern browsers and clean, reusable syntax. Paired with GitHub Copilot and MCP integration in VSCode, test creation becomes intelligent and intuitive: describe the intent, and let Copilot generate the Playwright scaffolding. This shift marks a new era in test automation—faster, smarter, and fully aligned with today’s development workflows.
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