In today’s fast-paced digital era, AI-powered tools have become a cornerstone for enhancing efficiency and speed in DevOps processes. In this article, Khun Game, Karanyot Russamee, Senior Platform Services Engineer behind the cutting-edge xPlatform (DevOps as a Service) solution at SCB TechX, introduce AI tools every DevOps Engineer must know. Discover how these tools elevate operations to meet the demands of the digital age.

1. ChatGPT: Empowering DevOps Engineers with capabilities such as writing scripts for CI/CD Pipelines, Ansible Playbooks, and Kubernetes Manifests. ChatGPT also excels in answering technical queries, from system configurations to debugging code, accelerating development and reducing troubleshooting time.
2. AI-Powered Monitoring Tools (Datadog and New Relic): AI-driven monitoring tools like Datadog and New Relic analyze logs, metrics, and traces to detect and alert potential issues before they arise. This helps minimize downtime and significantly enhances system stability.
3. Kubescape: This open-source AI tool ensures Kubernetes cluster security by analyzing misconfigurations and checking for policy compliance. It enables developers to proactively address vulnerabilities and fortify their systems.
4. Terraform GPT Plugins: Simplify Infrastructure as Code (IaC) development with AI that writes Terraform code, analyzes existing configurations, provides optimization recommendations, and manages complex setups with ease and speed.
5. Warp — AI-Enhanced Terminal: Warp integrates AI to suggest context-aware commands for tools like Docker, Git, and Kubernetes. This makes working in the command line faster and more intuitive, allowing DevOps Engineers to execute tasks seamlessly.