19 articles
AI tools accelerate DevOps work by generating Dockerfiles, GitHub Actions workflows, Kubernetes manifests, and Terraform configs from natural language descriptions. This guide covers practical DevOps AI workflows with real configuration examples.
Master Terraform in 2026 with real HCL examples for AWS infrastructure: VPC, S3, CloudFront, RDS, and ECS. Covers state management, modules, workspaces for multi-environment setups, and CI/CD integration.
Master Ansible in 2026 with playbooks, roles, Ansible Vault for secrets, dynamic AWS inventory, Kubernetes module deployments, and GitHub Actions CI/CD integration. Includes production-ready examples.
Master Terraform for cloud infrastructure provisioning: HCL syntax, state management, modules, remote backends, and workspace strategies for AWS, GCP, and Azure environments.
Master Ansible for agentless infrastructure automation: inventories, playbooks, roles, variables, vault secrets, and idempotent configuration management across Linux and cloud environments.
Master AWS EC2 from launch to production: instance types, AMIs, security groups, Elastic IPs, Auto Scaling Groups, and cost optimization strategies for cloud engineers and developers.
Compare AWS CloudFormation and Terraform: syntax, state management, multi-cloud support, ecosystem, and practical guidance for choosing the right Infrastructure as Code tool for your team.
A comprehensive guide to SSH key generation, configuration, and hardening for DevOps engineers — covering Ed25519 keys, SSH config files, agent forwarding, key rotation, and server hardening. For engineers managing secure server access at scale.
A comprehensive guide to Platform Engineering — what it is, how it differs from DevOps, and how to build an Internal Developer Platform using Kubernetes, Backstage, Terraform, and GitOps. For platform engineers and DevOps leads investing in developer experience.
Deploy LiteLLM as your AI gateway. Route requests across OpenAI, Anthropic, Cohere, self-hosted models. Implement fallback, rate limiting, and budget controls.
Orchestrate AI pipelines with Temporal for durable workflows, Prefect for data + AI, or Airflow for batch jobs. Handle retries, human approval, and cost tracking.
Encore.ts lets you declare infrastructure in TypeScript. Learn APIs, databases, message queues, and how to deploy without Terraform.
Test Terraform modules with Terratest, enforce policies with OPA/Conftest, scan with tfsec, and catch infrastructure bugs in CI before deployment.
Deploy inference workloads on Kubernetes with vLLM, GPU scheduling, autoscaling, and spot instances for cost-effective large-language model serving.
Master token counting, semantic caching, prompt compression, and model routing to dramatically reduce LLM costs while maintaining output quality.
Comprehensive architecture for production LLM systems covering request pipelines, async patterns, cost/latency optimization, multi-tenancy, observability, and scaling to 10K concurrent users.
End-to-end MLOps infrastructure for LLMs including CI/CD pipelines, automated evaluation, staging environments, canary deployments, and production monitoring.
Define AWS infrastructure with TypeScript instead of HCL. Loops, conditions, and reusable components turn IaC into maintainable code.
Build reusable Terraform modules with versioning, testing, and composition. Scale infrastructure across accounts and regions without code duplication.