ai1 min read
AI Tools for DevOps Engineers
Leverage AI for DevOps tasks including infrastructure as code and deployment automation.
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Infrastructure
15 articles
terraform5 min read
Terraform Complete Guide 2026: Infrastructure as Code for AWS, GCP, and Azure
Master Terraform in 2026: provision AWS infrastructure, manage state, use modules, workspaces for environments, remote state with S3, CI/CD integration, and Terraform Cloud.
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ansible7 min read
Ansible Configuration Management 2026: Automate Everything from Servers to Kubernetes
Master Ansible in 2026: inventory management, playbooks and roles, idempotent server configuration, Ansible Vault for secrets, dynamic inventory from AWS, Kubernetes operator, Galaxy roles, and CI/CD integration with GitHub Actions.
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terraform2 min read
Terraform Complete Guide — Infrastructure as Code
Master Terraform: state management, modules, and provisioning infrastructure across cloud providers.
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platform-engineering2 min read
Platform Engineering — The Future of DevOps
Platform Engineering: building internal platforms for developer productivity and reliability.
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litellm8 min read
AI Gateway With LiteLLM — Unified Interface for 100+ LLM Providers
Deploy LiteLLM as your AI gateway. Route requests across OpenAI, Anthropic, Cohere, self-hosted models. Implement fallback, rate limiting, and budget controls.
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orchestration11 min read
AI Workflow Orchestration — Temporal, Prefect, and Airflow for AI Pipelines
Orchestrate AI pipelines with Temporal for durable workflows, Prefect for data + AI, or Airflow for batch jobs. Handle retries, human approval, and cost tracking.
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encore7 min read
Encore.ts — Infrastructure From Code, or How to Never Write Terraform Again
Encore.ts lets you declare infrastructure in TypeScript. Learn APIs, databases, message queues, and how to deploy without Terraform.
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infrastructure8 min read
Testing Infrastructure as Code — Terratest, Policy-as-Code, and Shift-Left IaC
Test Terraform modules with Terratest, enforce policies with OPA/Conftest, scan with tfsec, and catch infrastructure bugs in CI before deployment.
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kubernetes7 min read
Running LLM Workloads on Kubernetes — GPU Scheduling, vLLM, and Autoscaling
Deploy inference workloads on Kubernetes with vLLM, GPU scheduling, autoscaling, and spot instances for cost-effective large-language model serving.
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llm8 min read
LLM Cost Optimization — Cutting Your AI Bill by 80% Without Degrading Quality
Master token counting, semantic caching, prompt compression, and model routing to dramatically reduce LLM costs while maintaining output quality.
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architecture13 min read
LLM Production Architecture — A Complete Backend Design for AI-Powered Applications
Comprehensive architecture for production LLM systems covering request pipelines, async patterns, cost/latency optimization, multi-tenancy, observability, and scaling to 10K concurrent users.
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MLOps10 min read
MLOps for LLMs — CI/CD Pipelines for Model Training, Evaluation, and Deployment
End-to-end MLOps infrastructure for LLMs including CI/CD pipelines, automated evaluation, staging environments, canary deployments, and production monitoring.
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pulumi7 min read
Pulumi With TypeScript — Infrastructure as Real Code, Not YAML
Define AWS infrastructure with TypeScript instead of HCL. Loops, conditions, and reusable components turn IaC into maintainable code.
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terraform8 min read
Terraform Modules at Scale — Reusable, Versioned Infrastructure Components
Build reusable Terraform modules with versioning, testing, and composition. Scale infrastructure across accounts and regions without code duplication.
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