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10 articles
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.