When to use enterprise cloud AI platforms (Bedrock, SageMaker, Azure / Microsoft Foundry, Vertex AI) versus running open-weights models locally with Ollama, LM Studio, llama.cpp, or vLLM -- with a decision framework and trade-off tables.
Strapi configuration and deployment: environment config, database setup, server settings, production hardening, Docker, PM2, and cloud deployment.
Deploy your Java REST API to a VPS -- installing the JDK, running as a systemd service, configuring nginx as a reverse proxy, and HTTPS with Let's Encrypt.
Deploy your website to a Virtual Private Server -- server setup, SSH, nginx configuration, HTTPS with Let's Encrypt, and basic security hardening.
Deploying AEM projects varies significantly depending on the hosting model. AEM as a Cloud Service (AEMaaCS) relies on Cloud Manager pipelines with strict immutability rules. Adobe Managed Services (AMS) provides a middle ground with managed infrastructure but more flexibility. On-premises installations give full control but require manual orchestration and operational discipline.