Advanced Microservices Patterns for AI Backend Systems
Microservice patterns for AI workloads: the AI sidecar, event-driven prediction pipelines, claim-check for heavy payloads and GPU-aware request routing.
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The Ultimate Guide to AI Backend Engineering Consulting Services
What AI backend engineering consulting covers: architecture for AI workloads, caching and scaling inference, security, and how an engagement is run.
AI & Automation
FAQ: Why Apache Cadence for Distributed Workflows?
Why use Apache Cadence for distributed workflows? How it differs from job queues and Airflow, fault tolerance, the web UI and workflow code.
A Practical Introduction to Workflow Engines for Developers
Workflow engines for developers: what they are, when you need one over cron and queues, an order-processing example and how to choose a tool.
5 Best AI Automation Tools for Backend Development (I Tested Them All)
AI tools for backend development compared: GitHub Copilot, Qodo (CodiumAI), Amazon Q Developer and Codeium for APIs, tests and infrastructure.