Tag: Distributed Systems

Explore how message queues and asynchronous workflows decouple services, enhance scalability, and build resilient distributed systems. Learn …

Explore worker architectures for scalable background processing. Learn about queues, asynchronous workflows, and designing robust systems …

Explore the Sidecar Pattern: Learn how to enhance microservices with auxiliary processes for common tasks like logging, monitoring, and …

Master observability: logging, metrics, and distributed tracing. Gain deep insights into complex distributed systems, including AI/agent …

Master infrastructure automation and modern deployment strategies like IaC, CI/CD, and GitOps to build scalable, resilient, and observable …

Explore advanced systems thinking, navigate critical architectural tradeoffs, and learn to design robust, scalable architectures for modern …

Explore the lifecycle and critical impact of configuration management at hyper-scale, drawing insights from Meta's 'Trust But Canary' …

Explore Meta's approach to storing and distributing critical configurations across its vast global infrastructure, focusing on the …

Explore Meta's approach to real-time monitoring, Service Level Objectives (SLOs), and alerting for configuration changes at hyper-scale, …

Explore the core Model Context Protocol (MCP): understand its message types, the context lifecycle, and essential state management for …

Dive into the core principles of AI system design, understanding what makes AI applications unique and how to lay a solid foundation for …

Dive into microservices for AI, learning how to design modular, scalable, and resilient AI-powered applications. Explore patterns for …