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Build production-ready backend systems from APIs to data, reliability, and scale.
Get a high-level map of backend system components and how they work together to serve applications.
Understand essential networking concepts backend engineers need for reliable service communication and troubleshooting.
An overview of how backend APIs are designed, structured, and maintained through clear contracts.
Follow the full lifecycle of a request inside a server from arrival to response.
Learn how backends handle multiple tasks efficiently using concurrency and asynchronous processing models.
Explore how background jobs and workers handle asynchronous, long-running, and non-blocking backend tasks.
Learn how to design data models that reflect business requirements while keeping systems maintainable and scalable.
Explore database fundamentals, data storage patterns, and trade-offs between common backend database choices.
Learn caching fundamentals to reduce latency, lower load, and improve backend performance at scale.
Learn how messaging and event-driven architectures enable decoupled, scalable backend communication.
Understand core distributed systems concepts like coordination, consistency, fault tolerance, and trade-offs.
Learn strategies for scaling backend systems to handle growth in traffic, data, and complexity.
Learn how to build reliable systems and monitor them effectively with logs, metrics, traces, and alerts.
Understand core backend security practices, from authentication and authorization to common vulnerabilities and defenses.
Understand Git-based collaboration workflows that help backend teams ship code safely and efficiently.
Understand how containers and Docker package, run, and isolate backend services consistently across environments.
Understand foundational cloud infrastructure concepts that power modern backend deployments.
Learn how backend services are deployed and managed through practical infrastructure and release workflows.