The complex process of ensuring cached data remains accurate when the source data changes (e.g., Write-Through, Cache-Aside, or Time-To-Live expiration). 4. Designing and Building Robust APIs

Protecting your servers from abuse, brute-force attacks, and DDoS attempts using algorithms like Token Bucket or Leaky Bucket.

For those interested in downloading resources related to backend engineering, here are a few options:

If you are looking to accelerate your journey, we can dive deeper into specific architectural patterns.

: Deep dives into HTTP/1.1, HTTP/2, gRPC, and the differences between TCP and UDP.

Verifying who the user is. This is commonly handled via secure password hashing (using bcrypt or Argon2) or OAuth protocol flows.

When managing dozens of containerized microservices, manual administration becomes impossible. Kubernetes automates the deployment, scaling, management, and networking of containerized applications across a cluster of host machines. Share public link

Sits in front of web servers to protect identity, log requests, and handle SSL termination.

: Structured data, ACID compliance, complex joins, and schema enforcement. Non-Relational Databases (NoSQL) Examples : MongoDB, Redis, Cassandra.

Caching static assets (images, videos, HTML) geographically closer to the end user.

: A query language that lets clients request exactly the data they need, reducing payload size.

A: Major updates every 6 months. When you download, you join our update list. You will receive a friendly email when v4.0 drops (usually around new HTTP standards or cloud provider changes).

Distributes incoming traffic across multiple servers to prevent overload and ensure high availability. 3. Database Fundamentals

As traffic grows, a backend must handle thousands of simultaneous requests without crashing.

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