Database Indexing Explained Most databases require some form of indexing to keep up with performance benchmarks. Searching through a database is much simpler when the data is correctly indexed, which improves the system's overall performance. A database index is a lot like

If I had to optimize an API, here are 10 techniques I'd consider: • 𝗔𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 ↳ For time-intensive operations like file uploads or report generation, use background jobs with tools like RabbitMQ or Celery to keep APIs responsive. Return task

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ACID clearly explained. ACID stands for Atomicity, Consistency, Isolation, and Durability. • 𝗔𝘁𝗼𝗺𝗶𝗰𝗶𝘁𝘆 Atomicity is a concept that 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗺𝘂𝘀𝘁 𝗯𝗲 "𝗮𝗹𝗹 𝗼𝗿 𝗻𝗼𝘁𝗵𝗶𝗻𝗴". This approach is 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗳𝗼𝗿 𝗱𝗮𝘁𝗮

If you want to become good at Kafka, read this:

How Amazon Bedrock AgentCore works (explained in 2 mins or less): If you want reliable agents, you need two things: Control and quality. A lot of failures don’t come from the model. They come from agents acting without boundaries or being deployed without real quality

6 types of API testing explained. 𝗦𝗶𝘅 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗳𝗼𝗿𝗺𝘀 𝗼𝗳 𝗔𝗣𝗜 𝘁𝗲𝘀𝘁𝗶𝗻𝗴: • 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 ↳ Checks that a sequence of API calls work together correctly to complete a specific process. Often these workflow tests

How the most popular deployment strategies work (explained in 2 mins or less): Each stands out for specific strengths. • Blue/Green for safety and zero downtime. • Canary for controlled, low-risk rollouts. • Rolling for maintaining continuous operations. • Feature Toggles

HTTP 2 vs HTTP 3: What's the Difference? • 1996 → HTTP 1 • 1997 → HTTP 1.1 • 2015 → HTTP 2 • 2022 → HTTP 3 But what’s the difference? Starting at the foundation: 🔹 𝗛𝗧𝗧𝗣 𝟭.𝟭: ✓ 𝗣𝗲𝗿𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻𝘀: Reuses connections instead of opening

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The main components of Kubernetes explained. At its core, Kubernetes is built on a handful of key components, each with a distinct role. By understanding them, you'll have a strong foundational understanding. 𝗡𝗼𝗱𝗲: ↳ Machines (physical or virtual) that run containerized

API performance techniques (explained in under 2 mins): API inefficiencies not only degrade the user experience but also increase operational costs through increased resource consumption and downtime. Here are 5 popular solutions to improve API performance: •

Must-know principles of solution architecture design (explained in under 2 mins): 𝟳 𝗰𝗼𝗿𝗲 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 𝘄𝗶𝘁𝗵 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 for designing solutions: 𝗛𝗶𝗴𝗵𝗹𝘆 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 ↳ High availability

How AI-native databases work (explained in under 2 mins): An AI-native database is one that can: • Store long-term agent memory/state • Handle time (event + time-series data) • Enable parallel experiments in sandboxes • Understand meaning (semantic/vector/hybrid search)

If you want to get started with system design, learn these 15 concepts: 1) How JWT Works: ↳ https://t.co/fhO3rHBMZG 2) Idempotency in API Design: ↳ https://t.co/FNICBGvfwK 3) SQL vs NoSQL: ↳ https://t.co/u0OgwvDF7w 4) Service Discovery in Distributed Systems: ↳

If you want to scale a database, consider these strategies: 𝟭 ) 𝗖𝗮𝗰𝗵𝗲 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 ↳ One of the simplest improvements you can make to handle database load. Reduce load by caching frequently requested query results. Tools like Redis or Memcached store

Stateful vs stateless design (explained in under 2 mins): Stateless design is a powerful model that has led to the development of simple yet highly scalable and efficient applications. “State” refers to stored information that systems use to process requests. This information

A big moment for Postgres.

API gateway vs load balancer (explained in 2 mins or less): An 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 acts as a single entry point for clients, handling request routing, composition, and protocol translation. It simplifies client interactions with microservices and offers features like rate

How SSH works (explained in 2 mins or less): SSH (Secure Shell) is a network protocol used to securely connect to remote machines over an unsecured network. It ensures confidentiality, integrity, and authentication for remote access, file transfers, and command execution,

Concurrency vs parallelism (explained in 2 mins or less): Parallelism and concurrency are two terms that often create confusion. One is about managing multiple tasks at once, intermixing them to optimize resource usage. The other involves executing multiple tasks

If I had to build auth, here's what I'd consider: Building auth properly means you need to: 1) Integrate with OAuth providers 2) Build signup, password reset, CAPTCHA flows 3) Support SAML, SSO, account recovery 4) Implement rate-limiting and 2FA 5) Detect fraud and secure