Imagine This... You wake up, grab your phone, and try to log into your online banking app. But instead of seeing your balance, you get an error: "Service Temporarily Unavailable." You check social media and see people panicking that thousands of acco...
There is a debate in the tech circles of whether to choose microservices or to stick with a monolithic architecture. Both approaches are beneficial and have their drawbacks, and knowing them will assist you in making the right decision for your proje...
Introduction System downtime can significantly impact business operations and user experience, the Triple R Squad emerges as a crucial framework for maintaining robust systems. This framework consists of three fundamental pillars: Resilience, Redunda...
Source: Statistics Behind Latency Metrics: Understanding P90, P95, and P99 1. What Are Latency Percentiles? Latency percentiles, such as P90, P95, and P99, are statistical measures that indicate how response times are distributed. They p...
When working with cloud computing, particularly with services like AWS, it's important to understand foundational concepts that ensure your applications are efficient, resilient, and reliable. Here’s a beginner-friendly guide to availability, scalabi...
Source: Secrets to Overcoming the Challenges of Horizontal Scaling in SQL Databases 1. Understanding Horizontal Scaling in SQL Databases Scaling horizontally involves adding more servers to distribute the load, as opposed to vertical scaling, ...
In the world of distributed databases, every system design must account for trade-offs between Consistency, Availability, and Partition Tolerance, as outlined by the CAP theorem. This foundational principle dictates that a distributed system can only...
CAP THEOROM : C – Consistency A – Availability P – Partitioning The CAP Theorem is a fundamental concept in distributed system design, helping engineers understand the trade-offs between Consistency, Availability, and Partition Tolerance in any dist...
Load balancing is the process of distributing incoming network traffic across multiple servers to ensure that no single server is overwhelmed. By evenly spreading the workload, load balancing aims to prevent overload on a single server, enhance perfo...
Source: Reasons to Use Database Partitioning: What Is It and Why It Matters? 1. Understanding Database Partitioning 1.1 What is Database Partitioning? At its core, database partitioning involves splitting tables or indexes into smal...
