Distributed Transaction Patterns
Discover how to handle distributed transactions in microservices. This guide explains core concepts and patterns to maintain consistency and reliability across distributed systems.
Distributed Systems
Distributed systems are all around us, Facebook, Uber, Revolut, even the Google search engine is one of them. One search in Google can trigger tens (or hundreds) of call to different microservices owned by Google.
Here you’ll find resources that will:
- Help you understand how they work.
- Show you the most common pitfalls in their design.
- Help you design and build better systems.
Availability – Theory, Problems, Tools and Best Practices
What is availability? Today, I will answer that question, dive into challenges and share best practices related to availability.
What is Caching – Theory, Problems, Tools and Best Practices
In this text I will walk you through basic definitions related to caching, the most common problems with caching, different caching eviction algorithms, mention the most commonly used tools, and share some best practices.
Distributed Systems – Theory, Challenges and Trade-Offs
Distributed systems are all around us, Facebook, Uber, even the Google search engine. This text will show you how to work with them.
What Is Scalability – What, When, How and Why We Fail
Scalability is probably one of the most crucial non-business features of every modern-day system and this text is a perfect intro to it.
CRDTs Explained: How Conflict-Free Replicated Data Types Work
Conflict-free Replicated Data Types are a data structure designed to ensure that data on different computers (replicas) will eventually converge.