Stateless

System Design Interview - Chapter 3 - A Framework for System Design Interviews

System Design Interview - Chapter 3 - A Framework for System Design Interviews

Translations: RU
Four standard steps for system design interview. However, I would think about them wider: as about four initial steps to design the software. Step 1. Understand the problem and establish design scope Step 2. Propose high-level design and get buy-in Step 3. Design deep dive Step 4. Wrap up The chapter 3 of the book discovers details about each step, good questions to ask (to think about), DO’s and DONT’s.
System Design Interview - Chapter 1 - Scale from zero to millions of users

System Design Interview - Chapter 1 - Scale from zero to millions of users

Translations: RU
A great generic plan for scaling any app from zero to millions of users. Single server setup Selection and usage of database Vertical scaling vs horizontal scaling approaches. And why you should prefer horizontal Adding load balancer for horizontal scaling Adding database replication for horizontal scaling Adding cache Adding CDN Stateless vs Stateful architecture and using external state storage Adding extra Data Centers Adding Message queue Adding Logging, Metrics, and Automation Scaling database (sharding) and futher steps… All of these is carefully but briefly disclosed in the Chapter 1 of the book:
Building Event-Driven Microservices - Chapter 15 - Testing Event Driven Microservices.

Building Event-Driven Microservices - Chapter 15 - Testing Event Driven Microservices.

Translations: RU
Testing event-driven solutions is a challenging task. It includes: Common principles Unit testing: stateless and stateful Testing the Topology (I bet you didn’t do it! ;) Testing Schema Evolution and Compatibility Integration testing: Local, Remote and Hybrid - a set of common sense considerations not to forgot about Choosing the testing strategy All of these is disclosed in the Chapter 15 of the book: “Building Event-Driven Microservices: Leveraging Organizational Data at Scale” by Adam Bellemare
Building Event-Driven Microservices - Chapter 10 - Basic Producer and Consumer Microservices

Building Event-Driven Microservices - Chapter 10 - Basic Producer and Consumer Microservices

Translations: RU
Basic Producer and Consumer (BPC) is a simple pattern for creating microservices. It forms the foundation of stateless and stateful services. You can use it for: interfacing layer between event streams and legacy systems leverage external stream processing systems to augment capabilities. But it requires your extra effort for: simple state materialization event scheduling timestamp-based decision making All of these is disclosed in the Chapter 10 of the book we are currently studying:
Building Event-Driven Microservices - Chapter 5 - Event-Driven Processing Basics

Building Event-Driven Microservices - Chapter 5 - Event-Driven Processing Basics

Translations: RU
Overviewing basics of event processing in Event-Driven Architectures: Typical structure of microservice Typical types of event transformations, 2 branching scenarios, merging streams Repartitioning events and when it can be useful Copartitioning events and when it is needed Assigning Partitions to a Consumer Instance. Three strategies to do this. Recovering from stateless processing instance failures. These topics are disclosed in the Chapter 5 of the book we are currently studying: