Scaling

Building Event-Driven Microservices - Chapter 12 - Lightweight Framework Microservices

Building Event-Driven Microservices - Chapter 12 - Lightweight Framework Microservices

Translations: RU
The 4th pattern to build microservices is to use Lightweight Frameworks. Lightweight Frameworks provide similar functionality to Heavyweight Frameworks, but they heavily rely on: the event broker the container management system (CMS) In many cases they exceed Heavyweight Frameworks. Different apps can use any/different resources from the cluster which are better fit their needs. While still provide Scaling and Recovering from Failures (again by heavily relying on event broker and CMS).
Building Event-Driven Microservices - Chapter 11 - Heavyweight Framework Microservices

Building Event-Driven Microservices - Chapter 11 - Heavyweight Framework Microservices

Translations: RU
Heavyweight Stream Processing Frameworks are another foundation/pattern to build your microservices. These frameworks are highly scalable and allow you to efficiently solve many analytical tasks. But they are not always good for stateful event-driven microservice application patterns. Heavyweight frameworks operate using centralized resource clusters, which may require additional operational overhead, monitoring, and coordination to integrate successfully into a microservice framework. However, recent innovations move these frameworks toward container management solutions (CMS) such as Kubernetes that should reduce your efforts.
Building Event-Driven Microservices - Chapter 9 - Microservices Using Function as a Service

Building Event-Driven Microservices - Chapter 9 - Microservices Using Function as a Service

Translations: RU
Function-as-a-Service (FaaS) is an area of cloud computing that is growing rapidly. There are following issues to conside here: Principles of FaaS Open source and 3rd party FaaS providers 4 components to consider when building microservices as functions Cold Start vs Warm Start Different Triggers that can start FaaS: Triggering Based on New Events, Triggering Based on Consumer Group Lag, Triggering on a Schedule, Triggering Using Webhooks, Triggering on Resource Events Maintaining State Two patterns of functions calling other functions: Event-driven and Direct-call Termination and Shutdown Tuning and Scaling All of these is disclosed in the Chapter 9 of the book we are currently studying:
Building Event-Driven Microservices - Chapter 7 - Stateful-Streaming

Building Event-Driven Microservices - Chapter 7 - Stateful-Streaming

Translations: RU
Event-Driven Microservices need to materialize states. And it comes with the important things to think about. Two approaches to choose from: Internal state store or External state store Both have pros and cons. Both have important scalability and recovery considerations. Two approaches for changing data structures: Bebuilding and Migration Transactions and how to emulate them in order to implement Effectively Once processing. All of these is disclosed in the Chapter 7 of the book we are currently studying: