NodeJS Microservices Full Course - Event-Driven Architecture with RabbitMQ

Learn how to create Microservices with NodeJS. We learn how to create an Event-Driven Architecture with RabbitMQ. There will be two Microservices Admin and Main with different databases. We will explore how to use NodeJS with a Relational Database like MySQL and a NoSQL Database like MongoDB.

Timestamps:
00:00​ Introduction
01:36​ Completed Project
03:01​ Admin App Setup
09:51​ Connecting with MySQL using TypeORM
17:13​ CRUD Endpoints
28:18​ Main App Setup with MongoDB
35:46​ RabbitMQ
41:19​ Sending & Consuming Events
55:08​ Internal Http Requests

Subscribe: https://www.youtube.com/channel/UCljAHzX-PBxv6WrXkI2rnQw

#nodejs #rabbitmq

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E-Commerce Microservice with NodeJS and RabbitMQ | NodeJS Microservice | Microservice

In this video, we’ll build a complete e-commerce microservice application using NodeJS and RabbitMQ.

Github Code Link: https://github.com/manosriram-youtube/ecommerce-microservice

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Timestamps:
Intro: 00:00 - 01:00
Setting up project and installing libraries: 1:00 - 5:26
Creating User Schema: 5:26 - 7:27
Register Route: 7:27 - 8:56
Login Route: 8:56 - 11:59
Testing Register and Login route: 11:59 - 13:25
isAuthenticated middleware: 13:25 - 16:54
Setting up product-service: 16:54 - 21:43
Creating Product Schema: 21:43 - 22:49
Create Product route: 22:49 - 26:44
Buy Product route: 26:44 - 30:12
Create Order Schema: 30:12 - 31:12
Order and Product service queue handling: 31:12 - 45:55
Outro: 45:55 - 46:03

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#nodejs #rabbitmq #microservice architecture #microservice

Serverless Vs Microservices Architecture - A Deep Dive

Companies need to be thinking long-term before even starting a software development project. These needs are solved at the level of architecture: business owners want to assure agility, scalability, and performance.

The top contenders for scalable solutions are serverless and microservices. Both architectures prioritize security but approach it in their own ways. Let’s take a look at how businesses can benefit from the adoption of serverless architecture vs microservices, examine their differences, advantages, and use cases.

#serverless #microservices #architecture #software-architecture #serverless-architecture #microservice-architecture #serverless-vs-microservices #hackernoon-top-story

NodeJS Microservices Full Course - Event-Driven Architecture with RabbitMQ

Learn how to create Microservices with NodeJS. We learn how to create an Event-Driven Architecture with RabbitMQ. There will be two Microservices Admin and Main with different databases. We will explore how to use NodeJS with a Relational Database like MySQL and a NoSQL Database like MongoDB.

Timestamps:
00:00​ Introduction
01:36​ Completed Project
03:01​ Admin App Setup
09:51​ Connecting with MySQL using TypeORM
17:13​ CRUD Endpoints
28:18​ Main App Setup with MongoDB
35:46​ RabbitMQ
41:19​ Sending & Consuming Events
55:08​ Internal Http Requests

Subscribe: https://www.youtube.com/channel/UCljAHzX-PBxv6WrXkI2rnQw

#nodejs #rabbitmq

Event-Driven Architecture as a Strategy

Event-driven architecture, or EDA, is an integration pattern where applications are oriented around publishing events and responding to events. It provides five key benefits to modern application architecture: scalability, resilience, agility, data sharing, and cloud-enabling.

This article explores how EDA fits into enterprise integration, its three styles, how it enables business strategy, its benefits and trade-offs, and the next steps to start an EDA implementation.

Although there are many brokers you can use to publish event messages, the open-source software Apache Kafka has emerged as the market leader in this space. This article is focused on a Kafka-based EDA, but much of the principles here apply to any EDA implementation.

Spectrum of Integration

If asked to describe integration a year ago, I would have said there are two modes: application integration and data integration. Today I’d say that integration is on a spectrum, with data on one end, application on the other end, and event integration in the middle.

The spectrum of integration.

Application integration is REST, SOAP, ESB, etc. These are patterns for making functionality in one application run in response to a request from another app. It’s especially strong for B2B partnership and exposing value in one application to another. It’s less strong for many data use cases, like BI reporting and ML pipelines, since most application integrations wait passively to be invoked by a client, rather than actively pushing data where it needs to go.Data integration is patterns for getting data from point A to point B, including ETL, managed file transfer, etc. They’re strong for BI reporting, ML pipelines, and other data movement tasks, but weaker than application integration for many B2B partnerships and applications sharing functionality.

Event integration has one foot in data and the other in application integration, and it largely gets the benefits of both. When one application subscribes to another app’s events, it can trigger application code in response to those events, which feels a bit like an API from application integration. The events triggering this functionality also carry with them a significant amount of data, which feels a bit like data integration.

EDA strikes a balance between the two classic integration modes. Refactoring traditional application integrations into an event integration pattern opens more doors for analytics, machine learning, BI, and data synchronization between applications. It gets the best of application and data integration patterns. This is especially relevant for companies moving towards an operating model of leveraging data to drive new channels and partnerships. If your integration strategy does not unlock your data, then that strategy will fail. But if your integration strategy unlocks data at the expense of application architecture that’s scalable and agile, then again it will fail. Event integration strikes a balance between both those needs.

Strategy vs. Tactic

EDA often begins with isolated teams as a tactic for delivering projects. Ideally, such a project would have a deliberative approach to EDA and a common event message broker, usually cloud-native brokers on AWS, Azure, etc. Different teams select different brokers to meet their immediate needs. They do not consider integration beyond their project scope. Eventually, they may face the need for enterprise integration at a later date.

A major transition in EDA maturity happens when the investment in EDA shifts from a project tactic to enterprise strategy via a common event bus, usually Apache Kafka. Events can take a role in the organization’s business and technical innovation across the enterprise. Data becomes more rapidly shareable across the enterprise and also between you and your external strategic partners.

EDA Styles

Before discussing the benefits of EDA, let’s cover the three common styles of EDA: event notification, event-carried state transfer, and event sourcing.

Event Notification

This pattern publishes events with minimal information: the event type, timestamps, and a key-value like an account number or some other key of the entity that raised the event. This informs subscribers that an event occurred, but if subscribers need any information about how that event changed things (like which fields changed, etc.), it must invoke a data retrieval service from the system of record. This is the simplest form of EDA, but it provides the least benefit.

Event-Carried State Transfer

In this pattern, the events carry all information about the state change, typically a before and after image. Subscribing systems can then store their cache of data without the need to retrieve it from the system of record.

This builds resilience since the subscribing systems can function if the source becomes unavailable. It helps performance, as there’s no remote call required to access source information. For example, if an inventory system publishes the full state of all inventory changes, a sales service subscribing to it can know the current inventory without retrieving from the inventory system — it can simply use the cache it built from the inventory events, even during an inventory service outage.

It also helps performance because the subscriber’s data storage can be custom-tuned just for that subscriber’s unique performance needs. Using the previous example, perhaps the inventory service is best suited using a relational database, but the sales service could get better performance from a no-SQL database like MongoDB. Since the sales services no longer need to retrieve from the inventory service, it’s at liberty to use a different DBMS than the inventory service. Additionally, if the inventory service is having an outage, the sales service would be unaffected since it pulls inventory data from its local cache.

The cons are that lots of data is copied around and there is more complexity on the receivers since they have to sort out maintaining all the state they are receiving.

#integration #microservices #data #kafka #enterprise architecture #event driven architecture #application architecture

The Service Mesh in the Microservices World - DZone Microservices

The software industry has come a long journey and throughout this journey, Software Architecture has evolved a lot. Starting with 1-tier (Single-node), 2-tier (Client/ Server), 3-tier, and Distributed are some of the Software Architectural patterns we saw in this journey.

The Problem

The majority of software companies are moving from Monolithic architecture to Microservices architecture, and Microservices architecture is taking over the software industry day-by-day. While monolithic architecture has many benefits, it also has so many shortcomings when catering to modern software development needs. With those shortcomings of monolithic architecture, it is very difficult to meet the demand of the modern-world software requirements and as a result, microservices architecture is taking control of the software development aggressively. The Microservices architecture enables us to deploy our applications more frequently, independently, and reliably meeting modern-day software application development requirements.

#microservice architecture #istio #microservice best practices #linkerd #microservice communication #microservice design #envoy proxy #kubernetes architecture #api gateways #service mesh architecture