What you would learn in Event-driven microservices: Spring boot, kafka and elastic course?
This course will be focused on microservices development.You will learn how to create and deploy your own application components using microservices.You can also scale services according to the resource requirements of each service. For example, you can create more instances of a service that requires more requests.
Tanima"This course is the best I have ever taken on udemy. The instructor is very responsive and deals with complicated problems during the course. Professor, I will always be grateful for your course and keep an eye out for your next release.
We will create a microservices architecture using the latest software platforms, technologies, and libraries. Following the best practices, we will use Java, Spring boot, and Spring cloud. Elasticsearch will also be used. Event sourcing and event-driven services will be covered using Kafka.
We will use some of the following microservices patterns: Externalized configuration; CQRS; API versioning; Service discovery; API Gateway with rate limiting and circuit breaker.
Oliver Michels: "Amazing course that covers so much ground.Spring Boot, Kafka, Elastic, OAuth/Keycloak, etc.It shows how all these pieces work together in a microservice architecture.
Learn Oauth2 or OpenID connect protocols to authenticate and authorize, monitor Spring boot actuator, Prometheus, Grafana, and log aggregation with Spring Cloud Sleuth, MDC, and Zipkin. You'll also learn reactive development using the ELK stack with Elasticsearch Logstash, Logstash, and Kibana.
For developing cloud-ready microservices, we will be using Spring cloud and Spring boot along with Docker.
Emre DemirThis is more than a software tutorial.This course is an advanced course in computer engineering.Excellent examples and descriptions.You must learn from both Full-stack developers and Back-end developers.
We'll be using a hands-on approach to develop a project. This will include multiple microservices that are surrounded by multiple modules.You will need to be hands-on in this course, where I will guide you from beginning to end.
Mohammed O. Tillawy"Amazing course. But be prepared to put in a lot of effort and have patience."
The course will help you understand the real challenges faced by distributed applications with multiple components and services and find solutions.
Each lecture can be downloaded separately so that you can easily run it with your IDE or docker.
Microservices with spring cloud stack and spring boot
Kafka offers event-driven microservices
Docker allows you to containerize microservices
Kafka basics, topics, partitions, and consumers. Kafka streams, admin clients, and Avro messaging.
Basics of Elasticsearch: Index API, query API and more
Kafka-based messaging apps with spring Kafka
Elasticsearch querying and indexing with spring elastic data
CQRS with Kafka & Elasticsearch
Spring Config Cloud allows you to externalize configuration patterns
Versioning for a Rest API
Spring Data with PostgreSQL
Discovery and Service Registration with Netflix Eureka Spring cloud
Spring Cloud Load Balancing for Client-Side Load Balancing
API Gateway pattern in Spring Cloud Gateway
Circuit Breaker pattern using Spring Cloud Gateway and Residence4j
Redis and Spring Cloud Gateway allow rate limitation
JWT allows you to authenticate and authorize with Oauth2 or OpenID connect protocols using Keycloak
Monitoring microservices using Spring Boot Actuator and Prometheus, Grafana
Log aggregation patterns, distributed tracing, and visualization with Elasticsearch and Logstash
Hateoas principle for a Rest API with Spring Hateoas
Open API Docs to Access API Documentation
Thymeleaf or Bootstrap are good options for a simple front-end
Reactive Spring, Reactive WebClient, and Reactive Thymeleaf allow you to query Elasticsearch reactively.
Spring Cloud Sleuth & Zipkin
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