gRPC – An Introduction Guide

Overview: In this tutorial, I would like to introduce you to the modern RPC framework from google called gRPC. It is one of the hottest technologies right now! Need For gRPC: Microservices are the popular way to design distributed systems. A big monolith application is broken down into multiple independent Microservices. These Microservices have few

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Spring Cloud Stream Kafka Binder

Overview: In this tutorial, I would like to show you passing messages between services using Kafka Stream with Spring Cloud Stream Kafka Binder. Spring Cloud Stream: Spring Cloud Stream is a framework for creating message-driven Microservices and It provides a connectivity to the message brokers. Something like Spring Data, with abstraction, we can produce/process/consume data

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Reactor Flux File Reading

Overview: In this tutorial, I would like to quickly show you Reactor Flux File Reading example. How we could access a file, read the content stream and close the file etc with Project Reactor – to properly consume and cleaning up resources. We have been discussing reactive programming in this blog for a while. There

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Redis Stream With Spring Boot

Overview: In this article, I would like to show Redis Stream With Spring Boot to demo how to implement real time stream processing. Redis: Redis was originally known as a REmote DIctionary Server for caching data. Along with Master/ReadReplication & Pub/Sub feature, Now Redis has added the support for Streams as well. Please take a look

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Materialized View PostgreSQL

Overview: In this tutorial, I would like to demo Materialized View PostgreSQL with Spring Boot  to increase the read performance of the application. Materialized View: Most of the web based applications are CRUD in nature with simple CREATE, READ, UPDATE and DELETE operations. It is also true that in the most of the applications, we

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Kafka Stream With Spring Boot

Overview: In this tutorial, I would like to show you how to do real time data processing by using Kafka Stream With Spring Boot. Stream Processing: In the good old days, we used to collect data, store in a database and do nightly processing on the data. It is called batch processing! In this Microservices

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