Background In today’s world of distributed computing, network is the backbone of high-performance, low-latency enterprise applications. Understanding and optimizing the Linux network stack is crucial for achieving peak system performance. Here’s a breakdown of the key components: Network Components: Hardware: …
Read MoreBackground Lot of my pet projects have been built using Spring Boot 2.x version. Same might be applicable for all the enterprises and organizations who have been building Microservices based applications for their products / services using Spring Boot. During last year, Spring community made a major version upgrade and …
Read MoreBackground As I concluded my year-end break in 2022, I engaged in a profound professional introspection. The realization that struck me most profoundly was the depth of my understanding of the intricate software systems I've been architecting, maintaining, and optimizing for numerous years. The stark truth was that I …
Read MoreBackground Recently I stumbled upon a tweet on my twitter timeline, that discussed about approaches / strategies that can be adopted to improve performance of enterprise applications. What struck me while going through its responses and various similar posts on Linkedin is - tons of material preaching and teaching of …
Read MoreBackground In this current era, Distributed Architecture has become de-facto architectural paradigm, which necessitates implementation of loosely coupled Microservices which would talk with each other via REST API Message Oriented Middleware As far as Message Oriented Middleware is concerned, Apache Kafka has become …
Read MoreBackground In today's contemporary world of enterprise software where massively used applications are expected to scale and run seamlessly at extreme high loads e.g. Scaling Hotstar for 25.3 million users, system performance becomes one of the key tenant of architecting high throughput, low latency applications along …
Read MoreBackground In couple of my previous articles I not only tried helping understand fundamentals of JVM memory management, but also delved deeper to understand how Garbage Collection works along with its optimization. So with this background, I am sure you would be convinced that behavior of garbage collection may have …
Read MoreBackground In one of my previous post we saw tangible advantages (w.r.t throughput, latency and resource utilization) of refactoring existing Microservice application from imperative to reactive constructs. So an obvious question that comes to an inquisitive mind - Can we apply Reactive principles to the underlying …
Read MoreBackground In my previous post I tried demonstrating how to implement an optimal and performant REST client using RestTemplate In this article I will be demonstrating similar stuff but by using WebClient. But before we get started, lets try rationalizing Why yet another REST client i.e. WebClient IMO there are 2 …
Read MoreBackground In this contemporary world of enterprise application development, Microservice Architecture has become defacto paradigm. With this new paradigm, an application is going to have myriad set of independent and autonomous (micro)services which will be calling each other. One of the fundamental characteristics of …
Read More