Scalability and resilience problems no longer exist in the technology conferences as the buzz term. They offer a lifeline to an online business wherein a second of unavailability or low access rate can put the users on the back button. The most striking detail of this growth is the strategic three, Java, Kafka, and AWS that amalgamate and create the systems that do not only have the power to continue loading, but also to welcome it. Since the nature of how the developers build and implement applications has become transformed in the environment of the microservices architecture, the requirement of the presence of a consistent and viable communication of the autonomous services has become a technical necessity, and has become the basis of competitive creation. Designing with Purpose: From Business Needs to System Blueprints Designing with Purpose: From Business Needs to System Blueprints This begins with the information on what the business requires. One of the outlets is an online store, and it is not a conventional shop. It is living and alive with moving inventory reports, payment gateways, customer data, recommendation engines, among others, that are running behind your neck. It will be founded on Java magic and developed on the foundation of object-oriented and mature base because the independent component of the larger system, user authentication, product catalog, checkout process, and order monitoring. But Java alone isn’t enough. Information flow does not only exist between these services, but flow of information must be efficient and error-free. Kafka as the Communication Backbone Kafka as the Communication Backbone This is where Kafka comes in with the role of an effective conductor who is leading an orchestra. The normal API-based communicated service may easily result in tight coupling. One of the services falls into pieces, and the remaining of them are brought in a kind of domino. This is what Kafka re-implanted where he dis-integrated services by event communication. The user does not have to wait when the user makes an order because the order service is waiting to be informed about the inventory system, payment system, or shipping system respectively. Rather, it is employed to merely inform on an occurrence in a Kafka topic. When the consumers are prepared, the message is passed to them in other forms of services. This renders the whole system more responsive, more responsive, and most significantly more enduring. Tackling Real-World Challenges with Smart Architecture Tackling Real-World Challenges with Smart Architecture In reality, there are material communicational barriers of microservices. The larger they are, the more difficult it becomes to sustain and with minimal dependencies, nightmares in maintenance. Kafka broke this chain in the process of making communication asynchronous. Waiting times – synchronous waiting times – will not always be an issue in services. And since Kafka is equipped with the capacity of sending messages even when one of the consumer services is not online, in an instance when the service is capable of storing the messages it lost, whereby it can re-enter the network again, can celebrate the messages it lost again. It is not design but rather more it is survival architecture of the world of survival of the fittest. Neither is Kafka and Java in bad marriage. Java Kafka API and Spring integration allow application developers to develop powerful and lightweight consumers and producers. The heavy lifting that otherwise must be done to facilitate inter-service coordination can be done by publishing and subscribing to service-to-service messaging. This accelerates the development and fewer bugs and services can be developed. This is like the scenario whereby all the musicians of an orchestra will not have the nerve to play their parts the way they will be done best even when the conductor is on leave. The Role of AWS in Scaling Up Without Blowing Up The Role of AWS in Scaling Up Without Blowing Up On the one hand, a scaled system is easily developed. It is a second-size game to play. AWS offers the infrastructure that was tested on the battlefield in order to deploy, run, and administer microservices in Java and expressed in the form of Kafka. Cloud enables scaling to unexpected load without reducing the system irrespective of how it is staged by the usage of Kubernetes clusters or pre-staged Kafka controlled services. AWS is also useful in the integration and delivery pipelines which must be regularly integrated, and when one presses a button, they can refresh them. The other interesting fact is that the scaling of services can be done separately by the topic of Kafka and volume of messages. When it comes to flash sale of order processing, an addition of order topic consumers suffices. The other services are untouchable. The game of the DevOps teams which must inevitably be engaged in in high-traffic applications changes in such a granular control. Bringing It All Together in a Real Scenario Bringing It All Together in a Real Scenario Take an example of an online Black Friday store. Thousands of people are registering, browsing, throwing their products in the cart, and checking out at the same speed. The Java-based microservices are independent of all the capabilities of the operations which comprise the checkout to the login. Kafka has made sure that these functions are interacting between themselves and they are not overloading the system of one of them. The other later indicator of the payment gateway is not the freezing of the entire operation. In the meantime, AWS applies the on-need scaling of on-need services that respond directly to the spikes of traffic. No crashes. No bottlenecks. It is impossible to compare the process of shopping with simplicity and purity. The Future is Event-Driven and Cloud-Enabled The Future is Event-Driven and Cloud-Enabled Gone are the days of monolithic applications that are glued and handwritten API calls. The contemporary software platform is a breathing, living network of services that can be capable of communicating at an extremely high rate, scale, and recover gracefully with relatively little trouble. The infinite of Java legs and Kafka words and playground exists with AWS. They all lead to a three that is not only an inevitable powerhouse, but a necessity in the contemporary digital ecosystem that is much needed. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program. This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program. HackerNoon’s Business Blogging Program HackerNoon’s Business Blogging Program

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

Architecting Resilient and Scalable Systems with Java, Kafka and AWS: A Case Study Approach

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Transforming External Audits with Data Analytics: Power Query, CCH and Risk-Based Audit Planning

Meet the Programmer Who Taught Himself to Code After Losing His Sight

I Ported My AI "Perceptual Grid Engine" to a Quantum Processor (and it Survived)

101 Stories To Learn About Cloud Infrastructure

10 Things in Engineering We Don't Spend Enough Time On

10 Things I Did To Increase CloudTrail Logs Security

Transforming External Audits with Data Analytics: Power Query, CCH and Risk-Based Audit Planning

Meet the Programmer Who Taught Himself to Code After Losing His Sight

I Ported My AI "Perceptual Grid Engine" to a Quantum Processor (and it Survived)

101 Stories To Learn About Cloud Infrastructure

10 Things in Engineering We Don't Spend Enough Time On

10 Things I Did To Increase CloudTrail Logs Security

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps