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Microservice

Published at
2/5/2024
Categories
webdev
serverless
microservices
reactive
Author
akmaurya31
Author
10 person written this
akmaurya31
open
Microservice

Microservices:
I have a comprehensive understanding of microservices architecture, including the principles and practices involved in designing and implementing microservices-based systems. This includes knowledge of service independence, decentralized data management, and the use of API gateways for communication. I am familiar with the challenges related to service discovery, fault tolerance, and scalability in microservices environments.

Serverless:
I possess knowledge and experience in serverless computing, including the deployment and management of applications without the need for server provisioning and maintenance. This involves a grasp of serverless platforms like AWS Lambda, Azure Functions, or Google Cloud Functions. I am acquainted with the benefits of serverless, such as cost efficiency, automatic scaling, and event-driven execution.

Event-Driven:
I am well-versed in event-driven architecture, understanding the principles of decoupling components through the use of events. I have experience with event-driven patterns like publish-subscribe and the implementation of event-driven systems. This includes proficiency in tools such as Apache Kafka or AWS EventBridge, enabling the creation of scalable and loosely coupled systems based on events.

Reactive:
I have practical experience with reactive programming and systems. This involves understanding the principles of responsiveness, resilience, and elasticity in designing reactive applications. I am familiar with reactive frameworks and libraries such as Akka or Reactor, allowing for the development of applications that can efficiently handle asynchronous and non-blocking operations.

In summary, my experience encompasses a thorough understanding and practical application of microservices, serverless computing, event-driven architecture, and reactive programming, providing a holistic perspective on modern and scalable software design.

Microservices:
As part of a previous project, I contributed to the development and deployment of a microservices-based e-commerce platform. The architecture was designed to enable independent scalability and maintainability of various services, such as user authentication, inventory management, and order processing. Each microservice had its own database, and communication between services was established through RESTful APIs and message queues. This approach allowed the team to respond to evolving business requirements efficiently.

Serverless:
In a cloud-based project, I leveraged serverless computing for the implementation of image processing functionalities. AWS Lambda functions were utilized to execute code in response to image upload events. This serverless approach facilitated automatic scaling based on demand, eliminating the need for managing server infrastructure. The application's cost efficiency significantly improved, as computing resources were allocated only when needed during image processing tasks.

Event-Driven:
I was involved in building a real-time analytics platform where an event-driven architecture played a pivotal role. User interactions with the application triggered events that were captured and processed by Apache Kafka. These events, representing user behavior, were then used to update analytics dashboards and trigger downstream processes. The decoupling of components through events enhanced the system's responsiveness and scalability.

Reactive:
In a high-throughput data processing application, I applied reactive principles using the Akka framework. The system efficiently handled large volumes of incoming data streams by employing an actor-based model. This reactive design allowed the application to remain responsive under varying workloads, ensuring that it could dynamically scale resources to maintain optimal performance during peak usage periods.

These examples demonstrate my practical experience in implementing microservices, serverless solutions, event-driven architectures, and reactive programming in real-world projects, showcasing the versatility and benefits of these modern software development approaches.

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Reactive Backend Applications with Spring Boot, Kotlin and Coroutines (Part 2)

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