Kalyani Bogala’s Post

Welcome back to our exploration of Event-Driven Architectures! This week, we're diving into the core concept of asynchronous event publishing and subscribing, a fundamental aspect of messaging in EDA. Key Insights: 1. Asynchronous Event Publishing: Event publishers can send events without waiting for a response. This non-blocking communication allows systems to operate more efficiently, as publishers can continue their processes without delay. 2. Event Subscribing: Event subscribers can receive and process events independently. Subscribers are notified of new events without the need for the publisher to wait, ensuring a seamless flow of information across the system. This asynchronous nature of messaging is vital for creating scalable and resilient event-driven systems, enabling real-time data processing and improving overall system performance. Join us next week as we continue to uncover the deeper layers of Event-Driven Architecture! Disclaimer: This series offers unique insights into event-driven architectures and microservices, informed by personal expertise and research. It is independent of any specific company affiliation or promotional campaign. For official information, we encourage consulting authoritative sources in the field.

🚀 Unlock the Power of Event-Driven Architecture (EDA)! 🚀 Are you struggling with bottlenecks, scalability issues, or tightly coupled components in your system? It's time to explore Event-Driven Architecture (EDA) and transform your applications into responsive, scalable, and maintainable powerhouses. Check out my latest article, "Embracing Event-Driven Architecture: Building Responsive and Scalable Applications," where I dive into: 🔹 What is EDA? 🔹 Core Concepts: Events, Producers, Channels, and Consumers . 🔹 Technologies and Tools: Apache Kafka, RabbitMQ, AWS SNS/SQS, and more. 🔹 Architectural Patterns: Microservices, Event Sourcing, and CQRS. 🔹 Real-World Applications: How Netflix and Uber leverage EDA . 🔹 Implementation Challenges and Best Practices. Don't miss out on understanding how EDA can revolutionize your system design and help you stay ahead in the tech game. Read the full article here: https://lnkd.in/dU3DcUNN #EventDrivenArchitecture #EDA #Microservices #Scalability #RealTimeProcessing #TechInnovation #SoftwareArchitecture

3 Tips For Understanding The Core Principles Of Event Driven Architecture Effectively Feeling overwhelmed by Event-driven Architecture (EDA)? You're not alone. Event-driven architecture is an attractive concept compared to what many usually adopt in design systems. The big risk behind the corner is to have a first impact without considering the shift and the differences. Let's break it down with three tips to help you grasp the core principles effectively. #1 Understand the Basics of Event-driven Systems → At its core, EDA is about decoupling software components. →↳ This means that instead of having multiple services tightly-knit, you allow them to communicate through events. → Think of it as a chain reaction. → When one event occurs, it triggers other events in a domino effect. #2 Focus on the Events, Not the Actions → In traditional architectures, you might focus on the actions taken by various components. →↳ With EDA, the focus shifts to the events themselves. → Understand what events are significant in your system. →↳ Identify the events that will trigger other processes. → This mindset shift can be challenging but is crucial for mastering EDA. #3 Leverage Tools and Frameworks Designed for EDA → There's no need to reinvent the wheel. →↳ Many frameworks and tools are specifically designed to help implement EDA. → Apache Kafka, AWS EventBridge, and RabbitMQ are just a few examples. →↳ These tools can help you manage, store, and process events efficiently. → Familiarize yourself with these technologies to get a practical understanding of EDA. Focusing and deepening on these three tips will help you understand the core principles that open the door to implementing event-driven architecture. What challenges have you faced with EDA? Leave a comment or share your experience! #EDA #EventDrivenArchitecture #EDABasics #EDACorePrinciples --- That's it! 💬 Comment your experiences 🔗 Share this post 👍 Like if you agree 👥 Follow me for more insights

Building distributed systems without Tracing is like driving in the dark. You can only see what's in front of you. Tracing lets you track your API requests between microservices. A simple way to implement this is to include a correlation ID in your logs. You can pass the CorrelationId using an HTTP header. All you need is a good monitoring system to ingest this data. But a better way to implement this is using OpenTelemetry. Looking for more observability best practices? Check out this article about OpenTelemetry: https://lnkd.in/ePDeS8w3 Quick question. Have you tried Aspire and its monitoring dashboard? --- Do you want to simplify your development process? Grab my free Clean Architecture template here: https://bit.ly/3C4uHQf

🚀 Continuing the Journey: Asynchronous Communication with Event-Driven Architecture 🚀 In my last post, I discussed the challenges of synchronous communication and how approaches like the Gateway Pattern can help mitigate some of them. Today, let’s dive into asynchronous communication and its transformative role in distributed systems. 🔍 Asynchronous Communication: The Power of Event-Driven Architecture (EDA) Unlike synchronous request/response models, EDA allows services to communicate by publishing and subscribing to events. This approach decouples services, enabling them to evolve independently and process messages at their own pace. 💡 How It Works: 1️⃣ When an event occurs (e.g., an order is placed), the Order Service publishes an OrderCreated event to a Message Queue. 2️⃣ Other services, such as Inventory Service and Shipping Service, subscribe to this event and process it asynchronously. 3️⃣ These services update their local databases, maintaining their state independently. This setup introduces eventual consistency, where services achieve consistency over time rather than instantly. 🔑 Why Asynchronous Communication Matters: Scalability: Each service handles its workload independently, allowing the system to scale seamlessly. Resilience: Temporary failures in one service don’t cascade through the system; messages remain in the queue until processed. Improved Performance: By eliminating synchronous dependencies, systems can handle higher throughput and remain responsive. 📊 Eventual Consistency in Action: In the diagram below, you’ll see how EDA and eventual consistency work together to ensure a resilient and scalable system. While data might be temporarily inconsistent across services, all events are processed asynchronously, and consistency is achieved over time. Stay tuned for my next post, where I’ll explore hybrid communication patterns and when to combine synchronous and asynchronous approaches for the best of both worlds. Let’s keep the conversation going! How are you leveraging asynchronous communication patterns in your projects? 🌟 #EventDrivenArchitecture #AsynchronousCommunication #SystemDesign #DistributedSystems

🚀 Understanding Architectural Patterns: Beyond the Hype 🚀 Over the course of numerous architectural discussions with principal engineers, lead engineers, and new engineers alike, I’ve noticed a recurring theme: many engineers tend to misunderstand the core principles of architectural design patterns. Often, they defend a particular tool or approach based on a blog post they read on Medium or Dev.to, without fully grasping the underlying principles. A common misconception I’ve observed is the belief that microservices require containerization, or that event-driven architecture necessitates the use of queues. This simply isn’t true. Microservices is an architectural style that organizes an application into loosely coupled services, each focused on a specific business capability. While containerization (e.g., Docker) is often chosen for deploying microservices because it offers isolation, consistency, and portability, it’s not a hard requirement. Microservices can be effectively deployed on bare metal, virtual machines, or even within a monolithic environment, as long as the principles of decoupling and independent deployment are respected. Similarly, event-driven architecture is a design pattern where decoupled components communicate through events. Although message queues and streaming platforms (like Kafka) are popular choices for implementing this pattern, they’re not mandatory. Events can be managed through various other means, such as in-memory data structures, file systems, or even direct function calls. The core idea is that the architecture reacts to events rather than adhering strictly to a request-response model. The key takeaway? These architectural patterns are about designing the flow and structure of the application, not about being tied to specific technologies or tools. The principles can be applied across different infrastructures, whether you’re working with physical servers, VMs, or cloud-native platforms. As engineers, it’s crucial to focus on understanding the principles behind architectural patterns rather than just the tools associated with them. Let’s move beyond the hype and design systems that truly align with the business needs and technical realities of our projects. #Microservices #EventDrivenArchitecture #SoftwareArchitecture #EngineeringLeadership #DesignPatterns

🔔 Event-Driven Architecture: The Key to Scalable and Decoupled Microservices 🔔 Microservices thrive on independence, but how do they communicate effectively without becoming tightly coupled? The answer lies in Event-Driven Architecture (EDA). 🔹 What is EDA? EDA uses events to trigger actions across services. Instead of direct requests (e.g., REST API calls), services communicate asynchronously via an event broker like Kafka or RabbitMQ. 💡 How It Works: 1️⃣ Event Producers generate events (e.g., "Order Placed"). 2️⃣ Event Brokers distribute events to interested consumers. 3️⃣ Event Consumers react to the events (e.g., process payment, update inventory). 🔄 Key Benefits: Decoupling: Services don’t need to know about each other. They simply publish and subscribe to events. Scalability: Services handle events independently, allowing horizontal scaling. Resilience: If one service fails, others remain unaffected. Events can be reprocessed once the failed service recovers. 🛠️ Use Case: Imagine an e-commerce system: The "Order Service" publishes an OrderPlaced event. The "Payment Service" processes payment. The "Inventory Service" updates stock levels. Each service works independently, yet the workflow remains cohesive. ⚠️ Challenges: Event Duplication: Ensure services can handle duplicate events gracefully. Eventual Consistency: Transactions are not immediate, so your system must handle delays. Debugging: Tracing event flows across services requires robust observability tools. 🚀 Why Adopt EDA? For systems that demand scalability, flexibility, and fault tolerance, Event-Driven Architecture is a game changer. Are you using event-driven principles in your architecture? What tools or patterns have worked best for you? Let’s discuss! #Microservices #EventDrivenArchitecture #Scalability #Decoupling #SoftwareEngineering #TechInnovation

𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝗽𝗮𝗿𝘁 𝟭): I would like to start talking about some architectural evolutions we can see commonly in our industry. While the layered architecture is a solid general-purpose pattern, the event-driven architecture is a popular distributed asynchronous architectural pattern, used to produce highly scalable applications and usually every component is highly decoupled, with single-purpose event processing features, that asynchronously receive and process events, or as we popularly called it: "messages". The event-driven architecture pattern consists of two main topologies, the mediator and the broker. I will focus on the broker topology that is usually used when you have a relatively simple event processing flow and want to chain events together without the use of a central mediator (useful for events that have multiple steps and require some level of orchestration to be processed). Within the broker topology, there are two main types of components: a broker component  (ActiveMQ, RabbitMQ, Kafka, etc)  and an event processor component (producers, consumers, workers, etc). The broker component will contain all the event channels that are used within the event flow, such as:  message queues, message topics, or a combination of both. A generic event-driven architecture would look like this:

Understanding Event-Driven Architecture and Spring Events in Microservices #Event_Driven_Architecture #Spring_Events #Onurdesk

Short Knowledge Bites Topic: Event-Driven Architecture (EDA). Event-driven architecture (EDA) is a pattern used in microservices architecture to enable loosely coupled and asynchronous communication between services. In EDA, services communicate through events, representing state changes or significant occurrences within the system. These events are propagated asynchronously, allowing services to react to changes in a decoupled manner. EDA promotes scalability, flexibility, and resilience by decoupling services and enabling them to evolve independently. It also facilitates the implementation of complex workflows, event sourcing, and real-time processing. EDA is a powerful pattern for building distributed systems that can efficiently handle event-driven scenarios and adapt to changing business requirements.