𝐄𝐯𝐞𝐧𝐭-𝐃𝐫𝐢𝐯𝐞𝐧 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 In today's fast-paced digital landscape, Event-Driven Architecture (EDA) is emerging as a cornerstone for organizations seeking innovation and scalability. 🛡️ Why Decoupled Architecture Matters? EDA stands out in its commitment to decoupling services, breaking free from the shackles of traditional request-driven models. This decoupling empowers organizations in several ways: Scalability: EDA simplifies the scaling of individual components, facilitating a nimble response to growing demands. It's a game-changer in a world where adaptability is key. 🔑 Key Components of EDA: EDA comprises three essential elements: Event Producer: The initiator, responsible for generating events. Think IoT devices, applications, and external data sources. Event Broker: The mediator, handling event distribution. This could be in the form of message brokers, streaming data services, or event meshes. Event Consumer: The recipient, acting upon incoming events. This includes serverless functions, containers, and applications. 🍔 Let's Take an Example: Imagine a food ordering application utilizing AWS services. Event producers trigger events based on user actions and inventory changes. AWS Lambda functions, like the Order Processing Lambda and Inventory Management Lambda, process these events in real-time. This results in swift order updates and efficient inventory management, all while retaining flexibility and cost-efficiency. 🌟 Benefits of Event-Driven Architecture: EDA presents a unique approach to system design, offering numerous advantages: Independent Scaling and Resilience: Services can scale and recover independently, bolstering system resiliency. When one service falters, others march on. Agility in Development: EDA streamlines event processing, replacing the need for custom code to poll and filter events. This push-based approach paves the way for on-demand actions and cost-efficient scaling. 💡 Challenges of EDA: Transitioning to EDA brings its own set of considerations: Variable Latency: Unlike monolithic applications, event-driven systems introduce variable latency, affecting predictability. However, this trade-off is essential for scalability and availability. Eventual Consistency: EDA often leads to eventual consistency, which can complicate transaction processing and system state management. Returning Values: Event-based applications are asynchronous, making the return of values or workflow results more complex compared to synchronous flows. 𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐢𝐬 𝐩𝐫𝐞-𝐛𝐮𝐢𝐥𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐭𝐞𝐦𝐩𝐥𝐚𝐭𝐞: https://lnkd.in/ehRvyt9m #cloudcomputing #cloud #devops #cloudairy
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Event driven reference architecture which is one of core elements that’s #BOAT orchestrating. #EventDriven #BOAT #ProcessOrchestration #Automation
𝐄𝐯𝐞𝐧𝐭-𝐃𝐫𝐢𝐯𝐞𝐧 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 In today's fast-paced digital landscape, Event-Driven Architecture (EDA) is emerging as a cornerstone for organizations seeking innovation and scalability. 🛡️ Why Decoupled Architecture Matters? EDA stands out in its commitment to decoupling services, breaking free from the shackles of traditional request-driven models. This decoupling empowers organizations in several ways: Scalability: EDA simplifies the scaling of individual components, facilitating a nimble response to growing demands. It's a game-changer in a world where adaptability is key. 🔑 Key Components of EDA: EDA comprises three essential elements: Event Producer: The initiator, responsible for generating events. Think IoT devices, applications, and external data sources. Event Broker: The mediator, handling event distribution. This could be in the form of message brokers, streaming data services, or event meshes. Event Consumer: The recipient, acting upon incoming events. This includes serverless functions, containers, and applications. 🍔 Let's Take an Example: Imagine a food ordering application utilizing AWS services. Event producers trigger events based on user actions and inventory changes. AWS Lambda functions, like the Order Processing Lambda and Inventory Management Lambda, process these events in real-time. This results in swift order updates and efficient inventory management, all while retaining flexibility and cost-efficiency. 🌟 Benefits of Event-Driven Architecture: EDA presents a unique approach to system design, offering numerous advantages: Independent Scaling and Resilience: Services can scale and recover independently, bolstering system resiliency. When one service falters, others march on. Agility in Development: EDA streamlines event processing, replacing the need for custom code to poll and filter events. This push-based approach paves the way for on-demand actions and cost-efficient scaling. 💡 Challenges of EDA: Transitioning to EDA brings its own set of considerations: Variable Latency: Unlike monolithic applications, event-driven systems introduce variable latency, affecting predictability. However, this trade-off is essential for scalability and availability. Eventual Consistency: EDA often leads to eventual consistency, which can complicate transaction processing and system state management. Returning Values: Event-based applications are asynchronous, making the return of values or workflow results more complex compared to synchronous flows. 𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐢𝐬 𝐩𝐫𝐞-𝐛𝐮𝐢𝐥𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐭𝐞𝐦𝐩𝐥𝐚𝐭𝐞: https://lnkd.in/ehRvyt9m #cloudcomputing #cloud #devops #cloudairy
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𝐄𝐯𝐞𝐧𝐭-𝐃𝐫𝐢𝐯𝐞𝐧 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 In today's fast-paced digital landscape, Event-Driven Architecture (EDA) is emerging as a cornerstone for organizations seeking innovation and scalability. 🛡️ Why Decoupled Architecture Matters? EDA stands out in its commitment to decoupling services, breaking free from the shackles of traditional request-driven models. This decoupling empowers organizations in several ways: Scalability: EDA simplifies the scaling of individual components, facilitating a nimble response to growing demands. It's a game-changer in a world where adaptability is key. 🔑 Key Components of EDA: EDA comprises three essential elements: Event Producer: The initiator, responsible for generating events. Think IoT devices, applications, and external data sources. Event Broker: The mediator, handling event distribution. This could be in the form of message brokers, streaming data services, or event meshes. Event Consumer: The recipient, acting upon incoming events. This includes serverless functions, containers, and applications. 🍔 Let's Take an Example: Imagine a food ordering application utilizing AWS services. Event producers trigger events based on user actions and inventory changes. AWS Lambda functions, like the Order Processing Lambda and Inventory Management Lambda, process these events in real-time. This results in swift order updates and efficient inventory management, all while retaining flexibility and cost-efficiency. 🌟 Benefits of Event-Driven Architecture: EDA presents a unique approach to system design, offering numerous advantages: Independent Scaling and Resilience: Services can scale and recover independently, bolstering system resiliency. When one service falters, others march on. Agility in Development: EDA streamlines event processing, replacing the need for custom code to poll and filter events. This push-based approach paves the way for on-demand actions and cost-efficient scaling. 💡 Challenges of EDA: Transitioning to EDA brings its own set of considerations: Variable Latency: Unlike monolithic applications, event-driven systems introduce variable latency, affecting predictability. However, this trade-off is essential for scalability and availability. Eventual Consistency: EDA often leads to eventual consistency, which can complicate transaction processing and system state management. Returning Values: Event-based applications are asynchronous, making the return of values or workflow results more complex compared to synchronous flows. 𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐢𝐬 𝐩𝐫𝐞-𝐛𝐮𝐢𝐥𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐭𝐞𝐦𝐩𝐥𝐚𝐭𝐞: https://lnkd.in/ehRvyt9m hashtag #cloudcomputing hashtag #cloud hashtag #devops hashtag #cloudairy
𝐄𝐯𝐞𝐧𝐭-𝐃𝐫𝐢𝐯𝐞𝐧 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 In today's fast-paced digital landscape, Event-Driven Architecture (EDA) is emerging as a cornerstone for organizations seeking innovation and scalability. 🛡️ Why Decoupled Architecture Matters? EDA stands out in its commitment to decoupling services, breaking free from the shackles of traditional request-driven models. This decoupling empowers organizations in several ways: Scalability: EDA simplifies the scaling of individual components, facilitating a nimble response to growing demands. It's a game-changer in a world where adaptability is key. 🔑 Key Components of EDA: EDA comprises three essential elements: Event Producer: The initiator, responsible for generating events. Think IoT devices, applications, and external data sources. Event Broker: The mediator, handling event distribution. This could be in the form of message brokers, streaming data services, or event meshes. Event Consumer: The recipient, acting upon incoming events. This includes serverless functions, containers, and applications. 🍔 Let's Take an Example: Imagine a food ordering application utilizing AWS services. Event producers trigger events based on user actions and inventory changes. AWS Lambda functions, like the Order Processing Lambda and Inventory Management Lambda, process these events in real-time. This results in swift order updates and efficient inventory management, all while retaining flexibility and cost-efficiency. 🌟 Benefits of Event-Driven Architecture: EDA presents a unique approach to system design, offering numerous advantages: Independent Scaling and Resilience: Services can scale and recover independently, bolstering system resiliency. When one service falters, others march on. Agility in Development: EDA streamlines event processing, replacing the need for custom code to poll and filter events. This push-based approach paves the way for on-demand actions and cost-efficient scaling. 💡 Challenges of EDA: Transitioning to EDA brings its own set of considerations: Variable Latency: Unlike monolithic applications, event-driven systems introduce variable latency, affecting predictability. However, this trade-off is essential for scalability and availability. Eventual Consistency: EDA often leads to eventual consistency, which can complicate transaction processing and system state management. Returning Values: Event-based applications are asynchronous, making the return of values or workflow results more complex compared to synchronous flows. 𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐢𝐬 𝐩𝐫𝐞-𝐛𝐮𝐢𝐥𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐭𝐞𝐦𝐩𝐥𝐚𝐭𝐞: https://lnkd.in/ehRvyt9m #cloudcomputing #cloud #devops #cloudairy
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🌐 Understanding Event-Driven Architecture: The Future of Scalable Systems In today’s fast-paced digital world, Event-Driven Architecture (EDA) is becoming essential for building highly scalable, responsive, and flexible systems. But what exactly is EDA, and why should it matter to you? 🚀 What is Event-Driven Architecture? EDA is a design pattern that focuses on creating systems that respond to events changes in state triggered by user actions, system conditions, or even external APIs. It decouples the sender of an event from the receiver, allowing for asynchronous communication. 🔄 How it Works: 🔹Producers emit events when something of significance happens. 🔹Consumers subscribe to and react to those events. 🔹Middleware, like message brokers (Kafka, RabbitMQ, etc.), helps manage event flow. 💡 Why Choose Event-Driven Architecture? 🔹Scalability: Systems can independently scale event producers and consumers. 🔹Resilience: Isolated services reduce the risk of system-wide failure. 🔹Flexibility: Easily integrate with third-party services or new system components without major redesigns. 🔹Real-Time Processing: Handle events in real time, ideal for scenarios like IoT, live feeds, or transactional systems. 📈 EDA Use Cases: 🔹Real-time data processing and analytics 🔹Microservices communication 🔹IoT ecosystems 🔹Financial transactions By implementing event-driven architecture, companies can handle more complexity, scale effortlessly, and improve overall system responsiveness. Whether you're dealing with microservices or distributed systems, EDA offers a modern and efficient solution. Is your organization event-driven? Let's discuss how EDA can help your next big project! 💬 #EventDrivenArchitecture #EDA #Scalability #Microservices #Kafka #CloudComputing #SoftwareArchitecture #TechInnovation
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Event-Driven Architecture (EDA) for Modern Systems!!! We have been using distributed systems and microservices for a while, Event-Driven Architecture (EDA) is redefining how we build, scale, and maintain applications. By embracing asynchronous communication and loosely coupled components, EDA allows systems to react in real-time, making them more scalable, flexible, and resilient. At its core, Event-Driven Architecture enables systems to respond to events as they occur—whether it's user actions, changes in state, or messages from other services. Instead of relying on a request/response pattern, components can react to events when needed, improving performance and scalability. Here’s why I’m excited about EDA: 🔄 Real-Time Responsiveness: Events are processed as they happen, leading to faster and more dynamic systems. Perfect for applications that require real-time updates (e.g., financial systems, IoT, chat apps). ⚙️ Scalability: With components decoupled from each other, EDA makes it easier to scale individual parts of the system independently, whether horizontally or vertically. 💡 Flexibility: New features or services can be added with minimal impact on existing components, thanks to the loose coupling of event producers and consumers. 🛡️ Resilience: EDA supports fault tolerance and failure recovery since systems can continue operating even when some services are temporarily down. Events can be retried or queued up without breaking the entire flow. 🔑 Key Technologies: Message Brokers (Kafka, RabbitMQ): Enabling communication and event distribution. Event Sourcing: Storing events as the source of truth for reconstructing state. CQRS: Splitting read and write models for improved performance and scalability. 🌍 In a world where distributed systems are the norm, Event-Driven Architecture offers a robust way to design systems that can grow and adapt to ever-changing business needs. It’s a paradigm shift that empowers organizations to build for the future! Let’s discuss how we can leverage EDA to bring agility and scalability to our applications. 💡 #EventDrivenArchitecture #EDA #Microservices #Kafka #RabbitMQ #CQRS #Scalability #TechInnovation #DDDMelbourne2025 #Programmable2025 #SoftwareDeveloper #Microsoft
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🚀 Understanding API-Driven Application Infrastructure: A Comprehensive Blueprint for Seamless Integration 🌐 Building robust, scalable, and efficient applications is essential in today's interconnected world. Here's a detailed blueprint showcasing the architecture behind API-driven applications, where every layer plays a pivotal role in ensuring seamless connectivity and high performance. Let’s break it down: 🔗 Client Layer This is where the end-users interact — be it Mobile, Web, IoT devices, or Cloud Services. These interfaces communicate with the backend through APIs, delivering real-time, efficient data processing and user experiences. 🛡️ API Gateway Layer (High Availability) Acting as the backbone of API-driven architecture, this layer handles: Routing: Ensures the right requests reach the right services. API Orchestration: Combines multiple APIs to provide unified responses. Performance Management: Monitors and optimizes API traffic. Security: Implements access management, Single Sign-On (SSO), and data protection. Protocol Translation: Adapts various communication protocols for compatibility. Analytics: Tracks API performance and usage metrics for continuous improvement. 🔄 Integration Layer This layer connects systems using: Connectivity (via REST or Graph APIs): Simplifies the data flow. Adapters: Converts and ensures data compatibility. Webhooks: Triggers actions in real-time based on external events. 💻 Application Layer Here lies the core of your business logic: Microservices: Modular and independent components for scalability. Function as a Service (FaaS): Serverless solutions for dynamic workloads. Applications: Custom software tailored to business needs. 📂 Data and Information Layer Where all the magic happens! Data is stored, managed, and retrieved efficiently: NoSQL Databases for unstructured data. RDBMS for structured, relational data. Vector Databases for AI/ML use cases, enabling advanced search and analytics. 🎯 Why is this important? This architecture enables businesses to: ✅ Achieve agility and scalability. ✅ Securely manage vast amounts of data. ✅ Deliver superior user experiences across platforms. ✅ Stay competitive in a rapidly evolving digital landscape. 💡 Ready to transform your applications with an API-driven approach? Let’s discuss how such an infrastructure can elevate your business! #TechInnovation #APIDrivenArchitecture #DigitalTransformation #CloudComputing #API #Microservices #Serverless #DataDriven #Scalability #Zillionica #IoT #SoftwareDevelopment #DevOps #DigitalFuture
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🔧 Building New Applications? Consider Event-Driven Architecture! 🔧 In the era of digital transformation, creating applications that are responsive, scalable, and adaptable is more important than ever. At SMCS, we advocate for the integration of Event-Driven Architecture (EDA) in the development of new applications to meet these demands. 🔄 What is Event-Driven Architecture? EDA is a design paradigm where applications respond to events or changes in state. Instead of relying on traditional request-response models, EDA allows for real-time processing and communication, making applications more dynamic and responsive. 🌟 Why Consider EDA for New Applications? Real-Time Processing: EDA enables applications to process and react to data as it arrives, ensuring real-time insights and actions. This is crucial for applications that require immediate responses, such as financial trading platforms, IoT systems, and online gaming. Scalability: With EDA, components are decoupled, allowing each service to scale independently. This flexibility is essential for applications expected to handle variable loads and grow over time. Resilience: Decoupled services in an event-driven system can fail and recover independently without affecting the entire application. This leads to higher fault tolerance and more reliable systems. Flexibility and Agility: EDA allows for easier integration of new features and services. By reacting to events, applications can adapt to changing business needs more swiftly, promoting innovation and continuous improvement. Enhanced User Experience: Applications built on EDA can offer more personalized and engaging user experiences by reacting to user actions in real-time. This leads to increased user satisfaction and loyalty. 💡 Key Considerations for Implementing EDA: Event Design: Define clear and concise event formats. Ensure events are meaningful and provide the necessary context for processing. Infrastructure: Choose the right tools and platforms for event streaming and processing, such as Apache Kafka, AWS Lambda, or Azure Event Grid. Data Management: Implement robust data management practices to handle the high volume of events and ensure data integrity. Security: Ensure that event data is secure, and access is controlled, especially when dealing with sensitive information. At SMCS, we specialize in helping businesses design and implement Event-Driven Architectures that drive innovation and operational excellence. Let's collaborate to build applications that are not only ready for today but are also future-proofed for tomorrow. #EventDrivenArchitecture #ApplicationDevelopment #Innovation #RealTimeProcessing #Scalability #Resilience #UserExperience #SMCS
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These are great visual aids to understand the different API styles
Top 8 API Styles You Need to Know Post Credits: @Brij kishore pandey Follow Amit Sharma for more similar content. Understanding different API architecture styles is crucial for building robust and scalable applications. Here's a quick guide to the top 8 types: 1. 𝗦𝗢𝗔𝗣 (𝗦𝗶𝗺𝗽𝗹𝗲 𝗢𝗯𝗷𝗲𝗰𝘁 𝗔𝗰𝗰𝗲𝘀𝘀 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) - XML-based messaging protocol - Widely used in enterprise applications - Can be complex to set up and use 2. 𝗥𝗘𝗦𝗧 (𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘁𝗮𝘁𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿) - Lightweight, based on HTTP methods - Most popular due to simplicity - Easy to understand and implement 3. 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 - Query language for APIs - Allows clients to request specific data - Improves performance by reducing data transfer 4. 𝗴𝗥𝗣𝗖 - High-performance framework for RPCs - Uses HTTP/2 and Protocol Buffers - Ideal for microservices architectures 5. 𝗪𝗲𝗯𝗦𝗼𝗰𝗸𝗲𝘁 - Real-time, bi-directional communication - Great for chat apps and live streaming - Enables instant data updates 6. 𝗪𝗲𝗯𝗵𝗼𝗼𝗸 - Event-driven mechanism - Allows servers to send notifications - Perfect for CI/CD pipelines and monitoring 7. 𝗠𝗤𝗧𝗧 (𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗤𝘂𝗲𝘂𝗶𝗻𝗴 𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆 𝗧𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁) - Lightweight messaging protocol - Designed for constrained devices and networks - Excellent for IoT applications 8. 𝗔𝗠𝗤𝗣 (𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗤𝘂𝗲𝘂𝗶𝗻𝗴 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) - Robust messaging protocol - Ensures reliable communication - Suitable for enterprise apps requiring high reliability Choosing the right API architecture depends on factors like performance needs, scalability requirements, and the type of data exchanged. Which of these have you used ? Any favorites?
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API's Ecosystem
APIs power our digital world. Let's dive deep into their ecosystem: 𝟴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗔𝗣𝗜 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀: • REST: REpresentational State Transfer - the scalable superstar • SOAP: Simple Object Access Protocol - XML-based messaging veteran • GraphQL: Query language for flexible data fetching • AMQP: Advanced Message Queuing Protocol for reliable communication • MQTT: Message Queuing Telemetry Transport - lightweight IoT champion • WebSocket: Real-time, bidirectional communication • gRPC: High-performance Remote Procedure Calls • Webhook: Event-driven HTTP callbacks 𝟵 𝗖𝗿𝘂𝗰𝗶𝗮𝗹 𝗔𝗣𝗜 𝗠𝗲𝘁𝗵𝗼𝗱𝘀: • GET: Retrieve data • POST: Create new resources • PUT: Update existing resources • DELETE: Remove resources • PATCH: Partially modify resources • HEAD: Get metadata about a resource • OPTIONS: Get information about available communication options • CONNECT: Establish a network connection to a resource • TRACE: Perform a message loop-back test Key Status Codes to Know: • 2xx: Success (e.g., 200 OK, 201 Created) • 3xx: Redirection (e.g., 301 Moved Permanently) • 4xx: Client Errors (e.g., 400 Bad Request, 404 Not Found) • 5xx: Server Errors (e.g., 500 Internal Server Error) Pro Tip: 418 I'm a Teapot exists, but you're unlikely to encounter it in serious APIs! 𝗔𝗣𝗜 𝗗𝗲𝘀𝗶𝗴𝗻 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: • Use clear, versioned endpoints (/api/v2/articles) • Implement filtering, sorting, and pagination • Robust authentication (e.g., OAuth 2.0, JWT) • Specify accepted content types • Provide comprehensive documentation • Rate limiting for API stability • Consistent error handling and messaging Why This Matters: In our interconnected digital landscape, understanding APIs is crucial for: - Building scalable applications - Integrating diverse systems - Enabling IoT and real-time communications - Developing microservices architectures
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API MASTER GUIDE
APIs power our digital world. Let's dive deep into their ecosystem: 𝟴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗔𝗣𝗜 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀: • REST: REpresentational State Transfer - the scalable superstar • SOAP: Simple Object Access Protocol - XML-based messaging veteran • GraphQL: Query language for flexible data fetching • AMQP: Advanced Message Queuing Protocol for reliable communication • MQTT: Message Queuing Telemetry Transport - lightweight IoT champion • WebSocket: Real-time, bidirectional communication • gRPC: High-performance Remote Procedure Calls • Webhook: Event-driven HTTP callbacks 𝟵 𝗖𝗿𝘂𝗰𝗶𝗮𝗹 𝗔𝗣𝗜 𝗠𝗲𝘁𝗵𝗼𝗱𝘀: • GET: Retrieve data • POST: Create new resources • PUT: Update existing resources • DELETE: Remove resources • PATCH: Partially modify resources • HEAD: Get metadata about a resource • OPTIONS: Get information about available communication options • CONNECT: Establish a network connection to a resource • TRACE: Perform a message loop-back test Key Status Codes to Know: • 2xx: Success (e.g., 200 OK, 201 Created) • 3xx: Redirection (e.g., 301 Moved Permanently) • 4xx: Client Errors (e.g., 400 Bad Request, 404 Not Found) • 5xx: Server Errors (e.g., 500 Internal Server Error) Pro Tip: 418 I'm a Teapot exists, but you're unlikely to encounter it in serious APIs! 𝗔𝗣𝗜 𝗗𝗲𝘀𝗶𝗴𝗻 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: • Use clear, versioned endpoints (/api/v2/articles) • Implement filtering, sorting, and pagination • Robust authentication (e.g., OAuth 2.0, JWT) • Specify accepted content types • Provide comprehensive documentation • Rate limiting for API stability • Consistent error handling and messaging Why This Matters: In our interconnected digital landscape, understanding APIs is crucial for: - Building scalable applications - Integrating diverse systems - Enabling IoT and real-time communications - Developing microservices architectures
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Thoughts on this? >> What Is Microservice Architecture, and How Is Healthcare Adopting It? >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #AI #mhealth #IoT #healthtech #industry40
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𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐢𝐬 𝐩𝐫𝐞-𝐛𝐮𝐢𝐥𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐭𝐞𝐦𝐩𝐥𝐚𝐭𝐞: https://lnkd.in/ehRvyt9m