9 Core Components of a Microservice App
Microservice Best Practices
MicroServices Best Practices
Microservices are all the rage in the software world, and for good reason. This architecture breaks down complex applications into smaller, independent services, leading to increased agility, scalability, and maintainability.
But how do you ensure your microservices are built like champions? Enter best practices. Here's a rundown of some key principles to keep in mind:
1️⃣ Single Responsibility: Imagine a tiny, focused superhero instead of a jack-of-all-trades. That's the essence of single responsibility. Each microservice should do one thing and do it well. This makes them easier to understand, develop, test, and maintain.
2️⃣ Separate Data Stores: Think of each microservice as a vault guarding its own treasure (data). Ideally, they should have dedicated data stores, like separate databases or NoSQL solutions. This isolates them from data issues in other services.
3️⃣ Asynchronous Communication: (but not hand-in-hand) Let your microservices chat through email instead of holding hands across the network. Use asynchronous communication like message queues or pub-sub systems. This decouples services and makes the system more resilient.
4️⃣ Containerization: Docker to the rescue! Containerization packages your microservices into neat, portable containers, ensuring consistent environments and simplifying deployment and scaling.
5️⃣ Orchestration: ️ Think of Kubernetes as the maestro of your container orchestra. It handles load balancing, scaling, and monitoring, making container management a breeze.
6️⃣ Build & Deploy Separation: ️ Imagine building a ship in a shipyard and then launching it from a separate port. That's the idea behind build and deploy separation. Keep these processes distinct to ensure smooth deployment across different environments.
7️⃣ Domain-Driven Design (DDD): DDD helps you navigate the domain of your microservices. It defines clear boundaries and interactions between services, ensuring they align with your business capabilities.
8️⃣ Stateless is the Goal: ♀️ Think of microservices as Zen masters – unburdened by state. Store any necessary state in external data stores for easier scaling and maintenance.
9️⃣ Micro Frontends for Web Apps: For web applications, consider the micro frontends approach. Break down the UI into independent components, allowing different teams to develop and deploy them faster.
Bonus Best Practices: Monitoring & Observability: Keep a watchful eye on your microservices' health. Security: Shield your microservices from the bad guys. Automated Testing: Let robots do the repetitive stuff. Versioning: Keep track of changes and rollbacks easy. Documentation: Clearly document your microservices for future you. Remember: the best practices you choose depend on your project's needs. Customize your approach for a winning microservices architecture!
Microservice App Core Components
Load Balancer – API Gateway – Reverse – Forward Proxy
#loadbalancer #reverseproxy #apigateway #forwardproxy
Load Balancers, Reverse Proxies, Forward Proxies, and API Gateways: Know the Difference
Understanding these network components is crucial for building scalable and secure applications.
𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿𝘀 distribute traffic across multiple servers for optimal performance and reliability.
𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗣𝗿𝗼𝘅𝗶𝗲𝘀 sit in front of web servers, enhancing security, load balancing, and performance.
𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗣𝗿𝗼𝘅𝗶𝗲𝘀 act as intermediaries for clients, offering anonymity, caching, and content filtering.
𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆𝘀 manage and secure API traffic, providing a single entry point for multiple APIs.
Each plays a distinct role in network architecture, contributing to application performance, security, and scalability.
WhatsApp System Design
It feels instant—but behind the scenes, there's a beautifully orchestrated system at work.
Here’s a breakdown of the WhatsApp Message Flow:
• Your message is encrypted instantly and sent to WhatsApp’s servers.
• The server checks if the recipient is online or offline.
• If online → message is delivered and synced across devices.
• If offline → message is queued and delivered once they’re back online.
• Read receipts are sent back when the user reads your message.
• And yes — all this happens within seconds, securely and efficiently.
Let's Explore the fascinating world of WhatsApp's architecture, breaking down the key components that make it all work seamlessly.
𝐋𝐨𝐜𝐚𝐥 𝐒𝐐𝐋𝐢𝐭𝐞 𝐃𝐁: Where your messages find a temporary home on your device.
𝐌𝐨𝐛𝐢𝐥𝐞 𝐔𝐬𝐞𝐫𝐬: Millions of users, each with their unique experience.
𝐂𝐮𝐬𝐭𝐨𝐦 𝐄𝐣𝐣𝐚𝐛𝐞𝐫𝐝 𝐒𝐞𝐫𝐯𝐞𝐫 𝐂𝐥𝐮𝐬𝐭𝐞𝐫: The powerhouse handling real-time communication.
𝐘𝐀𝐖𝐒 𝐒𝐞𝐫𝐯𝐞𝐫: Ensuring smooth interactions between users and servers.
𝐌𝐧𝐞𝐬𝐢𝐚 𝐃𝐁 𝐂𝐥𝐮𝐬𝐭𝐞𝐫, 𝐌𝐲𝐒𝐐𝐋, or 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐬: Managing vast amounts of user data securely.
𝐑𝐢𝐚𝐤: The backbone for storage and quick retrieval of media and data.
𝐗𝐌𝐏𝐏 & 𝐇𝐓𝐓𝐏: Protocols enabling instant messaging and data transfer.
𝐆𝐂𝐌 / 𝐀𝐏𝐍𝐒: Pushing notifications to keep you updated, no matter the platform.
𝐖𝐫𝐢𝐭𝐞 𝐎𝐧𝐥𝐲, 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐀𝐫𝐜𝐡𝐢𝐯𝐞, 𝐎𝐟𝐟𝐥𝐢𝐧𝐞 𝐔𝐬𝐞𝐫𝐬: Features shaping your messaging experience.
𝐌𝐞𝐝𝐢𝐚, 𝐃𝐚𝐭𝐚, 𝐏𝐫𝐨𝐟𝐢𝐥𝐞, 𝐂𝐨𝐧𝐭𝐚𝐜𝐭𝐬: How your media and crucial information are managed.
𝐇𝐓𝐓𝐏: The bridge for web-based interactions with the WhatsApp platform.
#whatsapp #systemdesign #architecture #
𝐖𝐡𝐚𝐭 𝐫𝐞𝐚𝐥𝐥𝐲 𝐡𝐚𝐩𝐩𝐞𝐧𝐬 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐡𝐢𝐭 𝐒𝐞𝐧𝐝 𝐨𝐧 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩?
• It feels instant—but behind the scenes, there's a beautifully orchestrated system at work.
• Here’s a breakdown of the WhatsApp Message Flow:
• Your message is encrypted instantly and sent to WhatsApp’s servers.
• The server checks if the recipient is online or offline.
• If online → message is delivered and synced across devices.
• If offline → message is queued and delivered once they’re back online.
• Read receipts are sent back when the user reads your message.
• And yes — all this happens within seconds, securely and efficiently.
• I visualized the entire architecture in this diagram to simplify how it works. Whether you're into system design, distributed systems, or just curious about real-time messaging, this is a great example to learn from.
• *There is a typo in step 4 it should be online
API Security
Elevate Your Security Game: 20 Tips for Robust API Protection!
Embrace HTTPS: Secure data in transit by using HTTPS to encrypt communication between clients and your API.
OAuth 2.0: Implement OAuth 2.0 for robust authentication and authorization, ensuring only authorized users access your API.
WebAuthn: Enhance security with WebAuthn, a cutting-edge standard for passwordless authentication.
Fine-tuned Authorization: Create precise authorization mechanisms to control user access levels and protect sensitive resources.
API Key Usage: Improve your security with API keys, controlling access and monitoring usage effectively.
Rate Limiting: Implement rate limiting to prevent abuse and ensure fair usage, safeguarding your API from malicious attacks.
API Versioning: Future-proof your API by incorporating versioning, allowing for smooth transitions and backward compatibility.
Allow List Configuration: Strengthen security by configuring allow lists, specifying trusted entities, and minimizing potential risks.
API Gateway Deployment: Route your API traffic through a gateway for centralized control, security, and streamlined management.
Error Handling Mastery: Safeguard sensitive information by mastering error handling, providing meaningful responses without revealing internal details.
Bulletproof Input Validation: Fortify your API against injection attacks by implementing thorough input validation.
OWASP API Security Checklist: Regularly check your API against the OWASP API Security Checklist to ensure compliance with industry best practices.
Netflix Architecture
Netflix Backend Architecture
Netflix Backend architecture involves various components and considerations to ensure scalability, reliability, and performance.
Above is a high-level overview of the system architecture:
Client: The client could be a web browser, a mobile app, a smart TV, or any other device capable of streaming content. Clients communicate with the backend through APIs.
AWS Elastic Load Balancer (ELB): ELB helps distribute incoming traffic across multiple instances of microservices to ensure load balancing, fault tolerance, and high availability. It can be set up to handle both internal and external traffic.
API Gateway: An API Gateway acts as a single entry point for clients to interact with various microservices. It can handle tasks such as authentication, authorization, request/response transformations, and more. AWS provides the Amazon API Gateway service for this purpose.
Microservices Architecture: Netflix relies heavily on microservices to break down its application into small, loosely coupled services that can be developed, deployed, and scaled independently. Examples of microservices in Netflix include user management, content recommendation, billing, and streaming.
Cache: Caching is essential for improving performance and reducing latency. Services like AWS ElastiCache (for in-memory caching) or Amazon DynamoDB Accelerator (DAX) can be used to cache frequently accessed data.
Stream Processing Pipelines: Netflix uses stream processing for real-time data analytics and processing. Apache Kafka and Apache Flink are examples of technologies that can be employed to build stream processing pipelines. These pipelines can process events in real-time, such as user interactions and content consumption, to make timely decisions and updates.
Notification System: A notification system can be implemented to inform users about new content, recommendations, or updates.
Elasticsearch: Elasticsearch can be employed for efficient and fast search capabilities within the content catalog. It enables users to search for specific titles, genres, or other metadata.
Spark for Data Processing: Apache Spark can be used for batch processing and large-scale data analytics. It can handle tasks like data cleansing, transformation, and analysis to derive meaningful insights.
Storage: Netflix likely uses distributed storage systems like Amazon S3 for storing and retrieving large volumes of data, including video content, user profiles, and other assets.
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Central to Netflix's architecture are microservices—small, autonomous units that scale and deploy independently. This flexibility ensures robustness and adaptability.
Netflix employs diverse caching methods to lighten server loads. A prime example is its content delivery network (CDN), caching frequently accessed content closer to users for enhanced performance and cost efficiency.
Underneath the hood, Netflix's architecture is powered by a suite of technologies:
Frontend: React, GraphQL Backend: Spring Boot, Zuul, Eureka Data storage: EVcache, Cassandra, CockroachDB Messaging/streaming: Apache Kafka, Flink Cloud computing: Amazon Web Services (AWS)
This sophisticated system evolves continuously to incorporate new features and accommodate expansion into new markets while upholding core tenets of scalability, reliability, and efficiency.
Process of a URL
When you type a URL into your browser:
• The browser breaks the URL into components like scheme (e.g., “https”), domain (e.g., “example.com”), and path (e.g., “/page”). • If the IP address isn’t cached, it queries a DNS server to resolve it. • A connection is established with the web server using the IP and port (80 for HTTP, 443 for HTTPS). • The browser sends an HTTP request to fetch the resource. • The server responds with the requested data (HTML, CSS, JS) and a status code. • The browser renders the page by processing the HTML, applying CSS, and executing JavaScript. • Secure sites establish an SSL/TLS connection for encryption. • Resources are cached to speed up future visits. • Fast, secure, and seamless—all thanks to modern browsers!
CI/CD
CI/CD Pipelines Made Simple 🚀
Ever wonder how modern apps deploy so seamlessly? Here’s how CI/CD pipelines work their magic:
- Code Changes: Developers push new features or bug fixes to the repository. - Automated Build: The pipeline compiles the code and packages it, preparing it for deployment. - Pre-Deployment Testing: Automated tests (unit, integration, and sometimes end-to-end) verify the code's stability and catch bugs early. - Staging Environment: The build is deployed in a staging environment that mirrors production for further testing. - Approval & Deployment: Once everything checks out, either automated rules or manual approval sends the build live to production. - Post-Deployment Monitoring: Tools monitor performance, logs, and user feedback to detect and address any issues quickly.
This streamlined process minimizes risks, speeds up delivery, and ensures users get the best experience. It’s automation at its finest!