¿Cómo mejora la escalabilidad la arquitectura de microservicios?

First and foremost, independent scaling of services provides the isolation of services based on specific requirements. Scaling can be tailored. Improved Resource utilization with right resource allocation and Real-time dynamic scaling based on traffic and resource usage.Fault Isolation helps the overall resilience and reliability of the system. Degrade gracefully for the non-critical features can be implemented. Technology Heterogeneity is possible with microservices. CI/CD pipeline provision and maintenance is easy. Load balancing can be applied based on different algo for different services. Finally caching and data management is efficient and improved with micro services architecture.

Independent Development: 🛠️ Microservices architecture breaks down applications into smaller, self-contained services. Each service can be developed, deployed, and scaled independently. This modularity enables faster development cycles and targeted scalability. Banking Example: 💳 In a banking application, individual microservices might handle tasks such as transaction processing, account management, and fraud detection. This separation means that a surge in transaction volume won't impact the performance of account management or fraud detection services.

Os microserviços são independentes, eles podem ser desenvolvidos, implantados e dimensionados sem coordenação com o resto do sistema. A independência reduz a complexidade envolvida na implantação de novas versões de um serviço ou no dimensionamento dos mesmo para atender altas demandas.

I Agree, individual Micro-services can be tailored We can efficiently allocate resources and scaled independently . Developers can focus and isolate the faults when applications follow micro-service architecture during enhanced testing and debugging

Micro services are nothing but multiple smaller applications which are derived from one single application. These small applications are nothing but one module of an application. Microservices are mainly used in the case where more number of requests are comming and the application is large and very complex application. In case if we cant to scale a particular microservices then it can be possible with the help of docker and kubernetes.

Elastic Scalability: 🧮 Microservices allow for dynamic scaling, where services can scale up or down based on real-time demand. This elastic nature ensures that resources are efficiently utilized, enhancing application performance during peak times. Banking Example: 🏦 During periods of high transaction volume, such as holiday shopping seasons, the transaction processing microservice can automatically scale out to handle increased loads, ensuring uninterrupted service without overburdening other parts of the system.

Dynamic scaling provides the ability based on the demand.In ecommerce world if there are multiple users browsing the site the particular service can be scaled up based on the demand.The container can be increased and deployed.

Continuous Deployment: 🔄 With microservices, teams can deploy updates and new features more frequently and with less risk. Each service can be updated independently, reducing the complexity and downtime associated with monolithic application updates. Banking Example: 📱 If a new feature for mobile banking needs to be added, it can be developed and deployed within the specific microservice responsible for mobile transactions without affecting other services like web transactions or back-office processing.

Polyglot Persistence: 🛠️ Microservices architecture supports the use of different technologies and databases best suited for each service. This flexibility allows leveraging the most appropriate tools for each specific task, optimizing performance and efficiency. Banking Example: 💾 A banking system might use a high-speed in-memory database for real-time transaction processing microservice while utilizing a more robust relational database for account management services. This ensures that each part of the application performs optimally.

Yes.This is true.I worked in a system which has springboot services, node.js services, nextjs services.The technology is diversified and each service is serving for the specific need.

Improved Resilience: 🚑 Microservices enhance fault isolation, meaning if one service fails, it doesn't bring down the entire system. This isolation limits the impact of failures and helps in maintaining overall system stability. Banking Example: 🔍 If the fraud detection service encounters an issue, it can be isolated and resolved without affecting transaction processing or customer account services, ensuring continuous service availability and reliability.

Enhanced DevOps: 🧑💻 Microservices architecture supports continuous integration and continuous delivery (CI/CD) pipelines, allowing teams to automate testing, deployment, and monitoring processes. This leads to faster delivery of features and fixes. Banking Example: 🏦 Implementing CI/CD pipelines enables banking teams to quickly deploy security updates, new financial products, or regulatory changes across relevant microservices, ensuring the system remains secure and compliant with minimal downtime.

Service Communication: 🗣️ Efficient communication between microservices is crucial. Implementing robust APIs and utilizing message queues can help manage inter-service communication effectively. Banking Example: 💬 In a banking application, ensuring that the transaction processing microservice can seamlessly communicate with the fraud detection and account management services is vital. Utilizing tools like Apache Kafka for message queuing can enhance communication reliability and performance.