1. How to build scalable microservices?
The first step in creating scalable microservices is to develop autonomous and separated services that perform a certain task. Use APIs for smooth service-to-service communication. For scalability, use orchestration platforms like Kubernetes, and for deployment, use containerization technologies like Docker.
Thorough logging and monitoring can help you monitor performance. Load balancing and event-driven design are incorporated to manage dynamic demands and distribute resources equitably. Concentrate on a database-per-service architecture to avoid bottlenecks and improve data consistency.
2. What is an API gateway in microservices?
An API gateway serves as a single point of entry for client queries in a microservices architecture. By managing and forwarding requests to the relevant microservices, client interactions are simplified. Essential features include response aggregation, load balancing, rate limitation, and request authentication.
It improves performance and safety by relieving individual microservices of responsibilities like traffic management and permission. Kong and AWS API Gateway are commonly utilized tools for successfully implementing this component.
3. Which technology is best for microservices?
The particular requirements of your application will determine which microservices technology is ideal. Popular options consist of:
For orchestration and containerization, use Docker and Kubernetes.
A Java framework called Spring Boot creates scalable, lightweight microservices.
Node.js is well-known for how well it manages asynchronous processes.
gRPC: To facilitate effective service-to-service communication.
AWS & Azure: For scalability and cloud-based hosting.
Assessing elements like team experience, scalability requirements, and current infrastructure is necessary when selecting the best technology.
4. What are the three types of microservices?
According to their function within the system, microservices are frequently divided into three types:
Database microservices: Control data retrieval and storage while maintaining data integrity in dispersed systems.
Functional Microservices: Manage particular company operations, such as processing payments or user authentication.
Infrastructure Microservices: To support other services and provide shared utilities like logging, monitoring, and API gateways.
Each kind works together to provide an effective and scalable microservices architecture.