Recently, I came across a thought-provoking LinkedIn post that invited discussions on key aspects of microservices architecture. The post inspired me to dive deeper into the topic and share my insights.
In this article, I will review each point raised in the original discussion, addressing the challenges, best practices, and solutions surrounding microservices. My goal is to contribute meaningfully to the conversation both on LinkedIn and here, while fostering a better understanding of this modern approach to software development.
If you’re curious, you can find the original post here: LinkedIn Post.
The content of the post is as follows:
Microservices are a software development architecture that has many advantages over monolithic architectures. Some reasons to use microservices include scalability, faster development, improved modularity, agility, and better data governance.
▷ Docker
- Manages containers through Docker Daemon.
- Uses a registry to store container images.
- Clients can interact with the service or host to deploy containers.
Response here: https://blog.onnasoft.us/docker-in-microservices-architecture/
▷ Container Orchestration
- Manages multiple containers and nodes.
- Example: Kubernetes is the orchestrator for deploying and managing containerized applications.
Response here: https://blog.onnasoft.us/container-orchestration-aws-vs-kubernetes/
▷ Caching
- Improves application performance by using distributed caches.
- Reduces database load by temporarily storing frequently accessed data.
Response here https://blog.onnasoft.us/mastering-caching-strategies-and-real-world-examples-to-boost-system-performance/.
▷ Single DB
- Multiple services (Service A, Service B, Service C) connect to a single, shared database.
- Simplifies data consistency but can create a bottleneck.
Response here https://blog.onnasoft.us/why-using-a-single-database-for-multiple-services-is-a-recipe-for-disaster/.
▷ Distributed Tracing
- Tracks requests across multiple services in a microservices architecture.
- Useful for troubleshooting and monitoring service interactions.
Response here https://blog.onnasoft.us/distributed-tracing-done-right-tagged-logs-and-unified-request-identifiers-in-microservices/.
▷ Monitoring and Tracing
- Provides visibility across frontend and backend components.
- Ensures performance monitoring and issue detection across services.
Response here https://blog.onnasoft.us/effective-monitoring-and-tracing-ownership-and-best-practices-for-microservices/.
▷ Logging
- Centralizes logs from different microservices (Microservice 1, Microservice 2).
- Allows for easier tracking and troubleshooting of issues.
Response here https://blog.onnasoft.us/centralized-logging-benefits-pitfalls-and-best-practices-for-microservices/.
▷ Event Bus
- Facilitates communication between microservices through an event-driven architecture.
- Ensures asynchronous processing of events across services.
Response here https://blog.onnasoft.us/event-bus-in-microservices-when-to-use-it-and-when-to-avoid-it/.
▷ Service Discovery
- Helps services find each other automatically.
- Uses a service registry and load balancer to connect service providers and consumers.
Response here https://blog.onnasoft.us/service-discovery-a-pillar-of-modern-architectures/.
▷ Load Balancing
- Distributes incoming requests evenly across multiple servers.
- Improves application scalability and fault tolerance.
Response here https://blog.onnasoft.us/load-balancers-redefining-traffic-management-with-real-sync/.
▷ API Gateway
- Acts as a single entry point for clients to access multiple services.
- Handles routing, authentication, and rate limiting.
Response here. https://blog.onnasoft.us/api-gateways-mas-alla-de-la-nube-con-onnasoft/
▷ Cloud Provider
- Hosts infrastructure in the cloud for scalability.
- Allows for flexible resource provisioning and management.
Response here https://blog.onnasoft.us/why-aws-stands-out-as-the-cloud-provider-of-choice-for-scalable-and-cost-effective-solutions/.
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