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Key Summary
- Overview: The article discusses why DevOps teams increasingly adopt microservices architectures to enhance software delivery, as highlighted by InApps Technology in 2022.
- Key Points:
- Microservices Defined:
- An architectural style where applications are built as small, independent services communicating via APIs.
- Each service focuses on a specific function, deployable and scalable independently.
- Why DevOps Favors Microservices:
- Agility: Independent services enable faster development and deployment cycles.
- Scalability: Individual components scale based on demand (e.g., only scale payment service during peak sales).
- Resilience: Isolated services limit failure impact (e.g., one service crash doesn’t affect others).
- Team Autonomy: Small teams own specific services, reducing coordination overhead.
- DevOps and Microservices Synergy:
- CI/CD Pipelines: Tools like Jenkins, GitLab CI automate testing and deployment for each microservice.
- Containerization: Docker packages services for consistent environments.
- Orchestration: Kubernetes (e.g., EKS, GKE) manages deployment, scaling, and networking.
- Monitoring: Prometheus, Grafana provide granular insights into service performance.
- GitOps: ArgoCD, Flux enable declarative deployments for microservices.
- Implementation:
- Break monolithic apps into services (e.g., user auth, inventory, payments).
- Use REST or gRPC for inter-service communication.
- Deploy services in containers via Kubernetes clusters.
- Automate testing (unit, integration) in CI/CD pipelines.
- Monitor with distributed tracing (e.g., Jaeger) for request tracking.
- Tools:
- Development: Spring Boot, Node.js for lightweight services.
- Messaging: Kafka, RabbitMQ for event-driven communication.
- Security: Istio, Linkerd for service mesh and mTLS.
- Testing: Postman, JUnit for API and unit tests.
- Trends in 2022:
- Rise of serverless microservices (e.g., AWS Lambda) for reduced management.
- Increased use of service meshes for advanced traffic control.
- Growing adoption of event-driven architectures for real-time processing.
- Microservices Defined:
- Use Cases:
- E-commerce platforms scaling checkout services during sales.
- Streaming services deploying independent video encoding microservices.
- Fintech apps isolating payment processing for compliance and security.
- Benefits:
- Faster time-to-market with parallel development and deployment.
- Improved fault isolation and system reliability.
- Flexible scaling reduces infrastructure costs.
- Empowers teams with ownership and specialized tech stacks.
- Challenges:
- Increased complexity in managing distributed systems.
- Higher operational overhead for monitoring and orchestration.
- Data consistency issues across services (e.g., eventual consistency).
- Security risks from exposed APIs require robust measures.
- Conclusion: In 2022, microservices align seamlessly with DevOps practices, as outlined by InApps Technology, enabling agility, scalability, and resilience through tools like Kubernetes and CI/CD pipelines, though managing complexity and security remains critical.
Read more about DevOps Favor Microservices – InApps at Wikipedia
You can find content about DevOps Favor Microservices – InApps from the Wikipedia website
Every application does not need to be decomposed into microservices, but the conventional wisdom is that the practice is becoming widespread. DZone’s recent survey of 605 software professionals sheds light on the matter: Twenty-six percent of respondents use a microservices architecture for at least one production application. Another 27 percent use microservices in development, leaving 47 percent having no exposure to that type of architecture.
The data reminds us that many hot trends cool off after an initial surge in adoption. However, digging deeper the survey also shows that microservices adoption is dramatically higher among the types of people that read InApps. In fact, 55 percent of those running containers in production also use microservices architecture for a production application. The correlation between DevOps is even more dramatic, with 81 percent of those using microservices in production also following continuous delivery or DevOps practices.
Microservice adoption is likely to continue, especially as best practices continue to evolve. Yet, with many applications not worth the effort of refactoring the progress will likely be gradual.
As a side note, DevOps and continuous delivery are 80 percent more likely to be practiced by those using microservices in production:
Feature image by David Sonluna on Unsplash.
Source: InApps.net
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