Microservice is a small, loosely coupled service that is designed to perform a specific business function and each microservice can be developed, deployed, and scaled independently
How to manage high availability of the system:
horizontal scaling, load balancing, service discovery, and automated restarts, allowing applications to continue running even if individual components fail.
- Redundancy and Replication:
Deploy multiple instances of each microservice to ensure that if one instance fails, others can take over the load
Replication:
- Replicate data across multiple databases or storage systems to prevent data loss and ensure availability.
2. Load Balancing:
- Use load balancers to distribute incoming traffic across multiple instances of a microservice, preventing any single instance from being overloaded
- 3. Auto-Scaling
- Dynamic Scaling:
- Implement auto-scaling to automatically add or remove instances of a microservice based on the current load.
- Horizontal Scaling: - automatically scale out applications by creating more instances (pods) of a workload, ensuring that if one pod fails, others are available to handle traffic
- Service Discovery:
- 4. Failover and Fault Tolerance:
- Implement failover mechanisms that automatically redirect traffic to healthy instances when a service or instance fails.
- Use queues to decouple services and handle spikes in traffic, preventing overloads.
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