Challenges and Tradeoffs in Achieving High Availability
- Cost: Adding redundancy, replication, and geographic redundancy to a system requires spending more on infrastructure, software, and hardware.
- Complexity: Designing, implementing, and maintaining highly available systems typically requires specialized knowledge and abilities.
- Performance Overhead: By using more resources and requiring more processing, the introduction of redundancy and fault tolerance techniques can result in performance overhead.
- Data Consistency: Partition tolerance, availability, and consistency must all be traded off in order to maintain data consistency and synchronization across distributed systems (CAP theorem).
How Do We Design for High Availability?
High system availability is crucial for companies in a variety of industries in the current digital era, as system outages can cause large losses. High availability is the capacity of a system to continue functioning and being available to users despite errors in software, hardware, or other disruptions. In this article, we will deep dive into the specification and design to achieve high availability.
Important Topics for Designing for High Availability
- What is High Availability?
- Factors Influencing Availability
- Design Considerations for High Availability
- Architectural Patterns for High Availability
- Technologies and Tools for High Availability
- Best Practices for Designing Highly Available Systems
- Real-World Examples of high-availability Systems
- Challenges and Tradeoffs in Achieving High Availability
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