Architectural Patterns for High Availability
Designing highly available systems is made easier by a number of architectural patterns:
1. Active-Passive (Failover)
In this pattern, one system (passive) stays idle while the other (active) responds to incoming requests .The passive system steps in to maintain service continuity in the event that the active system fails..
2. Active-Active (Load Balancing)
In an active-active configuration, several systems manage incoming requests concurrently, dividing the workload equally among them. High availability and scalability are guaranteed by load balancers, which distribute requests in accordance with preset algorithms.
3. Master slave(Replication)
The master-slave pattern, also known as replication, entails copying data to one or more slave nodes from a master database or system. To guarantee constant data availability in the event of a failure, one of the slave nodes may be elevated to the master role.
4. Geographic Redundancy (Disaster Recovery)
This technique includes setting up redundant data centers and systems in various geographic locations. This pattern guarantees data availability and business continuity even in the case of localized outages or disasters.
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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