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‼️ Limited High Availability – Single node risked extended downtime with no redundancy.
‼️ Scalability Constraints – Read-heavy workloads choked the standalone instance.
‼️ Manual Failover & Poor Load Distribution – Human intervention caused slow recovery and overloaded primary node.
→ Ensure High Availability through automated failover.
→ Distribute Read Workloads to reduce primary node pressure.
→ Scale Seamlessly by leveraging read replicas.
→ Minimize Manual Intervention with automation.
→ Optimize Query Performance via intelligent traffic routing.
The primary node was configured for write operations, ensuring data consistency while offloading read traffic to read replicas in multiple Availability Zones (AZs). Automatic failover capabilities were implemented to minimize downtime by promoting a read replica to the primary role if the primary node failed.
Multiple read replicas were added in different AZs to handle read-heavy workloads, thus offloading the primary node. This setup allowed the system to scale horizontally by distributing read traffic across replicas, ensuring faster query responses during high-load periods.
ProxySQL was implemented between the application and RDS nodes to intelligently route write traffic to the primary node and read traffic to the replicas. This ensured efficient traffic distribution, optimized resource usage, and prevented performance degradation of the primary node.
ProxySQL’s failover management allowed for seamless traffic rerouting in case of a failover event, ensuring that the application would continue to function smoothly during node failures.
This is the main node responsible for handling all write operations.
Applications send write requests directly to this node to ensure data consistency.
In the event of a failure, Amazon RDS automatically fails over to a secondary node, minimizing downtime.
These are additional nodes within the Multi-AZ setup that replicate data from the primary node.
They handle read-only queries, which offloads traffic from the primary node and increases read throughput.
By distributing read operations across multiple replicas, the system can scale horizontally to handle more read traffic.
Amazon RDS Multi-AZ offers built-in failover for high availability.If the primary node fails, one of the read replicas is promoted to the primary role, ensuring continuity of service.
The ProxySQL cluster is placed between the application and the RDS nodes.
ProxySQL intelligently routes traffic to the appropriate node based on the type of operation: write traffic is directed to the primary node, while read traffic is load-balanced across the read replicas.
This ensures efficient use of resources, as read replicas are utilized for read-heavy workloads without impacting the primary node’s performance.
ProxySQL clustering provides redundancy and high availability for the proxy layer.
If one ProxySQL instance fails, others can continue handling traffic, reducing the risk of a single point of failure in traffic routing.
ProxySQL is capable of detecting changes in the cluster (such as failovers) and automatically rerouting traffic to the new primary node.
This minimizes disruption during failover events, providing a seamless experience for applications and end-users.
Offloading reads to replicas prevents read-heavy workloads from overwhelming the primary node, resulting in faster query response times.
This also allows the primary node to focus on handling write operations, enhancing overall performance.
Read scalability is achieved by adding more read replicas as demand increases.
Horizontal scaling is possible for read traffic, allowing the system to handle more concurrent users and higher volumes of read requests.
The Multi-AZ setup with automatic failover ensures minimal downtime in case of node failure.
The ProxySQL cluster adds another layer of resilience, allowing traffic to be routed seamlessly even if one proxy node goes down.
ProxySQL provides advanced query routing, logging, and connection pooling, which helps manage database connections more effectively and reduce overhead on the RDS nodes.
The architecture also supports monitoring and tuning capabilities that can help in optimizing database performance and cost.
The Multi-AZ setup provided automatic failover capabilities, which minimized downtime. The architecture ensured that the system could recover swiftly in the event of a failure, with read replicas taking over the primary role when necessary.
The introduction of read replicas allowed the system to handle more concurrent users by distributing read traffic across multiple nodes. This resulted in horizontal scaling, enabling the system to efficiently manage increasing read-heavy workloads without affecting write performance.
Offloading read traffic to replicas led to faster query response times, improving the performance of the application. The primary node could focus solely on write operations, enhancing the overall system efficiency.
The implementation of ProxySQL provided intelligent load balancing, ensuring that read and write operations were optimally distributed across the appropriate nodes. This led to better resource utilization and reduced the chances of performance bottlenecks.
With automatic failover and seamless traffic rerouting provided by ProxySQL, the client’s team no longer needed to manually manage failovers or deal with traffic routing complexities. This reduced operational overhead and allowed the team to focus on higher-level tasks.
The architecture improvements led to better business continuity by minimizing disruptions during failures or high-load periods. The enhanced performance and availability resulted in an improved user experience, leading to higher satisfaction among the client’s end-users.
The scalable architecture positioned the client for future growth by allowing the easy addition of read replicas as demand increased, ensuring that their infrastructure could keep pace with evolving business needs.
This transformation positioned the client’s database infrastructure for both high resilience and future scalability. The powerful combination of RDS Multi-AZ and ProxySQL delivered consistent performance, minimized downtime, and offloaded operational effort—clearly reflecting Mydbops’ database expertise in cloud environments.
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