Heimdall Proxy Enterprise Edition (ARM) has made a noticeable difference for our team by using caching in the project to remove repeated queries from the database depth, while read-write splitting allows us to do database replicas more effectively. Connection pooling also helps our teams when applications generate a large number of short-lived database connections. In our environment, we have seen 30 to 40% lower database CPU utilization on the workload benefiting from the caching, with around 35 to 40% average application response time. The best features Heimdall Proxy Enterprise Edition (ARM) offers include read-write splitting that routes read workloads to replicas while maintaining consistency for write operations, distributed query caching that has helped us reduce repetitive database queries reaching the underlying database, and connection pooling which assists us in managing connection spikes without requiring application-side connection management. Additionally, active proxy auto-scaling is very important to maintain availability as traffic increases. The impact of the auto-scaling feature on our operations is notable, as connection pooling has helped us lower the load, with 30 to 40% lower database utilization due to the splitting and pooling concept, and around 35 to 40% average application response time. Heimdall Proxy Enterprise Edition (ARM) has positively impacted our organization in many ways, with key outcomes such as saving around 40 to 45% for cacheable workloads, improving response times by around 35% for database-heavy transactions with read or write queries, achieving 35 to 40 hours per month saved in database performance troubleshooting and manual scaling activities, and saving approximately 500 hours annually from our engineering team. This makes a significant difference, alongside roughly 30% reduction in our database infrastructure growth requirements where the proxy was most effective.
