Visualize metrics from all your databases for a full picture of performance and early detection of SLA threats.
Free up engineering resources by automating tedious tasks like finding and optimizing poorly written queries.
Harness real-time observability to detect and resolve problems so they never impact your customers.
Real-time, non-intrusive observability so you can stay on top of your database
Experience the benefits of health reports, alerts, expense tracking, and trend analysis. Start detecting patterns, repetitive queries, and database demand shifts in minutes.
Automate fixes to keep your database blazingly fast and unwaveringly reliable
Cortex helps you make time-consuming optimizations in seconds. Automate query rewriting, caching, rate limiting, and other tedious tasks that bog down your engineers.
Use Rapydo Scout to understand both real-time and historical query performance so you can quickly identify and resolve bottlenecks and query locks to keep your database running smoothly.
Leverage extensive observability tools to detect production issues in real time so you can resolve promptly, ensuring continuous and reliable database performance.
Automatically improve database performance with query rewriting—to accelerate poorly written queries—and caching—to store frequently executed queries.
Instantly run SQL scripts across multiple RDS instances. Gain cross-database visibility so you can compare results to ensure consistency in schemas.
Selectively throttle queries so you can prioritize business-critical tenants in your database, ensuring optimal performance for your most important customers.
Consistently maintain an open connection to each of your databases so you can avoid restarts and downtime caused by availability issues.
Flatten problematic demand spikes with configurable query blocking and throttling to ensure your database is handling queries in series, not in parallel.
Analyze every second in the five minutes leading up to a database crash so you can understand and fix recurring issues that cause service interruptions.
Monitor up to 1,000 database instances in a single hub. Compare metrics from MySQL system tables and the RDS API to highlight issues related to CPU usage, I/O spikes, DB locks, and client connections.
Stay on top of configuration changes across all your databases to ensure that drifts are quickly discovered and fixed so production is always running as expected.
Monitor latency, query execution times, and demand spikes so you can resolve issues before they impact customers.
.png)
.png)
Automatically cache frequently executed queries to cut response times and improve database performance. Rapydo supports both cache invalidation and TTL-based caching.
Maximize speed and prevent issues by creating customized rules that set rate limits, protect production data, rewrite problematic queries, and more.
.png)
See the full history of metrics like query runtime and the number of executions with time machine capabilities for your databases.
.png)
Stay on top of your databases with configurable notifications for things like repetitive queries, resource overutilization, and suspicious query patterns.
Rapydo and AWS RDS Performance Insights both offer database performance monitoring, but Rapydo excels with its advanced automation, custom rules, and cache management tailored specifically for MySQL. While AWS integrates well with its ecosystem, Rapydo provides deeper optimization and proactive management. For MySQL performance, Rapydo is the superior choice.