Defeat Downtime.
Cut Costs.
In One Beautiful Interface.

Meet Rapydo — the all-in-one database management and optimization tool for AWS RDS and Aurora. Rapydo gives you one clear view across thousands of instances, and innovative tools to reduce CPU load, pinpoint stressing issues, and save up to 75% on RDS costs. It’s your always-on DBA for leveling up your databases.

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Trusted by savvy customers and innovative partners

Trax, a leading AI and computer vision company for the physical retail sector, needed a solution to manage unpredictable database performance across hundreds of clients. With each client operating under different Service Level Agreements (SLAs) and usage patterns, ensuring consistent performance was a constant challenge. Scaling databases in response to performance issues led to soaring costs, without addressing the root of the problem.

Solutions for DevOps, platform engineering, and site reliability teams

Rapydo Scout

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.

Rapydo Cortex

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.

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Observe and manage multiple databases

Visualize metrics from all your databases for a full picture of performance and early detection of SLA threats.

Reduce friction between Dev and Ops

Free up engineering resources by automating tedious tasks like finding and optimizing poorly written queries.

Comply with your database SLAs

Harness real-time observability to detect and resolve problems so they never impact your customers.

Why Rapydo?

Real-world use cases

Discover how Rapydo can help you save countless engineering hours.

Bottleneck analysis

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.

Issue detection

Leverage extensive observability tools to detect production issues in real time so you can resolve promptly, ensuring continuous and reliable database performance.

Query optimization

Automatically improve database performance with query rewriting—to accelerate poorly written queries—and caching—to store frequently executed queries.

Multi-RDS script execution

Instantly run SQL scripts across multiple RDS instances. Gain cross-database visibility so you can compare results to ensure consistency in schemas.

Tenant QoS management

Selectively throttle queries so you can prioritize business-critical tenants in your database, ensuring optimal performance for your most important customers.

Connection assurance

Consistently maintain an open connection to each of your databases so you can avoid restarts and downtime caused by availability issues.

Load management

Flatten problematic demand spikes with configurable query blocking and throttling to ensure your database is handling queries in series, not in parallel.

Crash insights

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.

Unified visibility

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.

Drift detection

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.

Key features

Troubleshoot in real time

Monitor latency, query execution times, and demand spikes so you can resolve issues before they impact customers.

Smart caching

Automatically cache frequently executed queries to cut response times and improve database performance. Rapydo supports both cache invalidation and TTL-based caching.

Automate with rules

Maximize speed and prevent issues by creating customized rules that set rate limits, protect production data, rewrite problematic queries, and more.

Understand historical trends

See the full history of metrics like query runtime and the number of executions with time machine capabilities for your databases.

Get actionable alerts

Stay on top of your databases with configurable notifications for things like repetitive queries, resource overutilization, and suspicious query patterns.

Stay in the loop on tips and tools for managing your cloud database

Rapydo vs AWS CloudWatch: Optimizing AWS RDS MySQL Performance

October 6, 2024

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Rapydo

The blog compares AWS CloudWatch and Rapydo in terms of optimizing AWS RDS MySQL performance, highlighting that while CloudWatch provides general monitoring, it lacks the MySQL-specific insights necessary for deeper performance optimization. Rapydo, on the other hand, offers specialized metrics, real-time query analysis, and automated performance tuning that help businesses improve database efficiency, reduce costs, and optimize MySQL environments.

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Ready to level up your cloud database?

With Rapydo, you get the insights you need to act quickly and nip database issues in the bud before they impact customers.