Unveiling Rapydo

Rapydo Emerges from Stealth: Revolutionizing Database Operations for a Cloud-Native World

In today's rapidly evolving tech landscape, the role of in-house Database Administrators (DBAs) has significantly shifted towards managed services like Amazon RDS, introducing a new era of efficiency and scalability. However, this transition hasn't been without its challenges. The friction between development and operations teams has not only slowed down innovation but also incurred high infrastructure costs, signaling a pressing need for a transformative solution. Enter Rapydo, ready to make its mark as we step out of stealth mode.

The Challenge

In the cloud-native ecosystem, databases represent a critical junction where efficiency meets scalability. The traditional approach to database management, characterized by manual, infrequent updates, has been replaced by a demand for agility and speed. Yet, this shift has brought its own set of challenges: exorbitantly high infrastructure costs to accommodate legacy code inefficiencies, frequent interference with database SLAs making them the weakest link in application scaling strategies, and a dire need for effective observability across expansive database fleets. Current tools focused on single-server insights fall short in managing large fleets of database instances, lacking real-time monitoring and actionable recommendations. Identifying queries or jobs that hog resources is one thing; fixing them with minimal development effort in large organizations is an entirely different ballgame.

How Rapydo DB OPS Platform is Changing the Way DB Operations Work?

Rapydo introduces a non-intrusive Observability Solution, capable of monitoring thousands of Managed DB Instances like Amazon RDS. It's not just about aggregating cross-database insights; Rapydo focuses on delivering implementable recommendations within seconds via Rapydo Cortex. This breakthrough approach eliminates database bottlenecks without any development efforts.

Focusing on our Cortex product, we empower operational teams—Site Reliability Engineers, Database Reliability Engineers, DevOps, and Platform Engineering teams—with granular control over the queries hitting the database. Cortex's unique, rule-based engine supports any query load, allowing companies to manage queries, users, or endpoints efficiently.

Key Benefits: A New Era of Database Management

Unparalleled Observability to Your Entire Databases Fleet

Rapydo Scout offers a comprehensive view of your database fleet, enabling you to identify bottlenecks and understand the root cause of issues, both historically and in real-time. It's not just about detection; Scout provides visibility into the specific queries or users contributing to these challenges.

Automate Your Solution to Any Bottleneck with Rapydo Cortex

Cortex's rule-based engine triggers actions such as caching, rate limiting, throttling, query rewriting, and rerouting to replicas in seconds—exclusively within the OPS team's purview. This powerful engine has enabled companies to drastically reduce incidents while cutting DB instance spending by 75%.

Speed Up Queries with Cortex Smart Caching

For read-heavy workloads, Cortex Smart Caching ensures that your query cache remains valid, offloading heavy repetitive queries and preserving your database's capacity for its primary role as the single source of truth. This innovation allows for the acceleration of queries from seconds or minutes to sub-milliseconds.

As Rapydo steps into the light, we're not just unveiling a new product; we're proposing a paradigm shift in how databases are managed in the cloud-native era. Join us as we redefine database operations, ensuring that your infrastructure is not just a component of your IT ecosystem but a dynamic, efficiently managed asset driving your business forward. Welcome to the future of database management, where innovation meets efficiency, powered by Rapydo.

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