SOURCE: Tokutek, Inc.

Tokutek, Inc.

Tokutek, Inc.

July 16, 2014 09:00 ET

Tokutek and Datadog Partner to Offer a Monitoring & Performance Analysis Tool for TokuMX and TokuDB

Integration With Datadog Helps Customers More Easily Visualize and Tune Their Big Data Applications and the Supporting Infrastructure to Optimize Overall Performance

LEXINGTON, MA and NEW YORK, NY--(Marketwired - Jul 16, 2014) - Tokutek®, delivering database performance at scale, and Datadog, the SaaS-based monitoring and data analytics platform that provides a unified view of IT infrastructure, today announced that they are partnering to integrate their products and to offer new monitoring and analysis capabilities for Tokutek high-performance database solutions, TokuMX™ and TokuDB®. The integration is available immediately for TokuMX; support for TokuDB is under development and will be available soon.

The companies collaborated in order to offer TokuMX users an enterprise-grade, first-class extensible monitoring, analysis, alerting, and reporting framework that provides immediate, actionable insights into their big data application's performance.

"The integration between TokuMX and Datadog enables us to more easily visualize and tune our application and the supporting infrastructure to optimize overall performance," said Ankur Chauhan, senior software engineer, Brightcove. "That's a time and work saver for anyone who is building and deploying big data applications."

The integration of TokuMX with Datadog enables TokuMX users to monitor typical performance metrics, such as opcounter rates, connections, open cursors and replication metrics. Key TokuMX metrics and sample metric visualizations provided within Datadog include:

Opcounters - tracks dips or spikes that might indicate a problem with the servers or increased traffic that might require action;

Replication Lag - indicates lag in seconds for each secondary and shows a heatmap illustrating the distribution of lag in a cluster at all times;

Cachetable Utilization and Storage Size - follows resident memory used by all TokuMX servers, as well as the amount of storage used by each individual collection;

TokuMX Dashboard - provides out-of-the-box advanced visualization for key metrics to determine cluster health;

Customized Data Capabilities - enables users to choose how to display TokuMX metrics.

"With Datadog, users are able to go back into the data and understand when and how degradation occurs. They can trace the problem all the way back to a single MongoDB call," said Alexis Lê-Quôc, CTO & Co-Founder, Datadog. "Datadog takes care of the complex task of managing a monitoring system so that TokuMX customers can focus on using their metrics data to make better tuning decisions."

To learn more about the Tokutek partnership with Datadog:
Read the Datadog blog "Monitor key TokuMX metrics for MongoDB applications" for additional background and "test drive" instructions.

To learn more about TokuMX or TokuDB visit www.tokutek.com/products

About Tokutek Inc.
Tokutek is a performance database company that delivers Big Data capabilities to leading open source data management platforms. Its breakthrough technology lets customers build a new class of applications that handle unprecedented amounts of incoming data and scale with the data processing needs of tomorrow. Tokutek applies patented Fractal Tree® indexing to increase MySQL performance and MongoDB performance, decrease database size, and minimize downtime. The company is headquartered in Lexington, MA, and has offices in New York, NY. For more information, visit Tokutek.com or follow us on Twitter @Tokutek.

About Datadog
Datadog is a monitoring service that brings together data from servers, databases, applications, tools and services to present a unified view of the infrastructure. These capabilities are provided on a SaaS-based data analytics platform that enables Dev and Ops teams to work collaboratively on the infrastructure to avoid downtime, resolve performance problems and ensure that development and deployment cycles finish on time. For more information, visit https://www.datadoghq.com/

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