LogDNA Snags $50 Million for Data Observability Tech

Originally posted on securityweek.com by Ryan Naraine on December 07, 2021.

LogDNA, a late-stage startup that helps DevOps teams scour logs for signs of problems, has secured a new $50 million investment led by Dave DeWalt’s NightDragon venture capital firm.

In addition to NightDragon, Emergence Capital and Initialized Capital also participated in the latest financing.

The Series D funding round brings the total raised by the San Francisco company to $110 million and provides capital for LogDNA’s continued push into the log management and data observability market categories.

LogDNA, launched in 2015 by founders Chris Nguyen and Lee Liu, sells log management applications that provide insight into development and production environments. The company's technology lets corporate teams ingest, aggregate, and view log data regardless of data residency and infrastructure.

“Organizations need a comprehensive platform that ingests and normalizes massive amounts of data in the cloud and at hyperscale,” said Dave DeWalt, founder and managing director at  NightDragon, the VC firm that led the round.

LogDNA said the new fund will be used to speed up time to market for a new observability data pipeline product that will allow organizations to ingest all of their data to a single platform, normalize it, and seamlessly route it to the appropriate teams to take meaningful action quickly.

LogDNA chief executive Tucker Callaway said the funding lands as the company records “explosive growth” for its work to harness observability data across a broad set of enterprise use cases.

He said enterprise interest in observability is at an all-time high but, despite years of experimentation and investment in the space, companies still struggle with ease of use, interoperability and cost.

“The amount of data, the number of users, and the tools they use to access data are exploding. It’s the perfect storm, and the prevailing approach in the observability market today is to try and contain the storm in a single pane of glass. Sounds logical, but it’s making data-intensive innovation and operations more complicated, slower, and prone to risk,” Callaway said.

“It’s time to shift the focus from single pane of glass platforms,” The LogDNA CEO said.  “[Users] must be able to ingest and process data to a central point -- the pipeline -- and then route it to the tools where people are actually working, rather than force them to break their workflow to use a different tool,” Callaway added.