Data observation firm Cribl raises $150 million

We’re excited to bring Transform 2022 back in person on July 19 and pretty much July 20-28. Join AI and data leaders for insightful conversations and exciting networking opportunities. Register today!


Criblia data observation platform used by companies such as Accenture, Domino’s and 7-Eleven has raised $150 million in a Series D funding round.

The increase comes as remote working has become a semi-permanent way of life for millions of workers around the world, and this “decentralized” workforce makes it more complex for companies to manage IT systems and data distributed across multiple locations. .

“Companies don’t have a streamlined way to use all that data and are crushed by the cost of trying,” Cribl co-founder and CEO Clint Sharp told VentureBeat.

Add to that the myriad digital transformation efforts businesses are making, and a growing need to engage with customers through a software-driven interface, and it’s clear that businesses will need to find ways to ensure minimum friction and maximum uptime.

“Today, almost every business is a ‘software company’ – whether you’re a bank or a retailer, software applications are now a primary way businesses interact with their customers, and if businesses don’t provide a great experience with those apps, their customers will go elsewhere. out,” said Sharp.

Visibility

But where exactly does Cribl end up in all of this? Well, Cribl occupies a space known as “observability,” which is concerned with giving companies visibility into their systems, including details of specific customer interactions, such as when they opened an app, what menu options they selected, and whether they encountered errors in the process. It’s all about getting real-time insights into an application’s internal health by monitoring a wide variety of telemetry data.

Founded in San Francisco in 2017, Cribl has offered four core products to date, including: AppScopeCribl.CloudCribl Edge† and the star of the show Cribl Streamtouted as a “sight pipeline” for transporting observation data between any source and destination.

The wider observable sphere includes established names such as Splunk, Snowflake and Elastic. But instead of competing directly with these platforms, it actually integrates with them so that companies can logs, metrics and traces to and from any source. According to Sharp, the most direct competitors are open-source “build-your-own” solutions such as: kafka or fluentDwhile the core of the USP is a “vendor agnostic” approach that helps companies move all their machine data.

“A common pain point we hear from our IT and security customers is that they use a lot of tools for all their functions, with data being passed to and from all functions – but there is no central control point,” explains Sharp. “This creates more complexity and huge cost inefficiencies. Cribl’s product suite is open and interoperable by design, meaning they can connect the different parts of the data ecosystem and give customers choice and control over all event data flowing through their corporate IT systems.”

Cribl founders: CEO Clint Sharp flanked by CTO Ledion Bitincka (right) and Dritan Bitincka (left)

decentralized

As of today, Cribl has thrown a fifth product into the mix with the announcement of Cribl Search, which allows companies to run “search-in-place” queries where the data is created, rather than taking in and centralizing everything first. This has important implications for real-time data access, especially for security teams who may want to eliminate “blind spots” using direct telemetry data.

This also follows a growing trend in the data infrastructure space, with companies steadily embracing decentralized data platforms rather than centralized data platforms. The more disparate systems a company has in its inventory, the harder it is to gain insights from the data they generate.

In terms of how a company could use Cribl searches, well the use cases are endless. A company with thousands of Kubernetes instances powering countless types of applications can generate several terabytes of telemetry data every day — the time it takes to transport all that information to a centralized repository for deeper analysis and troubleshooting can be the difference between winning and losing customers. Cribl Search brings all this sleuthing to the source of the data, allowing users to search for data stored in, for example, Splunk, Elasticsearch, or OpenSearch. In addition, it also allows users to search through data as it flows through Cribl Stream, or even when that data is stored “at rest” in what Cribl calls an “observability lake”, which is basically a data lake for logging data.

“Traditionally, if an application starts to perform poorly or encounter errors, the only way to debug that application is to forward the information and centrally store it,” said Sharp. “This adds unnecessary complexity and slows down the process of resolving the performance issue. With Cribl Search you can solve problems right on the edge, without having to move data first.”

Previously, Cribl had raised $252 million, and with a new $150 million in the bank, the company is well-funded to build out Cribl Search and get it ready for public launch – the product will be made available today in a private beta as part of an early access program.

A source associated with the deal confirmed to VentureBeat that Cribl’s latest Series D investment now values ​​the company at a hefty $2.5 billion — a sharp increase from the $1 billion valuation it reported during its Series C round. of $200 million less than a year ago.

Cribl’s Series D round was led by Tiger Global Management, with participation from Sequoia, Greylock, Redpoint Ventures, IVP and CRV.

The mission of VentureBeat is a digital city square for technical decision makers to gain knowledge about transformative business technology and transactions. Learn more about membership.