Cribl raises $200M to help enterprises do more with their data

At a time when remote work, cybersecurity attacks and increased privacy and compliance requirements threaten a company’s data, more companies are collecting and storing their observability data, but are being locked in with vendors or have difficulty accessing the data.

Enter Cribl. The San Francisco-based company is developing an “open ecosystem of data” for enterprises that utilizes unified data pipelines, called “observability pipelines,” to parse and route any type of data that flows through a corporate IT system. Users can then choose their own analytics tools and storage destinations like Splunk, Datadog and Exabeam, but without becoming dependent on a vendor.

The company announced Wednesday a $200 million round of Series C funding to value Cribl at $1.5 billion, according to a source close to the company. Greylock and Redpoint Ventures co-led the round and were joined by new investor IVP, existing investors Sequoia and CRV and strategic investment from Citi Ventures and CrowdStrike. The new capital infusion gives Cribl a total of $254 million in funding since the company was started in 2017, Cribl co-founder and CEO Clint Sharp told TechCrunch.

Sharp did not discuss the valuation; however, he believes that the round is “validation that the observability pipeline category is legit.” Data is growing at a compound annual growth rate of 25%, and organizations are collecting five times more data today than they did 10 years ago, he explained.

“Ultimately, they want to ask and answer questions, especially for IT and security people,” Sharp added. “When Zoom sends data on who started a phone call, that might be data I need to know so I know who is on the call from a security perspective and who they are communicating with. Also, who is sending files to whom and what machines are communicating together in case there is a malicious actor. We can also find out who is having a bad experience with the system and what resources they can access to try and troubleshoot the problem.”

Cribl also enables users to choose how they want to store their data, which is different from competitors that often lock companies into using only their products. Instead, customers can buy the best products from different categories and they will all talk to each other through Cribl, Sharp said.

Though Cribl is developing a pipeline for data, Sharp sees it more as an “observability lake,” as more companies have differing data storage needs. He explains that the lake is where all of the data will go that doesn’t need to go into an existing storage solution. The pipelines will send the data to specific tools and then collect the data, and what doesn’t fit will go back into the lake so companies have it to go back to later. Companies can keep the data for longer and more cost effectively.

Cribl said it is seven times more efficient at processing event data and boasts a customer list that includes Whole Foods, Vodafone, FINRA, Fannie Mae and Cox Automotive.

Sharp went after additional funding after seeing huge traction in its existing customer base, saying that “when you see that kind of traction, you want to keep doubling down.” His aim is to have a presence in every North American city and in Europe, to continue launching new products and growing the engineering team.

Up next, the company is focusing on go-to-market and engineering growth. Its headcount is 150 currently, and Sharp expects to grow that to 250 by the end of the year.

Over the last fiscal year, Cribl grew its revenue 293%, and Sharp expects that same trajectory for this year. The company is now at a growth stage, and with the new investment, he believes Cribl is the “future leader in observability.”

“This is a great investment for us, and every dollar, we believe, is going to create an outsized return as we are the only commercial company in this space,” he added.

Scott Raney, managing director at Redpoint Ventures, said his firm is a big enterprise investor in software, particularly in companies that help organizations leverage data to protect themselves, a sweet spot that Cribl falls into.

He feels Sharp is leading a team, having come from Splunk, that has accomplished a lot, has a vision and a handle on the business and knows the market well. Where Splunk is capturing the machine data and using its systems to extract the data, Cribl is doing something similar in directing the data where it needs to go, while also enabling companies to utilize multiple vendors and build apps to sit on top of its infrastructure.

“Cribl is adding opportunity by enriching the data flowing through, and the benefits are going to be meaningful in cost reduction,” Raney said. “The attitude out there is to put data in cheaper places, and afford more flexibility to extract data. Step one is to make that transition, and step two is how to drive the data sitting there. Cribl is doing something that will go from being a big business to a legacy company 30 years from now.”


By Christine Hall

Splunk acquires Plumbr and Rigor to build out its observability platform

Data platform Splunk today announced that it has acquired two startups, Plumbr and Rigor, to build out its new Observability Suite, which is also launching today. Plumbr is an application performance monitoring service, while Rigor focuses on digital experience monitoring, using synthetic monitoring and optimization tools to help businesses optimize their end-user experiences. Both of these acquisitions complement the technology and expertise Splunk acquired when it bought SignalFx for over $1 billion last year.

Splunk did not disclose the price of these acquisitions, but Estonia-based Plumbr had raised about $1.8 million, while Atlanta-based Rigor raised a debt round earlier this year.

When Splunk acquired SignalFx, it said it did so in order to become a leader in observability and APM. As Splunk CTO Tim Tully told me, the idea here now is to accelerate this process.

Image Credits: Splunk

“Because a lot of our users and our customers are moving to the cloud really, really quickly, the way that they monitor [their] applications changed because they’ve gone to serverless and microservices a ton,” he said. “So we entered that space with those acquisitions, we quickly folded them together with these next two acquisitions. What Plumbr and Rigor do is really fill out more of the portfolio.”

He noted that Splunk was especially interested in Plumbr’s bytecode implementation and its real-user monitoring capabilities, and Rigor’s synthetics capabilities around digital experience monitoring (DEM). “By filling in those two pieces of the portfolio, it gives us a really amazing set of solutions because DEM was the missing piece for our APM strategy,” Tully explained.

Image Credits: Splunk

With the launch of its Observability Suite, Splunk is now pulling together a lot of these capabilities into a single product — which also features a new design that makes it stand apart from the rest of Splunk’s tools. It combines logs, metrics, traces, digital experience, user monitoring, synthetics and more.

“At Yelp, our engineers are responsible for hundreds of different microservices, all aimed at helping people find and connect with great local businesses,” said Chris Gordon, Technical Lead at Yelp, where his team has been testing the new suite. “Our Production Observability team collaborates with Engineering to improve visibility into the performance of key services and infrastructure. Splunk gives us the tools to empower engineers to monitor their own services as they rapidly ship code, while also providing the observability team centralized control and visibility over usage to ensure we’re using our monitoring resources as efficiently as possible.”


By Frederic Lardinois

Splunk acquires cloud monitoring service SignalFx for $1.05B

Splunk, the publicly traded data processing and analytics company, today announced that it has acquired SignalFx for a total price of about $1.05 billion. Approximately 60 percent of this will be in cash and 40 percent in Splunk common stock.

Splunk acquires cloud monitoring service SignalFx for $1.05B

SignalFx, which emerged from stealth in 2015, provides real-time cloud monitoring solutions, predictive analytics and more. Upon close, Splunk argues, this acquisition will allow it to become a leader in “in observability and APM for organizations at every stage of their cloud journey, from cloud-native apps to homegrown on-premises applications.”

Indeed, the acquisition will likely make Splunk a far stronger player in the cloud space as it expands its support for cloud-native applications and the modern infrastructures and architectures those rely on.

Ahead of the acquisition, SignalFx had raised a total of $178.5 million, according to Crunchbase. Investors include General Catalyst, Tiger Global Management, Andreessen Horowitz and CRV. Its customers include the likes of AthenaHealth, Change.org, Kayak, NBCUniversal, and Yelp.

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“Data fuels the modern business, and the acquisition of SignalFx squarely puts Splunk in position as a leader in monitoring and observability at massive scale,” said Doug Merritt, President and CEO, Splunk, in today’s announcement. “SignalFx will support our continued commitment to giving customers one platform that can monitor the entire enterprise application lifecycle. We are also incredibly impressed by the SignalFx team and leadership, whose expertise and professionalism are a strong addition to the Splunk family.”


By Frederic Lardinois

Growing pains at venture-backed Moogsoft lead to layoffs

Eight months after bringing in a $40 million Series D, Moogsoft‘s co-founder and chief executive officer Phil Tee confirmed to TechCrunch that the IT incident management startup had shed 18 percent of its workforce or just over 30 employees.

The layoffs took place at the end of October; shortly after, Moogsoft announced two executive hires. Among the additions was Amer Deeba, who recently resigned from Qualys after the U.S. Securities and Exchange Commission charged him with insider trading.

Founded in 2012, San Francisco-based Moogsoft provides artificial intelligence for IT operations (AIOps) to help teams work more efficiently and avoid outages. The startup has raised $90 million in equity funding to date, garnering a $220 million valuation with its latest round, according to PitchBook. It’s backed by Goldman Sachs, Wing Venture Capital, Redpoint Ventures, Dell’s corporate venture capital arm, Singtel Innov8, Northgate Capital and others. Wing VC founder and long-time Accel managing partner Peter Wagner and Redpoint partner John Walecka are among the investors currently sitting on Moogsoft’s board of directors.

Tee, the founder of two public companies in Micromuse and Riversoft, admitted the layoffs affected several teams across the company. The cuts, however, are not a sign of a struggling business, he said, but rather a right of passage for a startup seeking venture scale.

“We are a classic VC-backed startup that has sort of grown up,” Tee told TechCrunch earlier today. “In pretty much every successful company, there is a point in time where there’s an adjustment in strategy … Unfortunately, when you do that, it becomes a question of do we have the right people?”

Moogsoft doubled revenue last year and added 50 Fortune 200 companies as customers, according to a statement announcing its latest capital infusion. Tee said he’s “extremely chipper” about the road ahead and the company’s recent C-suite hires.

Moogsoft’s newest hires, CFO Raman Kapur (left) and COO Amer Deeba (right).

Moogsoft announced its latest executive hires on Nov. 2, only one week after completing the round of layoffs, a common strategy for companies looking to cast a shadow on less-than-stellar news, like major staff cuts. Those hires include former Splunk vice president of finance Raman Kapur as Moogsoft’s first-ever chief financial officer and Amer Deeba, a long-time Qualys executive, as its chief operating officer.

Deeba spent the last 17 years at Qualys, a publicly-traded provider of cloud-based security and compliance solutions. In August, he resigned amid allegations of insider trading. The SEC announced its charges against Deeba on Aug. 30, claiming he had notified his two brothers of Qualys’ missed revenue targets before the company publicly announced its financial results in the spring of 2015.

“Deeba informed his two brothers about the miss and contacted his brothers’ brokerage firm to coordinate the sale of all of his brothers’ Qualys stock,” the SEC wrote in a statement. “When Qualys publicly announced its financial results, it reported that it had missed its previously-announced first-quarter revenue guidance and that it was revising its full-year 2015 revenue guidance downward. On the same day, Deeba sent a message to one of his brothers saying, ‘We announced the bad news today.’ The next day, Qualys’s stock price dropped 25%. Although Deeba made no profits from his conduct, Deeba’s brothers collectively avoided losses of $581,170 by selling their Qualys stock.”

Under the terms of Deeba’s settlement, he is ineligible to serve as an officer or director of any SEC-reporting company for two years and has been ordered to pay a $581,170 penalty.

Tee, for his part, said there was never any admission of guilt from Deeba and that he’s already had a positive impact on Moogsoft.

“[Deeba] is a tremendously impressive individual and he has the full confidence of myself and the board,” Tee said.

 


By Kate Clark

Elastic’s IPO filing is here

Elastic, the provider of subscription-based data search software used by Dell, Netflix, The New York Times and others, has unveiled its IPO filing after confidentially submitting paperwork to the SEC in June. The company will be the latest in a line of enterprise SaaS businesses to hit the public markets in 2018.

Headquartered in Mountain View, Elastic plans to raise $100 million in its NYSE listing, though that’s likely a placeholder amount. The timing of the filing suggests the company will transition to the public markets this fall; we’ve reached out to the company for more details. 

Elastic will trade under the symbol ESTC.

The business is known for its core product, an open source search tool called ElasticSearch. It also offers a range of analytics and visualization tools meant to help businesses organize large datasets, competing directly with companies like Splunk and even Amazon — a name it mentions 14 times in the filing.

Amazon offers some of our open source features as part of its Amazon Web Services offering. As such, Amazon competes with us for potential customers, and while Amazon cannot provide our proprietary software, the pricing of Amazon’s offerings may limit our ability to adjust,” the company wrote in the filing, which also lists Endeca, FAST, Autonomy and several others as key competitors.

This is our first look at the Elastic’s financials. The company brought in $159.9 million in revenue in the 12 months ended July 30, 2018, up roughly 100% from $88.1 million the year prior. Losses are growing at about the same rate. Elastic reported a net loss of $18.5 million in the second quarter of 2018. That’s an increase from $9.9 million in the same period in 2017.

Founded in 2012, the company has raised about $100 million in venture capital funding, garnering a $700 million the last time it raised VC, which was all the way back in 2014. Its investors include Benchmark, NEA and Future Fund, which each retain a 17.8%, 10.2% and 8.2% pre-IPO stake, respectively.

A flurry of business software companies have opted to go public this year. Domo, a business analytics company based in Utah, went public in June raising $193 million in the process. On top of that, subscription biller Zuora had a positive debut in April in what was a “clear sign post on the road to SaaS maturation,” according to TechCrunch’s Ron Miller. DocuSign and Smartsheet are also recent examples of both high-profile and successful SaaS IPOs.

 


By Kate Clark

Splunk nabs on-call management startup VictorOps for $120 M

In a DevOps world, the operations part of the equation needs to be on call to deal with issues as they come up 24/7. We used to use pagers. Today’s solutions like PagerDuty and VictorOps have been created to place this kind of requirement in a modern digital context. Today, Splunk bought VictorOps for $120 million in cash and Splunk securities.

It’s a company that makes a lot of sense for Splunk, a log management tool that has been helping customers deal with oodles of information being generated from back-end systems for many years. With VictorOps, the company gets a system to alert the operations team when something from that muddle of data actually requires their attention.

Splunk has been making moves in recent years to use artificial intelligence and machine learning to help make sense of the data and provide a level of automation required when the sheer volume of data makes it next to impossible for humans to keep up. VictorOps fits within that approach.

“The combination of machine data analytics and artificial intelligence from Splunk with incident management from VictorOps creates a ‘Platform of Engagement’ that will help modern development teams innovate faster and deliver better customer experiences,” Doug Merritt, president and CEO at Splunk said in a statement.

In a blog post announcing the deal, VictorOps founder and CEO Todd Vernon said the two companies’ missions are aligned. “Upon close, VictorOps will join Splunk’s IT Markets group and together will provide on-call technical staff an analytics and AI-driven approach for addressing the incident lifecycle, from monitoring to response to incident management to continuous learning and improvement,” Vernon wrote.

It should come as no surprise that the two companies have been working together even before the acquisition. “Splunk has been an important technical partner of ours for some time, and through our work together, we discovered that we share a common viewpoint that Modern Incident Management is in a period of strategic change where data is king, and insights from that data are key to maintaining a market leading strategy,” Vernon wrote in the blog post.

VictorOps was founded 2012 and has raised over $33 million, according to data on Crunchbase. The most recent investment was a $15 million Series B in December 2016.

The deal is expected to close in Splunk’s fiscal second quarter subject to customary closing conditions, according to a statement from Splunk.


By Ron Miller

Splunk turns data processing chops to Industrial IoT

Splunk has always been known as a company that can sift through oodles of log or security data and help customers surface the important bits. Today, it announced it was going to try to apply that same skill set to Industrial Internet of Things data.

IIoT is data found in manufacturing settings, typically come from sensors on the factory floor giving engineers and plant managers data about the health and well-being of the machines running in the facility. Up until now, that data hasn’t had a modern place to live. Traditionally, companies pull the data into Excel and try to slice and dice it to find the issues

Splunk wants to change that with Splunk Industrial Asset Intelligence (IAI). The latest product pulls data from a variety of sources where it can be presented to management and engineers with the information they need to see along with critical alerts.

The new product takes advantage of some existing Splunk tools being built on top of Splunk Enterprise, but instead of processing data coming from IT systems, it’s looking at Industrial Control Systems (ICS), sensors, SCADA (supervisory control and data acquisition) systems and applications and pulling all that data together and presenting it to the key constituencies in a dashboard.

It is not a simple matter, however, to set up these dashboards, pull the data from the various data sources, some of which may be modern and some quite old, and figure out what’s important for a particular customer. Splunk says it has turned to systems integrators to help with that part of the implementation.

Splunk understands data, but it also recognizes working in the manufacturing sector is new territory for them, so they are looking to SIs with expertise in manufacturing to help them work with the unique requirements of this group. But it’s still data says Ammar Maraqa. Splunk SVP of Business Operations And Strategy and General Manager of IoT Markets

“If you step back at the end of the day, Splunk is able to ingest and correlate heterogeneous sets of data to provide a view into what’s happening in their environments,” Maraqa said.

With today’s announcement, Splunk Industrial Asset Intelligence exits Beta for a limited release. It should be generally available sometime in the Fall.