Feb
10
2021
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Nobl9 raises $21M Series B for its SLO management platform

SLAs, SLOs, SLIs. If there’s one thing everybody in the business of managing software development loves, it’s acronyms. And while everyone probably knows what a Service Level Agreement (SLA) is, Service Level Objectives (SLOs) and Service Level Indicators (SLIs) may not be quite as well known. The idea, though, is straightforward, with SLOs being the overall goals a team must hit to meet the promises of its SLA agreements, and SLIs being the actual measurements that back up those other two numbers. With the advent of DevOps, these ideas, which are typically part of a company’s overall Site Reliability Engineering (SRE) efforts, are becoming more mainstream, but putting them into practice isn’t always straightforward.

Nobl9 aims to provide enterprises with the tools they need to build SLO-centric operations and the right feedback loops inside an organization to help it hit its SLOs without making too many trade-offs between the cost of engineering, feature development and reliability.

The company today announced that it has raised a $21 million Series B round led by its Series A investors Battery Ventures and CRV. In addition, Series A investors Bonfire Ventures and Resolute Ventures also participated, together with new investors Harmony Partners and Sorenson Ventures.

Before starting Nobl9, co-founders Marcin Kurc (CEO) and Brian Singer (CPO) spent time together at Orbitera, where Singer was the co-founder and COO and Kurc the CEO, and then at Google Cloud, after it acquired Orbitera in 2016. In the process, the team got to work with and appreciate Google’s site reliability engineering frameworks.

As they started looking into what to do next, that experience led them to look into productizing these ideas. “We came to this conclusion that if you’re going into Kubernetes, into service-based applications and modern architectures, there’s really no better way to run that than SRE,” Kurc told me. “And when we started looking at this, naturally SRE is a complete framework, there are processes. We started looking at elements of SRE and we agreed that SLO — service level objectives — is really the foundational part. You can’t do SRE without SLOs.”

As Singer noted, in order to adopt SLOs, businesses have to know how to turn the data they have about the reliability of their services, which could be measured in uptime or latency, for example, into the right objectives. That’s complicated by the fact that this data could live in a variety of databases and logs, but the real question is how to define the right SLOs for any given organization based on this data.

“When you go into the conversation with an organization about what their goals are with respect to reliability and how they start to think about understanding if there’s risks to that, they very quickly get bogged down in how are we going to get this data or that data and instrument this or instrument that,” Singer said. “What we’ve done is we’ve built a platform that essentially takes that as the problem that we’re solving. So no matter where the data lives and in what format it lives, we want to be able to reduce it to very simply an error budget and an objective that can be tracked and measured and reported on.”

The company’s platform launched into general availability last week, after a beta that started last year. Early customers include Brex and Adobe.

As Kurc told me, the team actually thinks of this new funding round as a Series A round, but because its $7.5 million Series A was pretty sizable, they decided to call it a Series A instead of a seed round. “It’s hard to define it. If you define it based on a revenue milestone, we’re pre-revenue, we just launched the GA product,” Singer told me. “But I think just in terms of the maturity of the product and the company, I would put us at the [Series] B.”

The team told me that it closed the round at the end of last November, and while it considered pitching new VCs, its existing investors were already interested in putting more money into the company and since its previous round had been oversubscribed, they decided to add to this new round some of the investors that didn’t make the cut for the Series A.

The company plans to use the new funding to advance its roadmap and expand its team, especially across sales, marketing and customer success.

Jan
17
2019
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Alation announces $50M Series C investment as data catalog biz takes off

Alation, a startup that helps crawl a company’s databases in order to build a data search catalog, announced a $50 million Series C investment today.

The round was led by Sapphire Ventures and Salesforce Ventures. Existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures also participated. Today’s investment brings the total raised to $82 million, according to Crunchbase data.

The participation of Sapphire Ventures, originally launched by SAP, and Salesforce Ventures, the venture arm of Salesforce, is particularly telling. One of the issues these enterprise software companies face when they go inside large enterprises is helping customer’s access and understand data wherever it lives. It’s one of the reasons that Salesforce bought MuleSoft for $6.5 billion last year.

This is a problem that employees face, as well. It’s simply inefficient to query multiple databases manually, or to even know what databases exist inside a large organization. Alation uses out-of-the-box connectors to connect to common data sources like Oracle, Redshift, Teradata, Spark and Tableau to create a centralized data catalog.

With that catalog in place, employees can search just as they would with any enterprise search engine, with the notable difference that this tool is focused strictly on structured data inside of supported data sources.

The company goes beyond pure matching to find the data an employee is searching for. Company CEO and co-founder Satyen Sangani says they also use a method to analyze usage to display the most likely result. “What differentiates us in particular is that we look at the logs of how people are using that information,” he explained. This is analogous to how Google uses the PageRank algorithm to measure the popularity of a page based on the number of times people link to a page.

Alation catalog page. Screenshot: Alation

It is certainly not alone in the space, with competitors like Alteryx and Informatica, but Alation’s approach seems to be resonating. Sangani reports triple-digit growth four years running. The company has soared from 89 employees at the end of last year to around 200 today. It boasts 100 large enterprise customers in production, including names like BMW, Hilton, American Express and Salesforce (whose investment arm, Salesforce Ventures also helped lead today’s round).

As the company grows rapidly, Sangani says he wants the capital in place to help fuel the increasing interest. The size and scope of his customers means that he will need to hire not just engineers to keep developing the product and building new connectors, but customer support and sales and marketing. In all, he expects to add between 100 and 200 employees in the next year.

He also wants to continue building out partnerships. As an example, Teradata is an authorized reseller, and has helped sell the product in global markets where a startup like Alation might lack the resources to enter.

Based in Redwood City, Calif., the company launched in 2012 and released the first version of the product in 2014. Its most recent round prior to today was a $23 million Series B in 2017.

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