Category: gitlab

Inside GitLab’s IPO filing



While the technology and business world worked towards the weekend, developer operations (DevOps) firm GitLab filed to go public. Before we get into our time off, we need to pause, digest the company’s S-1 filing, and come to some early conclusions.

GitLab competes with GitHub, which Microsoft purchased for $7.5 billion back in 2018.

The company is notable for its long-held, remote-first stance, and for being more public with its metrics than most unicorns — for some time, GitLab had a November 18, 2020 IPO target in its public plans, to pick an example. We also knew when it crossed the $100 million recurring revenue threshold.

Considering GitLab’s more recent results, a narrowing operating loss in the last two quarters is good news for the company.

The company’s IPO has therefore been long expected. In its last primary transaction, GitLab raised $286 million at a post-money valuation of $2.75 billion, per Pitchbook data. The same information source also notes that GitLab executed a secondary transaction earlier this year worth $195 million, which gave the company a $6 billion valuation.

Let’s parse GitLab’s growth rate, its final pre-IPO scale, its SaaS metrics, and then ask if we think it can surpass its most recent private-market price. Sound good? Let’s rock.

The GitLab S-1

GitLab intends to list on the Nasdaq under the symbol “GTLB.” Its IPO filing lists a placeholder $100 million raise estimate, though that figure will change when the company sets an initial price range for its (Read more...)

Iterative raises $20M for its MLOps platform



Iterative, an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. Previous investors True Ventures and Afore Capital also participated in this round, which brings the company’s total funding to $25 million.

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack.

After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013. He noted that the industry has changed quite a bit since then. While early on, the questions were about how to build machine learning models, today the problem is how to build predictable processes around machine learning, especially in large organizations with sizable teams. “How can we make the team productive not the person? This is a new challenge for the entire industry,” he said.

Big companies (like Microsoft) were able to build their own proprietary tooling and processes to build their AI operations, Petrov noted, but that’s not an option for smaller companies.

Currently, Iterative’s stack consists of a couple of different components that sit on top of tools like GitLab and GitHub. These include DVC for running experiments and data and model versioning, CML, the company’s CI/CD platform for machine learning, and the company’s newest product, Studio, its SaaS (Read more...)

Iterative raises $20M for its MLOps platform



Iterative, an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. Previous investors True Ventures and Afore Capital also participated in this round, which brings the company’s total funding to $25 million.

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack.

After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013. He noted that the industry has changed quite a bit since then. While early on, the questions were about how to build machine learning models, today the problem is how to build predictable processes around machine learning, especially in large organizations with sizable teams. “How can we make the team productive not the person? This is a new challenge for the entire industry,” he said.

Big companies (like Microsoft) were able to build their own proprietary tooling and processes to build their AI operations, Petrov noted, but that’s not an option for smaller companies.

Currently, Iterative’s stack consists of a couple of different components that sit on top of tools like GitLab and GitHub. These include DVC for running experiments and data and model versioning, CML, the company’s CI/CD platform for machine learning, and the company’s newest product, Studio, its SaaS (Read more...)

Cycode raises $20M to secure DevOps pipelines



Israeli security startup Cycode, which specializes in helping enterprises secure their DevOps pipelines and prevent code tampering, today announced that it has raised a $20 million Series A funding round led by Insight Partners. Seed investor YL Ventures also participated in this round, which brings the total funding in the company to $24.6 million.

Cycode’s focus was squarely on securing source code in its early days, but thanks to the advent of infrastructure as code (IaC), policies as code and similar processes, it has expanded its scope. In this context, it’s worth noting that Cycode’s tools are language and use case agnostic. To its tools, code is code.

“This ‘everything as code’ notion creates an opportunity because the code repositories, they become a single source of truth of what the operation should look like and how everything should function, Cycode CTO and co-founder Ronin Slavin told me. “So if we look at that and we understand it — the next phase is to verify this is indeed what’s happening, and then whenever something deviates from it, it’s probably something that you should look at and investigate.”

Cycode Dashboard

Cycode Dashboard. Image Credits: Cycode

The company’s service already provides the tools for managing code governance, leak detection, secret detection and access management. Recently it added its features for securing code that defines a business’ infrastructure; looking ahead, the team plans to add features like drift detection, integrity monitoring and alert prioritization.

“Cycode is here to protect the entire CI/CD pipeline — (Read more...)