Jul
15
2021
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“Developers, as you know, do not like to pay for things”

In the previous part of this EC-1, we looked at the technical details of CockroachDB and how it provides accurate data instantaneously anywhere on the planet. In this installment, we’re going to take a look at the product side of Cockroach, with a particular focus on developer relations.

As a business, Cockroach Labs has many things going for it. The company’s approach to distributed database technology is novel. And, as more companies operate on a global level, CockroachDB has the potential to gain some significant market share internationally. The company is seven years into a typical 10-year maturity model for databases, has raised $355 million, and holds a $2 billion market value. It’s considered a double unicorn. Few database companies can say this.

The company is now aggressively expanding into the database-as-a-service space, offering its own technology in a fully managed package, expanding the spectrum of clients who can take immediate advantage of its products.

But its growth depends upon securing the love of developers while also making its product easier to use for new customers. To that end, I’m going to analyze the company’s pivot to the cloud as well as its extensive outreach to developers as it works to set itself up for long-term, sustainable success.

Cockroach Labs looks to the cloud

These days, just about any company of consequence provides services via the internet, and a growing number of these services are powered by products and services from native cloud providers. Gartner forecasted in 2019 that cloud services are growing at an annual rate of 17.5%, and there’s no sign that the growth has abated at all.

Its founders’ history with Google back in the mid-2000s has meant that Cockroach Labs has always been aware of the impact of cloud services on the commercial web. Unsurprisingly, CockroachDB could run cloud native right from its first release, given that its architecture presupposes the cloud in its operation — as we saw in part 2 of this EC-1.

May
02
2018
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Upbound grabs $9M Series A to automate multi-cloud management

Kubernetes, the open source container orchestration tool, does a great job of managing a single cluster, but Upbound, a new Seattle-based startup wants to extend this ability to manage multiple Kubernetes clusters across multi-cloud environment. It’s a growing requirement as companies deploy ever-larger numbers of clusters and choose a multi-vendor approach to cloud infrastructure services.

Today, the company announced a $9 million Series A investment led by GV (formerly Google Ventures) along with numerous unnamed angel investors from the cloud-native community. As part of the deal, GV’s Dave Munichiello will be joining the company board of directors.

It’s important to note that the company is currently working on the product and could be a year away from a release, but the vision is certainly compelling. As Upbound CEO and founder Bassam Tabbara says, his company’s solution could allow customers to run, scale and optimize their workloads across clusters, regions and clouds as a single entity.

That level of control could enable them to set rules and policies across those clusters and clouds. For example, a customer might control costs by creating a rule to find the cloud with lowest cost for processing a given job, or provide failover control across regions and clouds — all automatically. It would provide the general ability to have highly granular control across multiple environments that isn’t really possible now, Tabarra explained.

That vision of enterprise portability is certainly something that caught the eye of GV’s Munichiello. “Upbound presents a credible approach to multi-cloud computing built on the success of Kubernetes, and as a response to the growing enterprise demand for hybrid and multi-cloud environments,” he said in a statement.

Companies are working with multiple Kubernetes clusters today. As an example, CERN, the European physics organization is running 210 clusters. JD.com, the Chinese shopping site has over 20,000 servers running Kubernetes. The largest cluster is made up of 5000 servers. As these projects scale, they require a tool to help manage their workloads across these larger environments.

The company’s founder isn’t new to cloud-native computing or open source. Tabarra was part of the team responsible for producing the open source project, Rook, an offshoot of Kubernetes and a Cloud Native Computing Foundation Sandbox project.  Rook helps orchestrate distributed storage systems running in cloud native environments in a similar way that Kubernetes does for containerized environments. That project provided some of the ground work for what Upbound is trying to do on a broader scale beyond pure storage.

The computing world is suddenly all about abstraction. We started with virtual machines, which allowed you take an individual server and make it into multiple virtual machines. That led to containers, which could take the same machine in let you launch hundreds of containers. Kubernetes is an open source container orchestration tool that has rapidly gained acceptance by allowing operations to treat a cluster of Kubernetes nodes as a single entity, making it much easier to launch and manage containers.

Upbound launched last Fall and currently has 8 employees, but Tabbara says they are actively seeking new engineers. The nature of their business is about distributed workloads and he says the workforce will be similar. They won’t have to work in Seattle. He says the plan is to use and contribute to open source whenever possible and to open source parts of the product when it’s available.

Aug
07
2017
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IBM touts improved distributed training time for visual recognition models

 Two months ago, Facebook’s AI Research Lab (FAIR) published some impressive training times for massively distributed visual recognition models. Today IBM is firing back with some numbers of its own. IBM’s research groups says it was able to train ResNet-50 for 1k classes in 50 minutes across 256 GPUs — which is just the polite way of saying “my model trains faster than… Read More

May
10
2017
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Cockroach Labs announces $27M Series B and enterprise tier for its reliable database

 “A database that replicates itself and is meant to survive” — that was the connection that Cockroach Labs CEO Spencer Kimball made between the startup’s memorable name and its value proposition. Despite entering a crowded market, Cockroach has been able to gain the favor of some of the best known VCs in tech. Today’s $27 million Series B is being led by… Read More

Dec
12
2016
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Big data expert Flavio Villanustre talks about the future of massive data stores

Flavio Villanustre is an expert in Big Data. He and his team at an offshoot of LexisNexis created a massive open source product aimed at allowing first-timers to spin up huge data stores. The product, called HPCC, is a way to bring parallel computing and strong data processing to big data. The best thing? Flavio is a friendly guy with a lot of ideas about what it will take to bring big data… Read More

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