Dec
01
2020
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AWS updates its edge computing solutions with new hardware and Local Zones

AWS today closed out its first re:Invent keynote with a focus on edge computing. The company launched two smaller appliances for its Outpost service, which originally brought AWS as a managed service and appliance right into its customers’ existing data centers in the form of a large rack. Now, the company is launching these smaller versions so that its users can also deploy them in their stores or office locations. These appliances are fully managed by AWS and offer 64 cores of compute, 128GB of memory and 4TB of local NVMe storage.

In addition, the company expanded its set of Local Zones, which are basically small extensions of existing AWS regions that are more expensive to use but offer low-latency access in metro areas. This service launched in Los Angeles in 2019 and starting today, it’s also available in preview in Boston, Houston and Miami. Soon, it’ll expand to Atlanta, Chicago, Dallas, Denver, Kansas City, Las Vegas, Minneapolis, New York, Philadelphia, Phoenix, Portland and Seattle. Google, it’s worth noting, is doing something similar with its Mobile Edge Cloud.

The general idea here — and that’s not dissimilar from what Google, Microsoft and others are now doing — is to bring AWS to the edge and to do so in a variety of form factors.

As AWS CEO Andy Jassy rightly noted, AWS always believed that the vast majority of companies, “in the fullness of time” (Jassy’s favorite phrase from this keynote), would move to the cloud. Because of this, AWS focused on cloud services over hybrid capabilities early on. He argues that AWS watched others try and fail in building their hybrid offerings, in large parts because what customers really wanted was to use the same control plane on all edge nodes and in the cloud. None of the existing solutions from other vendors, Jassy argues, got any traction (though AWSs competitors would surely deny this) because of this.

The first result of that was VMware Cloud on AWS, which allowed customers to use the same VMware software and tools on AWS they were already familiar with. But at the end of the day, that was really about moving on-premises services to the cloud.

With Outpost, AWS launched a fully managed edge solution that can run AWS infrastructure in its customers’ data centers. It’s been an interesting journey for AWS, but the fact that the company closed out its keynote with this focus on hybrid — no matter how it wants to define it — shows that it now understands that there is clearly a need for this kind of service. The AWS way is to extend AWS into the edge — and I think most of its competitors will agree with that. Microsoft tried this early on with Azure Stack and really didn’t get a lot of traction, as far as I’m aware, but it has since retooled its efforts around Azure Arc. Google, meanwhile, is betting big on Anthos.

Nov
11
2020
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Fishtown Analytics raises $29.5M Series B for its data engineering platform

Fishtown Analytics, the Philadelphia-based company behind the dbt open-source data engineering tool, today announced that it has raised a $29.5 million Series B round led by Sequoia Capital, with participation from previous investors Andreessen Horowitz and Amplify Partners.

The company is building a platform that allows data analysts to more easily create and disseminate organizational knowledge. Its focus is on data modeling, with its dbt tool allowing anybody who knows SQL to build data transformation workflows. Dbt also features support for automatically testing data quality and documenting changes, but maybe most importantly it uses standard software engineering techniques to help engineers collaborate on code and integrate changes continuously.

If this all sounds a bit familiar, it’s probably because you saw that Fishtown Analytics also announced a $12.9 million Series A round in April. It’s not often we see both a Series A and B round within half a year, but that goes to show how the market for Fishtown’s service is expanding as companies continue to grapple with how to best make use of their data — and how much investors want to be part of that. 

Image Credits: Fishtown

“This was a very productive thing for us,” Fishtown Analytics co-founder and CEO Tristan Handy told me when I asked him why he raised again so quickly. “It’s standard best practice to do quarterly catch-ups with investors and eventually you’ll be ready to fundraise. And Matt Miller from Sequoia showed up to one of these quarterly catch-ups and he shared the 40-page memo that he had written to the Sequoia partnership — and he came with the term sheet.”

Initially, Handy declined. “We’re very bullheaded people, I think, as many founders are. It took some real reflection and thinking about, ‘is this what we want to be doing right now?’ ”

In the end, though, the team decided to go ahead with this round — mostly because this round allowed the team to think long-term and provided stability and certainty.

One thing Handy has always been very clear about is that he did not found Fishtown to purely build the largest possible company but to solve its users’ problems, even as the market looked at companies like Databricks and Snowflake — and their financial success — as potential analogs. “My worry was that the financial markets were driving things that weren’t necessarily going to be good for our users,” Handy said.

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