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December 10, 2018
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cloud computing

Kong launches its fully managed API platform

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API platform Kong, which you may remember under its previous name of Mashape, is launching its new Kong Cloud service today. Kong Cloud is the company’s fully managed platform for securing, connecting and orchestrating APIs. Enterprises can deploy it to virtually any major cloud platform, including AWS, Azure and Google Cloud, and Kong will handle all of the daily drudgery of managing it for them.

At the core of Kong Cloud is Kong, the company’s open source microservices gateway. The company already offers an enterprise version of Kong under the Kong Enterprise brand, but it’s up to enterprises to manage this version by themselves.

“Customers running Kong Enterprise on-prem and self-managed are often running it multi cloud. They are running it from  AWS, to Azure, Google Cloud, Pivotal Cloud Foundry or bare metal. It’s all over the place,” Kong co-founder, president and CEO Augusto Marietti told me. “But not all of them have massive engineering organizations, so Kong multi-cloud is our managed version of Kong as a service that can run on any cloud.”

With Kong Cloud, the company monitors and manages the service, giving enterprises an end-to-end API platform and developer portal. The company handles updates and all the other operational tasks. In terms of the overall functionality (think governance, security features etc.), this is essentially Kong Enterprise. Indeed, Marietti stressed that the two are meant to be one-to-one compatible, in part because he expects that some companies will use both versions, depending on their teams’ needs.

Marietti told me that Kong now has more than 85 employees and more than 100 enterprise customers. These include the likes of Zillow, Soulcycle and Expedia. Year-over-year, the company tells me, its bookings have grown 9x and the Kong open-source tool has now been downloaded more than 54 million times.

The company rebranded as Kong in October 2017, in part to signify that its ongoing focus would be on microservices in the enterprise and the Kong tool, which it open sourced in 2015. Ahead of its rebranding exercise, Mashape/Kong sold off its API marketplace to RapidAPI. The marketplace was the company’s first product — and Kong was in part developed to support it — but in the end, the company decided that its focus was going to be on Kong itself. That move seems to be paying off now, as enterprises are moving to adopt microservices and often need partners to do so.

News Source = techcrunch.com

Solo.io raises $11M to help enterprises adopt cloud-native technologies

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Solo.io, a Cambridge, Mass-based startup that helps enterprises adopt cloud-native technologies, is coming out of stealth mode today and announcing both its Series A funding round and the launch of its Gloo Enterprise API gateway.

Redpoint Ventures led the $11 million Series A round, with participation from seed investor True Ventures . Like most companies at the Series A state, Solo.io plans to use the money to invest in the product development of its enterprise and open-source tools, as well as to grow its sales and marketing teams.

Solo.io offers a number of open-source tools, like the Gloo function gateway, the Sqoop GraphQL server and the SuperGloo (see a theme here?) service mesh orchestration platform. In addition, the team has also, among others, open-sourced its Kubernetes debugger, a tool for building and running unikernels.

Its first commercial offering, though, is an enterprise version of the Gloo function gateway. Built on top of the Envoy proxy, Gloo can handle the routing necessary to connect incoming API requests to microservices, serverless applications (on the likes of AWS Lambda) and traditional monolithic applications behind the proxy. Gloo handles the load balancing and other functions necessary to aggregate the incoming API requests and route them to their destinations.

“Costumers who use Gloo to connect between microservices and serverless found that invocation of [AWS] Lambda is 350ms faster than the AWS API Gateway,” Idit Levine, the founder and CEO of Solo.io, told me. “Gloo also offers them direct money saving, since AWS bills per invocation. In general, Gloo offers money saving because it allows our clients to use the less expensive technologies — like their legacy apps, and sometimes containers — whenever they can, and limit the use of more expensive stuff to whenever it’s necessary.”

The enterprise version adds features like audit controls, single sign-on and more advanced security tools to the platform.

In addition to broadening its customer base, the company plans to invest heavily into its customer success and support teams, as well as its evangelism and education efforts, Levine tells me.

“Helping enterprises easily adopt innovative technologies like microservices, serverless and service mesh is our goal at Solo.io,” Levine in today’s announcement. “Melding different technologies into one coherent environment, by supplying a suite of tools to route, debug, manage, monitor and secure applications, lets organizations focus on their software without worrying about the complexity of the underlying environment.”

News Source = techcrunch.com

Contentful raises $33.5M for its headless CMS platform

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Contentful, a Berlin- and San Francisco-based startup that provides content management infrastructure for companies like Spotify, Nike, Lyft and others, today announced that it has raised a $33.5 million Series D funding round led by Sapphire Ventures, with participation from OMERS Ventures and Salesforce Ventures, as well as existing investors General Catalyst, Benchmark, Balderton Capital and Hercules. In total, the company has now raised $78.3 million.

It’s only been less than a year since the company raised its Series C round and as Contentful co-founder and CEO Sascha Konietzke told me, the company didn’t really need to raise right now. “We had just raised our last round about a year ago. We still had plenty of cash in our bank account and we didn’t need to raise as of now,” said Konietzke. “But we saw a lot of economic uncertainty, so we thought it might be a good moment in time to recharge. And at the same time, we already had some interesting conversations ongoing with Sapphire [formeraly SAP Ventures] and Salesforce. So we saw the opportunity to add more funding and also start getting into a tight relationship with both of these players.”

The original plan for Contentful was to focus almost explicitly on mobile. As it turns out, though, the company’s customers also wanted to use the service to handle its web-based applications and these days, Contentful happily supports both. “What we’re seeing is that everything is becoming an application,” he told me. “We started with native mobile application, but even the websites nowadays are often an application.”

In its early days, Contentful also focuses only on developers. Now, however, that’s changing and having these connections to large enterprise players like SAP and Salesforce surely isn’t going to hurt the company as it looks to bring on larger enterprise accounts.

Currently, the company’s focus is very much on Europe and North America, which account for about 80% of its customers. For now, Contentful plans to continue to focus on these regions, though it obviously supports customers anywhere in the world.

Contentful only exists as a hosted platform. As of now, the company doesn’t have any plans for offering a self-hosted version, though Konietzke noted that he does occasionally get requests for this.

What the company is planning to do in the near future, though, is to enable more integrations with existing enterprise tools. “Customers are asking for deeper integrations into their enterprise stack,” Konietzke said. “And that’s what we’re beginning to focus on and where we’re building a lot of capabilities around that.” In addition, support for GraphQL and an expanded rich text editing experience is coming up. The company also recently launched a new editing experience.

News Source = techcrunch.com

Putting the band back together, ExactTarget execs reunite to launch MetaCX

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Scott McCorkle has spent most of his professional career thinking about business to business software and how to improve it for a company’s customers.

The former President of ExactTarget and later chief executive of Salesforce Marketing Cloud has made billions of dollars building products to help support customer service and now he’s back at it again with his latest venture MetaCX.

Alongside Jake Miller, the former chief engineering lead at Salesforce Marketing Cloud and chief technology officer at ExactTarget, and David Duke, the chief customer officer and another ExactTarget alumnus, McCorkle has raised $14 million to build a white-labeled service that offers a toolkit for monitoring, managing and supporting customers as they use new software tools.

If customers are doing the things i want them to be doing through my product. What is it that they want to achieve and why did they buy my product.

“MetaCX sits above any digital product,” McCorkle says. And its software monitors and manages the full spectrum of the customer relationship with that product. “It is API embeddable and we have a full user experience layer.”

For the company’s customers, MetaCX provides a dashboard that includes outcomes, the collaboration, metrics tracked as part of the relationship and all the metrics around that are part of that engagement layer,” says McCorkle.

The first offerings will be launching in the beginning of 2019, but the company has dozens of customers already using its pilot, McCorkle said.

The Indianapolis -based company is one of the latest spinouts from High Alpha Studio, an accelerator and venture capital studio formed by Scott Dorsey, the former chief executive officer of ExactTarget. As one of a crop of venture investment firms and studios cropping up in the Midwest, High Alpha is something of a bellwether for the viability of the venture model in emerging ecosystems. And, from that respect, the success of the MetaCX round speaks volumes. Especially since the round was led by the Los Angeles-based venture firm Upfront Ventures.

“Our founding team includes world-class engineers, designers and architects who have been building billion-dollar SaaS products for two decades,” said McCorkle, in a statement. “We understand that enterprises often struggle to achieve the business outcomes they expect from SaaS, and the renewal process for SaaS suppliers is often an ambiguous guessing game. Our industry is shifting from a subscription economy to a performance economy, where suppliers and buyers of digital products need to transparently collaborate to achieve outcomes.”

As a result of the investment, Upfront partner Kobie Fuller will be taking a seat on the MetaCX board of directors alongside McCorkle and Dorsey.

“The MetaCX team is building a truly disruptive platform that will inject data-driven transparency, commitment and accountability against promised outcomes between SaaS buyers and vendors,” said Fuller, in a statement. “Having been on the journey with much of this team while shaping the martech industry with ExactTarget, I’m incredibly excited to partner again in building another category-defining business with Scott and his team in Indianapolis.”

 

News Source = techcrunch.com

Amazon Elastic Inference will reduce deep learning costs by ~75%

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Amazon Web Services today announced Amazon Elastic Inference, a new service that lets customers attach GPU-powered inference acceleration to any Amazon EC2 instance and reduces deep learning costs by up to 75 percent.

“What we see typically is that the average utilization of these P3 instances GPUs are about 10 to 30 percent, which is pretty wasteful with elastic inference. You don’t have to waste all that costs and all that GPU,” AWS chief executive Andy Jassy said onstage at the AWS re:Invent conference earlier today. “[Amazon Elastic Inference] is a pretty significant game changer in being able to run inference much more cost-effectively.”

Amazon Elastic Inference will also be available for Amazon SageMaker notebook instances and endpoints, “bringing acceleration to built-in algorithms and to deep learning environments,” the company wrote in a blog post. It will support machine learning frameworks TensorFlow, Apache MXNet and ONNX.

It’s available in three sizes:

  • eia1.medium: 8 TeraFLOPs of mixed-precision performance.
  • eia1.large: 16 TeraFLOPs of mixed-precision performance.
  • eia1.xlarge: 32 TeraFLOPs of mixed-precision performance.

Dive deeper into the new service here.

News Source = techcrunch.com

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