The OpenStack Foundation becomes the Open Infrastructure Foundation

This has been a long time coming, but the OpenStack foundation today announced that it is changing its name to ‘Open Infrastructure Foundation,” starting in 2021.

The announcement, which the foundation made at its virtual developer conference, doesn’t exactly come as a surprise. Over the course of the last few years, the organization started adding new projects that went well beyond the core OpenStack project and renamed its conference to the ‘Open Infrastructure Summit.’ The organization actually filed for the ‘Open Infrastructure Foundation’ trademark back in April.

Image Credits: OpenStack Foundation

After years of hype, the open-source OpenStack project hit a bit of a wall in 2016, as the market started to consolidate. The project itself, which helps enterprises run their private cloud, found its niche in the telecom space, though, and continues to thrive as one of the world’s most active open-source projects. Indeed, I regularly hear from OpenStack vendors that they are now seeing record sales numbers — despite the lack of hype. With the project being stable, though, the Foundation started casting a wider net and added additional projects like the popular Kata Containers runtime and CI/CD platform Zuul.

“We are officially transitioning and becoming the Open Infrastructure Foundation,” long-term OpenStack Foundation executive president Jonathan Bryce told me. “That is something that I think is an awesome step that’s built on the success that our community has spawned both within projects like OpenStack, but also as a movement […], which is [about] how do you give people choice and control as they build out digital infrastructure? And that is, I think, an awesome mission to have. And that’s what we are recognizing and acknowledging and setting up for another decade of doing that together with our great community.”

In many ways, it’s been more of a surprise that the organization waited as long as it did. As the foundation’s COO Mark Collier told me, the team waited because it wanted to sure that it did this right.

“We really just wanted to make sure that all the stuff we learned when we were building the OpenStack community and with the community — that started with a simple idea of ‘open source should be part of cloud, for infrastructure.’ That idea has just spawned so much more open source than we could have imagined. Of course, OpenStack itself has gotten bigger and more diverse than we could have imagined,” Collier said.

As part of today’s announcement, the group is also adding four new members at Platinum tier, its highest membership level: Ant Group, the Alibaba affiliate behind Alipay, embedded systems specialist Wind River, China’s Fiberhome (which was previously a Gold member) and Facebook Connectivity. To become a Platinum member, companies have to contribute $350,000 per year to the foundation and must have at least 2 full-time employees contributing to its projects.

“If you look at those companies that we have as Platinum members, it’s a pretty broad set of organizations,” Bryce noted. “AT&T, the largest carrier in the world. And then you also have a company Ant, who’s the largest payment processor in the world and a massive financial services company overall — over to Ericsson, that does telco, Wind River, that does defense and manufacturing. And I think that speaks to that everybody needs infrastructure. If we build a community — and we successfully structure these communities to write software with a goal of getting all of that software out into production, I think that creates so much value for so many people: for an ecosystem of vendors and for a great group of users and a lot of developers love working in open source because we work with smart people from all over the world.”

The OpenStack Foundation’s existing members are also on board and Bryce and Collier hinted at several new members who will join soon but didn’t quite get everything in place for today’s announcement.

We can probably expect the new foundation to start adding new projects next year, but it’s worth noting that the OpenStack project continues apace. The latest of the project’s bi-annual releases, dubbed ‘Victoria,’ launched last week, with additional Kubernetes integrations, improved support for various accelerators and more. Nothing will really change for the project now that the foundation is changing its name — though it may end up benefitting from a reenergized and more diverse community that will build out projects at its periphery.


By Frederic Lardinois

Temporal raises $18.75M for its microservices orchestration platform

Temporal, a Seattle-based startup that is building an open-source, stateful microservices orchestration platform, today announced that it has raised an $18.75 million Series A round led by Sequoia Ventures. Existing investors Addition Ventures and Amplify Partners also joined, together with new investor Madrona Venture Group. With this, the company has now raised a total of $25.5 million.

Founded by Maxim Fateev (CEO) and Samar Abbas (CTO), who created the open-source Cadence orchestration engine during their time at Uber, Temporal aims to make it easier for developers and operators to run microservices in production. Current users include the likes of Box and Snap.

“Before microservices, coding applications was much simpler,” Temporal’s Fateev told me. “Resources were always located in the same place — the monolith server with a single DB — which meant developers didn’t have to codify a bunch of guessing about where things were. Microservices, on the other hand, are highly distributed, which means developers need to coordinate changes across a number of servers in different physical locations.”

Those servers could go down at any time, so engineers often spend a lot of time building custom reliability code to make calls to these services. As Fateev argues, that’s table stakes and doesn’t help these developers create something that builds real business value. Temporal gives these developers access to a set of what the team calls ‘reliability primitives’ that handle these use cases. “This means developers spend far more time writing differentiated code for their business and end up with a more reliable application than they could have built themselves,” said Fateev.

Temporal’s target use is virtually any developer who works with microservices — and wants them to be reliable. Because of this, the company’s tool — despite offering a read-only web-based user interface for administering and monitoring the system — isn’t the main focus here. The company also doesn’t have any plans to create a no-code/low-code workflow builder, Fateev tells me. However, since it is open-source, quite a few Temporal users build their own solutions on top of it.

The company itself plans to offer a cloud-based Temporal-as-a-Service offering soon. Interestingly, Fateev tells me that the team isn’t looking at offering enterprise support or licensing in the near future, though. “After spending a lot of time thinking it over, we decided a hosted offering was best for the open-source community and long term growth of the business,” he said.

Unsurprisingly, the company plans to use the new funding to improve its existing tool and build out this cloud service, with plans to launch it into general availability next year. At the same time, the team plans to say true to its open-source roots and host events and provide more resources to its community.

“Temporal enables Snapchat to focus on building the business logic of a robust asynchronous API system without requiring a complex state management infrastructure,” said Steven Sun, Snap Tech Lead, Staff Software Engineer. “This has improved the efficiency of launching our services for the Snapchat community.”


By Frederic Lardinois

Kong launches Kong Konnect, its cloud-native connectivity platform

At its (virtual) Kong Summit 2020, API platform Kong today announced the launch of Kong Konnect, its managed end-to-end cloud-native connectivity platform. The idea here is to give businesses a single service that allows them to manage the connectivity between their APIs and microservices and help developers and operators manage their workflows across Kong’s API Gateway, Kubernetes Ingress and King Service Mesh runtimes.

“It’s a universal control plane delivery cloud that’s consumption-based, where you can manage and orchestrate API gateway runtime, service mesh runtime, and Kubernetes Ingress controller runtime — and even Insomnia for design — all from one platform,” Kong CEO and co-founder Augusto ‘Aghi’ Marietti told me.

The new service is now in private beta and will become generally available in early 2021.

Image Credits: Kong

At the core of the platform is Kong’s new so-called ServiceHub, which provides that single pane of glass for managing a company’s services across the organization (and make them accessible across teams, too).

As Marietti noted, organizations can choose which runtime they want to use and purchase only those capabilities of the service that they currently need. The platform also includes built-in monitoring tools and supports any cloud, Kubernetes provider or on-premises environment, as long as they are Kubernetes-based.

The idea here, too, is to make all these tools accessible to developers and not just architects and operators. “I think that’s a key advantage, too,” Marietti said. “We are lowering the barrier by making a connectivity technology easier to be used by the 50 million developers — not just by the architects that were doing big grand plans at a large company.”

To do this, Konnect will be available as a self-service platform, reducing the friction of adopting the service.

Image Credits: Kong

This is also part of the company’s grander plan to go beyond its core API management services. Those services aren’t going away, but they are now part of the larger Kong platform. With its open-source Kong API Gateway, the company built the pathway to get to this point, but that’s a stable product now and it’s now clearly expanding beyond that with this cloud connectivity play that takes the company’s existing runtimes and combines them to provide a more comprehensive service.

“We have upgraded the vision of really becoming an end-to-end cloud connectivity company,” Marietti said. “Whether that’s API management or Kubernetes Ingress, […] or Kuma Service Mesh. It’s about connectivity problems. And so the company uplifted that solution to the enterprise.”

 


By Frederic Lardinois

Microsoft challenges Twilio with the launch of Azure Communication Services

Microsoft today announced the launch of Azure Communication Services, a new set of features in its cloud that enable developers to add voice and video calling, chat and text messages to their apps, as well as old-school telephony.

The company describes the new set of services as the “first fully managed communication platform offering from a major cloud provider,” and that seems right, given that Google and AWS offer some of these features, including the AWS notification service, for example, but not as part of a cohesive communication service. Indeed, it seems Azure Communication Service is more of a competitor to the core features of Twilio or up-and-coming MessageBird.

Over the course of the last few years, Microsoft has built up a lot of experience in this area, in large parts thanks to the success of its Teams service. Unsurprisingly, that’s something Microsoft is also playing up in its announcement.

“Azure Communication Services is built natively on top a global, reliable cloud — Azure. Businesses can confidently build and deploy on the same low latency global communication network used by Microsoft Teams to support 5B+ meeting minutes daily,” writes Scott Van Vliet, corporate vice president for Intelligent Communication at the company.

Microsoft also stresses that it offers a set of additional smart services that developers can tap into to build out their communication services, including its translation tools, for example. The company also notes that its services are encrypted to meet HIPPA and GDPR standards.

Like similar services, developers access the various capabilities through a set of new APIs and SDKs.

As for the core services, the capabilities here are pretty much what you’d expect. There’s voice and video calling (and the ability to shift between them). There’s support for chat and, starting in October, users will also be able to send text messages. Microsoft says developers will be able to send these to users anywhere, with Microsoft positioning it as a global service.

Provisioning phone numbers, too, is part of the services and developers will be able to provision those for in-bound and out-bound calls, port existing numbers, request new ones and — most importantly for contact-center users — integrate them with existing on-premises equipment and carrier networks.

“Our goal is to meet businesses where they are and provide solutions to help them be resilient and move their business forward in today’s market,” writes Van Vliet. “We see rich communication experiences – enabled by voice, video, chat, and SMS – continuing to be an integral part in how businesses connect with their customers across devices and platforms.”


By Frederic Lardinois

Microsoft brings data services to its Arc multi-cloud management service

Microsoft today launched a major update to its Arc multi-cloud service that allows Azure customers to run and manage workloads across clouds — including those of Microsoft’s competitors — and their on on-premises data centers. First announced at Microsoft Ignite in 2019, Arc was always meant to not just help users manage their servers but to also allow them to run data services like Azure SQL and Azure Database for PostgreSQL close to where their data sits.

Today, the company is making good on this promise with the preview launch of Azure Arc enabled data services with support for, as expected, Azure SQL and Azure Database for PostgreSQL.

In addition, Microsoft is making the core feature of Arc, Arc enabled servers, generally available. These are the tools at the core of the service that allow enterprises can use the standard Azure Portal to manage and monitor their Windows and Linux servers across their multi-cloud and edge environments.

Image Credits: Microsoft

“We’ve always known that enterprises are looking to unlock the agility of the cloud — they love the app model, they love the business model — while balancing a need to maintain certain applications and workloads on premises,” Rohan Kumar, Microsoft’s corporate VP for Azure Data said. “A lot of customers actually have a multi-cloud strategy. In some cases, they need to keep the data specifically for regulatory compliance. And in many cases, they want to maximize their existing investments. They’ve spent a lot of CapEx.”

As Kumar stressed, Microsoft wants to meet customers where they are, without forcing them to adopt a container architecture, for example, or replace their specialized engineered appliances to use Arc.

“Hybrid is really [about] providing that flexible choice to our customers, meeting them where they are, and not prescribing a solution,” he said.

He admitted that this approach makes engineering the solution more difficult, but the team decided that the baseline should be a container endpoint and nothing more. And for the most part, Microsoft packaged up the tools its own engineers were already using to run Azure services on the company’s own infrastructure to manage these services in a multi-cloud environment.

“In hindsight, it was a little challenging at the beginning, because, you can imagine, when we initially built them, we didn’t imagine that we’ll be packaging them like this. But it’s a very modern design point,” Kumar said. But the result is that supporting customers is now relatively easy because it’s so similar to what the team does in Azure, too.

Kumar noted that one of the selling points for the Azure Data Services is also that the version of Azure SQL is essentially evergreen, allowing them to stop worrying about SQL Server licensing and end-of-life support questions.


By Frederic Lardinois

Pure Storage acquires data service platform Portworx for $370M

Pure Storage, the public enterprise data storage company, today announced that it has acquired Portworx, a well-funded startup that provides a cloud-native storage and data-management platform based on Kubernetes, for $370 million in cash. This marks Pure Storage’s largest acquisition to date and shows how important this market for multi-cloud data services has become.

Current Portworx enterprise customers include the likes of Carrefour, Comcast, GE Digital, Kroger, Lufthansa, and T-Mobile. At the core of the service is its ability to help users migrate their data and create backups. It creates a storage layer that allows developers to then access that data, no matter where it resides.

Pure Storage will use Portworx’s technology to expand its hybrid and multi-cloud services and provide Kubernetes -based data services across clouds.

Image Credits: Portworx

“I’m tremendously proud of what we’ve built at Portworx: an unparalleled data services platform for customers running mission-critical applications in hybrid and multi-cloud environments,” said Portworx CEO Murli Thirumale. “The traction and growth we see in our business daily shows that containers and Kubernetes are fundamental to the next-generation application architecture and thus competitiveness. We are excited for the accelerated growth and customer impact we will be able to achieve as a part of Pure.”

When the company raised its Series C round last year, Thirumale told me that Portworx had expanded its customer base by over 100 percent and its bookings increased by 376 from 2018 to 2019.

“As forward-thinking enterprises adopt cloud native strategies to advance their business, we are thrilled to have the Portworx team and their groundbreaking technology joining us at Pure to expand our success in delivering multi-cloud data services for Kubernetes,” said Charles Giancarlo, Chairman and CEO of Pure Storage. “This acquisition marks a significant milestone in expanding our Modern Data Experience to cover traditional and cloud native applications alike.”


By Frederic Lardinois

Latent AI makes edge AI workloads more efficient

Latent AI, a startup that was spun out of SRI International, makes it easier to run AI workloads at the edge by dynamically managing workloads as necessary.

Using its proprietary compression and compilation process, Latent AI promises to compress library files by 10x and run them with 5x lower latency than other systems, all while using less power thanks to its new adaptive AI technology, which the company is launching as part of its appearance in the TechCrunch Disrupt Battlefield competition today.

Founded by CEO Jags Kandasamy and CTO Sek Chai, the company has already raised a $6.5 million seed round led by Steve Jurvetson of Future Ventures and followed by Autotech Ventures .

Before starting Latent AI, Kandasamy sold his previous startup OtoSense to Analog Devices (in addition to managing HPE Mid-Market Security business before that). OtoSense used data from sound and vibration sensors for predictive maintenance use cases. Before its sale, the company worked with the likes of Delta Airlines and Airbus.

Image Credits: Latent AI

In some ways, Latent AI picks up some of this work and marries it with IP from SRI International .

“With OtoSense, I had already done some edge work,” Kandasamy said. “We had moved the audio recognition part out of the cloud. We did the learning in the cloud, but the recognition was done in the edge device and we had to convert quickly and get it down. Our bill in the first few months made us move that way. You couldn’t be streaming data over LTE or 3G for too long.”

At SRI, Chai worked on a project that looked at how to best manage power for flying objects where, if you have a single source of power, the system could intelligently allocate resources for either powering the flight or running the onboard compute workloads, mostly for surveillance, and then switch between them as needed. Most of the time, in a surveillance use case, nothing happens. And while that’s the case, you don’t need to compute every frame you see.

“We took that and we made it into a tool and a platform so that you can apply it to all sorts of use cases, from voice to vision to segmentation to time series stuff,” Kandasamy explained.

What’s important to note here is that the company offers the various components of what it calls the Latent AI Efficient Inference Platform (LEIP) as standalone modules or as a fully integrated system. The compressor and compiler are the first two of these and what the company is launching today is LEIP Adapt, the part of the system that manages the dynamic AI workloads Kandasamy described above.

Image Credits: Latent AI

In practical terms, the use case for LEIP Adapt is that your battery-powered smart doorbell, for example, can run in a low-powered mode for a long time, waiting for something to happen. Then, when somebody arrives at your door, the camera wakes up to run a larger model — maybe even on the doorbell’s base station that is plugged into power — to do image recognition. And if a whole group of people arrives at ones (which isn’t likely right now, but maybe next year, after the pandemic is under control), the system can offload the workload to the cloud as needed.

Kandasamy tells me that the interest in the technology has been “tremendous.” Given his previous experience and the network of SRI International, it’s maybe no surprise that Latent AI is getting a lot of interest from the automotive industry, but Kandasamy also noted that the company is working with consumer companies, including a camera and a hearing aid maker.

The company is also working with a major telco company that is looking at Latent AI as part of its AI orchestration platform and a large CDN provider to help them run AI workloads on a JavaScript backend.


By Frederic Lardinois

Google Cloud launches its Business Application Platform based on Apigee and AppSheet

Unlike some of its competitors, Google Cloud has recently started emphasizing how its large lineup of different services can be combined to solve common business problems. Instead of trying to sell individual services, Google is focusing on solutions and the latest effort here is what it calls its Business Application Platform, which combines the API management capabilities of Apigee with the no-code application development platform of AppSheet, which Google acquired earlier this year.

As part of this process, Google is also launching a number of new features for both services today. The company is launching the beta of a new API Gateway, built on top of the open-source Envoy project, for example. This is a fully-managed service that is meant o makes it easier for developers to secure and manage their API across Google’s cloud computing services and serverless offerings like Cloud Functions and Cloud Run. The new gateway, which has been in alpha for a while now, offers all the standard features you’d expect, including authentication, key validation and rate limiting.

As for its low-code service AppSheet, the Google Cloud team is now making it easier to bring in data from third-party applications thanks to the general availability to Apigee as a data source for the service. AppSheet already supported standard sources like MySQL, Salesforce and G Suite, but this new feature adds a lot of flexibility to the service.

With more data comes more complexity, so AppSheet is also launching new tools for automating processes inside the service today, thanks to the early access launch of AppSheet Automation. Like the rest of AppSheet, the promise here is that developers won’t have to write any code. Instead, AppSheet Automation provides a visual interface, that according to Google, “provides contextual suggestions based on natural language inputs.” 

“We are confident the new category of business application platforms will help empower both technical and line of business developers with the core ability to create and extend applications, build and automate workflows, and connect and modernize applications,” Google notes in today’s announcement. And indeed, this looks like a smart way to combine the no-code environment of AppSheet with the power of Apigee .


By Frederic Lardinois

SUSE contributes EiriniX to the Cloud Foundry Foundation

SUSE today announced that it has contributed EiriniX, a framework for building extensions for Eirini, a technology that brings support for Kubernetes-based container orchestration to the Cloud Foundry platform-as-a-service project.

About a year ago, SUSE also contributed the KubeCF project to the foundation, which itself allows the Cloud Foundry Application Runtime — the core of Cloud Foundry — to run on top of Kubernetes.

Image Credits: SUSE

“At SUSE we are developing upstream first as much as possible,” said Thomas Di Giacomo, president of Engineering and Innovation at SUSE. “So, after experiencing the value of contributing KubeCF to the Foundation earlier this year, we decided it would be beneficial to both the Cloud Foundry community and the EiriniX team to do it again. We have seen an uptick in contributions to and usage of KubeCF since it became a Foundation project, indicating that more organizations are investing developer time into the upstream. Contributing EiriniX to the Foundation is a surefire way to get the broader community involved.”

SUSE first demonstrated EiriniX a year ago. The tool implements features like the ability to SSH into a container and debug it, for example, or to use alternative logging solutions for KubeCF.

“There is significant value in contributing this project to the Foundation, as it ensures that other project teams looking for a similar solution to creating Extensions around Eirini will not reinvent the wheel,” said Chip Childers, executive director, Cloud Foundry Foundation. “Now that EiriniX exists within the Foundation, developers can take full advantage of its library of add-ons to Eirini and modify core features of Cloud Foundry. I’m excited to see all of the use cases for this project that have not yet been invented.” 


By Frederic Lardinois

Google Cloud launches Confidential VMs

At its virtual Cloud Next ’20 event, Google Cloud today announced Confidential VMs, a new type of virtual machine that makes use of the company’s work around confidential computing to ensure that data isn’t just encrypted at rest but also while it is in memory.

We already employ a variety of isolation and sandboxing techniques as part of our cloud infrastructure to help make our multi-tenant architecture secure,” the company notes in today’s announcement. “Confidential VMs take this to the next level by offering memory encryption so that you can further isolate your workloads in the cloud. Confidential VMs can help all our customers protect sensitive data, but we think it will be especially interesting to those in regulated industries.”

In the backend, Confidential VMs make use of AMD’s Secure Encrypted Virtualization feature, available in its second-generation EPYC CPUs. With that, the data will stay encrypted when used and the encryption keys to make this happen are automatically generated in hardware and can’t be exported — and with that, even Google doesn’t have access to the keys either.

Image Credits: Google

Developers who want to shift their existing VMs to a Confidential VM can do so with just a few clicks. Google notes that it built Confidential VMs on top of its Shielded VMs, which already provide protection against rootkits and other exploits.

“With built-in secure encrypted virtualization, 2nd Gen AMD EPYC processors provide an innovative hardware-based security feature that helps secure data in a virtualized environment,” said Raghu Nambiar, corporate vice president, Data Center Ecosystem, AMD. “For the new Google Compute Engine Confidential VMs in the N2D series, we worked with Google to help customers both secure their data and achieve performance of their workloads.”

That last part is obviously important, given that the extra encryption and decryption steps do incur at least a minor performance penalty. Google says it worked with AMD and developed new open-source drivers to ensure that “the performance metrics of Confidential VMs are close to those of non-confidential VMs.” At least according to the benchmarks Google itself has disclosed so far, both startup times and memory read and throughput performance are virtually the same for regular VMs and Confidential VMs.


By Frederic Lardinois

Google Cloud’s new BigQuery Omni will let developers query data in GCP, AWS and Azure

At its virtual Cloud Next ’20 event, Google today announced a number of updates to its cloud portfolio, but the public alpha launch of BigQuery Omni is probably the highlight of this year’s event. Powered by Google Cloud’s Anthos hybrid-cloud platform, BigQuery Omni allows developers to use the BigQuery engine to analyze data that sits in multiple clouds, including those of Google Cloud competitors like AWS and Microsoft Azure — though for now, the service only supports AWS, with Azure support coming later.

Using a unified interface, developers can analyze this data locally without having to move data sets between platforms.

“Our customers store petabytes of information in BigQuery, with the knowledge that it is safe and that it’s protected,” said Debanjan Saha, the GM and VP of Engineering for Data Analytics at Google Cloud, in a press conference ahead of today’s announcement. “A lot of our customers do many different types of analytics in BigQuery. For example, they use the built-in machine learning capabilities to run real-time analytics and predictive analytics. […] A lot of our customers who are very excited about using BigQuery in GCP are also asking, ‘how can they extend the use of BigQuery to other clouds?’ ”

Image Credits: Google

Google has long said that it believes that multi-cloud is the future — something that most of its competitors would probably agree with, though they all would obviously like you to use their tools, even if the data sits in other clouds or is generated off-platform. It’s the tools and services that help businesses to make use of all of this data, after all, where the different vendors can differentiate themselves from each other. Maybe it’s no surprise then, given Google Cloud’s expertise in data analytics, that BigQuery is now joining the multi-cloud fray.

“With BigQuery Omni customers get what they wanted,” Saha said. “They wanted to analyze their data no matter where the data sits and they get it today with BigQuery Omni.”

Image Credits: Google

He noted that Google Cloud believes that this will help enterprises break down their data silos and gain new insights into their data, all while allowing developers and analysts to use a standard SQL interface.

Today’s announcement is also a good example of how Google’s bet on Anthos is paying off by making it easier for the company to not just allow its customers to manage their multi-cloud deployments but also to extend the reach of its own products across clouds. This also explains why BigQuery Omni isn’t available for Azure yet, given that Anthos for Azure is still in preview, while AWS support became generally available in April.


By Frederic Lardinois

Docker partners with AWS to improve container workflows

Docker and AWS today announced a new collaboration that introduces a deep integration between Docker’s Compose and Desktop developer tools and AWS’s Elastic Container Service (ECS) and ECS on AWS Fargate. Previously, the two companies note, the workflow to take Compose files and run them on ECS was often challenging for developers. Now, the two companies simplified this process to make switching between running containers locally and on ECS far easier .

docker/AWS architecture overview“With a large number of containers being built using Docker, we’re very excited to work with Docker to simplify the developer’s experience of building and deploying containerized applications to AWS,” said Deepak Singh, the VP for Compute Services at AWS. “Now customers can easily deploy their containerized applications from their local Docker environment straight to Amazon ECS. This accelerated path to modern application development and deployment allows customers to focus more effort on the unique value of their applications, and less time on figuring out how to deploy to the cloud.”

In a bit of a surprise move, Docker last year sold off its enterprise business to Mirantis to solely focus on cloud-native developer experiences.

“In November, we separated the enterprise business, which was very much focused on operations, CXOs and a direct sales model, and we sold that business to Mirantis,” Docker CEO Scott Johnston told TechCrunch’s Ron Miller earlier this year. “At that point, we decided to focus the remaining business back on developers, which was really Docker’s purpose back in 2013 and 2014.”

Today’s move is an example of this new focus, given that the workflow issues this partnership addresses had been around for quite a while already.

It’s worth noting that Docker also recently engaged in a strategic partnership with Microsoft to integrate the Docker developer experience with Azure’s Container Instances.


By Frederic Lardinois

SUSE acquires Kubernetes management platform Rancher Labs

SUSE, which describes itself as ‘the world’s largest independent open source company,’ today announced that it has acquired Rancher Labs, a company that has long focused on making it easier for enterprises to make their container clusters.

The two companies did not disclose the price of the acquisition, but Rancher was well funded, with a total of $95 million in investments. It’s also worth mentioning that it’s only been a few months since the company announced its $40 million Series D round led by Telstra Ventures. Other investors include the likes of Mayfield and Nexus Venture Partners, GRC SinoGreen and F&G Ventures.

Like similar companies, Rancher’s original focus was first on Docker infrastructure before it pivoted to putting its emphasis on Kubernetes once that became the de facto standard for container orchestration. Unsurprisingly, this is also why SUSE is now acquiring this company. After a number of ups and downs — and various ownership changes — SUSE has now found its footing again and today’s acquisition shows that its aiming to capitalize on its current strengths.

Just last month, the company reported that the annual contract value of its booking increased by 30% year over year and that it saw a 63% increase in customer deals worth more than $1 million in the last quarter, with its cloud revenue growing 70%. While it is still in the Linux distribution business that the company was founded on, today’s SUSE is a very different company, offering various enterprise platforms (including its Cloud Foundry-based Cloud Application Platform), solutions and services. And while it already offered a Kubernetes-based container platform, Rancher’s expertise will only help it to build out this business.

“This is an incredible moment for our industry, as two open source leaders are joining forces. The merger of a leader in Enterprise Linux, Edge Computing and AI with a leader in Enterprise Kubernetes Management will disrupt the market to help customers accelerate their digital transformation journeys,” said SUSE CEO Melissa Di Donato in today’s announcement. “Only the combination of SUSE and Rancher will have the depth of a globally supported and 100% true open source portfolio, including cloud native technologies, to help our customers seamlessly innovate across their business from the edge to the core to the cloud.”

The company describes today’s acquisition as the first step in its ‘inorganic growth strategy’ and Di Donato notes that this acquisition will allow the company to “play an even more strategic role with cloud service providers, independent hardware vendors, systems integrators and value-added resellers who are eager to provide greater customer experiences.”


By Frederic Lardinois

Vendia raises $5.1M for its multi-cloud serverless platform

When the inventor of AWS Lambda, Tim Wagner, and the former head of blockchain at AWS, Shruthi Rao, co-found a startup, it’s probably worth paying attention. Vendia, as the new venture is called, combines the best of serverless and blockchain to help build a truly multi-cloud serverless platform for better data and code sharing.

Today, the Vendia team announced that it has raised a $5.1 million seed funding round, led by Neotribe’s Swaroop ‘Kittu’ Kolluri. Correlation Ventures, WestWave Capital, HWVP, Firebolt Ventures, Floodgate and Future\Perfect Ventures also participated in this oversubscribed round.

(Image Credits: Vendia)

Seeing Wagner at the helm of a blockchain-centric startup isn’t exactly a surprise. After building Lambda at AWS, he spent some time as VP of engineering at Coinbase, where he left about a year ago to build Vendia.

“One day, Coinbase approached me and said, ‘hey, maybe we could do for the financial system what you’ve been doing over there for the cloud system,’ ” he told me. “And so I got interested in that. We had some conversations. I ended up going to Coinbase and spent a little over a year there as the VP of Engineering, helping them to set the stage for some of that platform work and tripling the size of the team.” He noted that Coinbase may be one of the few companies where distributed ledgers are actually mission-critical to their business, yet even Coinbase had a hard time scaling its Ethereum fleet, for example, and there was no cloud-based service available to help it do so.

Tim Wagner, Vendia co-founder and CEO (Image Credits: Vendia)

“The thing that came to me as I was working there was why don’t we bring these two things together? Nobody’s thinking about how would you build a distributed ledger or blockchain as if it were a cloud service, with all the things that we’ve learned over the course of the last 10 years building out the public cloud and learning how to do it at scale,” he said.

Wagner then joined forces with Rao, who spent a lot of time in her role at AWS talking to blockchain customers. One thing she noticed was that while it makes a lot of sense to use blockchain to establish trust in a public setting, that’s really not an issue for enterprise.

“After the 500th customers, it started to make sense,” she said. “These customers had made quite a bit of investment in IoT and edge devices. And they were gathering massive amounts of data. And they also made investments on the other side, with AI and ML and analytics. And they said, ‘well, there’s a lot of data and I want to push all of this data through these intelligent systems. And I need a mechanism to get this data.’ ” But the majority of that data often comes from third-party services. At the same time, most blockchain proof of concepts weren’t moving into any real production usage because the process was often far too complex, especially enterprises that maybe wanted to connect their systems to those of their partners.

Shruthi Rao, Vendia co-founder and CBO (Image Credits: Vendia)

“We are asking these partners to spin up Kubernetes clusters and install blockchain nodes. Why is that? That’s because for blockchain to bring trust into a system to ensure trust, you have to own your own data. And to own your own data, you need your own node. So we’re solving fundamentally the wrong problem,” she explained.

The first product Vendia is bringing to market is Vendia Share, a way for businesses to share data with partners (and across clouds) in real time, all without giving up control over that data. As Wagner noted, businesses often want to share large data sets but they also want to ensure they can control who has access to that data. For those users, Vendia is essentially a virtual data lake with provenance tracking and tamper-proofing built-in.

The company, which mostly raised this round after the coronavirus pandemic took hold in the U.S., is already working with a couple of design partners in multiple industries to test out its ideas, and plans to use the new funding to expand its engineering team to build out its tools.

“At Neotribe Ventures, we invest in breakthrough technologies that stretch the imagination and partner with companies that have category creation potential built upon a deep-tech platform,” said Neotribe founder and managing director Kolluri. “When we heard the Vendia story, it was a no-brainer for us. The size of the market for multi-party, multi-cloud data and code aggregation is enormous and only grows larger as companies capture every last bit of data. Vendia’s Serverless -based technology offers benefits such as ease of experimentation, no operational heavy lifting and a pay-as-you-go pricing model, making it both very consumable and highly disruptive. Given both Tim and Shruthi’s backgrounds, we know we’ve found an ideal ‘Founder fit’ to solve this problem! We are very excited to be the lead investors and be a part of their journey.”


By Frederic Lardinois

‘One day we were in the office and the next we were working from home’

Ryan Easter couldn’t believe he was being asked to run a pandemic business continuity test.

It was late October, 2019 and Easter, IT Director and a principal at Johnson Investment Counsel, was being asked by regulators to ensure that their employees could work from home with the same capabilities they had in the office. In addition, the company needed to evaluate situations where up to 50% of personnel were impacted by a virus and unable to work, forcing others to pick up their internal functions and workload.

“I honestly thought that it was going to be a waste of time,” said Easter. “I never imagined that we would have had to put our pandemic plan into action. But because we had a tested strategy already in place, we didn’t miss a beat when COVID-19 struck.”

In the months leading up to the initial test, Johnson Investment Counsel developed a work anywhere blueprint with their technology partner Evolve IP. The plan covered a wide variety of integrated technologies including voice services, collaboration, virtual desktops, disaster recovery and remote office connectivity.

“Having a strategy where our work anywhere services were integrated together was one of the keys to our success,” said Easter. “We manage about $13 billion in assets for clients across the United States and provide comprehensive wealth and investment management to individual and institutional investors. We have our own line of mutual funds, a state-chartered trust company, a proprietary charitable gift fund, with research analysts and traders covering both equity and fixed income markets. Duct taping one-off solutions wasn’t going to cut it.”

Easter continued, “It was imperative that our advisors could communicate with clients, collaborate with each other and operate the business seamlessly. That included ensuring we could make real-time trades and provide all of our other client services.”

Five months later, the novel coronavirus hit the United States and Johnson Investment Counsel’s blueprint test got real.


By Walter Thompson