Sep
16
2020
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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 multicloud 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 multicloud 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 multicloud 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% 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 multicloud 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.”

Sep
15
2020
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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.

Sep
08
2020
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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 to make 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 .

Aug
17
2020
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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.” 

Aug
12
2020
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Adaptive Shield raises $4M for its SaaS security platform

Adaptive Shield, a Tel Aviv-based security startup, is coming out of stealth today and announcing its $4 million seed round led by Vertex Ventures Israel. The company’s platform helps businesses protect their SaaS applications by regularly scanning their various setting for security issues.

The company’s co-founders met in the Israeli Defense Forces, where they were trained on cybersecurity, and then worked at a number of other security companies before starting their own venture. Adaptive Shield CEO Maor Bin, who previously led cloud research at Proofpoint, told me the team decided to look at SaaS security because they believe this is an urgent problem few other companies are addressing.

Pictured is a representative sample of nine apps being monitored by the Adaptive Shield platform, including the total score of each application, affected categories and affected security frameworks and standards. (Image Credits: Adaptive Shield)

“When you look at the problems that are out there — you want to solve something that is critical, that is urgent,” he said. “And what’s more critical than business applications? All the information is out there and every day, we see people moving their on-prem infrastructure into the cloud.”

Bin argues that as companies adopt a large variety of SaaS applications, all with their own security settings and user privileges, security teams are often either overwhelmed or simply not focused on these SaaS tools because they aren’t the system owners and may not even have access to them.

“Every enterprise today is heavily using SaaS services without addressing the associated and ever-changing security risks,” says Emanuel Timor, general partner at Vertex Ventures Israel . “We are impressed by the vision Adaptive Shield has to elegantly solve this complex problem and by the level of interest and fast adoption of its solution by customers.”

Onboarding is pretty easy, as Bin showed me, and typically involves setting up a user in the SaaS app and then logging into a given service through Adaptive Shield. Currently, the company supports most of the standard SaaS enterprise applications you would expect, including GitHub, Office 365, Salesforce, Slack, SuccessFactors and Zoom.

“I think that one of the most important differentiators for us is the amount of applications that we support,” Bin noted.

The company already has paying customers, including some Fortune 500 companies across a number of verticals, and it has already invested some of the new funding round, which closed before the global COVID-19 pandemic hit, into building out more integrations for these customers. Bin tells me that Adaptive Shield immediately started hiring once the round closed and is now also in the process of hiring its first employee in the U.S. to help with sales.

Jul
14
2020
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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.

Jul
14
2020
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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 private 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.

Jul
09
2020
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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.

Jul
09
2020
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Freshworks acquires IT orchestration service Flint

Customer engagement company Freshworks today announced that it has acquired Flint, an IT orchestration and cloud management platform based in India. The acquisition will help Freshworks strengthen its Freshservice IT support service by bringing a number of new automation tools to it. Maybe just as importantly, though, it will also bolster Freshworks’ ambitions around cloud management.

Freshworks CPO Prakash Ramamurthy, who joined the company last October, told me that while the company was already looking at expanding its IT services (ITSM) and operations management (ITOM) capabilities before the COVID-19 pandemic hit, having those capabilities has now become even more important, given that a lot of these teams are now working remotely.

“If you take ITSM, we allow for customers to create their own workflow for service catalog items and so on and so forth, but we found that there’s a lot of things which were repetitive tasks,” Ramamurthy said. “For example, I lost my password or new employee onboarding, where you need to auto-provision them in the same set of accounts. Flint had integrated with Freshservice to help automate and orchestrate some of these routine tasks and a lot of customers were using it and there’s a lot of interest in it.”

He noted that while the company was already seeing increased demand for these tools earlier in the year, the pandemic made that need even more obvious. And given that pressing need, Freshworks decided that it would be far easier to acquire an existing company than to build its own solution.

“Even in early January, we felt this was a space where we had to have a time-to-market advantage,” he said. “So acquiring and aggressively integrating it into our product lines seemed to be the most optimal thing to do than take our time to build it — and we are super fortunate that we placed the right bet because of what has happened since then.”

The acquisition helps Freshworks build out some of its existing services, but Ramamurthy also stressed that it will really help the company build out its operations management capabilities to go from alert management to also automatically solving common IT issues. “We feel there’s natural synergy and [Flint’s] orchestration solution and their connectors come in super handy because they have connectors to all the modern SaaS applications and the top five cloud providers and so on.”

But Flint’s technology will also help Freshworks build out its ability to help its users manage workloads across multiple clouds, an area where it is going to compete with a number of startups and incumbents. Since the company decided that it wants to play in this field, an acquisition also made a lot of sense given how long it would take to build out expertise in this area, too.

“Cloud management is a natural progression for our product line,” Ramamurthy noted. “As more and more customers have a multi-cloud strategy, we want to give them a single pane of glass for all the work workloads they’re running. And if they wanted to do cost optimization, if you want to build on top of that, we need the basic plumbing to be able to do discovery, which is kind of foundational for that.”

Freshworks will integrate Flint’s tools into Freshservice and likely offer it as part of its existing tiered pricing structure, with service orchestration likely being the first new capability it will offer.

Jul
08
2020
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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 has 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 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.”

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