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Mirantis co-founder launches FreedomFi to bring private LTE networks to enterprises
Boris Renski, the co-founder of Mirantis, one of the earliest and best-funded players in the OpenStack space a few years ago (which then mostly pivoted to Kubernetes and DevOps), has left his role as CMO to focus his efforts on a new startup: FreedomFi. The new company brings together open-source hardware and software to give enterprises a new way to leverage the newly opened 3.5 GHz band for private LTE and — later — 5G IoT deployments.
“There is a very broad opportunity for any enterprise building IoT solutions, which completely changes the dynamic of the whole market,” Renski told me when I asked him why he was leaving Mirantis. “This makes the whole space very interesting and fast-evolving. I felt that my background in open source and my existing understanding of the open-source landscape and the LTE space […] is an extremely compelling opportunity to dive into headfirst.”
Renski told me that a lot of the work the company is doing is still in its early stages, but the company recently hit a milestone when it used its prototype stack to send messages across its private network over a distance of around 2.7 miles.
Mirantis itself worked on bringing Magma, a Facebook-developed open-source tool for powering some of the features needed for building access networks, into production. FreedomFi is also working with the OpenAirInterface consortium, which aims to create an ecosystem for open-source software and hardware development around wireless innovation. Most, if not all, of the technology the company will develop over time will also be open source, as well.
Renski, of course, gets to leverage his existing connections in the enterprise and telco industry with this new venture, but he also told me that he plans to leverage the Mirantis playbook as he builds out the company.
“At Mirantis, our journey was that we started with basically offering end-to-end open-source cloud buildouts to a variety of enterprises back when OpenStack was essentially the only open-source cloud project out there,” he explained. “And we spent a whole bunch of time doing that, engaging with customers, getting customer revenue, learning where the bottlenecks are — and then kind of gradually evolving into more of a leveraged business model with a subscription offering around OpenStack and then MCP and now Kubernetes, Docker, etc. But the key was to be very kind of customer-centric, go get some customer wins first, give customers a services-centric offering that gets them to the result, and then figure out where the leveraged business model opportunities are.”
Currently, enterprises that want to attempt to build their own private LTE networks — and are willing to spend millions on it — have to go to the large telecom providers. Those companies, though, aren’t necessarily interested in working on these relatively small deployments (or at least “small” by the standards of a telco).
Renski and his team started the project about two months ago and for now, it remains self-funded. But the company already has five pilots lined up, including one with a company that produces large-scale events and another with a large real estate owner, and with some of the tech falling in place, Renski seems optimistic that this is a project worth focusing on. There are still some hurdles to overcome and Renski tells me the team is learning new things every day. The hardware, for example, remains hard to source and the software stack remains in flux. “We’re probably at least six months away from having solved all of the technology and business-related problems pertaining to delivering this kind of end-to-end private LTE network,” he said.
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Databricks makes bringing data into its ‘lakehouse’ easier
Databricks today announced the launch of its new Data Ingestion Network of partners and the launch of its Databricks Ingest service. The idea here is to make it easier for businesses to combine the best of data warehouses and data lakes into a single platform — a concept Databricks likes to call “lakehouse.”
At the core of the company’s lakehouse is Delta Lake, Databricks’ Linux Foundation-managed open-source project that brings a new storage layer to data lakes that helps users manage the lifecycle of their data and ensures data quality through schema enforcement, log records and more. Databricks users can now work with the first five partners in the Ingestion Network — Fivetran, Qlik, Infoworks, StreamSets, Syncsort — to automatically load their data into Delta Lake. To ingest data from these partners, Databricks customers don’t have to set up any triggers or schedules — instead, data automatically flows into Delta Lake.
“Until now, companies have been forced to split up their data into traditional structured data and big data, and use them separately for BI and ML use cases. This results in siloed data in data lakes and data warehouses, slow processing and partial results that are too delayed or too incomplete to be effectively utilized,” says Ali Ghodsi, co-founder and CEO of Databricks. “This is one of the many drivers behind the shift to a Lakehouse paradigm, which aspires to combine the reliability of data warehouses with the scale of data lakes to support every kind of use case. In order for this architecture to work well, it needs to be easy for every type of data to be pulled in. Databricks Ingest is an important step in making that possible.”
Databricks VP of Product Marketing Bharath Gowda also tells me that this will make it easier for businesses to perform analytics on their most recent data and hence be more responsive when new information comes in. He also noted that users will be able to better leverage their structured and unstructured data for building better machine learning models, as well as to perform more traditional analytics on all of their data instead of just a small slice that’s available in their data warehouse.
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Google launches the first developer preview of Android 11
With the days of desert-themed releases officially behind it, Google today announced the first developer preview of Android 11, which is now available as system images for Google’s own Pixel devices, starting with the Pixel 2.
As of now, there is no way to install the updates over the air. That’s usually something the company makes available at a later stage. These first releases aren’t meant for regular users anyway. Instead, they are a way for developers to test their applications and get a head start on making use of the latest features in the operating system.
“With Android 11 we’re keeping our focus on helping users take advantage of the latest innovations, while continuing to keep privacy and security a top priority,” writes Google VP of Engineering Dave Burke. “We’ve added multiple new features to help users manage access to sensitive data and files, and we’ve hardened critical areas of the platform to keep the OS resilient and secure. For developers, Android 11 has a ton of new capabilities for your apps, like enhancements for foldables and 5G, call-screening APIs, new media and camera capabilities, machine learning, and more.”
Unlike some of Google’s previous early previews, this first version of Android 11 does actually bring quite a few new features to the table. As Burke noted, there are some obligatory 5G features like a new bandwidth estimate API, for example, as well as a new API that checks whether a connection is unmetered so apps can play higher-resolution video, for example.
With Android 11, Google is also expanding its Project Mainline lineup of updatable modules from 10 to 22. With this, Google is able to update critical parts of the operating system without having to rely on the device manufacturers to release a full OS update. Users simply install these updates through the Google Play infrastructure.
Users will be happy to see that Android 11 will feature native support for waterfall screens that cover a device’s edges, using a new API that helps developers manage interactions near those edges.
Also new are some features that developers can use to handle conversational experiences, including a dedicated conversation section in the notification shade, as well as a new chat bubbles API and the ability to insert images into replies you want to send from the notifications pane.
Unsurprisingly, Google is adding a number of new privacy and security features to Android 11, too. These include one-time permissions for sensitive types of data, as well as updates to how the OS handles data on external storage, which it first previewed last year.
As for security, Google is expanding its support for biometrics and adding different levels of granularity (strong, weak and device credential), in addition to the usual hardening of the platform you would expect from a new release.
There are plenty of other smaller updates as well, including some that are specifically meant to make running machine learning applications easier, but Google specifically highlights the fact that Android 11 will also bring a couple of new features to the OS that will help IT manage corporate devices with enhanced work profiles.
This first developer preview of Android 11 is launching about a month earlier than previous releases, so Google is giving itself a bit more time to get the OS ready for a wider launch. Currently, the release schedule calls for monthly developer preview releases until April, followed by three betas and a final release in Q3 2020.
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Google Cloud opens its Seoul region
Google Cloud today announced that its new Seoul region, its first in Korea, is now open for business. The region, which it first talked about last April, will feature three availability zones and support for virtually all of Google Cloud’s standard service, ranging from Compute Engine to BigQuery, Bigtable and Cloud Spanner.
With this, Google Cloud now has a presence in 16 countries and offers 21 regions with a total of 64 zones. The Seoul region (with the memorable name of asia-northeast3) will complement Google’s other regions in the area, including two in Japan, as well as regions in Hong Kong and Taiwan, but the obvious focus here is on serving Korean companies with low-latency access to its cloud services.
“As South Korea’s largest gaming company, we’re partnering with Google Cloud for game development, infrastructure management, and to infuse our operations with business intelligence,” said Chang-Whan Sul, the CTO of Netmarble. “Google Cloud’s region in Seoul reinforces its commitment to the region and we welcome the opportunities this initiative offers our business.”
Over the course of this year, Google Cloud also plans to open more zones and regions in Salt Lake City, Las Vegas and Jakarta, Indonesia.
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SentinelOne raises $200M at a $1.1B valuation to expand its AI-based endpoint security platform
As cybercrime continues to evolve and expand, a startup that is building a business focused on endpoint security has raised a big round of funding. SentinelOne — which provides a machine learning-based solution for monitoring and securing laptops, phones, containerised applications and the many other devices and services connected to a network — has picked up $200 million, a Series E round of funding that it says catapults its valuation to $1.1 billion.
The funding is notable not just for its size but for its velocity: it comes just eight months after SentinelOne announced a Series D of $120 million, which at the time valued the company around $500 million. In other words, the company has more than doubled its valuation in less than a year — a sign of the cybersecurity times.
This latest round is being led by Insight Partners, with Tiger Global Management, Qualcomm Ventures LLC, Vista Public Strategies of Vista Equity Partners, Third Point Ventures and other undisclosed previous investors all participating.
Tomer Weingarten, CEO and co-founder of the company, said in an interview that while this round gives SentinelOne the flexibility to remain in “startup” mode (privately funded) for some time — especially since it came so quickly on the heels of the previous large round — an IPO “would be the next logical step” for the company. “But we’re not in any rush,” he added. “We have one to two years of growth left as a private company.”
While cybercrime is proving to be a very expensive business (or very lucrative, I guess, depending on which side of the equation you sit on), it has also meant that the market for cybersecurity has significantly expanded.
Endpoint security, the area where SentinelOne concentrates its efforts, last year was estimated to be around an $8 billion market, and analysts project that it could be worth as much as $18.4 billion by 2024.
Driving it is the single biggest trend that has changed the world of work in the last decade. Everyone — whether a road warrior or a desk-based administrator or strategist, a contractor or full-time employee, a front-line sales assistant or back-end engineer or executive — is now connected to the company network, often with more than one device. And that’s before you consider the various other “endpoints” that might be connected to a network, including machines, containers and more. The result is a spaghetti of a problem. One survey from LogMeIn, disconcertingly, even found that some 30% of IT managers couldn’t identify just how many endpoints they managed.
“The proliferation of devices and the expanding network are the biggest issues today,” said Weingarten. “The landscape is expanding and it is getting very hard to monitor not just what your network looks like but what your attackers are looking for.”
This is where an AI-based solution like SentinelOne’s comes into play. The company has roots in the Israeli cyberintelligence community but is based out of Mountain View, and its platform is built around the idea of working automatically not just to detect endpoints and their vulnerabilities, but to apply behavioral models, and various modes of protection, detection and response in one go — in a product that it calls its Singularity Platform that works across the entire edge of the network.
“We are seeing more automated and real-time attacks that themselves are using more machine learning,” Weingarten said. “That translates to the fact that you need defence that moves in real time as with as much automation as possible.”
SentinelOne is by no means the only company working in the space of endpoint protection. Others in the space include Microsoft, CrowdStrike, Kaspersky, McAfee, Symantec and many others.
But nonetheless, its product has seen strong uptake to date. It currently has some 3,500 customers, including three of the biggest companies in the world, and “hundreds” from the global 2,000 enterprises, with what it says has been 113% year-on-year new bookings growth, revenue growth of 104% year-on-year and 150% growth year-on-year in transactions over $2 million. It has 500 employees today and plans to hire up to 700 by the end of this year.
One of the key differentiators is the focus on using AI, and using it at scale to help mitigate an increasingly complex threat landscape, to take endpoint security to the next level.
“Competition in the endpoint market has cleared with a select few exhibiting the necessary vision and technology to flourish in an increasingly volatile threat landscape,” said Teddie Wardi, managing director of Insight Partners, in a statement. “As evidenced by our ongoing financial commitment to SentinelOne along with the resources of Insight Onsite, our business strategy and ScaleUp division, we are confident that SentinelOne has an enormous opportunity to be a market leader in the cybersecurity space.”
Weingarten said that SentinelOne “gets approached every year” to be acquired, although he didn’t name any names. Nevertheless, that also points to the bigger consolidation trend that will be interesting to watch as the company grows. SentinelOne has never made an acquisition to date, but it’s hard to ignore that, as the company to expand its products and features, that it might tap into the wider market to bring in other kinds of technology into its stack.
“There are definitely a lot of security companies out there,” Weingarten noted. “Those that serve a very specific market are the targets for consolidation.”
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Google Cloud gets a Secret Manager
Google Cloud today announced Secret Manager, a new tool that helps its users securely store their API keys, passwords, certificates and other data. With this, Google Cloud is giving its users a single tool to manage this kind of data and a centralized source of truth, something that even sophisticated enterprise organizations often lack.
“Many applications require credentials to connect to a database, API keys to invoke a service, or certificates for authentication,” Google developer advocate Seth Vargo and product manager Matt Driscoll wrote in today’s announcement. “Managing and securing access to these secrets is often complicated by secret sprawl, poor visibility, or lack of integrations.”
With Berglas, Google already offered an open-source command-line tool for managing secrets. Secret Manager and Berglas will play well together and users will be able to move their secrets from the open-source tool into Secret Manager and use Berglas to create and access secrets from the cloud-based tool as well.
With KMS, Google also offers a fully managed key management system (as do Google Cloud’s competitors). The two tools are very much complementary. As Google notes, KMS does not actually store the secrets — it encrypts the secrets you store elsewhere. Secret Manager provides a way to easily store (and manage) these secrets in Google Cloud.
Secret Manager includes the necessary tools for managing secret versions and audit logging, for example. Secrets in Secret Manager are also project-based global resources, the company stresses, while competing tools often manage secrets on a regional basis.
The new tool is now in beta and available to all Google Cloud customers.
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Google Cloud gets a premium support plan with 15-minute response times
Google Cloud today announced the launch of its premium support plans for enterprise and mission-critical needs. This new plan brings Google’s support offerings for the Google Cloud Platform (GCP) in line with its premium G Suite support options.
“Premium Support has been designed to better meet the needs of our customers running modern cloud technology,” writes Google’s VP of Cloud Support, Atul Nanda. “And we’ve made investments to improve the customer experience, with an updated support model that is proactive, unified, centered around the customer, and flexible to meet the differing needs of their businesses.”
The premium plan, which Google will charge for based on your monthly GCP spent (with a minimum cost of what looks to be about $12,500 per month), promises a 15-minute response time for P1 cases. Those are situations when an application or infrastructure is unusable in production. Other features include training and new product reviews, as well as support for troubleshooting third-party systems.
Google stresses that the team that will answer a company’s calls will consist of “content-aware experts” that know your application stack and architecture. As with similar premium plans from other vendors, enterprises will have a Technical Account manager who works through these issues with them. Companies with global operations can opt to have (and pay for) technical account managers available during business hours in multiple regions.
The idea here, however, is also to give GCP users more proactive support, which will soon include a site reliability engineering engagement, for example, that is meant to help customers “design a wrapper of supportability around the Google Cloud customer projects that have the highest sensitivity to downtime.” The Support team will also work with customers to get them ready for special events like Black Friday or other peak events in their industry. Over time, the company plans to add more features and additional support plans.
As with virtually all of Google’s recent cloud moves, today’s announcement is part of the company’s efforts to get more enterprises to move to its cloud. Earlier this week, for example, it launched support for IBM’s Power Systems architecture, as well as new infrastructure solutions for retailers. In addition, it also acquired no-code service AppSheet.
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Google brings IBM Power Systems to its cloud
As Google Cloud looks to convince more enterprises to move to its platform, it needs to be able to give businesses an onramp for their existing legacy infrastructure and workloads that they can’t easily replace or move to the cloud. A lot of those workloads run on IBM Power Systems with their Power processors, and, until now, IBM was essentially the only vendor that offered cloud-based Power systems. Now, however, Google is also getting into this game by partnering with IBM to launch IBM Power Systems on Google Cloud.
“Enterprises looking to the cloud to modernize their existing infrastructure and streamline their business processes have many options,” writes Kevin Ichhpurani, Google Cloud’s corporate VP for its global ecosystem, in today’s announcement. “At one end of the spectrum, some organizations are re-platforming entire legacy systems to adopt the cloud. Many others, however, want to continue leveraging their existing infrastructure while still benefiting from the cloud’s flexible consumption model, scalability, and new advancements in areas like artificial intelligence, machine learning, and analytics.”
Power Systems support obviously fits in well here, given that many companies use them for mission-critical workloads based on SAP and Oracle applications and databases. With this, they can take those workloads and slowly move them to the cloud, without having to re-engineer their applications and infrastructure. Power Systems on Google Cloud is obviously integrated with Google’s services and billing tools.
This is very much an enterprise offering, without a published pricing sheet. Chances are, given the cost of a Power-based server, you’re not looking at a bargain, per-minute price here.
Because IBM has its own cloud offering, it’s a bit odd to see it work with Google to bring its servers to a competing cloud — though it surely wants to sell more Power servers. The move makes perfect sense for Google Cloud, though, which is on a mission to bring more enterprise workloads to its platform. Any roadblock the company can remove works in its favor, and, as enterprises get comfortable with its platform, they’ll likely bring other workloads to it over time.
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Sisense nabs $100M at a $1B+ valuation for accessible big data business analytics
Sisense, an enterprise startup that has built a business analytics business out of the premise of making big data as accessible as possible to users — whether it be through graphics on mobile or desktop apps, or spoken through Alexa — is announcing a big round of funding today and a large jump in valuation to underscore its traction. The company has picked up $100 million in a growth round of funding that catapults Sisense’s valuation to over $1 billion, funding that it plans to use to continue building out its tech, as well as for sales, marketing and development efforts.
For context, this is a huge jump: The company was valued at only around $325 million in 2016 when it raised a Series E, according to PitchBook. (It did not disclose valuation in 2018, when it raised a venture round of $80 million.) It now has some 2,000 customers, including Tinder, Philips, Nasdaq and the Salvation Army.
This latest round is being led by the high-profile enterprise investor Insight Venture Partners, with Access Industries, Bessemer Venture Partners, Battery Ventures, DFJ Growth and others also participating. The Access investment was made via Claltech in Israel, and it seems that this led to some details of this getting leaked out as rumors in recent days. Insight is in the news today for another big deal: Wearing its private equity hat, the firm acquired Veeam for $5 billion. (And that speaks to a particular kind of trajectory for enterprise companies that the firm backs: Veeam had already been a part of Insight’s venture portfolio.)
Mature enterprise startups have proven their business cases are going to be an ongoing theme in this year’s fundraising stories, and Sisense is part of that theme, with annual recurring revenues of over $100 million speaking to its stability and current strength. The company has also made some key acquisitions to boost its business, such as the acquisition of Periscope Data last year (coincidentally, also for $100 million, I understand).
Its rise also speaks to a different kind of trend in the market: In the wider world of business intelligence, there is an increasing demand for more digestible data in order to better tap advances in data analytics to use it across organizations. This was also one of the big reasons why Salesforce gobbled up Tableau last year for a slightly higher price: $15.7 billion.
Sisense, bringing in both sleek end user products but also a strong theme of harnessing the latest developments in areas like machine learning and AI to crunch the data and order it in the first place, represents a smaller and more fleet of foot alternative for its customers. “We found a way to make accessing data extremely simple, mashing it together in a logical way and embedding it in every logical place,” explained CEO Amir Orad to us in 2018.
“We have enjoyed watching the Sisense momentum in the past 12 months, the traction from its customers as well as from industry leading analysts for the company’s cloud native platform and new AI capabilities. That coupled with seeing more traction and success with leading companies in our portfolio and outside, led us to want to continue and grow our relationship with the company and lead this funding round,” said Jeff Horing, managing director at Insight Venture Partners, in a statement.
To note, Access Industries is an interesting backer which might also potentially shape up to be strategic, given its ownership of Warner Music Group, Alibaba, Facebook, Square, Spotify, Deezer, Snap and Zalando.
“Given our investments in market leading companies across diverse industries, we realize the value in analytics and machine learning and we could not be more excited about Sisense’s trajectory and traction in the market,” added Claltech’s Daniel Shinar in a statement.
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Google details its approach to cloud-native security
Over the years, Google’s various whitepapers, detailing how the company solves specific problems at scale, have regularly spawned new startup ecosystems and changed how other enterprises think about scaling their own tools. Today, the company is publishing a new security whitepaper that details how it keeps its cloud-native architecture safe.
The name, BeyondProd, already indicates that this is an extension of the BeyondCorp zero trust system the company first introduced a few years ago. While BeyondCorp is about shifting security away from VPNs and firewalls on the perimeter to the individual users and devices, BeyondProd focuses on Google’s zero trust approach to how it connects machines, workloads and services.
Unsurprisingly, BeyondProd is based on pretty much the same principles as BeyondCorp, including network protection at the end, no mutual trust between services, trusted machines running known code, automated and standardized change rollout and isolated workloads. All of this, of course, focuses on securing cloud-native applications that generally communicate over APIs and run on modern infrastructure.
“Altogether, these controls mean that containers and the microservices running inside can be deployed, communicate with each other, and run next to each other, securely; without burdening individual microservice developers with the security and implementation details of the underlying infrastructure,” Google explains.
Google, of course, notes that it is making all of these features available to developers through its own services like GKE and Anthos, its hybrid cloud platform. In addition, though, the company also stresses that a lot of its open-source tools also allow enterprises to build systems that adhere to the same platforms, including the likes of Envoy, Istio, gVisor and others.
“In the same way that BeyondCorp helped us to evolve beyond a perimeter-based security model, BeyondProd represents a similar leap forward in our approach to production security,” Google says. “By applying the security principles in the BeyondProd model to your own cloud-native infrastructure, you can benefit from our experience, to strengthen the deployment of your workloads, how your their communications are secured, and how they affect other workloads.”
You can read the full whitepaper here.
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