cloud computing
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Xbox Cloud Gaming beta starts rolling out on iOS and PC this week
The era of cloud gaming hasn’t arrived with the intensity that may have seemed imminent a couple years ago when major tech platforms announced their plays. In 2021, the market is still pretty much nonexistent despite established presences from nearly all of tech’s biggest players.
Microsoft has been slow to roll out its Xbox Cloud Gaming beta to its users widely across platforms, but that’s likely because they know that, unlike other upstart platforms, there’s not a huge advantage to them rushing out the gate first. This week, the company will begin rolling out the service on iOS and PC to Game Pass Ultimate users, sending out invites to a limited number of users and scaling it up over time.
“The limited beta is our time to test and learn; we’ll send out more invites on a continuous basis to players in all 22 supported countries, evaluate feedback, continue to improve the experience, and add support for more devices,” wrote Xbox’s Catherine Gluckstein in a blog post. “Our plan is to iterate quickly and open up to all Xbox Game Pass Ultimate members in the coming months so more people have the opportunity to play Xbox in all-new ways.”
The service has been available in beta for Android users since last year but it’s been a slow expansion to other platforms outside that world.
A big part of that slowdown has been the result of Apple playing hardball with cloud gaming platform providers, whose business models represent a major threat to App Store gaming revenues. Apple announced a carve-out provision for cloud-gaming platforms that would maintain dependency on the App Store and in-app purchase frameworks but none of the providers seemed very happy with Apple’s solution. As a result, Xbox Cloud Gaming will operate entirely through the web on iOS inside mobile Safari.
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Time-strapped IT teams can use low-code software to drive quick growth
Many emerging and mature organizations survive or die based on their ability to scale. Scale quicker. Scale cheaper. Scale right.
Typically the IT team bears that burden — on top of countless other demands. IT teams move mountains for their organizations while scaling the tech platform as fast as possible, putting out the latest infrastructure fire and responding to countless day-to-day requests.
The most helpful gift any chief information officer or chief technology officer can give their IT teams is more time. Many people think that means adding another team member. Maybe it does in some cases (if you can find a developer in this tough job market), but giving my team Boomi’s low-code integration platform was one of the best strategic moves for HealthBridge.
The best time to use low-code is when you need to add something to your organization that isn’t unique or doesn’t drive significant business value.
As the least skilled coder on the team, low-code let me develop and deliver four customer-centric self-service portals a year ahead of schedule while my team focused on building and scaling our revenue-driving, custom platform by hand-writing code.
Low-code is quickly becoming commonplace and a popular topic among IT decision-makers. Over the last few years, the market has exploded. Gartner expects it to total $13.8 billion in 2021. That means low-code technology, which we’ve been hearing about for years, is ready for widespread adoption. Today, low-code enables you to streamline (and scale) everything from integration to artificial intelligence.
It’s a secret only some organizations are clued in on, but it’s a great way to scale fast, save on resources and give your team more time. Here’s how.
When to use low-code and when to write code
The best time to use low-code is when you need to add something to your organization that isn’t unique or doesn’t drive significant business value.
For instance, a customer portal is not unique; don’t waste time hand-coding it.
While it’s certainly an extremely helpful feature for our customers, it’s unlikely to drive significant shareholder or investor value. However, it’s key for scaling. Using low-code for a must-have but undifferentiated feature will allow your team to work on more important projects while scaling.
When we started working on the timeline for a customer portal project at HealthBridge, we estimated it would take several sprints per portal to develop, but more pressing development work kept pushing it down the list in our backlog. Waiting a year for a basic feature didn’t seem reasonable to me, so we looked for a workaround.
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Google Cloud joins the FinOps Foundation
Google Cloud today announced that it is joining the FinOps Foundation as a Premier Member.
The FinOps Foundation is a relatively new open-source foundation, hosted by the Linux Foundation, that launched last year. It aims to bring together companies in the “cloud financial management” space to establish best practices and standards. As the term implies, “cloud financial management” is about the tools and practices that help businesses manage and budget their cloud spend. There’s a reason, after all, that there are a number of successful startups that do nothing else but help businesses optimize their cloud spend (and ideally lower it).
Maybe it’s no surprise that the FinOps Foundation was born out of Cloudability’s quarterly Customer Advisory Board meetings. Until now, CloudHealth by VMware was the Foundation’s only Premiere Member among its vendor members. Other members include Cloudability, Densify, Kubecost and SoftwareOne. With Google Cloud, the Foundation has now signed up its first major cloud provider.
“FinOps best practices are essential for companies to monitor, analyze and optimize cloud spend across tens to hundreds of projects that are critical to their business success,” said Yanbing Li, vice president of Engineering and Product at Google Cloud. “More visibility, efficiency and tools will enable our customers to improve their cloud deployments and drive greater business value. We are excited to join FinOps Foundation, and together with like-minded organizations, we will shepherd behavioral change throughout the industry.”
Google Cloud has already committed to sending members to some of the Foundation’s various Special Interest Groups (SIGs) and Working Groups to “help drive open-source standards for cloud financial management.”
“The practitioners in the FinOps Foundation greatly benefit when market leaders like Google Cloud invest resources and align their product offerings to FinOps principles and standards,” said J.R. Storment, executive director of the FinOps Foundation. “We are thrilled to see Google Cloud increase its commitment to the FinOps Foundation, joining VMware as the second of three dedicated Premier Member Technical Advisory Council seats.”
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Spinning out from the cryptocurrency hardware developer Bitfury, LiquidStack pitches a data center cooling tech
Data centers and bitcoin mining operations are becoming huge energy hogs, and the explosive growth of both risks undoing a lot of the progress that’s been made to reduce global greenhouse gas emissions. It’s one of the major criticisms of cryptocurrency operations and something that many in the industry are trying to address.
Enter LiquidStack, a company that’s spinning out from the cryptocurrency hardware technology developer Bitfury Group with a $10 million investment.
The company, which was formerly known as Allied Control Limited, restructured as a commercial operating company headquartered in the Netherlands with commercial operations in the U.S. and research and development in Hong Kong, according to a statement.
It was first acquired by Bitfury in 2015 after building a two-phase immersion cooling 500kW data center in Hong Kong, that purportedly cut energy consumption by 95% versus traditional air cooling technologies. Later, the companies jointly deployed 160 megawatts of two-phase immersion-cooled data centers.
“Bitfury has been innovating across multiple industries and sees major growth opportunities with LiquidStack’s game-changing cooling solutions for compute-intensive applications and infrastructure,” said Valery Vavilov, CEO of Bitfury. “I believe LiquidStack’s leadership team, together with our customers and strategic support from Wiwynn, will rapidly accelerate the global adoption and deployment of two-phase immersion cooling.”
The $10 million in funding came from the Taiwanese conglomerate Wiwynn, a data center and infrastructure developer with revenues of $6.3 billion last year.
“Wiwynn continues to invest in advanced cooling solutions to address the challenges of fast-growing power consumption and density for cloud computing, AI, and HPC,” said Emily Hong, chief executive of Wiwynn, in a statement.
In a statement, LiquidStack said its technology could enable at least 21 times more heat rejection per IT rack compared to air cooling — all without the need for water. The company said its cooling method results in a 41% reduction in energy used for cooling and a 60% reduction in data center space.
“Bitfury has always been focused on leading by example and is a technology driven company from the top of the organization, to its grass roots,” said Joe Capes, co-founder and chief executive of LiquidStack, in a statement. “Launching LiquidStack with new funding enables us to focus on our strengths and capabilities, accelerating the development of liquid cooling technology, products and services to help solve real thermal and sustainability challenges driven by the adoption of cloud services, AI, edge and high-performance computing.”
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Google Cloud launches a new support option for mission critical workloads
Google Cloud today announced the launch of a new support option for its Premium Support customers that run mission-critical services on its platform. The new service, imaginatively dubbed Mission Critical Services (MCS), brings Google’s own experience with Site Reliability Engineering to its customers. This is not Google completely taking over the management of these services, though. Instead, the company describes it as a “consultative offering in which we partner with you on a journey toward readiness.”
Initially, Google will work with its customers to improve — or develop — the architecture of their apps and help them instrument the right monitoring systems and controls, as well as help them set and raise their service-level objectives (a key feature in the Site Reliability Engineering philosophy).
Later, Google will also provide ongoing check-ins with its engineers and walk customers through tune-ups architecture reviews. “Our highest tier of engineers will have deep familiarity with your workloads, allowing us to monitor, prevent, and mitigate impacts quickly, delivering the fastest response in the industry. For example, if you have any issues–24-hours-a-day, seven-days-a-week–we’ll spin up a live war room with our experts within five minutes,” Google Cloud’s VP for Customer Experience, John Jester, explains in today’s announcement.
This new offering is another example of how Google Cloud is trying to differentiate itself from the rest of the large cloud providers. Its emphasis today is on providing the high-touch service experiences that were long missing from its platform, with a clear emphasis on the needs of large enterprise customers. That’s what Thomas Kurian promised to do when he became the organization’s CEO and he’s clearly following through.
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Aqua Security raises $135M at a $1B valuation for its cloud native security platform
Aqua Security, a Boston- and Tel Aviv-based security startup that focuses squarely on securing cloud-native services, today announced that it has raised a $135 million Series E funding round at a $1 billion valuation. The round was led by ION Crossover Partners. Existing investors M12 Ventures, Lightspeed Venture Partners, Insight Partners, TLV Partners, Greenspring Associates and Acrew Capital also participated. In total, Aqua Security has now raised $265 million since it was founded in 2015.
The company was one of the earliest to focus on securing container deployments. And while many of its competitors were acquired over the years, Aqua remains independent and is now likely on a path to an IPO. When it launched, the industry focus was still very much on Docker and Docker containers. To the detriment of Docker, that quickly shifted to Kubernetes, which is now the de facto standard. But enterprises are also now looking at serverless and other new technologies on top of this new stack.
“Enterprises that five years ago were experimenting with different types of technologies are now facing a completely different technology stack, a completely different ecosystem and a completely new set of security requirements,” Aqua CEO Dror Davidoff told me. And with these new security requirements came a plethora of startups, all focusing on specific parts of the stack.
Image Credits: Aqua Security
What set Aqua apart, Dror argues, is that it managed to 1) become the best solution for container security and 2) realized that to succeed in the long run, it had to become a platform that would secure the entire cloud-native environment. About two years ago, the company made this switch from a product to a platform, as Davidoff describes it.
“There was a spree of acquisitions by CheckPoint and Palo Alto [Networks] and Trend [Micro],” Davidoff said. “They all started to acquire pieces and tried to build a more complete offering. The big advantage for Aqua was that we had everything natively built on one platform. […] Five years later, everyone is talking about cloud-native security. No one says ‘container security’ or ‘serverless security’ anymore. And Aqua is practically the broadest cloud-native security [platform].”
One interesting aspect of Aqua’s strategy is that it continues to bet on open source, too. Trivy, its open-source vulnerability scanner, is the default scanner for GitLab’s Harbor Registry and the CNCF’s Artifact Hub, for example.
“We are probably the best security open-source player there is because not only do we secure from vulnerable open source, we are also very active in the open-source community,” Davidoff said (with maybe a bit of hyperbole). “We provide tools to the community that are open source. To keep evolving, we have a whole open-source team. It’s part of the philosophy here that we want to be part of the community and it really helps us to understand it better and provide the right tools.”
In 2020, Aqua, which mostly focuses on mid-size and larger companies, doubled the number of paying customers and it now has more than half a dozen customers with an ARR of over $1 million each.
Davidoff tells me the company wasn’t actively looking for new funding. Its last funding round came together only a year ago, after all. But the team decided that it wanted to be able to double down on its current strategy and raise sooner than originally planned. ION had been interested in working with Aqua for a while, Davidoff told me, and while the company received other offers, the team decided to go ahead with ION as the lead investor (with all of Aqua’s existing investors also participating in this round).
“We want to grow from a product perspective, we want to grow from a go-to-market [perspective] and expand our geographical coverage — and we also want to be a little more acquisitive. That’s another direction we’re looking at because now we have the platform that allows us to do that. […] I feel we can take the company to great heights. That’s the plan. The market opportunity allows us to dream big.”
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Microsoft launches Azure Percept, its new hardware and software platform to bring AI to the edge
Microsoft today announced Azure Percept, its new hardware and software platform for bringing more of its Azure AI services to the edge. Percept combines Microsoft’s Azure cloud tools for managing devices and creating AI models with hardware from Microsoft’s device partners. The general idea here is to make it far easier for all kinds of businesses to build and implement AI for things like object detection, anomaly detections, shelf analytics and keyword spotting at the edge by providing them with an end-to-end solution that takes them from building AI models to deploying them on compatible hardware.
To kickstart this, Microsoft also today launches a hardware development kit with an intelligent camera for vision use cases (dubbed Azure Percept Vision). The kit features hardware-enabled AI modules for running models at the edge, but it can also be connected to the cloud. Users will also be able to trial their proofs-of-concept in the real world because the development kit conforms to the widely used 80/20 T-slot framing architecture.
In addition to Percept Vision, Microsoft is also launching Azure Percept Audio for audio-centric use cases.
Azure Percept devices, including Trust Platform Module, Azure Percept Vision and Azure Percept Audio. Image Credits: Microsoft
“We’ve started with the two most common AI workloads, vision and voice, sight and sound, and we’ve given out that blueprint so that manufacturers can take the basics of what we’ve started,” said Roanne Sones, the corporate vice president of Microsoft’s edge and platform group. “But they can envision it in any kind of responsible form factor to cover a pattern of the world.”
Percept customers will have access to Azure’s cognitive service and machine learning models and Percept devices will automatically connect to Azure’s IoT hub.
Microsoft says it is working with silicon and equipment manufacturers to build an ecosystem of “intelligent edge devices that are certified to run on the Azure Percept platform.” Over the course of the next few months, Microsoft plans to certify third-party devices for inclusion in this program, which will ideally allow its customers to take their proofs-of-concept and easily deploy them to any certified devices.
“Anybody who builds a prototype using one of our development kits, if they buy a certified device, they don’t have to do any additional work,” said Christa St. Pierre, a product manager in Microsoft’s Azure edge and platform group.
St. Pierre also noted that all of the components of the platform will have to conform to Microsoft’s responsible AI principles — and go through extensive security testing.
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Google Cloud puts its Kubernetes Engine on autopilot
Google Cloud today announced a new operating mode for its Kubernetes Engine (GKE) that turns over the management of much of the day-to-day operations of a container cluster to Google’s own engineers and automated tools. With Autopilot, as the new mode is called, Google manages all of the Day 2 operations of managing these clusters and their nodes, all while implementing best practices for operating and securing them.
This new mode augments the existing GKE experience, which already managed most of the infrastructure of standing up a cluster. This “standard” experience, as Google Cloud now calls it, is still available and allows users to customize their configurations to their heart’s content and manually provision and manage their node infrastructure.
Drew Bradstock, the group product manager for GKE, told me that the idea behind Autopilot was to bring together all of the tools that Google already had for GKE and bring them together with its SRE teams who know how to run these clusters in production — and have long done so inside of the company.
“Autopilot stitches together auto-scaling, auto-upgrades, maintenance, Day 2 operations and — just as importantly — does it in a hardened fashion,” Bradstock noted. “[ … ] What this has allowed our initial customers to do is very quickly offer a better environment for developers or dev and test, as well as production, because they can go from Day Zero and the end of that five-minute cluster creation time, and actually have Day 2 done as well.”
Image Credits: Google
From a developer’s perspective, nothing really changes here, but this new mode does free up teams to focus on the actual workloads and less on managing Kubernetes clusters. With Autopilot, businesses still get the benefits of Kubernetes, but without all of the routine management and maintenance work that comes with that. And that’s definitely a trend we’ve been seeing as the Kubernetes ecosystem has evolved. Few companies, after all, see their ability to effectively manage Kubernetes as their real competitive differentiator.
All of that comes at a price, of course, in addition to the standard GKE flat fee of $0.10 per hour and cluster (there’s also a free GKE tier that provides $74.40 in billing credits), plus additional fees for resources that your clusters and pods consume. Google offers a 99.95% SLA for the control plane of its Autopilot clusters and a 99.9% SLA for Autopilot pods in multiple zones.
Image Credits: Google
Autopilot for GKE joins a set of container-centric products in the Google Cloud portfolio that also include Anthos for running in multicloud environments and Cloud Run, Google’s serverless offering. “[Autopilot] is really [about] bringing the automation aspects in GKE we have for running on Google Cloud, and bringing it all together in an easy-to-use package, so that if you’re newer to Kubernetes, or you’ve got a very large fleet, it drastically reduces the amount of time, operations and even compute you need to use,” Bradstock explained.
And while GKE is a key part of Anthos, that service is more about brining Google’s config management, service mesh and other tools to an enterprise’s own data center. Autopilot of GKE is, at least for now, only available on Google Cloud.
“On the serverless side, Cloud Run is really, really great for an opinionated development experience,” Bradstock added. “So you can get going really fast if you want an app to be able to go from zero to 1,000 and back to zero — and not worry about anything at all and have it managed entirely by Google. That’s highly valuable and ideal for a lot of development. Autopilot is more about simplifying the entire platform people work on when they want to leverage the Kubernetes ecosystem, be a lot more in control and have a whole bunch of apps running within one environment.”
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Google Cloud launches Apigee X, the next generation of its API management platform
Google today announced the launch of Apigee X, the next major release of the Apgiee API management platform it acquired back in 2016.
“If you look at what’s happening — especially after the pandemic started in March last year — the volume of digital activities has gone up in every kind of industry, all kinds of use cases are coming up. And one of the things we see is the need for a really high-performance, reliable, global digital transformation platform,” Amit Zavery, Google Cloud’s head of platform, told me.
He noted that the number of API calls has gone up 47% from last year and that the platform now handles about 2.2 trillion API calls per year.
At the core of the updates are deeper integrations with Google Cloud’s AI, security and networking tools. In practice, this means Apigee users can now deploy their APIs across 24 Google Cloud regions, for example, and use Google’s caching services in more than 100 edge locations.
Image Credits: Google
In addition, Apigee X now integrates with Google’s Cloud Armor firewall and its Cloud Identity Access Management platform. This also means that Apigee users won’t have to use third-party tools for their firewall and identity management needs.
“We do a lot of AI/ML-based anomaly detection and operations management,” Zavery explained. “We can predict any kind of malicious intent or any other things which might happen to those API calls or your traffic by embedding a lot of those insights into our API platform. I think [that] is a big improvement, as well as new features, especially in operations management, security management, vulnerability management and making those a core capability so that as a business, you don’t have to worry about all these things. It comes with the core capabilities and that is really where the front doors of digital front-ends can shine and customers can focus on that.”
The platform now also makes better use of Google’s AI capabilities to help users identify anomalies or predict traffic for peak seasons. The idea here is to help customers automate a lot of the standards automation tasks and, of course, improve security at the same time.
As Zavery stressed, API management is now about more than just managing traffic between applications. But more than just helping customers manage their digital transformation projects, the Apigee team is now thinking about what it calls “digital excellence.” “That’s how we’re thinking of the journey for customers moving from not just ‘hey, I can have a front end,’ but what about all the excellent things you want to do and how we can do that,” Zavery said.
“During these uncertain times, organizations worldwide are doubling-down on their API strategies to operate anywhere, automate processes, and deliver new digital experiences quickly and securely,” said James Fairweather, chief innovation officer at Pitney Bowes. “By powering APIs with new capabilities like reCAPTCHA Enterprise, Cloud Armor (WAF), and Cloud CDN, Apigee X makes it easy for enterprises like us to scale digital initiatives, and deliver innovative experiences to our customers, employees and partners.”
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Cloud infrastructure startup CloudNatix gets $4.5 million seed round led by DNX Ventures
CloudNatix founder and chief executive officer Rohit Seth. Image Credits: CloudNatix
CloudNatix, a startup that provides infrastructure for businesses with multiple cloud and on-premise operations, announced it has raised $4.5 million in seed funding. The round was led by DNX Ventures, an investment firm that focuses on United States and Japanese B2B startups, with participation from Cota Capital. Existing investors Incubate Fund, Vela Partners and 468 Capital also contributed.
The company also added DNX Ventures managing partner Hiro Rio Maeda to its board of directors.
CloudNatix was founded in 2018 by chief executive officer Rohit Seth, who previously held lead engineering roles at Google. The company’s platform helps businesses reduce IT costs by analyzing their infrastructure spending and then using automation to make IT operations across multiple clouds more efficient. The company’s typical customer spends between $500,000 to $50 million on infrastructure each year, and use at least one cloud service provider in addition to on-premise networks.
Built on open-source software like Kubernetes and Prometheus, CloudNatix works with all major cloud providers and on-premise networks. For DevOps teams, it helps configure and manage infrastructure that runs both legacy and modern cloud-native applications, and enables them to transition more easily from on-premise networks to cloud services.
CloudNatix competes most directly with VMware and Red Hat OpenShift. But both of those services are limited to their base platforms, while CloudNatix’s advantage is that it is agnostic to base platforms and cloud service providers, Seth told TechCrunch.
The company’s seed round will be used to scale its engineering, customer support and sales teams.
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