cloud computing
Auto Added by WPeMatico
Vizion.ai launches its managed Elasticsearch service
Setting up Elasticsearch, the open-source system that many companies large and small use to power their distributed search and analytics engines, isn’t the hardest thing. What is very hard, though, is to provision the right amount of resources to run the service, especially when your users’ demand comes in spikes, without overpaying for unused capacity. Vizion.ai’s new Elasticsearch Service does away with all of this by essentially offering Elasticsearch as a service and only charging its customers for the infrastructure they use.
Vizion.ai’s service automatically scales up and down as needed. It’s a managed service and delivered as a SaaS platform that can support deployments on both private and public clouds, with full API compatibility with the standard Elastic stack that typically includes tools like Kibana for visualizing data, Beats for sending data to the service and Logstash for transforming the incoming data and setting up data pipelines. Users can easily create several stacks for testing and development, too, for example.
Vizion.ai GM and VP Geoff Tudor
“When you go into the AWS Elasticsearch service, you’re going to be looking at dozens or hundreds of permutations for trying to build your own cluster,” Vision.ai’s VP and GM Geoff Tudor told me. “Which instance size? How many instances? Do I want geographical redundancy? What’s my networking? What’s my security? And if you choose wrong, then that’s going to impact the overall performance. […] We do balancing dynamically behind that infrastructure layer.” To do this, the service looks at the utilization patterns of a given user and then allocates resources to optimize for the specific use case.
What VVizion.ai hasdone here is take some of the work from its parent company Panzura, a multi-cloud storage service for enterprises that has plenty of patents around data caching, and applied it to this new Elasticsearch service.
There are obviously other companies that offer commercial Elasticsearch platforms already. Tudor acknowledges this, but argues that his company’s platform is different. With other products, he argues, you have to decide on the size of your block storage for your metadata upfront, for example, and you typically want SSDs for better performance, which can quickly get expensive. Thanks to Panzura’s IP, Vizion.ai is able to bring down the cost by caching recent data on SSDs and keeping the rest in cheaper object storage pools.
He also noted that the company is positioning the overall Vizion.ai service, with the Elasticsearch service as one of the earliest components, as a platform for running AI and ML workloads. Support for TensorFlow, PredictionIO (which plays nicely with Elasticsearch) and other tools is also in the works. “We want to make this an easy serverless ML/AI consumption in a multi-cloud fashion, where not only can you leverage the compute, but you can also have your storage of record at a very cost-effective price point.”
Powered by WPeMatico
Adobe launches its Commerce Cloud, based on its Magento acquisition
Adobe today announced the launch of its Commerce Cloud, the newest part of the company’s Experience Cloud. Unsurprisingly, the Commerce Cloud builds on the company’s $1.68 billion acquisition of Magento last May. Indeed, at its core, the Adobe Commerce Cloud is essentially a fully managed cloud-based version of the Magento platform that is fully integrated with the rest of Adobe’s tools, including its Analytics Cloud, Marketing Cloud and Advertising Cloud.
With this launch, Adobe is also extending the platform by adding new features like dashboards for keeping an eye on a company’s e-commerce strategy and, for the first time, an integration with the Amazon marketplace from which users will be able to directly manage within the Commerce Cloud interface.
“For Adobe, that’s really important because it actually closes the last mile in its Experience offering,” said Jason Woosley, Adobe’s VP of its commerce product and platform and Magento’s former VP of product and technology. “It’s no mystery that they’ve been looking at commerce offerings in the past. We’re just super glad that they settled on us.”
Woosley also stressed that this new product isn’t just about closing the last mile for Adobe from a commerce perspective but also from a data intelligence perspective.”If you think about behavioral data you get from your interactions with our content, that’s all very critical for understanding how your customers are interacting with your brand,” he said. “But now that we’ve got a commerce offering, we are actually able to put the dollars and cents behind that.”
Adobe notes that this new offering also means that Magento users won’t have to worry about the operational aspects of running the service themselves. To ensure that it can manage this for these customers, the company has tweaked the service to be flexible and scalable on its platform.
Woosley also stressed the importance of the Amazon integration that launches with the Commerce Cloud. “Love it or hate it,” he said of Amazon. “Either you are comfortable participating in those marketplaces or you are not, but at the end of the day, they are capturing more and more of the initial product search.” Commerce Cloud users will be able to pick and choose which parts of their inventory will appear on Amazon and at what prices. Plenty of brands, after all, only want to showcase a selection of their products on Amazon to drive their brand awareness and then drive customers back to their own e-commerce stores.
It’s worth noting that all of the usual Magento extensions will work on the Adobe Commerce Cloud. That’s important given that there are more than 300,000 developers in the Magento ecosystem, plus thousands of partners. With that, the Commerce Cloud can cover quite a few use cases that wouldn’t be important enough for Adobe itself to put its own resources behind but that make the platform attractive for a wider range of potential users.
Powered by WPeMatico
Tencent Q4 profit disappoints, but cloud and payments gain ground
China’s Tencent reported disappointing profits in the fourth quarter on the back of surging costs but saw emerging businesses pick up steam as it plots to diversify amid slackening gaming revenues.
Net profit for the quarter slid 32 percent to 14.2 billion yuan ($2.1 billion), behind analysts’ forecast of 18.3 billion yuan. The decrease was due to one-off expenses related to its portfolio companies and investments in non-gaming segments like video content and financial technology.
Excluding non-cash items and M&A deals, Tencent’s net profit from the period rose 13 percent to 19.7 billion yuan ($2.88 billion). The company has to date invested in more than 700 companies, 100 of which are valued over $1 billion each and 60 of which have gone public.
Quarterly revenue edged up 28 percent to 84.9 billion yuan ($12.4 billion) beating expectations.
The Hong Kong-listed company is best known for its billion-user WeChat messenger but had for years relied heavily on a high-margin gaming business. That was until a months-long freeze on games approvals last year that delayed monetization for new titles, spurring a major reorg in the firm to put more focus on enterprise services, including cloud computing and financial technology.
Tencent has received approvals for eight games since China resumed the licensing process, although its blockbusters PlayerUnknown Battlegrounds and Fortnite have yet to get the green light. The firm also warned of a “sizeable backlog” for license applications in the industry, which means its “scheduled game releases will initially be slower than in some prior years.”
Video games for the quarter contributed 28.5 percent of Tencent’s total revenues, compared to 36.7 percent in the year-earlier period. Despite the domestic fiasco, Tencent remains as the world’s largest games publisher by revenue, according to data compiled by NewZoo. The firm has also gotten more aggressive in taking its titles global.
Social network revenues rose 25 percent on account of growth in live streaming and video subscriptions. The segment made up 22.9 percent of total revenues. Tencent has in recent years spent heavily on making original content and licensing programs as it competes with Baidu’s iQiyi video streaming site. Tencent claimed 89 million subscribers in the latest quarter, compared with iQiyi’s 87.4 million.
Tencent has been relatively slow to monetize WeChat in contrast to its western counterpart Facebook, though it’s under more pressure to step up its game. Tencent’s advertising revenue from the quarter grew 38 percent thanks to expanding advertising inventory on WeChat. Ads accounted for 20 percent of the firm’s quarterly revenues.
All told, WeChat and its local version Weixin reached nearly 1.1 billion monthly active users; 750 million of them checked their friends’ WeChat feeds, and Tencent recently introduced a Snap Story-like feature to lock users in as it vies for eyeball time with challenger TikTok.
The “others” category, composed of financial technology and cloud computing, grew 71.8 percent to generate 28.5 percent of total revenues. WeChat’s e-wallet, which is going neck-and-neck with Alibaba affiliate Alipay, saw daily transaction volume exceed 1 billion last year. During the fourth quarter, merchants who used WeChat Pay monthly grew more than 80 percent year-over-year.
Meanwhile, cloud revenues doubled to 9.1 billion yuan in 2018, thanks to Tencent’s dominance in the gaming sector as its cloud infrastructure now powers over half of the China-based games companies and is following these clients overseas. Tencent meets Alibaba head-on again in the cloud sector. For comparison, Alibaba’s most recent quarterly cloud revenue was 6.6 billion yuan. Just yesterday, the e-commerce leader claimed that its cloud business is larger than the second to eight players in China combined.
Powered by WPeMatico
Windows Virtual Desktop is now in public preview
Last year, Microsoft announced the launch of its Windows Virtual Desktop service. At the time, this was a private preview, but starting today, any enterprise user who wants to try out what using a virtual Windows 10 desktop that’s hosted in the Azure cloud looks like will be able to give it a try.
It’s worth noting that this is very much a product for businesses. You’re not going to use this to play Apex Legends on a virtual machine somewhere in the cloud. The idea here is that a service like this, which also includes access to Office 365 ProPlus, makes managing machines and the software that runs on them easier for enterprises. It also allows employers in regulated industries to provide their mobile workers with a virtual desktop that ensures that all of their precious data remains secure.
One stand-out feature here is that businesses can run multiple Windows 10 sessions on a single virtual machine.
It’s also worth noting that many of the features of this service are powered by technology from FSLogix, which Microsoft acquired last year. Specifically, these technologies allow Microsoft to give the non-persistent users relatively fast access to applications like their Outlook and OneDrive applications, for example.
For most Microsoft 365 enterprise customers, access to this service is simply part of the subscription cost they already pay — though they will need an Azure subscription and to pay for the virtual machines that run in the cloud.
Right now, the service is only available in the US East 2 and US Central Azure regions. Over time, and once the preview is over, Microsoft will expand it to all of its cloud regions.
Powered by WPeMatico
Google’s hybrid cloud platform is now in beta
Last July, at its Cloud Next conference, Google announced the Cloud Services Platform, its first real foray into bringing its own cloud services into the enterprise data center as a managed service. Today, the Cloud Services Platform (CSP) is launching into beta.
It’s important to note that the CSP isn’t — at least for the time being — Google’s way of bringing all of its cloud-based developer services to the on-premises data center. In other words, this is a very different project from something like Microsoft’s Azure Stack. Instead, the focus is on the Google Kubernetes Engine, which allows enterprises to then run their applications in both their own data centers and on virtually any cloud platform that supports containers.
As Google Cloud engineering director Chen Goldberg told me, the idea here it to help enterprises innovate and modernize. “Clearly, everybody is very excited about cloud computing, on-demand compute and managed services, but customers have recognized that the move is not that easy,” she said and noted that the vast majority of enterprises are adopting a hybrid approach. And while containers are obviously still a very new technology, she feels good about this bet on the technology because most enterprises are already adopting containers and Kubernetes — and they are doing so at exactly the same time as they are adopting cloud and especially hybrid clouds.
It’s important to note that CSP is a managed platform. Google handles all of the heavy lifting like upgrades and security patches. And for enterprises that need an easy way to install some of the most popular applications, the platform also supports Kubernetes applications from the GCP Marketplace.
As for the tech itself, Goldberg stressed that this isn’t just about Kubernetes. The service also uses Istio, for example, the increasingly popular service mesh that makes it easier for enterprises to secure and control the flow of traffic and API calls between its applications.
With today’s release, Google is also launching its new CSP Config Management tool to help users create multi-cluster policies and set up and enforce access controls, resource quotas and more. CSP also integrates with Google’s Stackdriver Monitoring service and continuous delivery platforms.
“On-prem is not easy,” Goldberg said, and given that this is the first time the company is really supporting software in a data center that is not its own, that’s probably an understatement. But Google also decided that it didn’t want to force users into a specific set of hardware specifications like Azure Stack does, for example. Instead, CSP sits on top of VMware’s vSphere server virtualization platform, which most enterprises already use in their data centers anyway. That surely simplifies things, given that this is a very well-understood platform.
Powered by WPeMatico
Why Daimler moved its big data platform to the cloud
Like virtually every big enterprise company, a few years ago, the German auto giant Daimler decided to invest in its own on-premises data centers. And while those aren’t going away anytime soon, the company today announced that it has successfully moved its on-premises big data platform to Microsoft’s Azure cloud. This new platform, which the company calls eXtollo, is Daimler’s first major service to run outside of its own data centers, though it’ll probably not be the last.
As Daimler’s head of its corporate center of excellence for advanced analytics and big data Guido Vetter told me, the company started getting interested in big data about five years ago. “We invested in technology — the classical way, on-premise — and got a couple of people on it. And we were investigating what we could do with data because data is transforming our whole business as well,” he said.
By 2016, the size of the organization had grown to the point where a more formal structure was needed to enable the company to handle its data at a global scale. At the time, the buzz phrase was “data lakes” and the company started building its own in order to build out its analytics capacities.
Electric lineup, Daimler AG
“Sooner or later, we hit the limits as it’s not our core business to run these big environments,” Vetter said. “Flexibility and scalability are what you need for AI and advanced analytics and our whole operations are not set up for that. Our backend operations are set up for keeping a plant running and keeping everything safe and secure.” But in this new world of enterprise IT, companies need to be able to be flexible and experiment — and, if necessary, throw out failed experiments quickly.
So about a year and a half ago, Vetter’s team started the eXtollo project to bring all the company’s activities around advanced analytics, big data and artificial intelligence into the Azure Cloud, and just over two weeks ago, the team shut down its last on-premises servers after slowly turning on its solutions in Microsoft’s data centers in Europe, the U.S. and Asia. All in all, the actual transition between the on-premises data centers and the Azure cloud took about nine months. That may not seem fast, but for an enterprise project like this, that’s about as fast as it gets (and for a while, it fed all new data into both its on-premises data lake and Azure).
If you work for a startup, then all of this probably doesn’t seem like a big deal, but for a more traditional enterprise like Daimler, even just giving up control over the physical hardware where your data resides was a major culture change and something that took quite a bit of convincing. In the end, the solution came down to encryption.
“We needed the means to secure the data in the Microsoft data center with our own means that ensure that only we have access to the raw data and work with the data,” explained Vetter. In the end, the company decided to use the Azure Key Vault to manage and rotate its encryption keys. Indeed, Vetter noted that knowing that the company had full control over its own data was what allowed this project to move forward.
Vetter tells me the company obviously looked at Microsoft’s competitors as well, but he noted that his team didn’t find a compelling offer from other vendors in terms of functionality and the security features that it needed.
Today, Daimler’s big data unit uses tools like HD Insights and Azure Databricks, which covers more than 90 percents of the company’s current use cases. In the future, Vetter also wants to make it easier for less experienced users to use self-service tools to launch AI and analytics services.
While cost is often a factor that counts against the cloud, because renting server capacity isn’t cheap, Vetter argues that this move will actually save the company money and that storage costs, especially, are going to be cheaper in the cloud than in its on-premises data center (and chances are that Daimler, given its size and prestige as a customer, isn’t exactly paying the same rack rate that others are paying for the Azure services).
As with so many big data AI projects, predictions are the focus of much of what Daimler is doing. That may mean looking at a car’s data and error code and helping the technician diagnose an issue or doing predictive maintenance on a commercial vehicle. Interestingly, the company isn’t currently bringing to the cloud any of its own IoT data from its plants. That’s all managed in the company’s on-premises data centers because it wants to avoid the risk of having to shut down a plant because its tools lost the connection to a data center, for example.
Powered by WPeMatico
Peltarion raises $20M for its AI platform
Peltarion, a Swedish startup founded by former execs from companies like Spotify, Skype, King, TrueCaller and Google, today announced that it has raised a $20 million Series A funding round led by Euclidean Capital, the family office for hedge fund billionaire James Simons. Previous investors FAM and EQT Ventures also participated, and this round brings the company’s total funding to $35 million.
There is obviously no dearth of AI platforms these days. Peltarion focus on what it calls “operational AI.” The service offers an end-to-end platform that lets you do everything from pre-processing your data to building models and putting them into production. All of this runs in the cloud and developers get access to a graphical user interface for building and testing their models. All of this, the company stresses, ensures that Peltarion’s users don’t have to deal with any of the low-level hardware or software and can instead focus on building their models.
“The speed at which AI systems can be built and deployed on the operational platform is orders of magnitude faster compared to the industry standard tools such as TensorFlow and require far fewer people and decreases the level of technical expertise needed,” Luka Crnkovic-Friis, of Peltarion’s CEO and co-founder, tells me. “All this results in more organizations being able to operationalize AI and focusing on solving problems and creating change.”
In a world where businesses have a plethora of choices, though, why use Peltarion over more established players? “Almost all of our clients are worried about lock-in to any single cloud provider,” Crnkovic-Friis said. “They tend to be fine using storage and compute as they are relatively similar across all the providers and moving to another cloud provider is possible. Equally, they are very wary of the higher-level services that AWS, GCP, Azure, and others provide as it means a complete lock-in.”
Peltarion, of course, argues that its platform doesn’t lock in its users and that other platforms take far more AI expertise to produce commercially viable AI services. The company rightly notes that, outside of the tech giants, most companies still struggle with how to use AI at scale. “They are stuck on the starting blocks, held back by two primary barriers to progress: immature patchwork technology and skills shortage,” said Crnkovic-Friis.
The company will use the new funding to expand its development team and its teams working with its community and partners. It’ll also use the new funding for growth initiatives in the U.S. and other markets.
Powered by WPeMatico
Microsoft Azure sets its sights on more analytics workloads
Enterprises now amass huge amounts of data, both from their own tools and applications, as well as from the SaaS applications they use. For a long time, that data was basically exhaust. Maybe it was stored for a while to fulfill some legal requirements, but then it was discarded. Now, data is what drives machine learning models, and the more data you have, the better. It’s maybe no surprise, then, that the big cloud vendors started investing in data warehouses and lakes early on. But that’s just a first step. After that, you also need the analytics tools to make all of this data useful.
Today, it’s Microsoft turn to shine the spotlight on its data analytics services. The actual news here is pretty straightforward. Two of these are services that are moving into general availability: the second generation of Azure Data Lake Storage for big data analytics workloads and Azure Data Explorer, a managed service that makes easier ad-hoc analysis of massive data volumes. Microsoft is also previewing a new feature in Azure Data Factory, its graphical no-code service for building data transformation. Data Factory now features the ability to map data flows.
Those individual news pieces are interesting if you are a user or are considering Azure for your big data workloads, but what’s maybe more important here is that Microsoft is trying to offer a comprehensive set of tools for managing and storing this data — and then using it for building analytics and AI services.
(Photo credit:Josh Edelson/AFP/Getty Images)
“AI is a top priority for every company around the globe,” Julia White, Microsoft’s corporate VP for Azure, told me. “And as we are working with our customers on AI, it becomes clear that their analytics often aren’t good enough for building an AI platform.” These companies are generating plenty of data, which then has to be pulled into analytics systems. She stressed that she couldn’t remember a customer conversation in recent months that didn’t focus on AI. “There is urgency to get to the AI dream,” White said, but the growth and variety of data presents a major challenge for many enterprises. “They thought this was a technology that was separate from their core systems. Now it’s expected for both customer-facing and line-of-business applications.”
Data Lake Storage helps with managing this variety of data since it can handle both structured and unstructured data (and is optimized for the Spark and Hadoop analytics engines). The service can ingest any kind of data — yet Microsoft still promises that it will be very fast. “The world of analytics tended to be defined by having to decide upfront and then building rigid structures around it to get the performance you wanted,” explained White. Data Lake Storage, on the other hand, wants to offer the best of both worlds.
Likewise, White argued that while many enterprises used to keep these services on their on-premises servers, many of them are still appliance-based. But she believes the cloud has now reached the point where the price/performance calculations are in its favor. It took a while to get to this point, though, and to convince enterprises. White noted that for the longest time, enterprises that looked at their analytics projects thought $300 million projects took forever, tied up lots of people and were frankly a bit scary. “But also, what we had to offer in the cloud hasn’t been amazing until some of the recent work,” she said. “We’ve been on a journey — as well as the other cloud vendors — and the price performance is now compelling.” And it sure helps that if enterprises want to meet their AI goals, they’ll now have to tackle these workloads, too.
Powered by WPeMatico
Google’s still not sharing cloud revenue
Google has shared its cloud revenue exactly once over the last several years. Silence tends to lead to speculation to fill the information vacuum. Luckily there are some analyst firms who try to fill the void, and it looks like Google’s cloud business is actually trending in the right direction, even if they aren’t willing to tell us an exact number.
When Google last reported its cloud revenue, last year about this time, they indicated they had earned $1 billion in revenue for the quarter, which included Google Cloud Platform and G Suite combined. Diane Greene, who was head of Google Cloud at the time, called it an “elite business.” but in reality it was pretty small potatoes compared to Microsoft’s and Amazon’s cloud numbers, which were pulling in $4-$5 billion a quarter between them at the time. Google was looking at a $4 billion run rate for the entire year.
Google apparently didn’t like the reaction it got from that disclosure so it stopped talking about cloud revenue. Yesterday when Google’s parent company, Alphabet, issued its quarterly earnings report, to nobody’s surprise, it failed to report cloud revenue yet again, at least not directly.
Google CEO Sundar Pichai gave some hints, but never revealed an exact number. Instead he talked in vague terms calling Google Cloud “a fast-growing multibillion-dollar business.” The only time he came close to talking about actual revenue was when he said, “Last year, we more than doubled both the number of Google Cloud Platform deals over $1 million as well as the number of multiyear contracts signed. We also ended the year with another milestone, passing 5 million paying customers for our cloud collaboration and productivity solution, G Suite.”
OK, it’s not an actual dollar figure, but it’s a sense that the company is actually moving the needle in the cloud business. A bit later in the call, CFO Ruth Porat threw in this cloud revenue nugget. “We are also seeing a really nice uptick in the number of deals that are greater than $100 million and really pleased with the success and penetration there. At this point, not updating further.” She is not updating further. Got it.
That brings us to a company that guessed for us, Canalys. While the firm didn’t share its methodology, it did come up with a figure of $2.2 billion for the quarter. Given that the company is closing larger deals and was at a billion last year, this figure feels like it’s probably in the right ballpark, but of course it’s not from the horse’s mouth, so we can’t know for certain. It’s worth noting that Canalys told TechCrunch that this is for GCP revenue only, and does not include G Suite, so that would suggest that it could be gaining some momentum.
Frankly, I’m a little baffled why Alphabet’s shareholders actually let the company get away with this complete lack of transparency. It seems like people would want to know exactly what they are making on that crucial part of the business, wouldn’t you? As a cloud market watcher, I know I would, and if the company is truly beginning to pick up steam, as Canalys data suggests, the lack of openness is even more surprising. Maybe next quarter.
Powered by WPeMatico
BetterCloud can now manage any SaaS application
BetterCloud began life as a way to provide an operations layer for G Suite. More recently, after a platform overhaul, it began layering on a handful of other SaaS applications. Today, the company announced, it is now possible to add any SaaS application to its operations dashboard and monitor usage across applications via an API.
As founder and CEO David Politis explains, a tool like Okta provides a way to authenticate your SaaS app, but once an employee starts using it, BetterCloud gives you visibility into how it’s being used.
“The first order problem was identity, the access, the connections. What we’re doing is we’re solving the second order problem, which is the interactions,” Politis explained. In his view, companies lack the ability to monitor and understand the interactions going on across SaaS applications, as people interact and share information, inside and outside the organization. BetterCloud has been designed to give IT control and security over what is occurring in their environment, he explained.
He says they can provide as much or as little control as a company needs, and they can set controls by application or across a number of applications without actually changing the user’s experience. They do this through a scripting library. BetterCloud comes with a number of scripts and provides log access to give visibility into the scripting activity.
If a customer is looking to use this data more effectively, the solution includes a Graph API for ingesting data and seeing the connections across the data that BetterCloud is collecting. Customers can also set event triggers or actions based on the data being collected as certain conditions are met.
All of this is possible because the company overhauled the platform last year to allow BetterCloud to move beyond G Suite and plug other SaaS applications into it. Today’s announcement is the ultimate manifestation of that capability. Instead of BetterCloud building the connectors, it’s providing an API to let its customers do it.
The company was founded in 2011 and has raised more than $106 million, according to Crunchbase.
Powered by WPeMatico