Microsoft makes a push for service mesh interoperability

Posted by on 21 May, 2019

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Services meshes. They are the hot new thing in the cloud native computing world. At Kubecon, the bi-annual festival of all things cloud native, Microsoft today announced that it is teaming up with a number of companies in this space to create a generic service mesh interface. This will make it easier for developers to adopt the concept without locking them into a specific technology.

In a world where the number of network endpoints continues to increase as developers launch new micro-services, containers and other systems at a rapid clip, they are making the network smarter again by handling encryption, traffic management and other functions so that the actual applications don’t have to worry about that. With a number of competing service mesh technologies, though, including the likes of Istio and Linkerd, developers currently have to chose which one of these to support.

“I’m really thrilled to see that we were able to pull together a pretty broad consortium of folks from across the industry to help us drive some interoperability in the service mesh space,” Gabe Monroy, Microsoft’s lead product manager for containers and the former CTO of Deis, told me. “This is obviously hot technology — and for good reasons. The cloud-native ecosystem is driving the need for smarter networks and smarter pipes and service mesh technology provides answers.”

The partners here include Buoyant, HashiCorp, Solo.io, Red Hat, AspenMesh, Weaveworks, Docker, Rancher, Pivotal, Kinvolk and VMWare. That’s a pretty broad coalition, though it notably doesn’t include cloud heavyweights like Google, the company behind Istio, and AWS.

“In a rapidly evolving ecosystem, having a set of common standards is critical to preserving the best possible end-user experience,” said Idit Levine, founder and CEO of Solo.io. “This was the vision behind SuperGloo – to create an abstraction layer for consistency across different meshes, which led us to the release of Service Mesh Hub last week. We are excited to see service mesh adoption evolve into an industry level initiative with the SMI specification.”

For the time being, the interoperability features focus on traffic policy, telemetry and traffic management. Monroy argues that these are the most pressing problems right now. He also stressed that this common interface still allows the different service mesh tools to innovate and that developers can always work directly with their APIs when needed. He also stressed that the Service Mesh Interface (SMI), as this new specification is called, does not provide any of its own implementations of these features. It only defines a common set of APIs.

Currently, the most well-known service mesh is probably Istio, which Google, IBM and Lyft launched about two years ago. SMI may just bring a bit more competition to this market since it will allow developers to bet on the overall idea of a service mesh instead of a specific implementation.

In addition to SMI, Microsoft also today announced a couple of other updates around its cloud-native and Kubernetes services. It announced the first alpha of the Helm 3 package manager, for example, as well as the 1.0 release of its Kubernetes extension for Visual Studio Code and the general availability of its AKS virtual nodes, using the open source Virtual Kubelet project.

 

Posted Under: Tech News
FlareAgent, a platform that automates real estate transactions, launches out of YC

Posted by on 21 May, 2019

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The real estate industry is experiencing a bit of a rejuvenation. After years resisting the influence of tech, the industry is now feeling the entrance of e-buyers, as well as a variety of software to streamline the process. One such tech company looking to infiltrate real estate is FlareAgent, which launches today out of Y Combinator.

FlareAgent was founded by Abhi CVK and Rashid Aziz. The duo, who just graduated out of NYU, first built FlareAgent when Rashid’s dad, a real estate agent, was asked by his boss (Mr. Brown) about finding software that might speed up the process of completing a transaction.

Abhi and Rashid built something that ended up helping grow the real estate firm from 20 deals per month to over 100 deals/month. How?

FlareAgent lets all parties collaborate on a transaction from the comfort of their own home or office. From purchase offers to escrow documents to the closing agreement, FlareAgent allows brokers and clients to view and interact with various documents to speed up the time to close.

This used to be done manually by brokers, who’d have to fax or mail or hand-deliver documents to and from various parties in the transaction. If changes take place to the paperwork, this process may start over from scratch.

With FlareAgent, all the time spent changing and sharing documents manually can be done online.

To be clear, a transaction doesn’t actually go through FlareAgent. In other words, the money changing hands from buyer to seller doesn’t flow through the FlareAgent platform. But all the documents that need to be reviewed, amended, and signed can be handled on FlareAgent.

To make money, the company charges a monthly subscription to brokers using the platform.

Thus far, FlareAgent says it has around 100 active agents on the platform and has processed more than 2,500 transactions (worth $550 million in property value) since its inception.

Posted Under: Tech News
Atlassian puts its Data Center products into containers

Posted by on 21 May, 2019

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It’s KubeCon + CloudNativeCon this week and in the slew of announcements, one name stood out: Atlassian . The company is best known as the maker of tools that allow developers to work more efficiently and now as a cloud infrastructure provider. In this age of containerization, though, even Atlassian can bask in the glory that is Kubernetes because the company today announced that it is launching Atlassian Software in Kubernetes (AKS), a new solution that allows enterprises to run and manage its on-premise applications like Jira Data Center as containers and with the help of Kubernetes.

To build this solution, Atlassian partnered with Praqma, a Continuous Delivery and DevOps consultancy. It’s also making AKS available as open source.

As the company admits in today’s announcement, running a Data Center application and ensuring high availability can be a lot of work using today’s methods. With AKS and by containerizing the applications, scaling and management should become easier — and downtime more avoidable.

“Availability is key with ASK. Automation keeps mission-critical applications running whatever happens,” the company explains. “If a Jira server fails, Data Center will automatically redirect traffic to healthy servers. If an application or server crashes Kubernetes automatically reconciles by bringing up a new application. There’s also zero downtime upgrades for Jira.”

AKS handles the scaling and most admin tasks, in addition to offering a monitoring solution based on the open-source Grafana and Prometheus projects.

Containers are slowly becoming the distribution medium of choice for a number of vendors. As enterprises move their existing applications to containers, it makes sense for them to also expect that they can manage their existing on-premises applications from third-party vendors in the same systems. For some vendors, that may mean a shift away from pre-server licensing to per-seat licensing, so there are business implications to this, but in general, it’s a logical move for most.

Posted Under: Tech News
IDC: Asia-Pacific spending on AI systems will reach $5.5 billion this year, up 80 percent from 2018

Posted by on 21 May, 2019

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Spending on artificial intelligence systems in the Asia-Pacific region is expected to reach $5.5 billion this year, an almost 80 percent increase over 2018, driven by businesses in China and the retail industry, according to IDC. In a new report, the research firm also said it expects AI spending to climb at a compound annual growth rate of 50 percent from 2018 to 2022, reaching a total of $15.06 billion in 2022.

This means AI spending growth in the Asia-Pacific region is expected to outpace the rest of the world over the next three years. In March, IDC forecast that worldwide spending on AI systems is expected to grow at a CAGR of 38 percent between 2018 to 2022.

Most of the growth will happen in China, which IDC says will account for nearly two-thirds of AI spending in the region, excluding Japan, in all forecast years. Spending on AI systems will be driven by retail, professional services and government industries.

Retail demand for AI-based tools will also lead growth in the rest of the region, as companies begin to rely on it more for merchandising, product recommendations, automated customer service and supply and logistics. While the banking industry’s AI spending trails behind retail, it will also begin adopting the tech for fraud analysis, program advisors, recommendations and customer service. IDC forecasts that this year, companies will invest almost $700 million in automated service agents. The next largest area for investment is sales process recommendations and automation, with $450 million expected, and intelligent process automation at more than $350 million.

The fastest-growing industries for AI spending are expected to be healthcare (growing at 60.2 percent CAGR) and process manufacturing (60.1 percent CAGR). In terms of infrastructure, IDC says spending on hardware, including servers and storage, will reach almost $7 billion in 2019, while spending on software is expected to grow at a five-year CAGR of 80 percent.

Posted Under: Tech News
Robin picks up $20 million Series B to optimize the office

Posted by on 20 May, 2019

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Robin Powered, a startup looking to help offices run better, has today announced the close of a $20 million Series B funding. The round was led by Tola Capital, with existing investors Accomplice and FirstMark participating in the round, along with a new strategic Allegion Ventures.

Robin started as part of an agency called One Mighty Roar, where Robin Powered cofounder Sam Dunn and his two cofounders built out RFID and beacon tech for clients’ live events. In 2014, they spun out the tech as Robin and tweaked the focus on the modern office.

The office stands to be one of the least efficient pieces of any business. As a company grows, or even if it doesn’t, it’s particularly difficult to understand the ‘inventory’ of the office and how it is used by workers throughout the day.

“Before, if I asked you what you needed out of your next office, you might go around and survey employees or hire an architecture firm,” said Dunn. “I heard a story where a manager sent around an intern every Thursday at 3pm to talk to employees about the office, and that was one of two pieces of information handed over to the architecture firm. At the end of the day, it’s hard to know if there’s a shortage of meeting rooms, or teleconference-enabled rooms, or collaborative workspaces.”

That’s where Robin comes in. Robin hooks into Google Calendar and Outlook to help employees get a sense of what meeting rooms and activity spaces are available in the office, complete with tablet signage out front. Meetings are the starting point for Robin, but the company can also offer tools for seating charts and office maps, as well as insights. The company wants to offer insights about how the space in this or that office is being used — what they lack and what they have too much of.

Robin charges its clients per room ($300) and per desk ($24 – $60). The hope is to build out the same technological backbone for clients’ offices as WeWork provides alongside its physical space, giving every business the opportunity to optimize one of their biggest investments: the office itself.

Robin has raised a total of $30 million.

Posted Under: Tech News
Wagestream closes $51M Series A to plug the payday gap without putting workers in debt

Posted by on 20 May, 2019

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Getting your work wages on a monthly (not weekly nor biweekly) basis has become a more widespread trend as the price of running payrolls has gone up, and organizations’ cashflow has gone down. That 30-day shift may be a boost to employers, but not employees, who may need access to those wages more immediately and find it a challenge to stretch out their income month to month.

Now, a startup based out of London has raised a large round of funding for service that’s aiming to plug that gap. Wagestream — which works with employers to let employees draw down a percentage of their income in the month for a small, flat fee — today said that it has closed a Series A round of £40 million ($51 million).

The funding is coming in the form of equity and debt, with Balderton and Northzone leading on the equity side, which makes up £15 million of the raise, and savings bank Shawbrook investing £25 million on the debt side to finance employee draw-downs. Other investors in the round include QED, the Rowntree Foundation, the London Co-investment Fund (LCIF) and Village Global, a social venture firm backed by Bill Gates and Jeff Bezos, among others.

The company is not disclosing its valuation but this brings the total raised to just under £45 million and “the valuation is definitely higher now”, according to CEO and co-founder Peter Briffett.

The list of investors is proving to be a useful one for Wagestream as it grows. I asked if Bezos’ company Amazon was working with Wagestream. Briffett confirmed it is not a customer currently, “but we are talking to them.” It does, however, have a number of other customers already signed up, including pest removal service Rentokil PLC, Camden Town Brewery, the Slug & Lettuce pub chain and Carluccio’s chain of eateries, along with the NHS and Hackney Council — covering some 120,000 workers in all.

Amazon is an indicative example of one of the big opportunities for the company, which today is active in the UK but aiming to expand across Europe and the rest of the world.

While it is one of the biggest employers in the tech world, where it might typically pay out six-figure salaries in senior management, operational and technical roles, it’s also building out its business by being one of the biggest employers also of hourly workers in its warehouses, wider logistics operations and similar areas. It’s employees like these who might be considered the first wave of employees that Wagestream is initially targeting, some of whom may be earning just enough or slightly more than enough to get by (at best), and face being victims of what Briffett referred to as the “payday poverty cycle.”

Getting paid monthly today accounts for some 85 percent of all paychecks in the UK today, and the proportion is similar in Europe and also getting increasingly common in the US, Briffett — who has also worked at Microsoft, LivingSocial (when it was still backed by Amazon, and where he started the UK operation and ran it as the CEO for years), and YPlan (acquired by Time Out) — said in an interview. You might ask: why don’t the workers just budget better? But it doesn’t always work out that way, especially the longer the gap is between paychecks, and if you, for example, have an unexpected expense to cover.

Because of that ubiquity, and the acuteness of the problem (if you’ve ever earned just about enough, or been a child in a family whose parents did, you may understand the predicament quite well ), Wagestream is not the first time that we’ve seen a financial services startup emerge to target that demographic.

Some other attempts have been scandalously disastrous, however: recall “Payday Loan” provider Wonga, backed by an illustrious set of investors but ultimately accused of, and hit hard by regulators and the public for, preying on people who were in need of funds with loans that were not transparent enough in their terms and led the borrowers into deep debt.

Wonga itself paid a big price for its practices, and the company is now bankrupt (and apparently still unable to replay creditors, as of the last report in March).

It was the disaster of Wonga — and an article in the WSJ about alternatives to payday loans — that Briffett said got him thinking about the possibilities and building Wagestream. (Ironic note: if you use PitchBook as I do, Wonga is listed among Wagestream’s backers, which Briffett assures me is an error.)

Wagestream positions itself as a “social impact” startup for targeting a very real problem that impacts financial inclusion for a proportion of the population, and it says this represents one of the highest rounds ever for a startup in the UK aimed at social impact.

“We fell in love with the strong product-market fit of Wagestream. We very rarely hear such universal positive feedback from all who have tried a product,” said Rob Moffat, a partner at Balderton, in a statement. “Companies used to take an active role in supporting the financial health of their users but this has slowly been eroded, to the extent where employees paid at the end of the month are effectively subsidising their employer for 29 days a month. Wagestream starts to restore the right balance.”

Wagestream operates by striking deals with employers to offer its services to its workers, who download an app and link up Wagestream with their salary and banking details. Businesses are able to set limits for what percentage of their wages employees can draw down each month, and how often the service can be used. Typically the limit is around 40 percent of a monthly wage, Briffett said.

Employees then can get the money instantly by paying a fee of £1.75 per withdrawal. “We are funding all of the withdrawals up front,” Briffett said. “We are the first company to marry workforce management and financial data.”

Down the road, the plan will be to expand to Europe as well as to the US, where there are already some other services that are trying to tackle the same problem, such as Instant Financial and DailyPay. There are also a number of areas the company could move into, such as working with companies that employ contract workers, and providing additional financial services to workers already using the app to draw down funds.

More expansion, Briffett said, will inevitably also mean more funding particularly on the debt side.

For now, the emergence of Wavestream is an encouraging sign of how VCs are not just interested in tapping their coffers to bet on tech companies that they think will be hits. They also want to hunt for those whose returns may well be strong, but ultimately are made stronger by the longer-term effect they might have on the wider landscape of consumers, how they interface with fintech, and continue their own progress in the world.

Posted Under: Tech News
Under the hood on Zoom’s IPO, with founder and CEO Eric Yuan

Posted by on 17 May, 2019

This post was originally published on this site

Extra Crunch offers members the opportunity to tune into conference calls led and moderated by the TechCrunch writers you read every day. This week, TechCrunch’s Kate Clark sat down with Eric Yuan, the founder and CEO of video communications startup Zoom, to go behind the curtain on the company’s recent IPO process and its path to the public markets.

Since hitting the trading desks just a few weeks ago, Zoom stock is up over 30%. But the Zoom’s path to becoming a Silicon Valley and Wall Street darling was anything but easy. Eric tells Kate how the company’s early focus on profitability, which is now helping drive the stock’s strong performance out of the gate, actually made it difficult to get VC money early on, and the company’s consistent focus on user experience led to organic growth across different customer bases.

Eric: I experienced the year 2000 dot com crash and the 2008 financial crisis, and it almost wiped out the company. I only got seed money from my friends, and also one or two VCs like AME Cloud Ventures and Qualcomm Ventures.

nd all other institutional VCs had no interest to invest in us. I was very paranoid and always thought “wow, we are not going to survive next week because we cannot raise the capital. And on the way, I thought we have to look into our own destiny. We wanted to be cash flow positive. We wanted to be profitable.

nd so by doing that, people thought I wasn’t as wise, because we’d probably be sacrificing growth, right? And a lot of other companies, they did very well and were not profitable because they focused on growth. And in the future they could be very, very profitable.

Eric and Kate also dive deeper into Zoom’s founding and Eric’s initial decision to leave WebEx to work on a better video communication solution. Eric also offers his take on what the future of video conferencing may look like in the next five to 10 years and gives advice to founders looking to build the next great company.

For access to the full transcription and the call audio, and for the opportunity to participate in future conference calls, become a member of Extra Crunch. Learn more and try it for free. 

Kate Clark: Well thanks for joining us Eric.

Eric Yuan: No problem, no problem.

Kate: Super excited to chat about Zoom’s historic IPO. Before we jump into questions, I’m just going to review some of the key events leading up to the IPO, just to give some context to any of the listeners on the call.

Posted Under: Tech News
HPE is buying Cray for $1.3 billion

Posted by on 17 May, 2019

This post was originally published on this site

HPE announced it was buying Cray for $1.3 billion, giving it access to the company’s high performance computing portfolio, and perhaps a foothold into quantum computing in the future.

The purchase price was $35 a share, a $5.19 premium over yesterday’s close of $29.81 a share. Cray was founded in the 1970s and for a time represented the cutting edge of super computing in the United States, but times have changed, and as the market has shifted, a deal like this makes sense.

Ray Wang, founder and principal analyst at Constellation Research says this is about consolidation at the high end of the market. “This is a smart acquisition for HPE. Cray has been losing money for some time but had a great portfolio of IP and patents that is key for the quantum era,” he told TechCrunch.

While HPE’s president and CEO Antonio Neri didn’t see it in those terms, he did see an opportunity in combining the two organizations. “By combining our world-class teams and technology, we will have the opportunity to drive the next generation of high performance computing and play an important part in advancing the way people live and work,” he said in a statement.

Cray CEO and president Peter Ungaro agreed. “We believe that the combination of Cray and HPE creates an industry leader in the fast-growing High-Performance Computing and AI markets and creates a number of opportunities that neither company would likely be able to capture on their own,” he wrote in a blog post announcing the deal.

While it’s not clear how this will work over time, this type of consolidation usually involves some job loss on the operations side of the house as the two companies become one. It is also unclear how this will affect Cray’s customers as it moves to become part of HPE but HPE has plans to create a high performance computing product family using its new assets.

HPE was formed when HP split into two companies in 2014. HP Inc. was the printer division, while HPE was the enterprise side.

The deal is subject to the typical regulatory oversight, but if all goes well, it is expected to close in HPE’s fiscal Q1 2020.

Posted Under: Tech News
Health[at]Scale lands $16M Series A to bring machine learning to healthcare

Posted by on 17 May, 2019

This post was originally published on this site

Health[at]Scale, a startup with founders who have both medical and engineering expertise, wants to bring machine learning to bear on healthcare treatment options to produce outcomes with better results and less aftercare. Today the company announced a $16 million Series A. Optum, which is part of the UnitedHealth Group, was the sole investor .

Today, when people looks at treatment options, they may look at a particular surgeon or hospital, or simply what the insurance company will cover, but they typically lack the data to make truly informed decisions. This is true across every part of the healthcare system, particularly in the U.S. The company believes using machine learning, it can produce better results.

“We are a machine learning shop, and we focus on what I would describe as precision delivery. So in other words, we look at this question of how do we match patients to the right treatments, by the right providers, at the right time,” Zeeshan Syed, Health at Scale CEO told TechCrunch.

The founders see the current system as fundamentally flawed, and while they see their customers as insurance companies, hospital systems and self-insured employers; they say the tools they are putting into the system should help everyone in the loop get a better outcome.

The idea is to make treatment decisions more data driven. While they aren’t sharing their data sources, they say they have information from patients with a given condition, to doctors who treat that condition, to facilities where the treatment happens. By looking at a patient’s individual treatment needs and medical history, they believe they can do a better job of matching that person to the best doctor and hospital for the job. They say this will result in the fewest post-operative treatment requirements, whether that involves trips to the emergency room or time in a skilled nursing facility, all of which would end up adding significant additional cost.

If you’re thinking this is strictly about cost savings for these large institutions, Mohammed Saeed, who is the company’s chief medical officer and has and MD from Harvard and a PhD in electrical engineering from MIT, insists that isn’t the case. “From our perspective, it’s a win-win situation since we provide the best recommendations that have the patient interest at heart, but from a payer or provider perspective, when you have lower complication rates you have better outcomes and you lower your total cost of care long term,” he said.

The company says the solution is being used by large hospital systems and insurer customers, although it couldn’t share any. The founders also said, it has studied the outcomes after using its software and the machine learning models have produced better outcomes, although it couldn’t provide the data to back that up at that point at this time.

The company was founded in 2015 and currently has 11 employees. It plans to use today’s funding to build out sales and marketing to bring the solution to a wider customer set.

Posted Under: Tech News
Unveiling its latest cohort, Alchemist announces $4 million in funding for its enterprise accelerator

Posted by on 16 May, 2019

This post was originally published on this site

The enterprise software and services-focused accelerator Alchemist has raised $4 million in fresh financing from investors BASF and the Qatar Development Bank, just in time for its latest demo day unveiling 20 new companies.

Qatar and BASF join previous investors, including the venture firms Mayfield, Khosla Ventures, Foundation Capital, DFJ and USVP, and corporate investors like Cisco, Siemens and Juniper Networks.

While the roster of successes from Alchemist’s fund isn’t as lengthy as Y Combinator, the accelerator program has launched the likes of the quantum computing upstart Rigetti, the soft-launch developer tool LaunchDarkly and drone startup Matternet .

Some (personal) highlights of the latest cohort include:

  • Bayware: Helmed by a former head of software-defined networking from Cisco, the company is pitching a tool that makes creating networks in multi-cloud environments as easy as copying and pasting.
  • MotorCortex.AI: Co-founded by a Stanford engineering professor and a Carnegie Mellon roboticist, the company is using computer vision, machine learning and robotics to create a fruit packer for packaging lines. Starting with avocados, the company is aiming to tackle the entire packaging side of pick and pack in logistics.
  • Resilio: With claims of a 96% effectiveness rate and $35,000 in annual recurring revenue with another $1 million in the pipeline, Resilio is already seeing companies embrace its mobile app that uses a phone’s camera to track stress levels and application-based prompts on how to lower it, according to Alchemist.
  • Operant Networks: It’s a long-held belief (of mine) that if computing networks are already irrevocably compromised, the best thing that companies and individuals can do is just encrypt the hell out of their data. Apparently Operant agrees with me. The company is claiming 50% time savings with this approach, and have booked $1.9 million in 2019 as proof, according to Alchemist.
  • HPC Hub: HPC Hub wants to democratize access to supercomputers by overlaying a virtualization layer and pre-installed software on underutilized super computers to give more companies and researchers easier access to machines… and they’ve booked $92,000 worth of annual recurring revenue.
  • DinoPlusAI: This chip developer is designing a low latency chip for artificial intelligence applications, reducing latency by 12 times over a competing Nvidia chip, according to the company. DinoPlusAI sees applications for its tech in things like real-time AI markets and autonomous driving. Its team is led by a designer from Cadence and Broadcom and the company already has $8 million in letters of intent signed, according to Alchemist.
  • Aero Systems West: Co-founders from the Air Force’s Research Labs and MIT are aiming to take humans out of drone operations and maintenance. The company contends that for every hour of flight time, drones require seven hours of maintenance and check ups. Aero Systems aims to reduce that by using remote analytics, self-inspection, autonomous deployment and automated maintenance to take humans out of the drone business.

Watch a live stream of Alchemist’s demo day pitches, starting at 3PM, here.

 

Posted Under: Tech News
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