AWS

Auto Added by WPeMatico

AWS announces a slew of new Lambda features

AWS launched Lambda in 2015 and with it helped popularize serverless computing. You simply write code (event triggers) and AWS deals with whatever compute, memory and storage you need to make that work. Today at AWS re:Invent in Las Vegas, the company announced several new features to make it more developer friendly, while acknowledging that even while serverless reduced complexity, it still requires more sophisticated tools as it matures.

It’s called serverless because you don’t have to worry about the underlying servers. The cloud vendors take care of all that for you, serving whatever resources you need to run your event and no more. It means you no longer have to worry about coding for all your infrastructure and you only pay for the computing you need at any given moment to make the application work.

The way AWS works is that it tends to release something, then builds more functionality on top of a base service as it sees increasing requirements as customers use it. As Amazon CTO Werner Vogels pointed out in his keynote on Thursday, developers debate about tools and everyone has their own idea of what tools they bring to the task every day.

For starters, they decided to please the language folks introducing support for new languages. Those developers who use Ruby can now use Ruby Support for AWS Lambda. “Now it’s possible to write Lambda functions as idiomatic Ruby code, and run them on AWS. The AWS SDK for Ruby is included in the Lambda execution environment by default,” Chris Munns from AWS wrote in a blog post introducing the new language support.

If C++ is your thing, AWS announced C++ Lambda Runtime. If neither of those match your programming language tastes, AWS opened it up for just about any language with the new Lambda Runtime API, which Danilo Poccia from AWS described in a blog post as “a simple interface to use any programming language, or a specific language version, for developing your functions.”

AWS didn’t want to stop with languages though. They also recognize that even though Lambda (and serverless in general) is designed to remove a level of complexity for developers, that doesn’t mean that all serverless applications consist of simple event triggers. As developers build more sophisticated serverless apps, they have to bring in system components and compose multiple pieces together, as Vogels explained in his keynote today.

To address this requirement, the company introduced Lambda Layers, which they describe as “a way to centrally manage code and data that is shared across multiple functions.” This could be custom code used by multiple functions or a way to share code used to simplify business logic.

As Lambda matures, developer requirements growl; these announcements and others are part of trying to meet those needs.

more AWS re:Invent 2018 coverage

Powered by WPeMatico

AWS is bringing the cloud on prem with Outposts

AWS has always been the pure cloud vendor, and even though it has given a nod to hybrid, it is now fully embracing it. Today in conjunction with VMware, it announced a pair of options to bring AWS into the data center.

Yes, you read it correctly. You can now put AWS into your data center with AWS hardware, the same design they use in their own data centers. The two new products are part of AWS Outposts.

There are two Outposts variations — VMware Cloud on AWS Outposts and AWS Outposts. The first uses the VMware control panel. The second allows customers to run compute and storage on premises using the same AWS APIs that are used in the AWS cloud.

In fact, VMware CEO Pat  Gelsinger joined AWS CEO Andy Jassy onstage at AWS re:Invent for a joint announcement. The two companies have been working together for some time to bring VMware to the AWS cloud. Part of this announcement flips that on its head, bringing the AWS cloud on prem to work with VMware. In both cases, AWS sells you their hardware, installs it if you wish, and will even maintain it for you.

This is an area that AWS has lagged, preferring the vision of a cloud, rather than moving back to the data center, but it’s a tacit acknowledgment that customers want to operate in both places for the foreseeable future.

The announcement also extends the company’s cloud-native-like vision. On Monday, the company announced Transit Gateways, which is designed to provide a single way to manage network resources, whether they live in the cloud or on prem.

Now AWS is bringing its cloud on prem, something that Microsoft, Canonical, Oracle and others have had for some time. It’s worth noting that today’s announcement is a public preview. The actual release is expected in the second half of next year.

more AWS re:Invent 2018 coverage

Powered by WPeMatico

Amazon Textract brings intelligence to OCR

One of the challenges just about every business faces is converting forms to a useful digital format. This has typically involved using human data entry clerks to enter the data into the computer. State of the art involved using OCR to read forms automatically, but AWS CEO Andy Jassy explained that OCR is basically just a dumb text reader. It doesn’t recognize text types. Amazon wanted to change that and today it announced Amazon Textract, an intelligent OCR tool to move data from forms to a more useable digital format.

In an example, he showed a form with tables. Regular OCR didn’t recognize the table and interpreted it as a string of text. Textract is designed to recognize common page elements like a table and pull the data in a sensible way.

Jassy said that forms also often change, and if you are using a template as a workaround for OCR’s lack of intelligence, the template breaks if you move anything. To fix that, Textract is smart enough to understand common data types like Social Security numbers, dates of birth and addresses, and interprets them correctly no matter where they fall on the page.

“We have taught Textract to recognize this set of characters is a date of birth and this is a Social Security number. If forms change, Textract won’t miss it,” Jassy explained.

more AWS re:Invent 2018 coverage

Powered by WPeMatico

AWS announces new Inferentia machine learning chip

AWS is not content to cede any part of any market to any company. When it comes to machine learning chips, names like Nvidia or Google come to mind, but today at AWS re:Invent in Las Vegas, the company announced a new dedicated machine learning chip of its own called Inferentia.

“Inferentia will be a very high-throughput, low-latency, sustained-performance very cost-effective processor,” AWS CEO Andy Jassy explained during the announcement.

Holger Mueller, an analyst with Constellation Research, says that while Amazon is far behind, this is a good step for them as companies try to differentiate their machine learning approaches in the future.

“The speed and cost of running machine learning operations — ideally in deep learning — are a competitive differentiator for enterprises. Speed advantages will make or break success of enterprises (and nations when you think of warfare). That speed can only be achieved with custom hardware, and Inferentia is AWS’s first step to get in to this game,” Mueller told TechCrunch. As he pointed out, Google has a 2-3 year head start with its TPU infrastructure.

Inferentia supports popular frameworks like INT8, FP16 and mixed precision. What’s more, it supports multiple machine learning frameworks, including TensorFlow, Caffe2 and ONNX.

Of course, being an Amazon product, it also supports data from popular AWS products such as EC2, SageMaker and the new Elastic Inference Engine announced today.

While the chip was announced today, AWS CEO Andy Jassy indicated it won’t actually be available until next year.

more AWS re:Invent 2018 coverage

Powered by WPeMatico

AWS launches new time series database

AWS announced a new time series database today at AWS re:Invent in Las Vegas. The new product called DynamoDB On-Demand is a fully managed database designed to track items over time, which can be particularly useful for Internet of Things scenarios.

“With time series data each data point consists of a timestamp and one or more attributes and it really measures how things change over time and helps drive real time decisions,” AWS CEO Andy Jassy explained.

He sees a problem though with existing open source and commercial solutions, which says don’t scale well and hard to manage. This is of course a problem that a cloud service like AWS often helps solve.

Not surprising as customers were looking for a good time series database solution, AWS decided to create one themselves. “Today we are introducing Amazon DynamoDB on-demand, a flexible new billing option for DynamoDB capable of serving thousands of requests per second without capacity planning,” Danilo Poccia from AWS wrote in the blog post introducing the new service.

Jassy said that they built DynamoDB on-demand from the ground up with an architecture that organizes data by time intervals and enables time series specific data compression, which leads to less scanning and faster performance.

He claims it will be a thousand times faster at a tenth of cost, and of course it scales up and down as required and includes all of the analytics capabilities you need to understand all of the data you are tracking.

This new service is available across the world starting today.

more AWS re:Invent 2018 coverage

Powered by WPeMatico

AWS tries to lure Windows users with Amazon FSx for Windows File Server

Amazon has had storage options for Linux file servers for some time, but it recognizes that a number of companies still use Windows file servers, and they are not content to cede that market to Microsoft. Today the company announced Amazon FSx for Windows File Server to provide a fully compatible Windows option.

“You get a native Windows file system backed by fully-managed Windows file servers, accessible via the widely adopted SMB (Server Message Block) protocol. Built on SSD storage, Amazon FSx for Windows File Server delivers the throughput, IOPS, and consistent sub-millisecond performance that you (and your Windows applications) expect,” AWS’s Jeff Barr wrote in a blog post introducing the new feature.

That means if you use this service, you have a first-class Windows system with all of the compatibility with Windows services that you would expect, such as Active Directory and Windows Explorer.

AWS CEO Andy Jassy introduced the new feature today at AWS re:Invent, the company’s customer conference going on in Las Vegas this week. He said that even though Windows File Server usage is diminishing as more IT pros turn to Linux, there are still a fair number of customers who want a Windows-compatible system and they wanted to provide a service for them to move their Windows files to the cloud.

Of course, it doesn’t hurt that it provides a path for Microsoft customers to use AWS instead of turning to Azure for these workloads. Companies undertaking a multi-cloud strategy should like having a fully compatible option.

more AWS re:Invent 2018 coverage

Powered by WPeMatico

AWS launches a base station for satellites as a service

Today at AWS re:Invent in Las Vegas, AWS announced a new service for satellite providers with the launch of AWS Ground Station, the first fully managed ground station as a service.

With this new service, AWS will provide ground antennas through their existing network of worldwide availability zones, as well as data processing services to simplify the entire data retrieval and processing process for satellite companies, or for others who consume the satellite data.

Satellite operators need to get data down from the satellite, process it and then make it available for developers to use in applications. In that regard, it’s not that much different from any IoT device. It just so happens that these are flying around in space.

AWS CEO Andy Jassy pointed out that they hadn’t really considered a service like this until they had customers asking for it. “Customers said that we have so much data in space with so many applications that want to use that data. Why don’t you make it easier,” Jassy said. He said they thought about that and figured they could put their vast worldwide network to bear on the problem.

Prior to this service, companies had to build these base stations themselves to get the data down from the satellites as they passed over the base stations on earth wherever those base stations happened to be. It required that providers buy land and build the hardware, then deal with the data themselves. By offering this as a managed service, it greatly simplifies every aspect of the workflow.

Holger Mueller, an analyst at Constellation Research, says the service will help put the satellite data into the hands of developers faster. “To rule real-world application use cases you need to make maps and real-time spatial data available in an easy-to-consume, real-time and affordable way,” Mueller told TechCrunch. This is precisely the type of data you can get from satellites.

The value proposition of any cloud service has always been about reducing the resource allocation required by a company to achieve a goal. With AWS Ground Station, AWS handles every aspect of the satellite data retrieval and processing operation for the company, greatly reducing the cost and complexity associated with it.

AWS claims it can save up to 80 percent by using an on-demand model over ownership. They are starting with two ground stations today as they launch the service, but plan to expand it to 12 by the middle of next year.

Customers and partners involved in the Ground Station preview included Lockheed Martin, Open Cosmos, HawkEye360 and DigitalGlobe, among others.

more AWS re:Invent 2018 coverage

Powered by WPeMatico

Zendesk shifts to platform play with Zendesk Sunshine launch

Zendesk has always been strongly focused on customer service in the cloud. They began to look at this more broadly in September when they purchased Base to move into sales automation and CRM. Today, the company announced Zendesk Sunshine, a new platform for creating customer-focused applications on top of Zendesk’s toolset.

All of this appears to be with an eye toward shifting Zendesk from its core customer service mission to a broader customer management business. Mikkel Svane, founder and CEO at Zendesk, says Sunshine is about moving his company toward a platform play, something that many cloud companies have aspired to. “Sunshine is a platform for building your own apps, and also for managing and storing and connecting all your customer data,” Svane told TechCrunch.

For starters, Zendesk is partnering with AWS to act as the infrastructure services backend for the applications built on the Sunshine platform. “You can build apps on top of Sunshine, typically customer experience or customer relationship apps, and it’s built natively on AWS, so that you have access to all the AWS services. And of course, all of the applications rely on the Sunshine platform for information sharing, etc,” he explained.

He says they deliberately chose the public cloud because they believe that is where developers want to operate today. “We believe that businesses and developers should take advantage of the public cloud paradigms and use frameworks such as Sunshine to build these applications,” he said.

Svane says for starters, this approach is aimed at helping Zendesk customers build applications to take advantage of the data they are collecting inside of Zendesk as a natural byproduct of doing work with the service, but over time independent developers could begin working on the platform too.

He sees today’s announcement as a first step toward expanding the company’s set of products and services, and it’s something they plan to build on in the coming years. “You’re going to see a lot more on our roadmap over the next couple of years to truly embrace our platform mission and our ultimate goal is to be a ubiquitous CRM platform where anyone who wants to can build any kind of customer-facing application, and really benefit from the public cloud and from the Sunshine framework and have data flow seamlessly between services, vendors and applications,” he said.

We saw customer experience take center stage this week when SAP bought Qualtrics for $8 billion. The customer has clearly become increasingly important and Zendesk has access to a lot of customer data, which developers can take advantage of to build customized customer-centric applications. The only thing that’s truly surprising about this announcement is that Zendesk didn’t make a platform play sooner.

But perhaps as a more mature vendor, and with Base in the fold, they feel they are more prepared to make this type of move now than they were in the past. Whatever the reason, every enterprise cloud company worth its salt has tried to be a developer platform, and with today’s announcement, it’s Zendesk’s turn.

Powered by WPeMatico

The hybrid cloud market just got a heck of a lot more compelling

Let’s start with a basic premise that the vast majority of the world’s workloads remain in private data centers. Cloud infrastructure vendors are working hard to shift those workloads, but technology always moves a lot slower than we think. That is the lens through which many cloud companies operate.

The idea that you operate both on prem and in the cloud with multiple vendors is the whole idea behind the notion of the hybrid cloud. It’s where companies like Microsoft, IBM, Dell and Oracle are placing their bets. These died-in-the-wool enterprise companies see their large customers making a slower slog to the cloud than you would imagine, and they want to provide them with the tools and technologies to manage across both worlds, while helping them shift when they are ready.

Cloud-native computing developed in part to provide a single management fabric across on prem and cloud, freeing IT from having two sets of tools and trying somehow to bridge the gap between the two worlds.

What every cloud vendor wants

Red Hat — you know, that company that was sold to IBM for $34 billion this week — has operated in this world. While most people think of the company as the one responsible for bringing Linux to the enterprise, over the last several years, it has been helping customers manage this transition and build applications that could live partly on prem and partly in the cloud.

As an example, it has built OpenShift, its version of Kubernetes. As CEO Jim Whitehurst told me last year, “Our hottest product is OpenShift. People talk about containers and they forget it’s a feature of Linux,” he said. That is an operating system that Red Hat knows a thing or two about.

With Red Hat in the fold, IBM can contend that being open source; they can build modern applications on top of open source tools and run them on IBM’s cloud or any of their competitors, a real hybrid approach.

Microsoft has a huge advantage here, of course, because it has a massive presence in the enterprise already. Many companies out there could be described as Microsoft shops, and for those companies moving from on prem Microsoft to cloud Microsoft represents a less daunting challenge than starting from scratch.

Oracle brings similar value with its core database products. Companies using Oracle databases — just about everyone — might find it easier to move that valuable data to Oracle’s cloud, although the numbers don’t suggest that’s necessarily happening (and Oracle has stopped breaking out its cloud revenue).

Dell, which spent $67 billion for EMC, making the Red Hat purchase pale by comparison, has been trying to pull together a hybrid solution by combining VMware, Pivotal and Dell/EMC hardware.

Cloud vendors reporting

You could argue that hybrid is a temporary state, that at some point, the vast majority of workloads will eventually be running in the cloud and the hybrid business as we know it today will continually shrink over time. We are certainly seeing cloud infrastructure revenue skyrocketing with no signs of slowing down as more workloads move to the cloud.

In their latest earnings reports, those who break out such things, the successful ones, reported growth in their cloud business. It’s important to note that these companies define cloud revenue in different ways, but you can see the trend is definitely up:

  • AWS reported revenue of $6.7 billion in revenue for the quarter, up from $4.58 billion the previous year.
  • Microsoft Intelligent Cloud, which incorporates things like Azure and server products and enterprise services, was at $8.6 billion, up from $6.9 billion.
  • IBM Technology Services and Cloud Platforms, which includes infrastructure services, technical support services and integration software reported revenue of $8.6 billion, up from $8.5 billion the previous year.
  • Others like Oracle and Google didn’t break out their cloud revenue.

Show me the money

All of this is to say, there is a lot of money on the table here and companies are moving more workloads at an increasingly rapid pace.  You might also have noticed that IBM’s growth is flat compared to the others. Yesterday in a call with analysts and press, IBM CEO Ginni Rometty projected that revenue for the hybrid cloud (however you define that) could reach $1 trillion by 2020. Whether that number is exaggerated or not, there is clearly a significant amount of business here, and IBM might see it as a way out of its revenue problems, especially if they can leverage consulting/services along with it.

There is probably so much business that there is room for more than one winner, but if you asked before Sunday if IBM had a shot in this mix against its formidable competitors, especially those born in the cloud like AWS and Google, most probably wouldn’t have given them much chance.

When Red Hat eventually joins forces with IBM, it at least gives their sales teams a compelling argument, one that could get them into the conversation — and that is probably why they were willing to spend so much money to get it. It puts them back in the game, and after years of struggling, that is something. And in the process, it has stirred up the hybrid cloud market in a way we didn’t see coming last week before this deal.

Powered by WPeMatico

Building a great startup requires more than genius and a great invention

Many entrepreneurs assume that an invention carries intrinsic value, but that assumption is a fallacy.

Here, the examples of the 19th and 20th century inventors Thomas Edison and Nikola Tesla are instructive. Even as aspiring entrepreneurs and inventors lionize Edison for his myriad inventions and business acumen, they conveniently fail to recognize Tesla, despite having far greater contributions to how we generate, move and harness power. Edison is the exception, with the legendary penniless Tesla as the norm.

Universities are the epicenter of pure innovation research. But the reality is that academic research is supported by tax dollars. The zero-sum game of attracting government funding is mastered by selling two concepts: Technical merit, and broader impact toward benefiting society as a whole. These concepts are usually at odds with building a company, which succeeds only by generating and maintaining competitive advantage through barriers to entry.

In rare cases, the transition from intellectual merit to barrier to entry is successful. In most cases, the technology, though cool, doesn’t give a fledgling company the competitive advantage it needs to exist among incumbents and inevitable copycats. Academics, having emphasized technical merit and broader impact to attract support for their research, often fail to solve for competitive advantage, thereby creating great technology in search of a business application.

Of course there are exceptions: Time and time again, whether it’s driven by hype or perceived existential threat, big incumbents will be quick to buy companies purely for technology. Cruise/GM (autonomous cars), DeepMind/Google (AI) and Nervana/Intel (AI chips). But as we move from 0-1 to 1-N in a given field, success is determined by winning talent over winning technology. Technology becomes less interesting; the onus is on the startup to build a real business.

If a startup chooses to take venture capital, it not only needs to build a real business, but one that will be valued in the billions. The question becomes how a startup can create a durable, attractive business, with a transient, short-lived technological advantage.

Most investors understand this stark reality. Unfortunately, while dabbling in technologies which appeared like magic to them during the cleantech boom, many investors were lured back into the innovation fallacy, believing that pure technological advancement would equal value creation. Many of them re-learned this lesson the hard way. As frontier technologies are attracting broader attention, I believe many are falling back into the innovation trap.

So what should aspiring frontier inventors solve for as they seek to invest capital to translate pure discovery to building billion-dollar companies? How can the technology be cast into an unfair advantage that will yield big margins and growth that underpin billion-dollar businesses?

Talent productivity: In this age of automation, human talent is scarce, and there is incredible value attributed to retaining and maximizing human creativity. Leading companies seek to gain an advantage by attracting the very best talent. If your technology can help you make more scarce talent more productive, or help your customers become more productive, then you are creating an unfair advantage internally, while establishing yourself as the de facto product for your customers.

Great companies such as Tesla and Google have built tools for their own scarce talent, and build products their customers, in their own ways, can’t do without. Microsoft mastered this with its Office products in the 1990s through innovation and acquisition, Autodesk with its creativity tools, and Amazon with its AWS Suite. Supercharging talent yields one of the most valuable sources of competitive advantage: switchover cost.  When teams are empowered with tools they love, they will loathe the notion of migrating to shiny new objects, and stick to what helps them achieve their maximum potential.

Marketing and distribution efficiency: Companies are worth the markets they serve. They are valued for their audience and reach. Even if their products in of themselves don’t unlock the entire value of the market they serve, they will be valued for their potential to, at some point in the future, be able to sell to the customers that have been tee’d up with their brands. AOL leveraged cheap CD-ROMs and the postal system to get families online, and on email.

Dollar Shave Club leveraged social media and an otherwise abandoned demographic to lock down a sales channel that was ultimately valued at a billion dollars. The inventions in these examples were in how efficiently these companies built and accessed markets, which ultimately made them incredibly valuable.

Network effects: Its power has ultimately led to its abuse in startup fundraising pitches. LinkedIn, Facebook, Twitter and Instagram generate their network effects through internet and Mobile. Most marketplace companies need to undergo the arduous, expensive process of attracting vendors and customers. Uber identified macro trends (e.g. urban living) and leveraged technology (GPS in cheap smartphones) to yield massive growth in building up supply (drivers) and demand (riders).

Our portfolio company Zoox will benefit from every car benefiting from edge cases every vehicle encounters: akin to the driving population immediately learning from special situations any individual driver encounters. Startups should think about how their inventions can enable network effects where none existed, so that they are able to achieve massive scale and barriers by the time competitors inevitably get access to the same technology.

Offering an end-to-end solution: There isn’t intrinsic value in a piece of technology; it’s offering a complete solution that delivers on an unmet need deep-pocketed customers are begging for. Does your invention, when coupled to a few other products, yield a solution that’s worth far more than the sum of its parts? For example, are you selling a chip, along with design environments, sample neural network frameworks and data sets, that will empower your customers to deliver magical products? Or, in contrast, does it make more sense to offer standard chips, licensing software or tag data?

If the answer is to offer components of the solution, then prepare to enter a commodity, margin-eroding, race-to-the-bottom business. The former, “vertical” approach is characteristic of more nascent technologies, such as operating robots-taxis, quantum computing and launching small payloads into space. As the technology matures and becomes more modular, vendors can sell standard components into standard supply chains, but face the pressure of commoditization.

A simple example is personal computers, where Intel and Microsoft attracted outsized margins while other vendors of disk drives, motherboards, printers and memory faced crushing downward pricing pressure. As technology matures, the earlier vertical players must differentiate with their brands, reach to customers and differentiated product, while leveraging what’s likely going to be an endless number of vendors providing technology into their supply chains.

A magical new technology does not go far beyond the resumes of the founding team.

What gets me excited is how the team will leverage the innovation, and attract more amazing people to establish a dominant position in a market that doesn’t yet exist. Is this team and technology the kernel of a virtuous cycle that will punch above its weight to attract more money, more talent and be recognized for more than it’s product?

Powered by WPeMatico