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AWS re:Invent 2018: Keynote and Daily Recap – Thursday

While the weather in Vegas turned cold and rainy yesterday, the enthusiasm for the conference remained bright.

Summit Keynote

Werner Vogels, Amazon’s CTO, with the help of his Amazon Alexa, started the day off walking us through his journey from his worst day at AWS to his best.

His worst involved an on-prem database that couldn’t scale to meet their needs.  This lead to the creation of Aurora, the fastest growing service in AWS since its release.  Leave it to AWS to solve a database problem by building a better database from the ground up.  This led to purpose built DBs such as RDS, DynomoDB, Elasticache and Neptune.

His best day, not surprisingly, is the day they moved their largest data warehouse off Oracle to Redshift.

AWS’ scalable and reliable infrastructure were the main themes of these stories.  This laid the groundwork for the new announcements centering around serverless.  Vogels wants to free customers from having to worry about the underlying infrastructure.  His favorite keynote was when he announced Lambda in 2014.

New Announcements

Vogels stated that 95% of AWS features are built based on customer feedback, which lead to the following new announcements:

Amazon Redshift concurrency scaling: An improvement on the existing product that provides consistently fast responses to queries even when there are thousands of concurrent users and queries.  This is available for preview today.  You can sign up on the Redshift page.

AWS Toolkits for popular IDEs:  New toolkits for PyCharm, IntelliJ (Preview), and Visual Studio Code (Preview).

Lambda now supports Ruby:  You can now develop your AWS Lambda function code using Ruby.

Lambda Runtime API:  Allows you to bring your own language to Lambda.  No more language limitations.

Lambda Layers:  Provides the ability to store and version commonly-used code for easier reuse. Partners are already providing layers you can use.

Nested Applications Using Serverless Application Repository:  This allows you to compose an application from reusable building blocks. New architectures are a set of nested serverless applications.

Step Functions service integrations:  This allows you to connect to AWS services without having to write customer code. Currently this supports eight AWS services; Batch, ECS, Fargate, Glue, DynamoDB, SNS, SQS, and SageMaker.

ALB Support for Lambda:  Users can now have stateful HTTP access serverless applications.  This could allow applications that are server-based to be moved to Lambda functions without affecting the end user.

Amazon Managed Streaming for Kafka:  Kafka is an open-sourced data streaming tool and can be hard to manage and set-up.  AWS wants to take over this burden for you by providing a managed service.

AWS Well-Architected tool: Well-Architected reviews have been around for some time, and I have conducted a few myself. As you can imagine, AWS and its partners don’t have enough resources to help customers conduct these reviews.  Starting today, the automated tools are available for you do this this review yourself.

Sessions and Events

Yesterday was another full day of sessions, including some covering the new announcements from Jassy and Vogels.  As my colleague stated yesterday, if you missed a session, you can stream it on-demand later on the AWS re:Invent YouTube channel.

The night wound up with not-to-be-missed AWS re:PLAY with music by Skrillex.

Yesterday was also the final day of the Expo, and we at 2nd Watch hope you got a chance to stop by our booth to say hi.  Over the week, we had the pleasure of talking to cloud consumers from all over the world.  Regardless of location and industry, we all enjoyed solving technical challenges with AWS services.

Hope everyone had a great time and safe travels!

Larry Cusick – Solutions Architect

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AWS re:Invent 2018: Keynote Recap – Wednesday

Andy Jassy, AWS CEO, delivered Wednesday’s AWS re:Invent keynote with an emphasis on platform differentiation, relative to competitors.  In summary, he noted that AWS financials continue to have unpresented growth with a $27B revenue run-rate; 46% YoY growth or $2.1B in absolute revenue, and a 52% market-share or 4x more than the next closest competitor.  Staying with the differentiation theme, Jassy noted re:Invent 2018 is the largest attended technical conference with approximately 53,000 attendees and 2,100 technical sessions; the largest public cloud customer footprint, specifically, largest number of cloud-native startups and ISVs, and enterprise customers across all market segments; the largest partner ecosystem, where 2nd Watch was a noteworthy mention.

The keynote’s principle is what Jassy referred to as “The 5 Sentiments of What Builders Want.” Builders being the extensive AWS user community.  The sentiments were cleverly revealed in musical covers by the AWS Band, giving Jassy the premise to disclose related new product announcements:

  1. I Want It All – Queen

Jassy highlights that builders want uncompromised access to the AWS Cloud with appropriate tools to get them there fast and easy.  New Data Transfer and Storage Services differentiators that facilitate AWS adoption.  Notable product announcements included:

  • AWS DataSync – automate movement of data between on-premises storage and Amazon S3 or Amazon EFS
  • AWS SecureFTP – fully-managed SFTP service for Amazon S3
  • Amazon S3 Batch Operations (Preview) – manage billions of objects stored in Amazon S3, with a single API request or a few clicks in the S3 Management Console
  • Amazon S3 Intelligent Tiering – Amazon S3 storage class designed for customers who want to optimize storage costs automatically using ML Auto-Tiering
  • Glacier Deep Archive (Jan 2019) – durable object storage for long-term data retention and digital preservation, less than .10 of $0.01/GB/month
  • AWS EFS-Infrequent Access – saves up to 85% over EFS, cost-optimized for files that are accessed less frequently
  • Amazon FSx for Windows Server – fully-managed, with full support for the SMB protocol and Windows NTFS, Active Directory (AD) integration, and Distributed File System (DFS); PCI, HIPAA, and ISO Compliance built-in
  • AWS File System for Lustre – fully managed file system that is optimized for compute-intensive workloads; PCI, HIPAA, and ISO Compliance built-in
  1. I’ve Been Waiting – Matthew Sweet

Jassy focuses on new AWS Services that allow builders an easier path for the use and adoption of the AWS Cloud Platform, with a focus on automation and compliance.  Notable product announcements included:

  • AWS Control Tower – automates the setup of a baseline environment, or landing zone, that is a secure, well-architected multi-account AWS environment
  • AWS Security Hub – gives you a comprehensive view of your high-priority security alerts and compliance status across AWS accounts
  • AWS Lake Formation – set up a secure data lake in days, not weeks
  1. Blackbird – The Beetles

Freedom is the theme here.  With new data patterns, AWS is giving builders the freedom to deprecate legacy database constraints and give them the access to choose “the right tool (DB) for the right job (workload).”  Notable product announcements included:

  • Amazon DynamoDB On-Demand – on-demand is a flexible new capacity mode for DynamoDB
    • Amazon Timestream – purpose-built time series database service for collecting, storing, and processing time-series data (IOT Sensors, Telemetry, etc)
    • Amazon Quantum Ledger Database (QLDB) – blockchain use cases, your application’s complete change history is immutable – it cannot be altered or deleted using cryptography
    • AWS Managed Blockchain – fully managed service that allows you to set up and manage a scalable blockchain network
  1. Satisfy Me – Elvis Presley

All about AWS delivering on customer feedback and satisfying the need to enhance the AI and ML services’ user experience with real-world application scenarios.  With the launch of AWS Deep Racer (see below), AWS enables a fun, quick, and easy application of ML in the real world. Notable product announcements included:

  • AWS Inferentia – a ML inference chip, custom designed by AWS to deliver high throughput, low latency inference performance at an extremely low cost
  • Amazon Elastic Inference – allows you to attach just the right amount of GPU-powered acceleration to any Amazon EC2 and Amazon SageMaker instance
  • Amazon SageMaker Ground Truth – helps you build highly-accurate training datasets for ML quickly
  • Amazon Marketplace for ML – ML models and algorithms for Amazon SageMaker
  • Amazon SageMaker Reinforcement Learning (RL) – SageMaker built-in, fully-managed reinforcement learning algorithms
  • AWS Deep Racer and Deep Racer League – the fastest way to get rolling with ML, a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL)
  • Amazon Textrac – intelligent OCR++, uses ML to instantly “read” virtually any type of document to accurately extract text and data
  • Amazon Personalize – ML service that makes it easy for developers to create individualized recommendations for customers using their applications
  • Amazon Forecast – fully managed service that uses ML to deliver highly accurate forecasts
  1. Should I Stay Or Should I Go – The Clash

Extending the AWS Cloud Platform ecosystem to facilitate and entice adoption with new Hybrid Cloud services.  Expanding the partnership with VMWare to bring AWS Services on-prem.

  • RDS on VMware Cloud – deploy managed databases in on-premises VMware environments using the Amazon RDS
  • AWS Outpost – bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. Two flavors:
    • VMWare Cloud on AWS Outpost – VMWare Control Plane
    • Native AWS Outpost – AWS Control Plane and APIs
  • VMware Cloud Foundation for EC2 – a collection of host-resident probes, drivers and agents that allow the vSphere system to optimize and manage workloads running on EC2 environments, either in Amazon’s EC2 public cloud or on premise on Amazon’s Outposts hybrid cloud solution
  • Snowball Edge-Compute Optimized – includes a 10GBase-T network connection, 10/25Gb SFP28 and 40Gb QSFP+ copper and optical networking for fast data transfer to the device

It’s apparent AWS is listening and intent on continued enablement of the builder, sharing the tools and technologies that’s made them successful – specifically, their innovation of AI and ML use-cases to enable builders to do what they do best without limits.  We saw real-world application of AWS’ enablement from two brief customer presentations:

  • Guardian, CIO – Dean Del Vecchio: Cloud First Strategy – Secure & Compliance migrated over 200 applications to AWS, allowing them to reduce DC space by 80%. AWS gives Guardian unprecedented competitive advantage.
  • Formula1, Managing Director – Ross Brawne Obe: Using Amazon SageMaker with ML sensors and telemetry in race cars to enhance fan viewership engagement of Formula1 racing, as well HPC for new racecar designs.

Jassy closed with the well-versed FDR quote, “The Only Thing To Fear, Is Fear Itself!”  With AWS as market-leader, continuous innovation of the AWS Platform, and a rich Partner Competency and MSP ecosystem, builders small and large are empowered in their adoption and journey to the cloud.

For a full list of AWS re:Invent 2018 product announcements, visit https://aws.amazon.com/about-aws/whats-new/2018/, or for help utilizing any of these products, contact us.

-Burt Giron, Solutions Architect

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What we learned from Werner Vogels’s 2016 re:Invent Keynote Presentation

It’s all about The Transformation

At this morning’s AWS re:Invent keynote, AWS shared quite a mountain of information, and a toolbox of new services, all based around helping companies change their businesses and the way they look at technology.  Transformation was the keyword for this presentation, and it was apparent in the tools and tone taken throughout the whole two and a half hours.  The focus was on providing the tools to the “Transformers” (Highlighted by Vogel’s Autobot T-shirt), and enabling them to do amazing things for their customers. Vogel’s keynote was less about infrastructure, more about the software and how to get it into the hands of your customers, and how the toolbox that AWS continues to expand can help.  It’s not entirely about AWS though… it starts with their customers.

AWS: To Be the Most Customer Centric IT Company on Earth

There’s a large drive from all the teams at AWS to focus on the needs of their customers (that’s you by the way).  In fact, this couldn’t be more evident than with their new offering called AWS Blox, an open source scheduler for ECS that’ll be co-developed with the community.  This can also be seen in their 5 customer centric objectives:

  1. Protect the customers at all times.
  2. Listen closely to customers and act.
  3. Give customers choice.
  4. Work backwards from the customer.
  5. Help customers transform.

This led nicely into Jeff Lawson’s (CEO / Chairman – Twilio) presentation which revolved around software development.  The two things to take away from this were a couple of quotes: 1. “Building software is a mindset, not a skillset,” which speaks immeasurably to the idea of the enveloping purpose of software in the first place.  Software drives products to customers.  And 2. “Companies that win are companies that ship software.”

How can we help you be a Transformer?

There are a plethora of modern day processes revolving around Agile practices, which involve feature deployment speed to your customers.  The big, main point here is that Amazon really wants to take as much of the waste off of their customers’ shoulders as possible and manage it for them.  This is one of the fundamental principals in lean manufacturing and Agile development processes. Cut waste, so your people can concentrate on what’s important to your customer –  Providing stellar products and features.

To that end, AWS already provides everything you’ll need as far as infrastructure is concerned.  Need a thousand instances for a load ?  Spin them up, run your , then tear them down, and only pay for that hour you had them up.  That’s the bread and butter.  Where AWS is moving now is to help that development pipeline and to provide the tools to do it.

First and foremost, they’ve updated their Well Architected Framework (along with all the underlying documentation) to include a 5th pillar:

  1. Security
  2. Reliability
  3. Performance Efficiency
  4. Cost Optimization
  5. Operational Excellence (This is where Automation and CI/CD pipelines come into play.)

Transforming Operational Excellence

Automation is the name of the game here.  The existing tools have gotten some updates, and there are some new ones to add to your armory as well.

AWS CloudFormation has seen a ton of updates this past year including role-based stack creation, failure recovery, resource schemas and last but by far not least, yaml support!  Configuration management (in the form of Chef) has gotten a BIG boost in their new AWS Opsworks For Chef Automate, a fully managed chef server.  Oh, and managing system level patching and resource configuration?  They’ve got that covered as well with the Amazon EC2 Systems Manager.  The Biggest changes come to help your CI/CD pipeline.  The new AWS CodeBuild will build and your projects and fills out the pipeline toolset (between CodeCommit and CodeDeploy).  What about insight into your application?  The fantastic looking X-Ray will allow insight into your applications on a very deep level, with a smart looking UI to boot.  Another nice looking UI of a tool to handle managing events from your infrastructure is AWS Personal Health Dashboard.  This tool will help you manage responses to your events, and can be tied into Lambda for automation.

Security is number one with AWS, so it’s no surprise that they’re offering two new tools to help protect against the common DDOS attack.  The first, AWS Shield will help protect against some of the more common DDOS attack vectors.  The best thing about it?  Everyone gets it FOR FREE!  You use AWS, you get AWS Shield.  That simple.  AWS Shield Advanced is for more complex attacks and is a paid service that you can opt in for if you feel the need.

Transforming your Data

Amazon’s cloud offering levels the playing field when it comes to resource procurement.  Small companies can now compete with the big ones since they draw from the same pool and have the same tools available to them (regardless of size).  So what’s your competitive differentiator?  Data.  That’s why another focus of this past year has been on Big Data.

AWS already has a lot going for it with data analytics, from ingestion tools like Kinesis and Snowball to processing with EMR, there just seemed to be one thing missing:  AWS Glue.  AWS Glue pulls together all the components of Modern Data Warehouses into a comprehensive architecture for data analytics.  From data ingestion to data quality, source data preservation to orchestration and job scheduling, it looks like AWS Glue will manage it all.  Also on the processing end, the new AWS Batch tool will manage batch processing at any scale.

Transforming your Application Architecture

Amazon now provides 3 different architectures and payment styles when it comes to application development (or deployment if you look at it that way) – Virtualization, which is already quite robust in their compute ecosystem; Containers, which have an ever maturing product in ECS; and Serverless, which is handled quite well through services like AWS Lambda.  Virtualization didn’t get a particular mention here, but Containerization did.  Blox was already mentioned above, but there was also a “coming soon” drop here as well.  Looks like we’ll be seeing some kind of task placement engine in the near future.

Next up were new offerings around Lambda.  The first, and one that will surely broaden the adoption of serverless architectures, is the inclusion of the C# language into the list of supported languages.  To cut back on possible latency issues, you can now run Lambda functions at CloudFront locations using the new AWS Lambda@Edge.  To help coordinate all the components of your distributed applications, you now have AWS Step Functions.  This tool will allow you to coordinate all your bits and pieces using a visual workflow.

There’s a lot of potential for transforming your business here.

Like always, AWS doesn’t force you to use any particular tool or service, but they have a lot of what you need to develop products and features the right way.  They’ve made some serious strides to pull as much of the wasted, non-customer centric work away from your teams, and give them back that time to push more value to your customers.  Amazon doesn’t yet approach the organizational / process side of the equation, so that will still fall to the customer.  Once you figure it out though, it looks like AWS is positioned, and will continue to position itself, to help you and your teams make that transformation a reality.

-Craig Monson, Sr Automation Architect

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AWS re:Invent Daily Recap – Wednesday

AWS re:Invent 2016 day 2 is in the books. Attendees took part in AWS and Partner-led technical sessions, bootcamps, and GameDay and had the opportunity to interact with a wide range of Consulting and Technology Partners at reinvent:Central (the Partner & Solutions Expo).

Summit Keynote
Things started off with the re:Invent Keynote by AWS CEO Andy Jassy, and per the usual, he did not disappoint. We learned about the Four Superpowers that AWS gives organizations… Supersonic Speed, X-Ray Vision, Immortality, and Flight. and we heard success stories around this from several major corporations.  Speakers from GE, Motorola, Workday, FINRA and McDonalds joined the Keynote and told their success stories as they relate to AWS and these Four Superpowers.  We also heard from Patrick Gelsinger, CEO of VMware, and Jassy about the new partnership between AWS and VMware.  They discussed the alliance and the strategic and technical benefits that it will provide their customers.  Gelsinger notably quipped: “Your CIOs capital budget for DR should be zero.  DR should entirely be in the cloud.”

New Announcements
The Summit Keynote showcased a number of new and expanded services to the AWS lineup:

  • New C5 EC2 Instance Family:  Next Generation Compute Optimized Instances with Intel Skylake processors
  • New I3 EC2 Instance Family:  Next Generation I/O Intensive Instances
  • New R4 EC2 Instance Family:  Next Generation Memory Optimized Instances
  • New F1 EC2 Instance Family:  Compute instances with a Field Programmable Gate Arrays (FPGAs)
  • Updates to the T2 EC2 Instance Family:  Low-Cost Instances with Burstable Performance
    • xlarge with 16GiB (2x more) memory and 2 vCPU
    • 2xlarge with 32GiB Memory (4x more) and 2vCPU
  • Addition of Elastic GPUs to all EC2 instance types
  • PostgreSQL support for RDS Aurora
  • Amazon Athena:  Provides serverless interactive queries for data stored in S3 using Standard SQL
  • Amazon Rekognition:  Image recognition service that enables applications to easily recognize, search, and understand image details
  • Amazon Polly:  Text to speech service with 47 voices and 27 languages
  • Amazon LEX:  Natural language understanding and automatic speech recognition service (It’s what’s inside Alexa.)

Jassy unveiled the four new EC2 instance families – three of which are the la iterations on previous generations – listed above as well as the expansion of the T2 line. and types. The completely new EC2 instance family was the F1 class.  F1 instances offer programmable hardware via an FPGA which allows for writing custom code that executes directly on the FPGA speeding up the processing time for discrete tasks. We also learned that AWS is adding Elastic GPUs as an option (handled much like an EBS volume) that will be available to attach to any EC2 instance to boost graphics processing performance.

Amazon Athena was announced today and should be a welcomed addition for anyone looking to turn their S3 data into a data-warehouse/lake instantaneously without incurring the costs associated with a Redshift cluster, infrastructure, or other data-warehousing platform.  Athena provides serverless interactive queries for data stored in S3 using Standard SQL.  This is a truly awesome new service for building a data-warehouse inexpensively.

Perhaps one of the biggest announcements of the day came as it was announced that AWS will be releasing PostgreSQL support for Aurora.  This will definitely help Aurora continue to reshape the face of how enterprise class databases are deployed in the cloud.  Speaking of Aurora reshaping database deployment in the cloud, Jassy mentioned that since its launch Aurora is the fasting-growing service AWS has ever released with 14k+ migrations to date.

The launch of the Amazon AI platform was another major announcement made yesterday.  Leveraging the IP and tooling they have developed internally, AWS will be releasing three new services under this new AI platform aimed at providing AI services to the masses.  The first is Amazon Rekognition and provides an image detection and recognition engine.  The next is Amazon Polly, which provides a text-to-speech engine (in 47 languages with 24 voices).  The last is Amazon LEX, which is a natural language understanding and automatic speech recognition engine, which operates at the core of the Amazon Alexa platform.  This is just another great example of Amazon providing internal tools and services they have developed and bringing them to a global marketplace due to customer demand.

Some of these new features are in “preview” or “developer” access mode and haven’t been released for general availability yet. You can find more information about all of these services and more, on the AWS APN blog: https://aws.amazon.com/blogs/apn/. For a really great detailed breakdown of the Keynote check out our blog post from yesterday: http://2ndwatch.com/blog/8-things-we-learned-from-andy-jassys-2016-reinvent-keynote/

There was a flurry of activity on the re:Invent Central expo floor, and traffic to the 2nd Watch booth was no exception.  New customers were met, partnerships were discussed and all kinds of cloud expertise was disseminated to the masses.

Sessions and Events
The Agenda was chock-full of interesting and useful events, session, and demos in addition to the Keynote Address.  Events like the Alexa Skill Con, Certification Lounge provided an all-day option for honing skills and gaining AWS certification.  Some, like the live demo “Creating an AWS Data Lake on S3,” highlighted the newly-announced AWS services and features.  There were also several physical fun activities over at The Park, like Hangry Humans, Mini golf, Mechanical Bull Riding and a Batting cage for attendees to get outside for some fresh air and remain active.

After hours kicked off with the re:Invent 2016 Pub Crawl featuring a number of great restaurants and pubs. The night was finished off with a bang at the annual 2nd Watch re:Invent After Party.

Come see us today at Booth #825 for your free limited edition t-shirt and a chance to win a Segway!

-Ryan Kennedy, Principal Cloud Automation Architect

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8 things We Learned From Andy Jassy’s 2016 re:Invent Keynote

What a difference a year can make at AWS.  In Andy Jassy’s AWS re:Invent 2015 Keynote address, which lasted just shy of 2 hours, he gave us some pretty stunning financial growth statistics and detailed the seven freedoms AWS provides its customers including; the freedom to build unfettered, to get the real value from your data, to get data into or out of the cloud easily, freedom from bad database relationships, freedom to migrate, freedom to secure your cake and eat it to, and freedom to say yes.

This year, in a presentation that lasted almost two and a half hours, Andy updated us on key corporate and re:Invent statistics, discussed the “4 Superpowers” AWS endows upon their customers and, along the way, introduced many significant new products and features that are sure to change the game moving forward. Here are the key things you can take away from this presentation:

  1. AWS continues its exponential growth and commitment to its customers

The participant headcount at re:Invent this year increased to over 32,000 (up from 19,000 in 2015), Live Stream viewership increased from 38,000 in 2015 to over 50,000 and breakout session increased from 248 to over 400 this year.  In that same time AWS has grown its business from a mere $7B run rate to over $13B and is by far the fas growing large scale technology company in the world. According to Gartner, AWS has several times the compute capacity of the next 14 cloud providers combined.  With their continued investment in new features and technologies it is safe to say this lead will remain well into the future.

  1. IT Professionals Need Even More Compute Options

Agility and speed are two of the main drivers compelling companies to move to the cloud (along with cost savings of course). AWS provides the most comprehensive line of products and deep functionality which enables companies to leverage the cloud to quickly adopt the cloud and speed new products and services to market.  Andy emphasized AWS core strategy of having more than one data center in each region to provide customers the resiliency they require and that they continue to launch new products and add new features to existing products in order to make the cloud even more valuable.

AWS has more compute products than anyone else in the market but that is not stopping them from expanding their offering.  Today AWS announced the following four new EC2 instance families:

  • T2 Family: Low-Cost Instances with Burstable Performance
    • xlarge with 16GiB (2x more) memory and 2 vCPU
    • 2xlarge with 32GiB Memory (4x more) and 2vCPU
  • New R4 Family: Next Generation Memory Optimized Instances
    • 88GiB memory (2x more) DDR4 (2x faster) L3 cache (1.8x larger) and 64 vCPUs (2x more)
  • New I3 Family: Next Generation I/O Intensive Instances
    • 3 million IOPs (9x more) 4.88GiB (2x more) 15 2TB MVMe SSD (2.3x more) and 64 vCPUs (2x more)
  • New C5 Family: Next Generation Compute Optimized Instances with Intel Skylake processors
    • 72 vCPUs (2x more), Skylake processor (2x greater performance), 12Gbps to EBS (3X greater throughput) and 144GiB memory (2.4x more)
  • New F1 family (Developer Preview): Instances with access to a Field Programmable Gate Array (FPGA) which can be utilized to more quickly and efficiently execute code for application specific workloads like seismic data, genomics, and financial analysis to name just a few. With the new F1 instances users can now run custom logic on EC2 bringing custom hardware acceleration to anyone.

In addition to these new compute products AWS announced Elastic GPUs for EC2 in sizes from 1 GiB up to 8 GiBs to allow you to attach and use graphics GPUs with an EC2 instance in the same way as an EBS Volumes.  Another great new compute product announced today was Lightsail, which is in effect a Virtual Private Sever (VPS) made easy.  Lightsail truly revolutionizes VPS by making the deployment a simple three step process for as little as $5 per month.  Simply select your image, select your size, and pick a name and AWS does the rest (Launch VM, Attach SSD Storage, Manage IAM, Create Security Groups, setup DNS and create a Static IP) in the background. Now setting up a VPS is about as simple as it can get.

To quote Andy, “We love Ourselves Some Compute”, and it really shows with these new products.

  1. Companies Need Better Analytics, and AWS Can Deliver

The ability to understand your customers and business grows more critical every day.  AWS has a broad set of products including Amazon EMR, Elasticsearch, Kinesis, Redshift, QuickSite and Machine Learning. To compliment this comprehensive line of products AWS announced the launch of Amazon Athena. Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. This enables companies to query data without having to move data out of S3 or set up any infrastructure. You get fast results and pay only for the queries you run.

Artificial Intelligence and Deep Learning are clearly advancing how computers are solving intuitive problems. The challenge with AI and Deep Learning has always been that it takes very skilled team to actually make use of these technologies.   AWS is working to bring the power of AI and Deep Learning to all developers through the release of the Amazon AI Services: Amazon Rekognition, Amazon Polly, and Amazon LEX.

  • Amazon Rekognition is an image recognition service that enables applications to easily recognize, search, and understand image details.
  • Amazon Polly is a new text to speech service with 47 voices and 27 languages.
  • Amazon LEX (It’s what’s inside Alexa) is a natural language understanding and automatic speech recognition service powered by deep learning which enable programmers to build natural conversational interactions in voice and text.
  1. It’s hard for Enterprises to Stay Relevant and Grow

Only 12 of the companies in the first Fortune 500 list are still there today.  To remain relevant and continue growing, enterprises need to be able to quickly capitalize on new technologies.  The ones that do not will most likely face extinction in the future.  Andy highlighted Workday, GE, Motorola, FINRA, and McDonald as companies who have used the cloud to either build or transform their business. Workday is a $1.5B company built from the ground up in the cloud.  GE has moved 9,000 applications to AWS.  Motorola is reinventing themselves as a communications platform using AWS services.  FINRA is a financial market surveillance company using big data analytics and elastic compute at a massive scale to surveil, analyze, and protect financial markets for the SEC.  FINRA chose AWS over traditional data centers not only for the cost savings, tooling, and elastic capabilities they provide but also sited security that is better than traditional private data-centers as being a major factor.  McDonalds POS system with two hundred thousand registers is now running on AWS.  Each of these companies can now bring new products and services to market faster and can easily scale to meet future demands.

  1. Companies Need to Move Away from Customer Hostile Databases

We have all heard or experienced horror stories of old world databases.  With their proprietary designs, lock-in pricing strategies, and punitive licensing agreements these databases have been at best a challenge for many customers. AWS has built a strategy to make open databases easier, more reliable, and faster to use with offerings that include MySQL, PostgreSQL, MariaDB, and Aurora. Aurora provides the speed and availability of commercial databases with the cost-effectiveness of open source and has become their fas growing service ever (with 14k+ migrations to date).  And as of today Aurora now includes PostgreSQL support. The combination of these products make it much easier to move away from old world databases.

  1. Choosing between On Premise to Cloud is No Longer a Binary Decision

AWS is making it easier to deploy hybrid IT infrastructure.  Six weeks ago they announced a partnership with VMware to enable companies to run the same VMware software on AWS that they run in their data centers. This allows companies to use their existing VMware tools and seamlessly migrate workloads to and from the cloud greatly increasing flexibility while using the tools they are familiar with.

  1. IoT is About to Change in Dramatic Fashion

IoT devices typically have very limited resources on board.  To process information, the data has to be transported back to an on-premise or cloud datacenter.  This increases latency and bandwidth costs while exposing customers to potential connectivity disruptions. To address these issues, AWS announced Greengrass which embeds Lambda compute (and other AWS services) in connective devices to provide local compute, messaging, and data caching.  Soon Greengrass will be available on all Intel and Qualcomm IoT chips as well as Canonical and Annapurnalabs software.

  1. Your Gonna Need a Bigger Truck

Last year AWS launched Snowball a petabyte-scale data transport solution that uses secure appliances to transfer large amounts of data into and out of the AWS cloud. This product has been a huge success and after listening to users, they are expanding the service.  Today AWS announce AWS Snowball Edge providing 100Tb of storage, on-board computing and clustering capabilities, an S3 endpoint and Greengrass inside.

But what about exabyte-scale data?…  Believe it or not, enterprises are now faced with moving exabytes of data from on-premise storage to AWS.  Moving that much data to the cloud using a 10Gbps dedicated connection would take 26 years.  What to do?  Use the newly released AWS Snowmobile!  Snowmobile is a dedicated semi truck tractor trailer (yes they even drove one on stage) for data transfer. This 45 foot long rugged container and truck can be connected via fiber directly to your datacenter to collect your data then transported to AWS for upload 100 petabytes at a time taking an exabyte migration from 26 years down to 6 months.

In Closing…

AWS is not only the clear leader in the cloud space, but they continue to listen to customers and adapt their product portfolio to meet the ever changing needs of the business world.  With up to a thousand new products and features launched each year, you can be sure they will continue to adapt and remain the leader in this space for many decades to come.

-Tim Hill, Product / Program Manager

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