If you could not be one of the 60,000+ in attendance at Amazon AWS re:Invent, the yearly Amazon Cloud Conference, get the 411 on what major announcements that were made in Las Vegas. This presentation covers new AWS services & products, exciting announcements, and updated features.

1. AWS re:Invent 2018
re:Cap
Patrick Hannah, VP of Engineering, CloudHesive
AWS User Group Orlando
December 11th, 2018

2. About Our Speaker
• Who am I?
• What’s my background?
• How am I using AWS?
• What do I want to accomplish in this presentation?

3. About Our Sponsor
• Professional Services
– Assessment (Current environment, datacenter or cloud footprint)
– Strategy (Getting to the future state)
– Migration (Environment-to-cloud, Datacenter-to-cloud)
– Implementation (Point solutions)
– Support (Break/fix and ongoing enhancement)
• DevOps Services
– Assessment
– Strategy
– Implementation (Point solutions)
– Management (Supporting infrastructure, solutions or ongoing
enhancement)
– Support (Break/fix and ongoing enhancement)
• Managed Security Services (SecOps)
– Encryption as a Service (EaaS) – encryption at rest and in flight
– End Point Security as a Service
– Threat Management
– SOC II Type 2 Validated
• Next Generation Managed Services
– Leveraging our Professional, DevOps and Managed Security Services
– Single payer billing
– Intelligent operations and automation
– AWS Audited

4. What are we going to talk about?
• AWS re:Invent
• AWS re:Invent Keynotes
• AWS Ancillary Activities
• AWS re:Invent Announcements

5. Application Integration
• AWS Step Functions + Amazon SageMaker & AWS Glue
– AWS Step Functions, a fully-managed workflow service, is now integrated with Amazon
SageMaker and AWS Glue, making it simpler and faster for Data Science and
Engineering teams to create, deploy, monitor, and iterate on machine learning (ML)
workflows. Using Step Functions, you can automate ML workflows by connecting and
coordinating multiple Amazon SageMaker jobs and AWS services in minutes—without
code.
• AWS Step Functions + Workflow Automation
– You can now use AWS Step Functions to automate workflows that start jobs on AWS
Batch, Amazon Elastic Container Service (ECS), and AWS Fargate; store and retrieve
data payloads on Amazon DynamoDB; and post messages to Amazon SNS and Amazon
SQS. These new integrations make workflows faster to build, simpler to secure, and
easier to monitor.

6. Analytics
• AWS Lake Formation
– AWS Lake Formation is a new service that will make it easy to set up a secure data lake in days—you will be able to ingest,
catalog, clean, transform, and secure your data. AWS Lake Formation will make it easier to combine analytic tools, like Amazon
EMR, Redshift, Athena, Sagemaker, and QuickSight around data in your data lake.
• Amazon Quicksight ML
– Amazon QuickSight becomes the first BI service to offer machine learning (ML) and natural language powered insights for all
users in an organization. With ML and natural language capabilities, users can easily discover hidden insights, understand the
key drivers, and forecast their business without any ML expertise and countless hours in manual analysis.
• Amazon Kinesis Data Analytics for Java Applications
– Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your
business and customer needs in real time. In addition to writing SQL queries to analyze streaming data, developers can now
build sophisticated Java applications using built-in capabilities for common processing functions to organize, transform,
aggregate, and analyze data at any scale.
• Amazon Managed Streaming for Kafka
– Amazon Managed Streaming for Kafka is a fully managed service that makes it easy for you to build and run applications that
use Apache Kafka to process streaming data. You do not need Kafka infrastructure management expertise, so you spend less
time managing infrastructure and more time building streaming applications.

7. Blockchain
• Amazon Managed Blockchain
– Amazon Managed Blockchain is a fully managed service that makes it easy to create and
manage scalable blockchain networks using popular open source frameworks
Hyperledger Fabric and Ethereum.
• Amazon Quantum Ledger Database
– Amazon Quantum Ledger Database (QLDB) is a fully managed, purpose-built ledger
database that provides an immutable and cryptographically verifiable history of all
changes made to your application’s data.

8. Compute
• EC2 A1 Instance
– Amazon EC2 A1 instances deliver significant cost savings and are ideally suited for scale-out and Arm-based workloads that are supported by the extensive Arm
ecosystem. A1 instances are the first EC2 instances powered by AWS Graviton Processors that feature 64-bit Arm Neoverse cores and custom silicon designed
by AWS.
• EC2 C5n
– Amazon EC2 C5n instances are the latest addition to the C5 family and provide up to 100 Gbps of networking throughput. C5n instances are ideal for network
intensive applications including high performance computing workloads, data lakes, and network appliances such as firewalls and routers.
• AWS Container Competency
– The AWS Container Competency recognizes AWS Partner Network (APN) Technology Partners with a product or solution on AWS that offers support to run on
containers. The product or solution integrates with AWS services in a way that improve customers' ability to run workloads on containers. You can now find an
AWS Container Competency Partner to optimize orchestration and scheduling, infrastructure, application build/test and deployment on containers, as well as
monitoring, logging, and security of containers.
• Firecracker
– AWS open sources Firecracker virtualization technology. Firecracker is an open-source virtualization technology that is purpose-built for creating and managing
secure, multitenant containers and functions-based services. AWS Lambda and AWS Fargate are built on Firecracker.
• AWS Outposts
– AWS Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. With
Outposts, you can use a single management plane for your entire enterprise IT environment and use the same automation, governance controls, policies, APIs,
and developer tools to build and deploy modern cloud-native applications that can be deployed on-premises or in the cloud.

9. Compute (Continued)
• Amazon EC2 P3dn instances
– Amazon EC2 P3dn.24xlarge instances are the fastest, most powerful, and largest P3 instance size available and provide up to 100 Gbps of networking throughput,
8 NVIDIA® Tesla® V100 GPUs with 32 GB of memory each, 96 custom Intel® Xeon® Scalable (Skylake) vCPUs, and 2 TB of local NVMe-based SSD storage.
The faster networking, new processors, doubling of GPU memory, and additional vCPUs enable developers to significantly lower the time to train their ML models
or run more HPC simulations by scaling out their jobs across several instances (e.g., 16, 32 or 64 instances).
• On-Demand Hibernate
– Now Pause and Resume Your Amazon EC2 Instances. You can hibernate instances to maintain a fleet of pre-warmed instances with a memory footprint that can
quickly get to a productive state.
• Lightsail Tagging
– Starting today, you can easily upgrade your instances and storage from Lightsail to EC2 with a simple, guided experience to get your instance up and running in
EC2. This feature allows you to take advantage of Lightsail's easy-to-use platform and low, predictable pricing to launch, manage and scale your application, and
then move to EC2 as your needs grow.
• Lambda as a Target for Application Load Balancer
– Application Load Balancers now support invoking Lambda functions to serve HTTP(s) requests enabling users to access serverless applications from any HTTP
client including web browsers. You can now use an Application Load Balancer as a common HTTP endpoint to simplify operations and monitoring for applications
that use servers and serverless computing.
• Lambda Layers
– AWS Lambda announces support for Lambda Layers, a simple way to manage common software and data across multiple functions. Previously, developers had
to include all the software and data needed for their Lambda function such as application frameworks, SDKs, or machine learning models in a function's
deployment package. Now, customers can use Lambda Layers to centrally manage common software and data across multiple functions.
• AWS License Manager
– AWS License Manager makes it easy to manage licenses from software vendors like Oracle, Microsoft, and SAP both on AWS and on premises. AWS License
Manager helps administrators track, control and see all their licenses from a single dashboard and lets them create rules to prevent misuse.

10. Databases
• DynamoDB Transactions
– With Amazon DynamoDB transactions, developers can support business logic in mission-critical applications that requires multiple, all-or-nothing operations. For
example, a developer building an order processing application can check that a customer’s payment method is valid, process the payment, and credit the correct
number of loyalty points to the customer’s account as a single, all-or-nothing operation.
• Amazon Timestream
– Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze
trillions of events per day at 1/10th the cost of relational databases. With Amazon Timestream, you can easily store and analyze log data for DevOps, sensor data
for IoT applications, and industrial telemetry data for equipment maintenance.
• Amazon RDS on VMware
– Amazon Relational Database Service (RDS) on VMware lets you deploy managed databases in on-premises and hybrid environments using the Amazon RDS
technology enjoyed by hundreds of thousands of AWS customers. RDS on VMware makes it easy to set up, operate, and scale databases in VMware vSphere
private data centers, or to migrate them to AWS.
• Amazon Aurora Global Database
– An Aurora Global Database spans multiple AWS Regions, with writes replicated with typical latency of <1 second using dedicated infrastructure that leaves your
database resources available entirely to serve application workloads. Applications with a worldwide footprint can use reader instances in secondary regions for low
latency reads; secondary regions can be promoted to take full read-write workloads in under a minute for disaster recovery.
• DynamoDB On-Demand
– A new billing option enabling customers to pay for only the resources they consume. The new billing option provides preconfigured throughput so workloads can
ramp instantly from zero to thousands of requests per second making DynamoDB the first database to offer the combination of internet-scale performance and a
fully managed experience with no capacity planning of servers, storage or throughput.

11. Developer Tools
• New Support for Blue/Green Deployments
– Amazon ECS and AWS Fargate now support blue/green deployments via AWS
CodeDeploy. Now you can easily automate your deployments to validate that a new
version of your application is working properly before you route production traffic to it.
• New AWS Toolkits
– The AWS Toolkit for PyCharm is a new, open source plug-in that makes it easier to
develop Python applications on AWS. The toolkit provides an integrated experience to
help you create, step-through debug, and deploy serverless applications in PyCharm.

12. Internet of Things
• AWS IoT Things Graph
– AWS IoT Things Graph lets you easily build IoT applications by connecting devices, such as sensors and actuators, and web services
with little or no code. With AWS IoT Things Graph, it's easy to connect devices and services that weren't designed to work together.
• AWS IoT Events
– AWS IoT Events is a managed IoT service that makes it easy to detect and respond to events from different IoT sensors and
applications. IoT Events helps you resolve operational issues quickly, reduce maintenance costs, increase operational efficiency, and
improve product quality.
• New Greengrass Features
– New capabilities extend AWS IoT Greengrass to include connectors to third party applications & AWS services, hardware root of trust
private key storage, and new configuration options.
• AWS IoT SiteWise
– AWS IoT SiteWise is a managed service that makes it easy to collect, structure, and search IoT data from industrial facility databases
and use it to analyze equipment and process performance. With IoT SiteWise, you can focus on understanding and optimizing your
industrial operations, rather than building costly in-house data collection and management applications.
• AWS Partner Device Catalog
– The AWS Device Qualification Catalog enables AWS customers to easily discover devices that work with AWS services including:
Amazon FreeRTOS, AWS IoT Greengrass, AWS IoT Core, and Amazon Kinesis Video Streams. The AWS Device Qualification Programs
enables AWS Partner Network (APN) hardware partners to self-qualify their devices and list them in the AWS Partner Device Catalog for
customers to easily purchase.

13. Internet of Things (Continued)
• AWS IoT Service Delivery Designations
– The AWS Service Delivery Program highlights AWS Partner Network (APN) Consulting Partners with a track record of delivering
specific AWS services to customers. At re:Invent, we announced three new AWS IoT Service Delivery designations: AWS IoT
Core, AWS IoT Analytics, and AWS IoT Greengrass. These APN Partners leverage deep technical expertise in combination with
demonstrated knowledge of related AWS services to build secure, scalable IoT solutions.
• Amazon FreeRTOS support for Bluetooth Low Energy
– Amazon FreeRTOS now supports Bluetooth Low Energy (BLE). This feature enables embedded developers to securely connect
Amazon FreeRTOS devices using BLE to AWS IoT via Android and iOS devices.
• AWS IoT Greengrass Now Supports Amazon SageMaker Neo and ML Inference Connectors on Edge Devices
– AWS IoT Greengrass ML Inference integrates with Amazon SageMaker Neo so you can run machine learning inference twice
as fast and, because models are optimized with less than a tenth of the memory footprint, they can run on resource constrained
devices such as security cameras.
• AWS IoT Device Tester
– AWS IoT Device Tester is a Windows/Linux/Mac test automation tool for connected devices. AWS IoT Device Tester lets you
easily determine if your devices running Amazon FreeRTOS or AWS IoT Greengrass can be authenticated by and interoperate
with AWS IoT services. Passing the AWS IoT Device Tester tests are required in order to be listed in the AWS Partner Device
Catalog. There are two versions of AWS IoT Device Tester, AWS IoT Device Tester for Amazon FreeRTOS and AWS IoT Device
Tester for AWS IoT Greengrass. The tool is free of charge and available on the AWS IoT Device Tester webpage.

14. Machine Learning
• Amazon SageMaker Ground Truth
– Amazon SageMaker Ground Truth is a service to help customers build high-quality and accurate training datasets with an effective combination of automatic labeling integrated with
human annotation. With Ground Truth, successful machine learning models are trained using data that has been labeled to help the model learn and make correct decisions.
• Amazon Forecast
– Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build highly-accurate
forecasts. You don’t need any machine learning experience to get started with Amazon Forecast.
• Amazon Comprehend Medical
– Amazon Comprehend Medical uses machine learning to find insights and relationships in unstructured medical text quickly at scale. Amazon Comprehend Medical is HIPAA eligible
and makes advanced medical text analytics accessible to all developers with no up-front costs.
• Amazon Elastic Inference
– Amazon Elastic Inference is an accelerated compute service that allows you to reduce deep learning inference costs by up to 75% when running inference using Amazon
SageMaker or Amazon EC2 instances. Amazon Elastic Inference offers fractional sizes of a full GPU instance that you can easily attach to SageMaker endpoints and EC2
instances running deep learning inference.
• Amazon Textract
– Amazon Textract is a service that automatically detects and extracts text and data from scanned documents. Textract goes beyond simple optical character recognition (OCR) to
also identify the contents of fields in forms and information stored in tables. With Textract you can quickly automate document workflows, enabling you to process a million
document pages in one hour.
• Amazon Personalize
– Amazon Personalize is a machine learning service that makes it easy for developers to create personalization — at scale — for each individual at the right time, and with the right
message. Based on the same personalization technology used by Amazon.com to power product recommendations for millions of customers, Amazon Personalize uses insights
generated from customer data to deliver an experience that is tailored to their specific needs and preferences.
• Amazon Sagemaker Neo
– Amazon SageMaker Neo is a new capability of Amazon SageMaker that enables machine learning models to train once and run anywhere in the cloud or at the edge, with up to 2x
performance improvement. With Amazon SageMaker Neo, machine learning models can be deployed across different hardware platforms irrespective of the framework on which
the model was built. SageMaker Neo optimizes the model with a compiler and a runtime to make the model framework-agnostic and hardware-agnostic.

15. Machine Learning (Continued)
• Amazon SageMaker RL
– Amazon SageMaker RL enables support for Reinforcement Learning to enable developers and data scientists to build, train, and deploy models in a simulated
environment to reflect real-world complex scenarios in areas such as autonomous systems, robotics, operations research, and many more. Amazon SageMaker
RL helps developers who want to learn, prototype, and rapidly deliver innovative solutions to real world problems using deep reinforcement learning techniques.
• Amazon Translate Custom Terminology
– Custom Terminology is a feature that customers can use to customize Amazon Translate output to use company- and domain-specific vocabulary. By uploading
and invoking Custom Terminology with translation requests, customers have the ability to ensure that their unique content, such as brand names, character
names, and model names, is translated exactly the way they need it, regardless of context and the Amazon Translate algorithm’s decision.
• Dynamic Training with Apache MXNet on AWS
– Dynamic Training with Apache MXNet on AWS allows customers to significantly reduce training costs by elastically adding or removing EC2 Spot or RI in the
middle of training with no loss in accuracy.
• Amazon Sagemaker Developer Enhancements
– Amazon SageMaker has several enhancements for developer productivity to help with pre-processing and post-processing of machine learning models that makes
it easier and faster to build, train, and deploy machine learning models. The new developer enhancements with Amazon SageMaker will help deploy machine
learning models quicker and easier, by reducing the heavy lifting of the pre-processing and post-processing tasks that are typically needed.
• AWS DeepRacer
– AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine
learning (ML) technique which takes a very different approach to training models than other machine learning methods. Its super power is that it learns very
complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.
• Amazon Sagemaker Orchestration and Management
– Amazon SageMaker announces several enhancements for orchestration and management to help developers accelerate the delivery of secure, resilient, machine
learning applications. The new orchestration and management enhancements with Amazon SageMaker will help reduce the amount of code needed to write and
maintain to deploy machine learning models.

16. Management & Governance
• Amazon CloudWatch Logs Insights
– Amazon CloudWatch Logs Insights is a fully integrated, interactive, and pay-as-you-go log analytics service for CloudWatch. CloudWatch Logs Insights enables
you to explore, analyze, and visualize your logs instantly allowing you to troubleshoot operational problems with ease.
• AWS Control Tower
– AWS Control Tower is the easiest way to set up and govern a secure, compliant multi-account environment. Customers will be able to quickly set-up and configure
their AWS environment with best practice blueprints, get on-going policy enforcement with guardrails, and view their dashboard for visibility into their AWS
environment.
• AWS Well-Architected Partner Program
– The AWS Well-Architected Partner Program trains and enables AWS Partner Network (APN) Consulting Partners to leverage the AWS Well-Architected
Framework to help customers establish good architectural habits, eliminate risks, and design workloads that follow AWS best practices and principles for the AWS
cloud.
• CloudWatch Application Insights for .NET and SQL
– Amazon CloudWatch Application Insights is a new service that enables observability for .NET and SQL Server applications. CloudWatch Application Insights
leverages machine learning based intelligent anomaly detection to detect key metrics and logs from your applications to surface common problems such as SQL
Server Memory Pressure.
• AWS Well-Architected Tool
– The AWS Well-Architected Tool helps you review your workloads and compares them to the latest AWS architectural best practices. The tool is based on the AWS
Well-Architected Framework, which has been used in tens of thousands of workload reviews conducted by the AWS solution architecture team. The AWS Well-
Architected tool provides architectural guidance across five conceptual pillars to help implement designs that scale with application needs over time.
–
• AWS Serverless Application Repository
– The AWS Serverless Application Repository now supports nested applications. As common serverless patterns emerge within your projects and teams, you can
now distribute and deploy them as a nested application to rapidly develop new architectures while ensuring best practices.

17. AWS Marketplace
• AWS Marketplace for Containers
– AWS Marketplace for Containers enables customers to find container products in AWS
Marketplace and the Amazon ECS console. AWS Marketplace for Containers makes it easier
to deploy container products on Amazon Container Services such as Amazon ECS and
Amazon EKS.
• Private Marketplace
– Private Marketplace is a customized catalog of third-party software products from AWS
Marketplace. With Private Marketplace, administrators can choose from thousands of listings
from AWS Marketplace to create a curated list of products and govern which products they
want their users to run on AWS.
• AWS Marketplace for Machine Learning
– Customers can now build machine learning applications faster with new machine learning
algorithms and model packages in AWS Marketplace. Algorithms and model packages in
AWS Marketplace can be deployed directly on Amazon SageMaker.

18. Migration & Transfer
• AWS Transfer for SFTP
– AWS Transfer for SFTP provides a fully managed secure file transfer service that works
with Amazon S3, eliminating the need for you to run SFTP infrastructure. It helps you
seamlessly migrate file transfer workflows to AWS without disrupting your partners or
customers client apps or processes by integrating with your existing Active Directory or
LDAP authentication systems, if you want.
• AWS DataSync
– AWS DataSync makes it easy to transfer data online to AWS up to 10 times faster than
open source tools. DataSync connects to on-premises storage via NFS and automates
transfers to and from Amazon S3 or Amazon EFS for migrations, data processing, or data
protection.

19. Networking & Content Delivery
• AWS Global Accelerator
– AWS Global Accelerator is a network service that improves the availability and performance of the applications that you offer to your global customers. AWS
Global Accelerator continuously monitors the health of your application endpoints and routes traffic to the closest healthy network endpoints using the AWS global
network.
• Amazon API Gateway support for WebSocket APIs
– Amazon API Gateway now supports WebSocket APIs to enable customers to build real-time two-way communication applications. Customers can use serverless
APIs to handle connections and message transfer between users and backend services, making it easier to build and host chat applications, streaming
dashboards, and more.
• Elastic Fabric Adapter
– Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run High Performance Computing (HPC) applications
requiring high levels of inter-node communications, like computational fluid dynamics, weather modeling, and reservoir simulation, at scale on AWS.
• AWS Transit Gateway
– AWS Transit Gateway easily scales your connectivity across thousands of Amazon VPCs, AWS accounts, and on-premises networks. AWS Transit Gateway acts
as a hub that significantly simplifies management and reduces operational costs. Each network is simply connected to the AWS Transit Gateway and is then
automatically available to every other network that is connected to the AWS Transit Gateway.
• AWS App Mesh
– AWS App Mesh makes it easy to control and monitor microservices on AWS. App Mesh manages all the communications for your microservices, simplifying
visibility, troubleshooting, and deployments.
• AWS Cloud Map
– AWS Cloud Map is the map of your cloud. With Cloud Map, you can define custom names for your application resources, and it maintains the updated location of
these dynamically changing resources. This increases your application availability because your web service always discover the most up-to-date locations of its
resources.

20. Security, Identity, & Compliance
• AWS Security Hub
– AWS Security Hub gives you a comprehensive view of your high-priority security alerts
and compliance status across AWS accounts by aggregating and prioritizing your security
findings from multiple AWS and partner services. Using the interactive dashboards, you
can continuously monitor your environment for potential issues, initiate actions to remedy
those issues, and automate compliance checks to meet best practices and industry
standards.
• KMS Custom Key Store
– KMS now gives customers the option to create dedicated, single-tenant custom key
stores using CloudHSM clusters. Customers can now combine the control and isolation
provide by CloudHSM with the integration and ease of use of KMS to manage encryption
keys across AWS.

21. Storage
• Amazon Elastic File System Infrequent Access
– The Amazon Elastic File System Infrequent Access storage class reduces file system costs for files that aren’t accessed every day. By using EFS Lifecycle
Management to automatically transition files that haven’t been accessed for 30 days into the Infrequent Access storage class, you can save up to 80% on your
EFS bill.
• S3 Object Lock
– Amazon S3 Object Lock is a new S3 feature that blocks object deletion during a customer-defined retention period, enabling you to enforce retention policies as an
added layer of data protection or for regulatory compliance. You can now write bucket-level policies that apply write-once-read-many (WORM) protection to objects
as they are added to Amazon S3 to prevent deleting an object prior to its Retain Until Date.
• Amazon S3 Glacier Deep Archive
– Amazon S3 Glacier Deep Archive is a new Amazon S3 storage class that provides secure, durable object storage for long-term data retention and digital
preservation at costs that are the lowest of any AWS service. S3 Glacier Deep Archive is the ideal storage class for customers looking to make an archival, durable
copy of data that rarely, if ever, needs to be accessed.
• Four New Amazon S3 Features
– Four new Amazon S3 features help you reduce your storage costs by making it even easier to build archival applications using the Amazon S3 Glacier storage
class and by enabling one-click data replication to S3 Glacier in another AWS Region. S3 PUT to Glacier, S3 Cross-Region Replication to Glacier, S3 Restore
Notifications, and S3 Restore Speed Upgrade are available using the industry-standard S3 APIs, AWS Software Development Kits (SDKs), and AWS
Management Console for simple integration with your archival and data protection workflows and applications.
• Amazon FSx for Windows File Server
– Amazon FSx for Windows File Server provides a fully managed native Microsoft Windows file system that can be accessed from up to thousands of compute
instances. Built on Windows Server and SSD storage, Amazon FSx provides Windows shared file storage with the compatibility, features, and performance that
your Windows-based applications rely on, so you can easily move your Windows-based applications to AWS.

22. Storage (Continued)
• Amazon FSx for Lustre
– Amazon FSx for Lustre is a fully managed file system optimized for compute-intensive workloads and integrated with Amazon S3. For compute-intensive
workloads, such as High-Performance Computing (HPC), and Machine Learning, you can leverage the scale and performance of FSX for Lustre to process your
file-based data at up to hundreds of gigabytes per second of throughput, millions of IOPS, and sub-millisecond latencies.
• AWS Snowball Edge Compute Optimized
– AWS Snowball Edge Compute Optimized is now available in the US East (Virginia), US West (Oregon and Northern California), GovCloud (US-West), and EU
(Ireland) AWS Regions. The new compute optimized option provides 52 vCPUs,7.62TB of NVMe SSD, 42TB of S3 compatible storage, and an optional GPU for
performing compute-intensive analysis in rugged or disconnected locations.
• S3 Batch Operations
– S3 Batch Operations makes it simple for customers to manage billions of objects stored in Amazon S3, with just a few clicks in the Amazon S3 Management
Console or a single API request. Customers can now make changes to object properties and metadata, and perform other storage management tasks, such as
copying objects between buckets, replacing tag sets, modifying access controls, and restoring archived objects from Amazon S3 Glacier—for any number of S3
objects in minutes instead of months.
• S3 Intelligent-Tiering (S3 INT)
– S3 Intelligence-Tiering is a new Amazon S3 storage class and the first cloud storage class to automatically optimize costs by tiering data between two access tiers:
one optimized for frequent access that is priced the same as S3 Standard storage, and the other designed for infrequent access that is priced the same as S3
Standard-Infrequent Access storage. It works by monitoring access patterns across your data, and moving objects which have not been accessed in 30 days from
the frequent access tier to the infrequent access tier; if you access objects in the infrequent access tier, they will move back to the frequent access tier (with no
retrieval fees).
• Amazon EBS Doubles Max Performance of io1 Volumes
– Amazon EBS doubled the maximum performance of Provisioned IOPS SSD (io1) volumes up to 64,000 IOPS and 1,000 MB/s throughput. These performance
improvements make it even easier to run applications requiring high performance storage, such as large transactional databases, big data analytics, and log
processing applications.

23. Other
• AWS Elemental MediaConnect
– AWS Elemental MediaConnect is a reliable, secure, and flexible transport service for high-quality live video. Build sophisticated cloud-
based video workflows, securely share video with partners, and send live video to destinations inside or outside of the AWS Cloud.
• AWS Amplify Console
– The AWS Amplify Console provides continuous deployment and hosting of cloud-powered modern web apps. Modern web apps offer a
native app-like experience by serving the frontend, or user interface to the browser without requiring a page reload. The frontend is
hosted as static content on a geographically distributed content delivery network (CDN) allowing content to be delivered globally with low
latency. The backend is serverless, enabling developers to focus on writing code without managing servers. The Amplify Console offers a
simplified workflow for deploying frontend and (serverless) backend updates in a single workflow – on every ‘git push’.
• AWS RoboMaker
– AWS RoboMaker is a service that makes it easy to develop, test, and deploy intelligent robotics applications at scale. AWS RoboMaker
provides the tools to make building intelligent robotics applications more accessible, a fully managed simulation service for quick and
easy testing, and a deployment service for lifecycle management. AWS RoboMaker removes the heavy lifting from each step of robotics
development so you can focus on creating innovative robotics applications.
• AWS Ground Station
– AWS Ground Station is a fully managed Ground Station-as-a-Service (GSaaS) that lets you control satellite communications, downlink
and process satellite data, and scale your satellite operations quickly, easily and cost-effectively without having to worry about building or
managing your own ground station infrastructure. AWS Ground Station can help you save up to 80% on the cost of your ground station
operations by using a fully-managed ground station-as-a-service instead of building and operating your own global ground station
infrastructure. There are no long-term commitments, you pay only for how long you use the antennas, and you gain the ability to rapidly
scale your satellite communications on-demand when your business needs it.

24. …That’s It!
• Questions?

25. Meetups
• Boca Raton: https://www.meetup.com/awsflorida
• Doral: https://www.meetup.com/AWSUserGroupDoral
• Fort Lauderdale: https://www.meetup.com/South-Florida-Amazon-Web-Services-Meetup
• Jacksonville: https://www.meetup.com/AWS-User-Groups-of-Florida-Jacksonville
• Miami: https://www.meetup.com/Miami-AWS-Users-Group
• Miami Beach: https://www.meetup.com/aws-user-group-miami
• Orlando: https://www.meetup.com/Orlando-AWS-Users-Group
• Palm Beach Gardens: https://www.meetup.com/AWS-Users-Group-of-Florida-Palm-Beach-
Gardens
• Tampa: https://www.meetup.com/Tampa-AWS-Users-Group
• Montevideo, Uruguay: https://www.meetup.com/Meetup-de-Amazon-Web-Services-AWS-en-
Montevideo
• Asuncion, Paraguay: https://www.meetup.com/Meetup-de-Amazon-Web-Services-en-Asuncion
• South Florida Jenkins Area Meetup: https://www.meetup.com/South-Florida-Jenkins-Area-Meetup

26. Further Learning
• Getting Started: https://aws.amazon.com/getting-started
• General Reference: http://docs.aws.amazon.com/general/latest/gr
• Global Infrastructure: https://aws.amazon.com/about-aws/global-infrastructure/
• FAQs: https://aws.amazon.com/faqs
• Documentation: https://aws.amazon.com/documentation/
• Architecture: https://aws.amazon.com/architecture
• Whitepapers: https://aws.amazon.com/whitepapers
• Security: https://aws.amazon.com/security
• Blog: https://aws.amazon.com/blogs
• What’s New: https://aws.amazon.com/about-aws/whats-new/2018
• News: https://aws.amazon.com/blogs/aws
• Service Specific Pages: https://aws.amazon.com/service
• AWS Answers: https://aws.amazon.com/answers/
• AWS Knowledge Center: https://aws.amazon.com/premiumsupport/knowledge-center/
• SlideShare: http://www.slideshare.net/AmazonWebServices
• Youtube: https://www.youtube.com/user/AmazonWebServices
• Github: https://github.com/aws and https://github.com/awslabs
• /r/aws: https://www.reddit.com/r/aws
• 2018 re:Invent Product Announcements: https://aws.amazon.com/new/reinvent

27. Thank you!
Patrick Hannah, VP of Engineering, CloudHesive
AWS User Group Orlando
December 11th, 2018