Not able to make it to AWS re:Invent this year in Las Vegas (Nov. 26-30)? Don't you worry, my fellow Onicans and I got you covered! Here are the slides from the final Toronto AWS Users Group Meetup of 2018 (www.meetup.com/Toronto-AWS-Users-United) where we highlighted the top announcements and did a deep dive into a few (to us) most interesting new initiatives.

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re:Invent 2018 re:Cap
Toronto AWS User Group Meetup

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AGENDA
1. Sponsors
2. 3.45 Second Standup
3. Presentation:
re:Invent re:Cap!
1. Q&A
2. Discussion & Networking

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9. 3.45
Second
Standup

10. ©2018 ONICAONICA.COM
re:Invent 2018 re:Cap
Toronto AWS User Group MeetUp
Alan Williamson, Director - Solution Architecture
Daniel ZivKovic, Cloud Solutions Architect

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Event Highlights
● Massive event - over 50,000 attendees
● Over 2,000 unique technical sessions
● AWS shared a flurry of announcements
across a range of categories!
● Used Keynote videos as Topic Index
● Many things to many people
● Common theme => Overwhelming for
everyone
Let’s go through those announcements we
think will be most important to you...

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Compute

13. Introducing Amazon EC2 C5n Instances Featuring 100 Gbps
of Network Bandwidth
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Introducing Amazon EC2 A1 Instances Powered By New
Arm-based AWS Graviton Processors

14. New – Hibernate Your EC2 Instances
Now you can :
● Hibernate your EC2
● Then bring them back to life when you need them
● You can use it on freshly launched M3, M4, M5, C3, C4, C5, R3, R4, and R5
instances running Amazon Linux 1
● Support for Amazon Linux 2 is in the works and will be ready soon
● While the instance is in hibernation, you pay only for the EBS volumes and
Elastic IP Addresses attached to it; there are no other hourly charges
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ZZZZZZZZ

15. Firecracker – Lightweight Virtualization for Running Multi-
Tenant Container Workloads
● Before : In order to attain the desired level of isolation aws used dedicated
EC2 instances for each customer
● Now : New virtualization technology that makes use of KVM
● You can launch lightweight micro-virtual machines (microVMs) in non-
virtualized environments in a fraction of a second, taking advantage of the
security and workload isolation provided by traditional VMs and the resource
efficiency that comes along with container
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Serverless
⇒ You can run multiple lambdas (from different customers)
on the same EC2 instance

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Networking

17. New – Use an AWS Transit Gateway to
Simplify Your Network Architecture
● Give you the ability to use the new AWS
Transit Gateway to build a hub-and-
spoke network topology
● You can attach up to 5000 VPCs to each
gateway and each attachment can
handle up to 50 Gbits/second of bursty
traffic.
● You can attach your AWS VPN
connections to a Transit Gateway today,
with Direct Connect planned for early
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New – AWS Global Accelerator for Availability and Performance

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Migration

20. Announcing AWS Outposts
● AWS Outposts bring native AWS services, infrastructure, and operating
models to virtually any data center, co-location space, or on-premises facility
for a truly consistent and seamless hybrid cloud.
● AWS Outposts infrastructure is fully managed, maintained, and supported by
AWS to deliver access to the latest AWS services
● Getting started is easy, you simply log into the AWS Management Console to
order your Outposts servers, choosing from a wide range of compute and
storage options
● You can order one or more servers, or quarter, half, and full rack unit
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21. New - AWS License Manager
● When using a BYOL (Bring Your Own License) strategy
● You need to make sure that you stay within the provisions of
the license
● Manage Software Licenses
● Enforce Licensing Rules
● Take into account any enterprise agreements and other terms
that govern your use of the licensed software
● Associate them with your deployment mechanism (golden
AMIs or Launch Templates) so that EC2 instances launched
via the mechanism will be automatically tracked
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22. New – AWS Private Marketplace
● New feature that enables you to create a custom digital catalog of pre-
approved products from AWS Marketplace
● Select products that meet your procurement policies and make them available
for your users
● Customize Private Marketplace with company branding, such as logo,
messaging, and color scheme
● All controls for Private Marketplace apply across your entire AWS
Organizations entity, and you can define fine-grained controls using IAM
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23. New – AWS DataSync – Automated and Accelerated Data
Transfer
AWS DataSync is a managed service and you pay only for the data that you
transfer.

24. New – AWS Transfer for SFTP – Fully Managed SFTP Service
for Amazon S3
AWS Transfer for SFTP, a fully-managed, highly-available SFTP service
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25. New – AWS Well-Architected Tool
● AWS Well-Architected Framework, as a tool
● Helps you to define your workload
● Answer questions designed to review the workload against the best practices
specified by the five pillars
● Walk away with a plan that will help you to do even better over time
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Serverless

27. New for AWS Lambda – Use Any Programming Language and
Share Common Components
● Lambda Layers, a way to
centrally manage code
and data that is shared
across multiple functions.
● Lambda Runtime API, a
simple interface to use any
programming language, or
a specific language
version, for developing
your functions.
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28. Lambda Layers – Benefits:
● Lambda Layers, a way to centrally manage code and data that is shared
across multiple functions.
● Enforce separation of concerns, between dependencies and your custom
business logic.
● Several companies are now providing them as a way for you to easily
instrument your code. Epsagon, PureSec, Thundra, DataDog, IOpipe, and
more, have all built Layers that you can simply plug in to your existing
Lambda functions without modifying your code.
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29. New for AWS Lambda – Ruby & other language Runtimes
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30. AWS Step Functions – Serverless Workflow Management
● NEW: Richer workflows
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31. AWS Step Functions – Serverless Workflow Management
● BENEFIT: Simpler integration, less code
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32. Application Load Balancer can now Invoke Lambda
Functions to Serve HTTP(S) Requests
● Application Load Balancers now support invoking
Lambda functions to serve HTTP(S) requests
● This enables users to access serverless
applications from any HTTP client, including web
browsers
● Usual AWS Lambda and Application Load
Balancer charges apply
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Storage

34. New – Automatic Cost Optimization for Amazon S3 via
Intelligent Tiering
● A new storage class, S3 Intelligent-Tiering
● This storage class incorporates two access tiers:
frequent access and infrequent access
● S3 Intelligent-Tiering monitors access patterns and
moves objects that have not been accessed for 30
consecutive days to the infrequent access tier.
● If the data is accessed later, it is automatically moved
back to the frequent access tier
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35. AWS Announces Amazon S3 Object Lock in all AWS Regions
● Amazon S3 Object Lock enables you to store objects using a "Write Once
Read Many" (WORM) model
● Using S3 Object Lock, you can prevent an object from being deleted or
overwritten for a fixed amount of time or indefinitely
● S3 Object Lock protection is maintained regardless of which storage class the
object resides in and throughout S3 Lifecycle transitions between storage
classes
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36. Amazon S3 Introduces S3 Batch Operations for Object
Management

37. Introducing Amazon FSx for Windows File Server
● Amazon FSx for Windows File Server provides a fully
managed native Microsoft Windows file system so you
can easily move your Windows-based applications that
require file storage to AWS
● Built on Windows Server, Amazon FSx provides
shared file storage with the compatibility and features
that your Windows-based applications rely on,
including full support for the SMB protocol and
Windows NTFS, Active Directory (AD) integration, and
Distributed File System (DFS)
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38. Introducing Amazon FSx for Lustre
● Amazon FSx for Lustre is a fully managed file system that is optimized for
compute-intensive workloads, such as high performance computing, machine
learning, and media data processing workflows
● Many of these applications require the high-performance and low latencies of
scale-out, parallel file systems
● With Amazon FSx for Lustre, you can launch and run a Lustre file system that
can process massive data sets at up to hundreds of gigabytes per second of
throughput, millions of IOPS, and sub-millisecond latencies
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Data
● Databases
● Big Data
● Streaming Data
● Analytics

40. Announcing Amazon Aurora Global Database
● It allows a single Aurora database to span multiple AWS regions, with fast
replication to enable low-latency global reads and disaster recovery from
region-wide outages
● Aurora Global Database uses storage-based replication with typical latency of
less than 1 second, using dedicated infrastructure that leaves your database
fully available to serve application workloads
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41. New – Amazon DynamoDB Transactions
● DynamoDB transactions provide developers atomicity, consistency, isolation,
and durability (ACID) across one or more tables within a single AWS account
and region
● Many use cases are easier and faster to implement using transactions, for
example:
a. Processing financial transactions
b. Fulfilling and managing orders
c. Building multiplayer game engines
d. Coordinating actions across distributed components and services
● Three options for reads—eventual consistency, strong consistency, and
transactional.
● Two for writes—standard and transactional. 41

42. Amazon DynamoDB On-Demand – No Capacity Planning
and Pay-Per-Request Pricing
● For tables using on-demand mode, DynamoDB instantly accommodates
customers’ workloads as they ramp up or down to any previously observed
traffic level. If the level of traffic hits a new peak, DynamoDB adapts rapidly to
accommodate the workload
● You can change a table from provisioned capacity to on-demand once per
day. You can go from on-demand capacity to provisioned as often as you
want.
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Serverless

43. Announcing Amazon Timestream – Fast, Scalable, Fully
Managed Time Series Database – Register for the Preview
43

44. Announcing AWS Lake Formation
● Creating a data lake with Lake Formation is as simple as defining
where your data resides and what data access and security
policies you want to apply
● Lake Formation then collects and catalogs data from databases
and object storage, moves the data into your new Amazon S3
data lake, cleans and classifies data using machine learning
algorithms, and secures access to your sensitive data
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45. Amazon Managed Streaming for Kafka (Amazon MSK)
Amazon MSK is a fully managed, highly available, and secure service that
makes it easy for developers and DevOps managers to run applications on
Apache Kafka in the AWS Cloud without needing Apache Kafka infrastructure
management expertise

46. Introducing Amazon Quantum Ledger Database (QLDB)
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Blockchain

48. Introducing Amazon Managed Blockchain
● Amazon Managed Blockchain is a fully managed service that allows you to
set up and manage a scalable blockchain network with just a few clicks
● Amazon Managed Blockchain eliminates the overhead required to create the
network, and automatically scales to meet the demands of thousands of
applications running millions of transactions
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Security &
Compliance

50. Introducing AWS Security Hub
● You now have a single place that aggregates, organizes, and
prioritizes your security alerts, or findings, from multiple AWS
services, such as:
○ Amazon GuardDuty
○ Amazon Inspector
○ Amazon Macie
○ AWS Partner solutions
50

51. New – AWS Control Tower
● Automates the set-up of a baseline environment, or landing zone, that is a
secure, well-architected multi-account AWS environment
● Quickly set-up and configure your AWS environment
● Get ongoing policy enforcement
● Get visual summaries of your AWS environment
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IoT

53. Introducing AWS IoT Events
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● Fully managed IoT service that makes it easy to detect and respond to events
from IoT sensors and applications
● Recognizes events across multiple sensors to identify operational issues
Such as equipment slowdowns, and triggers alerts such as notifying support
teams of an issue

54. Introducing AWS IoT Things Graph
Visually connect
different devices and
web services to build
IoT applications
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55. Introducing AWS IoT SiteWise
● Collect and organize data from industrial equipment at scale
● Your on-premises industrial data goes through a gateway and is
stored in AWS for analysis
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Machine Learning
AWS ML MISSION:
“Put Machine Learning in the hands of
every developer and data scientist”

57. Introducing Amazon Textract
● Easily extract text and data from virtually any document
● Goes beyond simple OCR to also identify the contents of fields in
forms and information stored in tables
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58. Amazon Forecast & Amazon Personalize for
developers with no prior ML experience
Based on technology that has been developed and used internally
for a lot of critical apps within Amazon.com!
● Amazon Personalize allows developers to easily build
sophisticated personalization capabilities into their applications,
such as personalized product and content recommendations,
tailored search results, and targeted marketing promotions.
● Amazon Forecast is Automated forecasting platform.
Forecasting has traditionally been a bit of a dark art, where
customers try to predict future trends in supply chain, inventory
levels, and product demand, based on historical data. 58

59. New – Amazon SageMaker Ground Truth
● Build Highly Accurate Datasets and Reduce Labeling Costs by up to 70%
● Helps you build datasets for
○ Text classification.
○ Image classification, i.e categorizing images in specific classes.
○ Object detection, i.e. locating objects in images with bounding boxes.
○ Semantic segmentation, i.e. locating objects in images with pixel-level precision.
○ Custom user-defined tasks.
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60. New – Amazon SageMaker RL
● Reinforcement Learning (RL) support
for SageMaker
● RL is an advanced machine learning
(ML) technique which takes a very
different approach to training models
than other machine learning methods:
○ RL trains models without large amounts of
training data
○ Useful when the reward function of a
desired outcome is known but the path to
achieving it is not and requires a lot of
iteration to discover.
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61. New – AWS DeepRacer
● AWS DeepRacer is a 1/18th scale race car / toy
which gives you an interesting and fun way to
get started with reinforcement learning (RL):
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● Reinforcement Learning Use Cases:

62. Amazon QuickSight announces ML Insights
● ML-powered anomaly detection to help customers uncover
hidden insights by continuously analyzing across billions of data
points.
● ML-powered forecasting and what-if analysis to predict key
business metrics with point-and-click simplicity.
● Auto-narratives to help customers tell the story of their
dashboard in a plain-language narrative.
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63. New - Amazon SageMaker Neo
● The Amazon SageMaker Neo compiler converts models into an efficient
common format, which is executed on the device by a compact runtime that
uses less than one-hundredth of the resources that a generic framework would
traditionally consume
● The Amazon SageMaker Neo runtime is optimized for the underlying hardware,
using specific instruction sets that help speed up ML inference
● This has three main benefits:
a. Converted models perform at up to twice the speed, with no loss of accuracy.
b. Sophisticated models can now run on virtually any resource-limited device, unlocking innovative
use cases like autonomous vehicles, automated video security, and anomaly detection in
manufacturing.
c. Developers can run models on the target hardware without dependencies on the framework
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64. New - Amazon Elastic Inference
● GPU-Powered Deep Learning Inference Acceleration
● Lets you attach just the right amount of GPU-powered inference acceleration
to any Amazon EC2 instance
● Also available for Amazon SageMaker notebook instances and endpoints
To keep up to date on AWS Artificial Intelligence & Machine Learning just follow
AWS Evangelist Julien Simon: https://medium.com/@julsimon
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65. New - Amazon Machine Learning University
● The same machine learning courses used to train engineers at Amazon, now
available to all developers through AWS
● More than 30 self-service, self-paced digital courses
● More than 45 hours of courses, videos, and labs
● Targeted at four key groups: developers, data scientists, data platform
engineers, and business professionals
● BTW : A new Machine Learning Certification is in beta version
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Coming Soon
● AWS Outposts
● Amazon API Gateway support for WebSocket APIs
● AWS Lake Formation
● Amazon S3 Glacier Deep Archive
● Amazon Elastic File System Infrequent Access
● Elastic Fabric Adapter
● Amazon EC2 P3dn instances
More announcements at https://aws.amazon.com/new/reinvent/
Get updates at “AWS Online Tech Talks” https://aws.amazon.com/techtalks/

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Questions?