The document summarizes announcements from AWS re:Invent about new and updated AWS services. It describes new EC2 instance types, updates to compute, database, developer tools, machine learning, IoT, marketplace, networking, security, and storage services. Key announcements include new EC2 Graviton processor instances, AWS Step Functions integration, DynamoDB transactions, Amazon Timestream, AWS Global Accelerator, AWS Security Hub, and Amazon S3 storage class updates. The event included sessions on these topics along with networking and pizza.

1. AWS re:Invent Recap
5th December 2018

2. Sponsors

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● 6.00pm Introductions
● 6.20pm Session 1 Announcement review
● 6.40pm Break - Pizza & Beer
● 7.20pm Session 2 Announcement review
● 7.40pm Networking
Tonight:

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Session 1 Session 2
Compute IoT
Analytics/App Integration Marketplace
Databases Networking & Content Delivery
Developer Tools Security, Identity & Compliance
Machine Learning Storage

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Compute:
EC2 A1 Instances
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 Instances
Amazon EC2 C5n instances are the latest addition to the C5
family and provide up to 100 Gbps of networking throughput.
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.
AWS Outposts (Coming Soon)
AWS Outposts bring native AWS services, infrastructure, and
operating models to virtually any data center, co-location
space, or on-premises facility.
On-Demand Hibernated
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.
Firecracker
Firecracker is an open-source virtualization technology that is
purpose-built for creating and managing secure, multitenant
containers and functions-based services.

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Compute:
EC2 A1 Instances
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 Instances
Amazon EC2 C5n instances are the latest addition to the C5
family and provide up to 100 Gbps of networking throughput.
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.
AWS Outposts (Coming Soon)
AWS Outposts bring native AWS services, infrastructure, and
operating models to virtually any data center, co-location
space, or on-premises facility.
On-Demand Hibernated
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.
Firecracker
Firecracker is an open-source virtualization technology that is
purpose-built for creating and managing secure, multitenant
containers and functions-based services.

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Compute:
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.
Lambda Layers
AWS Lambda announces support for Lambda Layers, a
simple way to manage common software and data across
multiple functions.
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.
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 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.

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Application Integration & Analytics:
AWS Step Functions + Amazon
SageMaker & AWS Glue
AWS Step Functions 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.
AWS Step Functions + Workflow
Automation
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.
AWS Lake Formation (Coming Soon)
AWS Lake Formation 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.
Amazon Quicksight (Preview)
Amazon QuickSight becomes the first BI service to offer
machine learning (ML) and natural language powered
insights for all users in an organization.
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.
Amazon Managed Streaming for Kafka
(Preview)
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.

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Databases:
DynamoDB Transactions
With Amazon DynamoDB transactions, developers can
support business logic in mission-critical applications that
requires multiple, all-or-nothing operations.
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.
Amazon Aurora Global Databases
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.
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.
Amazon RDS on VMware
Using Amazon Relational Database Service (RDS) on
VMware lets you deploy managed databases in on-premises
and hybrid environments.
DynamoDB On-Demand
A new billing option enabling customers to pay for only the
resources they consume.

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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.

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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.
Amazon Comprehend Medical
Amazon Comprehend Medical uses machine learning to find
insights and relationships in unstructured medical text quickly
at scale.
Amazon Textract (Preview)
Amazon Textract is a service that automatically detects and
extracts text and data from scanned documents.
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.
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.
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.

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Machine Learning:
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.
Amazon Forecast Preview
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.
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 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.
Amazon Personalize Preview
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.
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.

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Machine Learning:
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.
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).
AWS IoT Greengrass ML Inference
AWS IoT Greengrass ML Inference integrates with the new
features of SageMaker. Now you can run machine learning
inference faster and on more kinds of devices even those
with low compute and storage capabilities.

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Break & Networking:
● Refill your drink
● Grab some pizza
● Meet some new people!

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Internet of Things:
AWS IoT Things Graph (Preview)
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.
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 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.
IoT Events (Preview)
AWS IoT Events is a managed IoT service that makes it easy
to detect and respond to events from different IoT sensors
and applications.
AWS IoT SiteWise (Preview)
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.
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.

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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 Machine Learning
Customers can now build machine learning applications
faster with new machine learning algorithms and model
packages in AWS Marketplace.
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 IoT Greengrass ML Inference integrates with the
new features of SageMaker. Now you can run machine
learning inference faster and on more kinds of devices even
those with low compute and storage capabilities.

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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.
Elastic Fabric Adapter (Coming Soon)
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 App Mesh Beta
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 deployment
Amazon API Gateway support for
WebSocket APIs (Coming Soon)
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.
AWS Transit Gateway
AWS Transit Gateway easily scales your connectivity across
thousands of Amazon VPCs, AWS accounts, and
on-premises networks.
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.

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Security, Identity, & Compliance:
AWS Security Hub (Preview)
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.
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.

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Storage:
Amazon Elastic File System Infrequent
Access (Coming Soon)
The Amazon Elastic File System Infrequent Access storage
class reduces file system costs for files that aren’t accessed
every day.
Amazon S3 Glacier Deep Archive (Coming
Soon)
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.
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.
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.
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 for frequent
and infrequent storage.
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.

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Storage:
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.
Amazon FSx for Lustre
Amazon FSx for Lustre is a fully managed file system
optimized for compute-intensive workloads and integrated
with Amazon S3.
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.
S3 Batch Operations (Preview)
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.

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6th Feb 2019 @ BlueChilli
https://meetup.com/aws-sydney

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MERRY CHRISTMAS