re:Invent 2017 Serverless Recap

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Serverless Recap
D a n i l o P o c c i a , T e c h n i c a l E v a n g e l i s t
d a n i l o p @ a m a z o n . c o m
@ d a n i l o p
d a n i l o p
L o n d o n , D e c e m b e r 5 t h 2 0 1 7

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AWS Lambda Doubles Maximum Memory Capacity
for Lambda Functions
You can now allocate 3,008MB of memory to your
AWS Lambda functions. Previously, the maximum
amount of memory available to your functions was
1,536MB. Now, it's easier to process workloads with
higher memory or denser compute requirements,
such as big data analysis, large file processing, and
statistical computations.
AWS Lambda Introduces Enhanced Console
Experience
The AWS Lambda console has been updated with
enhancements and new features that improve the
experience of creating, configuring, testing, and
monitoring your Lambda functions.
AWS Lambda Per Function Concurrency/Throttle
You can now set a concurrency limit on individual
AWS Lambda functions. The concurrency limit you
set will reserve a portion of your account level
concurrency limit for a given function. This feature
allows you to throttle a given function if it reaches a
maximum number of concurrent executions allowed.
This is useful when you want to limit traffic rates to
downstream resources called by Lambda (e.g.
databases) or if you want to control the consumption
of elastic network interfaces (ENI) and IP addresses
for functions accessing a private VPC.
.NET Core 2.0 language support (pre-announce)
…and Go
AWS Lambda

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AWS CloudTrail Adds Logging of Execution Activity
for AWS Lambda Functions
You can now log the execution activity of your AWS
Lambda functions with AWS CloudTrail Lambda data
events. Previously, you could only log Lambda
management events, which provide information on
when and by whom a function was created,
modified, or deleted. Now, you can also record
Lambda data events and get additional details on
when and by whom an Invoke API call was made and
which Lambda function was executed.
Support for Serverless Deployments in AWS
CodeDeploy
You can now use AWS CodeDeploy to deploy AWS
Lambda functions. CodeDeploy helps you automate
the testing, rollout and, if necessary, rollback of
Lambda functions. This will help you reduce risks
associated with updating Lambda functions.
AWS Lambda

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New Deployment Options
for AWS Lambda Functions
You can now shift incoming
traffic between two AWS
Lambda function versions
based on pre-assigned
weights. This allows you to
gradually shift traffic
between two versions,
helping you reduce the risk
and limit the blast radius of
new Lambda deployments.
You can now also use AWS
CodeDeploy to
automatically manage the
rollout of new function
versions.
Gradual Code Deployment
Resources:
MyLambdaFunction:
Type: AWS::Serverless::Function
Properties:
Handler: index.handler
Runtime: nodejs4.3
CodeUri: s3://bucket/code.zip
AutoPublishAlias: live
DeploymentPreference:
Type: Canary10Percent10Minutes
Alarms:
# A list of alarms that you want to monitor
- !Ref AliasErrorMetricGreaterThanZeroAlarm
- !Ref LatestVersionErrorMetricGreaterThanZeroAlarm
Hooks:
# Validation Lambda functions that are run
# before & after traffic shifting
PreTraffic: !Ref PreTrafficLambdaFunction
PostTraffic: !Ref PostTrafficLambdaFunction
AWS Lambda
Deployment Preference Type
Canary10Percent30Minutes
Linear10PercentEvery10Minutes
Linear10PercentEvery1Minute
AllAtOnce

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Increased the limits for Lambda@Edge functions
You can choose up to 1536MB of memory, deploy
larger packages up to 50MB, and implement
Lambda@Edge functions with longer timeouts, up to
30 seconds.
Advanced response generation
Now with support for binary responses (such as
images) and higher Lambda function limits, you can
move more complex logic to the edge than was
possible previously.
Network calls on viewer-facing events
In addition to the remote network calls from origin-
facing CloudFront events, Lambda@Edge now
supports remote network calls from viewer-facing
CloudFront events. For instance, you can now make
remote calls to your authentication servers to verify
user-privilege levels and serve premium vs. non-
premium content based on what each user is
authorized for.
Lambda@Edge (Nov 21, 2017)

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Content-based dynamic origin selection
Previously with Lambda@Edge, you could only
forward requests to a pre-defined origin that you
configured for your CloudFront distribution. Now
you can front multiple backend origin application
services with Amazon CloudFront and use
Lambda@Edge to route requests to the appropriate
origin dynamically, based on the attributes of the
request.
Lambda@Edge (Nov 21, 2017)

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AWS Greengrass has three new features
First, AWS Lambda functions running on Greengrass
Core devices can natively interact with the
capabilities of the underlying host device.
Second, Greengrass can now also use the popular
industrial messaging protocol OPC-UA.
Third, you can now remotely update the Greengrass
Core software to take advantage of new features,
bug fixes and security enhancements.
AWS Greengrass ML Inference Preview
AWS Greengrass ML inference lets you deploy and
run ML inference locally on connected devices. Doing
inference on connected devices reduces the latency
and cost of sending device data to the cloud to make
a prediction. Rather than sending all data to the
cloud for ML inference, ML inference is performed
right on devices and data is sent to the cloud only
when it requires more processing.
AWS Greengrass

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API Gateway Canary Release Deployments
You can now use canary release deployments to
gradually roll out new APIs in Amazon API Gateway.
This helps you more safely roll out API changes and
limit the blast radius of new deployments.
Using the new stage-level settings for canaries, you
can set the percentage of API requests that is
handled by new API deployments to a stage. You can
also define new stage variables with the canary
settings.
When canary settings are enabled for a stage, API
Gateway will generate an additional Amazon
CloudWatch Logs group and CloudWatch metrics for
the requests handled by the canary deployment API.
API Gateway Private VPC Integrations
You can now provide access to HTTP(S) resources
within your Amazon Virtual Private Cloud (VPC)
without exposing them directly to the public
Internet. You can use API Gateway to create an API
endpoint that is integrated with your VPC.
Amazon API Gateway Supports Regional API
Endpoints (Nov 2, 2017)
You can now choose from two types of API endpoints
when creating REST APIs and custom domains with
Amazon API Gateway. A regional API endpoint is a
new type of endpoint that is accessed from the same
AWS region in which your REST API is deployed.
The second type of API endpoint is the edge-
optimized API. Edge-optimized APIs are endpoints
that are accessed through a CloudFront distribution
that is created and managed by API Gateway.
Amazon API Gateway

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The AWS Serverless Application Repository, now
available in Preview, is a collection of serverless
applications published by developers, companies,
and partners in the serverless community. Now,
customers can easily discover, deploy, and publish
everything from code samples and components for
building web and mobile applications to back-end
processing services and complete applications.
AWS Serverless Application Repository Preview

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AWS Cloud9 is a
cloud-based
development
environment (IDE)
that lets you write,
run, and debug
your code with just
a browser.
It includes a code
editor, debugger,
and terminal.
It is integrated in
the new enhanced
AWS Lambda
console.
AWS Cloud9

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Amazon Simple Notification Service (SNS)
Introduces Message Filtering (Nov 22, 2017)
You can now use message filtering on Amazon
Simple Notification Service (SNS) to build simpler
and more streamlined pub/sub architectures.
Message filtering enables Amazon SNS topic
subscribers to selectively receive only a subset of the
messages they are interested in, as opposed to
receiving all messages published to a topic. This new
approach removes the design complexity of
implementing message filtering logic in your
subscribers, or message routing logic in your
publisher systems.
Amazon SNS

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Amazon DynamoDB Global Tables
Global Tables builds upon DynamoDB’s global
footprint to provide a fully managed multi-region,
multi-master global database that provides fast
local read and write performance for massively
scaled applications with globally dispersed users.
Global Tables handles the difficult work of
automatically replicating data between regions and
resolving update conflicts, enabling developers to
focus on the application logic when building globally
distributed applications.
Amazon DynamoDB On-Demand Backup
On-Demand Backup allows you to create full backups
of your DynamoDB tables data and settings for data
archival, helping you meet your corporate and
governmental regulatory requirements. You can
backup tables from a few to hundreds of terabytes of
data instantaneously, with no impact on performance
and availability to your production applications.
Amazon DynamoDB

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Sign Up for the Preview of Amazon Aurora
Serverless
This new serverless mode will save you time and
money by automatically adjusting database capacity
to match your application needs. The preview will be
available for the MySQL-compatible edition of
Amazon Aurora.
Stay tuned for more information about Amazon
Aurora Serverless in early 2018. Our current plan is
to make it available in production form with MySQL
compatibility in the first half, and to follow up with
PostgreSQL compatibility later in the year.
Amazon Aurora Serverless Preview

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Amazon S3 Select Preview
Most applications have to retrieve the complete set
of objects and then filter out just the required data.
With Amazon S3 Select, applications can offload the
heavy lifting of filtering and accessing data inside
objects to the Amazon S3 service to retrieve only a
subset of data from an S3 object instead of
retrieving the entire object. By reducing the volume
of data that has to be loaded and processed by your
analytics applications, S3 Select can improve the
performance of most applications that frequently
access data from S3 by up to 400%.
Amazon Glacier Select
Amazon Glacier Select is a new way to query archived
data in Amazon Glacier. Amazon Glacier Select allows
queries to run directly on data stored in Amazon
Glacier, retrieving only the data you need out of your
archives to use for analytics. This allows you to
reduce total cost of ownership while massively
extending your data lake into cost-effective archive
storage.
Amazon S3 & Amazon Glacier

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Amazon Kinesis Video Streams makes it easy to
securely stream video, audio, and other time-
encoded data from sources like cameras, RADARs,
thermal sensors, and other connected devices to
AWS for machine learning (ML), analytics, and more.
Amazon Kinesis Video Streams

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AWS AppSync is a fully managed
serverless GraphQL service for real-
time data queries, synchronization,
communications and offline
programming features.
AWS AppSync automatically updates
the data in web and mobile
applications in real time, and
updates data for offline users as
soon as they reconnect. AppSync
makes it easy to build collaborative
mobile and web applications that
deliver responsive, collaborative
user experiences
You can use AWS AppSync to build
native mobile and web apps with
iOS, Android, JavaScript and React
Native.
AWS AppSync Preview

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Advanced Security Features for Amazon Cognito
Advanced security features for Amazon Cognito
enable you to secure access to your applications
using risk-based adaptive authentication and
compromised credentials protection. When Amazon
Cognito detects unusual sign-in activity, such as
sign-in attempts from new locations and devices, it
prompts users for additional verification.
AWS Mobile Hub redesigned console (Nov 21, 2017)
With the redesigned console, a project now allows
users to define four different app platforms for their
backend. This means developers can configure
backend features like User Sign-in once, and
integrate it with an iOS, Android, Web, and React
Native app, all through the console.
AWS Amplify, a declarative JavaScript library for
cloud development with mobile or web
applications (Nov 21, 2017)
The AWS Amplify library modules are broken down
into categories (Auth, Analytics, Storage, APIs,
Caching) to quickly add features such as User
SignUp/SignIn, MFA, tracking or metric analytics,
content management or Serverless API integration.
There are components and extensions for React and
React Native.
AWS Mobile CLI (Nov 21, 2017)
With the new AWS Mobile CLI developers have a
comprehensive CLI experience for building projects.
This experience includes creating serverless back-
ends with AWS Lambda, allowing you to inject cloud
functionality into an existing project. The Amplify
library then allows common configuration from this
process to be consumed for usage in a single line of
code.
AWS Mobile & Amazon Cognito

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AWS Elemental MediaConvert
AWS Elemental MediaConvert is a service that
formats and compresses offline video content for
delivery to televisions or connected devices. High-
quality video transcoding makes it possible to create
on-demand video assets for virtually any device.
AWS Elemental MediaPackage
AWS Elemental MediaPackage is a service that
performs just-in-time packaging for cost-effective
video distribution. Enrich video experiences with
time-shifted TV and other advanced features while
securing valuable content and reducing storage
costs.
AWS Elemental MediaStore
AWS Elemental MediaStore is a high-performance
storage service paired with the security and
durability of Amazon S3 that is optimized to handle
high frequency requests for video data.
AWS Elemental MediaLive
AWS Elemental MediaLive is a service that lets you
encode broadcast-grade live video for televisions or
connected devices. Quickly stand up broadcast
channels or live events and scale them as needed
with the push of a button.
AWS Elemental MediaTailor
AWS Elemental MediaTailor is a service that makes it
easy to insert targeted advertising into streaming
video at scale. By personalizing content, you can
increase viewer engagement and boost video
monetization.
New Media Services

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Amazon Rekognition Video
Amazon Rekognition Video is a deep learning
powered video analysis service that tracks people,
detects activities, and recognizes objects, celebrities,
and inappropriate content. Amazon Rekognition
Video can detect and recognize faces in live streams.
Rekognition Video analyzes existing video stored in
Amazon S3 and returns specific labels of activities,
people and faces, and objects with time stamps so
you can easily locate the scene. It can also perform
facial recognition on live video from Amazon Kinesis
Video Steams. For people and faces, it also returns
the bounding box, which is the specific location of
the person or face in the frame.
Amazon Comprehend
Amazon Comprehend is a natural language
processing (NLP) service that uses machine learning
to find insights and relationships in text. Amazon
Comprehend identifies the language of the text;
extracts key phrases, places, people, brands, or
events; understands how positive or negative the
text is; and automatically organizes a collection of
text files by topic. You can use the Amazon
Comprehend APIs to analyze text and use the results
in a wide range of applications including voice of
customer analysis, intelligent document search, and
content personalization for web applications.
New API-driven Machine Learning Services

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Amazon Transcribe Preview
Amazon Transcribe is an automatic speech
recognition (ASR) service that makes it easy for
developers to add speech-to-text capability to their
applications. Using the Amazon Transcribe API, you
can analyze any audio files stored in a common
format (WAV, MP3, etc.) in Amazon Simple Storage
Service (S3) and have the service return a text file of
all the transcribed speech.
Amazon Translate Preview
Amazon Translate is a neural machine translation
service that delivers fast, high-quality, and
affordable language translation. Neural machine
translation is a form of language translation
automation that uses machine learning and deep
learning models to deliver more accurate and more
natural sounding translation than traditional
statistical and rule-based translation algorithms.
Amazon Translate allows you to easily translate large
volumes of text efficiently, and to localize websites
and applications for international users.
New API-driven Machine Learning Services

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Amazon Sumerian lets you create and run virtual
reality (VR), augmented reality (AR), and 3D
applications quickly and easily without requiring any
specialized programming or 3D graphics expertise.
With Sumerian, you can build highly immersive and
interactive scenes that run on popular hardware
such as Oculus Rift, HTC Vive, and iOS mobile
devices.
Amazon Sumerian Preview

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Alexa for Business is an AWS service that
makes it easy for you to empower your
organization with Alexa by giving your
employees their own intelligent assistant
for work. Alexa for Business gives you the
tools to manage Alexa for your organization
– at scale.
Alexa for Business

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…and lots more!
https://aws.amazon.com/new/reinvent/

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Serverless Recap
D a n i l o P o c c i a , T e c h n i c a l E v a n g e l i s t
d a n i l o p @ a m a z o n . c o m
@ d a n i l o p
d a n i l o p
L o n d o n , D e c e m b e r 5 t h 2 0 1 7

View Slide

re:Invent 2017 Serverless Recap

re:Invent 2017 Serverless Recap

Danilo Poccia

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