Serverless Meetup - 12 gennaio 2017
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This document summarizes key announcements from re:Invent 2016 related to serverless technologies on AWS. It discusses new features for AWS Lambda including environment variables, dead letter queues, and upcoming support for Go and Node.js 6.9. It also introduces AWS Step Functions for orchestrating microservices, Serverless Application Model (SAM) for describing serverless apps, and Amazon CodeBuild for continuous integration/delivery of serverless projects. Other new services highlighted include AWS Greengrass, Lambda@Edge, Amazon Rekognition, and Amazon Lex.
Serverless Meetup - 12 gennaio 2017
- 1. www.neosperience.com | blog.neosperience.com | info@neosperience.com January 2017 re:Invent Serverless Luca Bianchi, Chief Technology Officer @ Neosperience github.com/aletheia https://it.linkedin.com/in/lucabianchipavia @bianchiluca Alex Casalboni, Senior Software Engineer @ Cloud Academy github.com/alexcasalboni https://www.linkedin.com/in/alexcasalboni @alex_casalboni
- 2. Safe Harbor Topics and services discussed in this presentation come from statements made publicly by Amazon Web Services (AWS) during re:Invent 2016 conference and informal talks with AWS personnel. Additional information have been developed by presenters accordingly to publicly released material and does not represent official statement by any of the companies mentioned in this presentation. Logo trademarks of AWS services are property of Amazon Web Services. Serverless Meetup Italy is not related in any way to AWS neither has any partnership or contracts with Amazon Web Services but represents a non-profit, independent association of passionate people around Serverless technologies. Any of the statements in this presentation has been made accordingly to AWS Terms and Conditions.
- 3. CTO @ Neosperience Who am I? - Luca Bianchi Working on a lot of bleeding edge technologies. Passionate developer. Love writing code, not Powerpoints. The Neosperience Cloud • Software as a service cloud for Digital Customer Experience processes (couponing, gamification, proximity, etc.) • Completely built on AWS • Moved from VMWare, to EC2, to Elastic Beanstalk, to Lambda • Dozens of micro and nano services Neosperience The Digital Customer Experience Company, aims to change the way brands and customers interact with an approach of a software vendor targeting Digital Customer Experience as the evolution of Marketing automation.
- 4. Senior Software Engineer @ CloudAcademy Who am I? - Alex Casalboni Web developer, musician, traveler, JS & Python lover. All things ML, Big Data and Serverless. Cloud Academy The place to master Cloud Computing (AWS, Azure, GCP, etc.): online education and self-paced learning applied to the Cloud world. • Video courses • Quiz questions • Certification Prep • Hands-on Labs • Learning Paths
- 5. ✓ 29000 attendees ✓ The Venetian, The Mirage and The Wynn ✓ 400+ breakout sessions ✓ Sold out within 12 weeks re:Invent 2016
- 6. AWS Lambda A long awaited update of AWS Lambda finally came out a few weeks before re:Invent, adding support for ✓ Environment variables: variables can be defined either in console or through APIs and allow to set parameters (state) for Lambda functions independently from request context, but tied to execution context (such as Database Connection strings or Bucket names). Variables are versioned and secured bu KMS ✓ Dead Letter Queue: a SQS queue or a SNS topic can be provided to receive function event together with request id as soon as invocation an retry fail. U PD ATED
- 7. AWS Lambda An off-the-records talk with Tim Wagner, General Manager for AWS Lambda, spotted some upcoming interesting feature of Lambda in the next future: ✓ Go Language support: in an effort to widespread adoption of Lambda technology, AWS is planning to add support for Go language in the next few months (rumors say Q2 2017) ✓ NodeJS 6.9.0 (LTS): NodeJS developer needed support for modern and up to date version of Node language, so Node 6.0.0 LTS is coming within the next weeks (rumors say Q1 2017) thus enabling complete support to ES6 in Lambda ✓ SQS Lambda Triggers: a long awaited feature and the precursor to Messaging patterns within Lambda ecosystem is said to be announced in the near future U N O FFIC IAL
- 8. ✓ Provides coordination of (micro) services ✓ Built around the concept of task of state machine ✓ Handles state between different steps. State is external to functions and explicitly managed X Limited number of triggers X Limited Use Cases X Pricing AWS Step Functions N EW ! Coordinate multiple microservices with ease defining a state machine and describing transitions between states. Step Functions provides a graphical console and a custom Domain Specific Language (DSL) to describe coordination. Moreover Step Functions tracks every state change and manages the operations and underlying infrastructure for you to help ensure your application is available at any scale.
- 10. ✓ Open Specification ✓ Supported natively by CloudFormation (also through package and deploy) ✓ Ease of configuration for Serverless Applications X Writing Cloudformation is not easy (lack of debugging tools) X Stacks sometimes get stuck X No support by other providers than AWS (yet) Serverless Application Model (SAM) N EW ! A common language for describing Serverless Application. Announced last May with the code name of Flourish, now it has been released to its first production release. Can be used to describe and package serverless applications, relying on opinionated standard API Gateway —> Lambda configuration
- 12. ✓ Fully managed ✓ Supports multiple stages of configuration ✓ Scales up with your projects ✓ Supports docker images as environment X Supports only Linux OS X Slower thank equivalent EC2 Gitlab runner X Costs 12 times an equivalent EC2 instance Amazon CodeBuild N EW ! A fully managed build service that compiles source code and runs tests following agile specifications through buildspec.yaml configuration file (similar to travisCI and Gitlab). Build processes scalability is handled automatically as well as security.
- 14. Serverless Application Model Code Commit / Github repository Code Pipeline Serverless CI/CD pipeline U PD ATED ✓ Does not require external frameworks ✓ Managed by AWS, triggered by Git commits ✓ Highly customizable ✓ Cost Effective (1$/pipeline + 0.005$/minute) X Still cumbersome to configure X Pipeline debugging is a pain X Bound to AWS
- 15. ✓ Runs Lambda functions locally ✓ Offline support (seamless invocation) ✓ Data synchronization ? Supported languages ? Connection to cloud services ? Interaction with MQTT IoT endpoints AWS Greengrass N EW ! Run local compute, messaging & data caching for connected devices in a secure way. Run AWS functions locally, keep device data in sync and communicate with other devices even offline. Deploy and update Greengrass functions directly from the cloud. PR EVIEW
- 16. ✓ A tons of use cases: ✓ conditional caching ✓ request/response manipulation (decoration) ✓ URL rewriting ✓ A/B testing ✓ Offline support ✓ Data synchronization ? Asynchronous requests implementation (reactive) ? Can invoke remote Lambda? AWS Lambda@Edge N EW ! Run Lambda functions at the AWS Edge locations in response to CloudFront events, without provisioning or managing servers, by using the AWS Lambda serverless programming model PR EVIEW
- 17. ✓ Fully managed ✓ Implement state of the art Vision algorithm with very high accuracy ✓ 100% rotation invariant ✓ Image labels constantly grows ✓ Data is not stored by AWS (privacy guaranteed) Amazon Rekognition N EW ! A set of Image analysis services capable to empower client applications and serverless through vision techniques. AWS Rekognition can provide a number of services such as: Image feature extraction Face recognition Face detection (search)
- 18. ✓ High accuracy ✓ Speech-to-text support ✓ Fully integrated with Lambda ? Language support (currently English only) Amazon Lex N EW ! A service providing speech recognition and Natural Language Understanding. AWS released the engine inside Amazon Alexa to increase integration from Skillsets to a fully conversational programming model. Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text. PR EVIEW
- 19. Amazon Lex - chatbots
- 20. What’s coming next AWS X-Ray AWS Glue Amazon Athena Amazon Pinpoint AWS Shield AWS Batch
- 21. www.neosperience.com | blog.neosperience.com | info@neosperience.com Slides available at http://bit.ly/sls-ita-20170112