Introduc)on  to  the  Serverless  Paradigm

cloudacademy.com6/27/2016

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About  us

Alex  CasalboniSenior  So3ware  Engineer  &

@alex_casalboni

Austen  CollinsFounder  @  serverless.com

@austencollins

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AWS  Community  HeroCloud  Evangelist  @  Cloud  Academy

CharacterisHcs  of  Serverless  CompuHng

Zero-­‐administra)on

Pay-­‐per-­‐execu)on

Event-­‐driven

Microservice  oriented

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Func)on  as  the  unit  of  scale

Myth  #1:  #NoServers

There is always a server somewhere,you just don't have to worry about it!

FaaS  sounds  beDer?

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“there  are  no  servers  anymore”

(Func)on  as  a  Service)

Myth  #2:  #NoOps

You will always need operations. Maybe not a DevOps team anymore. Devs should own their services.

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“opera4ons  are  not  required”

Myth  #3:  #NoDevs

3rd party APIs are nothing new. Outsourcing makes development faster, but you can always BYOC.

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“you  just  don’t  write  any  code”

Microservice  Principles

Design  domain-­‐driven  services

Always  hide  implementa)on  details

Decentraliza)on  is  key

Achieve  failure  isola)on

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Automate  and  deploy  oNen  (CD/CI)

AWS  Lambda

Transparent  scalability,  elas)city  and  availability

Developer-­‐friendly  opera)ons  (versions  +  aliases)

AWS  Lambda

Na)ve  integra)ons  with  (almost)  everything  in  AWS

Event-­‐driven  approach

Never  pay  for  idle

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AWS  Lambda  +  API  Gateway  =  RESTful

+Amazon  API  Gateway

AWS  Lambda

RESTful  layer  (JSON/XML)

Auth  layer  (SSL,  API  keys,  IAM  or  custom)

Global  CDN  and  caching  (via  CloudFront)

Logging,  throDling  &  staging  for  free

Input/output  params  mapping  (VTL)

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AWS  Lambda  Use  Cases  (Event  Sources)

Amazon  S3

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Amazon  Kinesis

Amazon  DynamoDB AWS  CloudTrail

Amazon  SNS Amazon  SES

AWS  CloudForma)on

Amazon  Cognito Amazon  SWF

AWS  IoT AWS  CodePipeline Scheduled

AWS  Lambda  LimitaHons

Cold  start  issue

Dependencies  management

AWS  Lambda

Deployment  package  size  &  local  storage

Max  5  min  execu)on

RAM,  CPU  &  Network  configura)on

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AWS  Lambda  RunHme  Environments

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Node.js  0.10 Node.js  4.3  (ES6)

Python  2.7Java  8

AWS  Lambda  OrganizaHonal  Pa`erns

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1.  Nanoservice  Pa`ern

1  func)on  =  1  single  job

least  amount  of  code  possible

easiest  to  debug

a  lot  of  Lambda  func)ons

AWS  Lambda  OrganizaHonal  Pa`erns

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2.  Microservice  Pa`ern

1  func)on  =  a  few  related  jobs  (e.g.  CRUD)

more  code  than  nanoservices

reduced  number  of  func)ons

reduced  “cold-­‐start”  impact

AWS  Lambda  OrganizaHonal  Pa`erns

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3.  New  Monolithic  Pa`ern

only  1  func)on  +  GraphQL

least  amount  of  API  endpoints

async  addi)onal  business  logic

almost  no  “cold-­‐start”

+

The  Serverless  Ecosystem

AWS  Lambda

MicrosoN  Azure  Func)ons

Google  Cloud  Func)ons

IBM  Bluemix  OpenWhisk

hook.io

Cloud  Plaaorms FuncHon  as  a  Service

webtask.ioiron.io

Auth0  (SSO)

Misc

Firebase  (DB)

weblab.io

Algolia  (Search)

Netlify  (CDN)

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Serverless.comAusten  Collins,  Founder

6/27/2016 clda.co/webinar-serverless

Thank  you  for  a`ending  :)

cloudacademy.com

Q  &  A

6/27/2016