AWS Code services help developers automate the software development lifecycle from source code management to deployment. CodeCommit provides version control, CodeBuild compiles source code and runs tests, and CodeDeploy automates code deployments. CodePipeline orchestrates builds and deployments by modeling software release processes. These services integrate with third party tools and help accelerate software delivery through continuous integration and delivery practices.
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Introduction to CNI (Container Network Interface)HungWei Chiu
A brief introduction to the CNI (Container Network Interface), the implementation of docker bridge network and the CNI usage, including why we develop the CNI, how to use the CNI and what is CNI.
We also introduction the pause container the kubernetes PoD and how to use the CNI in the kubernetes.
In the end, we use the flannel as an example to show how to install the CNI into your kubernetes cluster
네이버클라우드플랫폼의 인프라를 편히 관리할 수 있는 네이버클라우드플랫폼의 CLI의 구조와 사용법에 대해서 간략히 소개합니다. | A brief introduction to the structure and usage of the CLI of the Naver Cloud Platform, which enables easy management of the infrastructure of the Naver Cloud Platform.
[Open Infrastructure & Cloud Native Days Korea 2019]
커뮤니티 버전의 OpenStack 과 Ceph를 활용하여 대고객서비스를 구축한 사례를 공유합니다. 유연성을 확보한 기업용 클라우드 서비스 구축 사례와 높은 수준의 보안을 요구하는 거래소 서비스를 구축, 운영한 사례를 소개합니다. 또한 이 프로젝트에 사용된 기술 스택 및 장애 해결사례와 최적화 방안을 소개합니다. 오픈스택은 역시 오픈소스컨설팅입니다.
#openstack #ceph #openinfraday #cloudnative #opensourceconsulting
ENT201 A Tale of Two Pizzas: Accelerating Software Delivery with AWS Develope...Amazon Web Services
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practice.
ENT201 A Tale of Two Pizzas: Accelerating Software Delivery with AWS Develope...Amazon Web Services
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practice.
Introduction to CNI (Container Network Interface)HungWei Chiu
A brief introduction to the CNI (Container Network Interface), the implementation of docker bridge network and the CNI usage, including why we develop the CNI, how to use the CNI and what is CNI.
We also introduction the pause container the kubernetes PoD and how to use the CNI in the kubernetes.
In the end, we use the flannel as an example to show how to install the CNI into your kubernetes cluster
네이버클라우드플랫폼의 인프라를 편히 관리할 수 있는 네이버클라우드플랫폼의 CLI의 구조와 사용법에 대해서 간략히 소개합니다. | A brief introduction to the structure and usage of the CLI of the Naver Cloud Platform, which enables easy management of the infrastructure of the Naver Cloud Platform.
[Open Infrastructure & Cloud Native Days Korea 2019]
커뮤니티 버전의 OpenStack 과 Ceph를 활용하여 대고객서비스를 구축한 사례를 공유합니다. 유연성을 확보한 기업용 클라우드 서비스 구축 사례와 높은 수준의 보안을 요구하는 거래소 서비스를 구축, 운영한 사례를 소개합니다. 또한 이 프로젝트에 사용된 기술 스택 및 장애 해결사례와 최적화 방안을 소개합니다. 오픈스택은 역시 오픈소스컨설팅입니다.
#openstack #ceph #openinfraday #cloudnative #opensourceconsulting
ENT201 A Tale of Two Pizzas: Accelerating Software Delivery with AWS Develope...Amazon Web Services
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practice.
ENT201 A Tale of Two Pizzas: Accelerating Software Delivery with AWS Develope...Amazon Web Services
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you begin your DevOps journey by sharing best practices and tools by the "two pizza" engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. We will also cover an introduction to AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, the services inspired by Amazon's internal devloper tools and DevOps practice.
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high quality software at a fast pace. In this session, we cover how you can begin your DevOps journey by sharing best practices and tools used by engineering teams at Amazon. We showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. In addition, we introduce AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray, the services inspired by Amazon's internal developer tools and DevOps practices.
DevOps Day at the San Francisco Loft: DevOps on AWS
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Level: 200
Speaker: Sam Hennessy - Solutions Architect, AWS
Announcing AWS CodeBuild - January 2017 Online Teck TalksAmazon Web Services
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous integration and delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using a set of application lifecycle management tools from AWS: the newly announced AWS CodeBuild service, AWS CodePipeline, and AWS CodeDeploy.
Learning Objectives:
• Understand the concepts of DevOps, continuous integration, and continuous delivery
• Learn about Amazon’s DevOps practices
• Hear an overview of how to build a continuous integration and continuous delivery workflow using the combination of CodeBuild, CodePipeline, and CodeDeploy
by Nick Brandaleone, Solutions Architect AWS
Join us to learn about continuous integration, continuous delivery, and DevOps. The AWS Developer Tools have been designed based on the tools used by Amazon engineers to rapidly and reliably deliver products and features to customers. We’ll provide overviews of the services and best practices followed by a hands-on workshop to help you learn how to automate your software release processes, deploy application code, and monitor your application and infrastructure performance.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer ToolsAmazon Web Services
Today’s cutting-edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes that Amazon’s engineers use to practice DevOps and discuss how you can bring these processes to your company by using a new set of AWS tools (AWS CodePipeline and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.
Dev Ops on AWS - Accelerating Software Delivery - AWS-Summit SG 2017Amazon Web Services
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
DevOps on Windows: How to Deploy Complex Windows Workloads | AWS Public Secto...Amazon Web Services
In this session, you will learn how to deploy complex Windows workloads and ways AWS CloudFormation, AWS OpsWorks, and AWS CodeDeploy enable you to automate your Windows application life-cycle management. We will also discuss the monitoring, logging, and automatically scaling of Windows applications. Learn More: https://aws.amazon.com/government-education/
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
We'll show you how to take your application and launch it quickly on a variety of AWS infrastructure. You'll learn how to leverage CodeStar, CodeBuild, CodeDeploy, and Cloud9 to provide your startup with reliable, flexible, and cost efficient build pipelines in minutes. This will set your technical teams up for faster deploys and consistent development environments allowing you to focus on your product, not your deployment process. This is a key pain point for early stage startups, learn how to solve it before it starts to impact your team's productivity.
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous integration and delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using a set of application lifecycle management tools from AWS: the newly announced AWS CodeBuild service, AWS CodePipeline, and AWS CodeDeploy.
As software teams transition to cloud-based architectures and adopt more agile processes, the tools they need to support their development cycles will change. In this session, we'll take you through the transition that Amazon made to a service-oriented architecture over a decade ago. We will share the lessons we learned, the processes we adopted, and the tools we built to increase both our agility and reliability. We will also introduce you to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps experience.
Presented by: Mohammad Nofal, Technical Account Manager, Amazon Web Services
Customer Guest: Micha Hernandez van Leuffen, Founder and CEO, Wercker
Similar to A Tale of Two Pizzas: Accelerating Software Delivery with AWS Developer Tools (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
12. DevOps Practices
• Monitoring and Logging
• Track and analyze metrics and logs
• Understand real-time performance of
infrastructure and application
16. Things went much
better under this
model and teams
were releasing faster
than ever, but we felt
that we could still
improve.
17. In 2009, we
ran a study to
find out where
inefficiencies
might still exist
18. We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
19. We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
Mins Days Mins Days Mins Days Mins
20. We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
Weeks
Mins Days Mins Days Mins Days Mins
21. We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
Weeks
Mins Days Mins Days Mins Days Mins
22. We built tools to
automate our software
release process
https://secure.flickr.com/photos/lindseygee/5894617854/
23. Automated actions and
transitions; from check-
in to production
Development benefits:
• Faster
• Safer
• Simplification &
standardization
• Visualization of the
process
Pipelines
24. This has continued to work out really well:
In 2014:
• Thousands of service teams across Amazon
• Building microservices
• Practicing continuous delivery
• Many environments (staging, beta, production)
50 million deploys
25. This has continued to work out really well:
Every year at Amazon, we perform a survey of all our
software developers. The 2014 results found only one
development tool/service could be correlated statistically
with happier developers:
Our pipelines service!
continuous delivery == happier developers!
27. • Integration
tests with
other systems
• Load testing
• UI tests
• Penetration
testing
Release processes have four major phases
Source Build Test Production
• Check-in
source code
such as .java
files.
• Peer review
new code
• Compile code
• Unit tests
• Style checkers
• Code metrics
• Create
container
images
• Deployment
to production
environments
35. Source Build Test Production
Third Party
Tooling
AWS CodeCommit AWS CodeBuild AWS CodeDeploy
AWS CodePipeline
AWS Code Services
Software Release Steps:
36. AWS Code Services
Source Build Test Production
Third Party
Tooling
Software Release Steps:
AWS CodeCommit AWS CodeBuild AWS CodeDeploy
AWS CodePipeline
AWS CodeStar
37. Amazon CloudWatch
AWS CloudTrail
Monitoring
& Logging
AWS DevOps Portfolio
AWS CodeCommit
AWS CodeDeploy
AWS CodePipeline
Software Development and
Continuous Delivery Toolchain
AWS CloudFormation
AWS OpsWorks
AWS Config
Infrastructure
as Code
AWS CodeBuild
AWS CodeStar
AWS OpsWorks for
Chef Automate
AWS X-Ray
38. Build & test your
application
https://secure.flickr.com/photos/spenceyc/7481166880
39. Fully managed build service that compiles source code,
runs tests, and produces software packages
Scales continuously and processes multiple builds
concurrently
You can provide custom build environments suited to
your needs via Docker images
Only pay by the minute for the compute resources you
use
Launched with CodePipeline and Jenkins integration
AWS CodeBuild
40. How does it work?
1. Downloads source code
2. Executes commands configured in the buildspec in
temporary compute containers (created fresh on every
build)
3. Streams the build output to the service console and
CloudWatch logs
4. Uploads the generated artifact to an S3 bucket
41. How can I automate my release process with CodeBuild?
• Integrated with AWS CodePipeline for CI/CD
• Easily pluggable (API/CLI driven)
• Bring your own build environments
• Create Docker images containing tools you need
• Open source Jenkins plugin
• Use CodeBuild as the workers off of a Jenkins master
42. buildspec.yml Example
version: 0.1
environment_variables:
plaintext:
JAVA_HOME: "/usr/lib/jvm/java-8-openjdk-amd64"
phases:
install:
commands:
- apt-get update -y
- apt-get install -y maven
pre_build:
commands:
- echo Nothing to do in the pre_build phase...
build:
commands:
- echo Build started on `date`
- mvn install
post_build:
commands:
- echo Build completed on `date`
artifacts:
type: zip
files:
- target/messageUtil-1.0.jar
discard-paths: yes
43. buildspec.yml Example
version: 0.1
environment_variables:
plaintext:
JAVA_HOME: "/usr/lib/jvm/java-8-openjdk-amd64"
phases:
install:
commands:
- apt-get update -y
- apt-get install -y maven
pre_build:
commands:
- echo Nothing to do in the pre_build phase...
build:
commands:
- echo Build started on `date`
- mvn install
post_build:
commands:
- echo Build completed on `date`
artifacts:
type: zip
files:
- target/messageUtil-1.0.jar
discard-paths: yes
• Variables to be used by phases of
build
• Examples for what you can do in
the phases of a build:
• You can install packages or run
commands to prepare your
environment in ”install”.
• Run syntax checking,
commands in “pre_build”.
• Execute your build
tool/command in “build”
• Test your app further or ship a
container image to a repository
in post_build
• Create and store an artifact in S3
44. Building Your Code
“Building” code typically refers to languages that
require compiled binaries:
• .NET languages: C#, F#, VB.net, etc.
• Java and JVM languages: Java, Scala,
JRuby
• Go
• iOS languages: Swift, Objective-C
We also refer to the process of creating Docker
container images as “building” the image. EC2
45. No Building Required!
Many languages don’t require building. These
are considered interpreted languages:
• PHP
• Ruby
• Python
• Node.js
You can just deploy your code!
EC2
46. Testing Your Code
Testing is both a science and an art form!
Goals for testing your code:
• Want to confirm desired functionality
• Catch programming syntax errors
• Standardize code patterns and format
• Reduce bugs due to non-desired application
usage and logic failures
• Make applications more secure
48. What service and release step corresponds with which tests?
UI
Service
Unit
Third Party
Tooling
AWS CodeBuild
BuildTest
49. Pricing
• Pay by the Minute
• Three compute types differentiated by the amount of
memory and CPU resources:
• Free tier of 100 build minutes
Compute instance type Memory (GB) vCPU Price per build minute ($)
build.general1.small 3 2 0.005
build.general1.medium 7 4 0.010
build.general1.large 15 8 0.020
*As of January 20 2017
51. Automates code deployments to any instance
Handles the complexity of updating your
applications
Avoid downtime during application deployment
Rollback automatically if failure detected
Deploy to Amazon EC2 or on-premises
servers, in any language and on any operating
system
Integrates with third-party tools and AWS
AWS CodeDeploy
53. appspec.yml Example
version: 0.0
os: linux
files:
- source: /
destination: /var/www/html
permissions:
- object: /var/www/html
pattern: “*.html”
owner: root
group: root
mode: 755
hooks:
ApplicationStop:
- location: scripts/deregister_from_elb.sh
BeforeInstall:
- location: scripts/install_dependencies.sh
ApplicationStart:
- location: scripts/start_httpd.sh
ValidateService:
- location: scripts/test_site.sh
- location: scripts/register_with_elb.sh
• Remove/add instance to ELB
• Install dependency packages
• Start Apache
• Confirm successful deploy
• More!
• Send application files to one
directory and configuration
files to another
• Set specific permissions on
specific directories & files
54. v2 v2 v2 v2 v2 v2
one at a time
half at a time
all at once
v2 v2 v2 v1 v1 v1
v2 v1 v1 v1 v1 v1 Agent Agent
Dev Deployment group
OR
Prod Deployment group
Agent
AgentAgent
Agent Agent
Agent
Choose Deployment Speed and Group
56. Continuous delivery service for fast and
reliable application updates
Model and visualize your software release
process
Builds, tests, and deploys your code every time
there is a code change
Integrates with third-party tools and AWS
AWS CodePipeline
61. Secure, scalable, and managed Git source
control
Use standard Git tools
Scalability, availability, and durability of
Amazon S3
Encryption at rest with customer-specific keys
No repo size limit
Post commit hooks to call out to SNS/Lambda
AWS CodeCommit
62. Source control in the cloud
Secure Fully
managed
High
availability
Store
anything
63. AWS CodeCommit
git pull/push CodeCommit
Git objects in
Amazon S3
Git index in
Amazon
DynamoDB
Encryption key
in AWS KMS
SSH or HTTPS
65. Pricing
CodeCommit
$1 per active user per month (first 5 users free)
CodePipeline
$1 per active pipeline per month (first 1 free)
CodeDeploy
Free to deploy to Amazon EC2
$0.02 per update to on-prem server
CodeBuild
Compute Instance
Type
Memory(GB) vCPU Price per build minute
($)
Small 3 2 0.005
Medium 7 4 0.010
Large 15 8 0.020
66. Introducing: AWS CodeStar
Quickly develop, build, and deploy applications on AWS
Start developing on AWS in minutes
Work across your team, securely
Manage software delivery easily
Choose from a variety of project templates
76. General Best Practices used by Amazon Developers
CI/CD is a MUST!
Everything that is code (application, infrastructure,
documentation) goes into a repository
Start with continuous delivery (“gated” promotion)
and build up to continuous deployment once
evidence of a high-level of excellence in testing is
clear
Deploy to canaries, test, deploy to an AZ, test,
deploy to a Region, test
77. General Best Practices used by Amazon Developers (contd.)
Code Reviews are one of the best mechanisms for
“good” code:
• Does this code look clean and can someone else
understand it?
• Is the design of it meeting the expectations of its needs?
Style checkers
• Will someone else in the company be able to
update/fix/maintain this code?
Auto-rollbacks can be the quickest recovery
mechanism after failure
• Rollback first, then debug what went wrong with
logs/graphs/etc.
81. Demo:
1. Start with a repository (github.com/awslabs/aws-
codedeploy-sample-tomcat)
2. Add buildspec.yml
3. Create CodePipeline pipeline with a Source and Build
stage
4. Do a build
5. Add a deploy stage
6. Do a full execution of the pipeline
82.
83.
84.
85.
86.
87.
88.
89.
90.
91.
92. Demo:
Start with a repository (github.com/awslabs/aws-
codedeploy-sample-tomcat)
Add buildspec.yml
Create CodePipeline pipeline with a Source and Build
stage
Do a build
• Add a deploy stage
• Do a full execution of the pipeline
93.
94.
95.
96.
97.
98. Demo:
Start with a repository (github.com/awslabs/aws-
codedeploy-sample-tomcat)
Add buildspec.yml
Create CodePipeline pipeline with a Source and Build
stage
Do a build
Add a deploy stage
Do a full execution of the pipeline
99. General Best Practices used by Amazon Developers
• CI/CD is a MUST!
• Commit frequently
• Builds on every commit
• Build once in a given execution flow
• Deploy to a running environment for further testing
100. General Best Practices used by Amazon Developers
• CI/CD is a MUST!
• Commit frequently
• Builds on every commit
• Build once in a given execution flow
• Deploy to a running environment for further testing
• Everything that is code (application, infrastructure, documentation)
goes into a repository
• If its not in a repository, it doesn’t go into Production environments!
101. General Best Practices used by Amazon Developers
• CI/CD is a MUST!
• Commit frequently
• Builds on every commit
• Build once in a given execution flow
• Deploy to a running environment for further testing
• Everything that is code (application, infrastructure, documentation)
goes into a repository
• If its not in a repository, it doesn’t go into production environments!
• Start with continuous delivery (“gated” promotion) and build up to
continuous deployment once evidence of a high-level of excellence in
testing is clear
102. General Best Practices used by Amazon Developers
• CI/CD is a MUST!
• Commit frequently
• Builds on every commit
• Build once in a given execution flow
• Deploy to a running environment for further testing
• Everything that is code (application, infrastructure, documentation)
goes into a repository
• If its not in a repository, it doesn’t go into production environments!
• Start with continuous delivery (“gated” promotion) and build up to
continuous deployment once evidence of a high-level of excellence in
testing is clear
• Deploy to canaries, test, deploy to an AZ, test, deploy to a Region,
test
103. General Best Practices used by Amazon Developers (cont.)
• Code Reviews are one of the best mechanisms for “good” code:
• Does this code look clean and can someone else understand it?
• Is the design of it meeting the expectations of its needs?
• Are there better/easier ways to do this same thing?
104. General Best Practices used by Amazon Developers (cont.)
• Code Reviews are one of the best mechanisms for “good” code:
• Does this code look clean and can someone else understand it?
• Is the design of it meeting the expectations of its needs?
• Are there better/easier ways to do this same thing?
• Style checkers
• Will someone else in the company be able to update/fix/maintain this code?
105. General Best Practices used by Amazon Developers (cont.)
• Code Reviews are one of the best mechanisms for “good” code:
• Does this code look clean and can someone else understand it?
• Is the design of it meeting the expectations of its needs?
• Are there better/easier ways to do this same thing?
• Style checkers
• Will someone else in the company be able to update/fix/maintain this code?
• Auto-rollbacks can be the quickest recovery mechanism after failure
• Rollback first, then debug what went wrong with logs/graphs/etc.
106. General Best Practices used by Amazon Developers (cont.)
• Code Reviews are one of the best mechanisms for “good” code:
• Does this code look clean and can someone else understand it?
• Is the design of it meeting the expectations of its needs?
• Are there better/easier ways to do this same thing?
• Style checkers
• Will someone else in the company be able to update/fix/maintain this code?
• Auto-rollbacks can be the quickest recovery mechanism after failure
• Rollback first, then debug what went wrong with logs/graphs/etc.
• Thorough dashboards
• What is happening now?
• What ”normal” looks like typically over some period of time?
• What do I do if this graph looks wrong/an alarm has been triggered?
• What events can I correlate with a move in a graph?
107. Code* Tips and Tricks
• All Code* products can(and should) be provisioned and managed
with AWS CloudFormation!
• You could literally store the CloudFormation templates that provision
your Code* resources in CodeCommit and update them via
CodePipeline (It’s like Code* Inception!)
• Deep integration with IAM. You can assign permissions on who can
commit code, approve manual approvals, deploy to certain
deployment groups and more!
• Integrate with AWS Lambda to do almost anything:
• CodeCommit has Repository Triggers
• CodeDeploy has Event Notifications
• CodePipeline has native Lambda invoke
AWS CodePipeline AWS CodeCommit AWS CodeBuildAWS CodeDeploy