DevOps at Amazon: A Look at Our Tools and Processes by Matthew Trescot, Manager, Solutions Architecture, AWS

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Matthew Trescot discusses DevOps and new AWS developer tools. He explains that DevOps aims to speed up the software development lifecycle through efficiencies. AWS has adopted microservices and continuous delivery to deploy code 50 million times per year across thousands of teams. The new AWS Code services - CodeCommit, CodePipeline, and CodeDeploy - help automate deployments and release processes. CodeCommit provides version control, CodePipeline builds pipelines, and CodeDeploy automates deployments.

© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Matthew Trescot, Manager Solutions Architecture
Introduction to DevOps
and the AWS Developer Tools

What we'll cover
The Amazon DevOps story
Q & A
New AWS developer tools
AWS CodeCommit AWS CodePipeline AWS CodeDeploy

What is DevOps?
DevOps = efficiencies that speed up this lifecycle
developers customers
releasetestbuild
plan monitor
delivery pipeline
feedback loop
Software development lifecycle

©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved
The Amazon DevOps story

Monolith development lifecycle
developers
releasetestbuild
delivery pipelineapp

Decoupled architecture
Single-purpose services
Connected only by APIs
No shared data
“Microservices”

Two-pizza teams
Full ownership
Full accountability
Aligned incentives
“DevOps”

Missing tools
developers delivery pipelineservices
???

Self-service
Technology-agnostic
Encourage best
practices
Single-purpose services

Microservice development lifecycle
developers delivery pipelinesservices
releasetestbuild
releasetestbuild
releasetestbuild
releasetestbuild
releasetestbuild
releasetestbuild

= 50 million deployments a year
Thousands of teams
× Microservice architecture
× Continuous delivery
× Multiple environments

Discipline
Culture
Operations
Architecture
Process

Architecture
Not everything is a microservice
Don't break API compatibility

Operations
Automate all changes
Deploy gradually and monitor everything

Process
Weekly metrics reviews
Bar raisers

©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved
AWS Code Services

version
Setting up a continuous delivery pipeline
Testing Staging Production
deploy
deploy
deploy
Source Build
release
AWS CodeDeploy
AWS CodePipeline
AWS
CodeCommit

AWS CodeDeploy
Easy and reliable deployments
Scale with ease
Deploy to any server
Test
CodeDeployv1, v2, v3
Production
Dev
application
revisions
deployment groups

AWS CodePipeline
Connect to best-of-breed tools
Accelerate your release process
Consistently verify each release
Build
1) Build
2) Unit test
1) Deploy
2) UI test
Source Beta Production
1) Deploy
2) Perf test
Gamma
1) Deploy canary
2) Deploy region 1
3) Deploy region 2
1) Pull

AWS CodeCommit
Use standard Git tools
Scalability, availability, and durability of Amazon S3
Encryption at rest with customer-specific keys
git pull/push CodeCommit
Git objects in
Amazon S3
Git index in
Amazon
DynamoDB
Encryption key
in AWS KMS
SSH or HTTPS

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

Image attribution
https://www.flickr.com/photos/tadekk/2476423387/
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https://www.flickr.com/photos/frostyone1/4415746604/
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https://www.flickr.com/photos/dullhunk/202872717/
https://www.flickr.com/photos/stevendepolo/5749192025/
https://www.flickr.com/photos/jurvetson/5201796697/
https://www.flickr.com/photos/theredproject/3302110152/

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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.

Esegui pod serverless con Amazon EKS e AWS Fargate

Amazon Web Services

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

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Amazon Web Services

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!

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Amazon Web Services

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

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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.

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Amazon 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.

Computer Vision con AWS

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Database Oracle e VMware Cloud on AWS i miti da sfatare

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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 NodeJS

Amazon 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.

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Amazon Web Services

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 sfatare

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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.

Tools for building your MVP on AWS

Amazon Web Services

1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS). 2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels. 3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.

How to Build a Winning Pitch Deck

Amazon Web Services

This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.

Building a web application without servers

Amazon Web Services

This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.

Fundraising Essentials

Amazon Web Services

This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Amazon Web Services

This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.

Introduzione a Amazon Elastic Container Service

Amazon Web Services

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.

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2. What we'll cover The Amazon DevOps story Q & A New AWS developer tools AWS CodeCommit AWS CodePipeline AWS CodeDeploy

3. What is DevOps? DevOps = efficiencies that speed up this lifecycle developers customers releasetestbuild plan monitor delivery pipeline feedback loop Software development lifecycle

6. Monolith development lifecycle developers releasetestbuild delivery pipelineapp

7. Get small again

8. Decoupled architecture Single-purpose services Connected only by APIs No shared data “Microservices”

9. Two-pizza teams Full ownership Full accountability Aligned incentives “DevOps”

10. Missing tools developers delivery pipelineservices ???

11. Self-service Technology-agnostic Encourage best practices Single-purpose services

12. Microservice development lifecycle developers delivery pipelinesservices releasetestbuild releasetestbuild releasetestbuild releasetestbuild releasetestbuild releasetestbuild

13. = 50 million deployments a year Thousands of teams × Microservice architecture × Continuous delivery × Multiple environments

14. Is this safe?

15. Discipline Culture Operations Architecture Process

16. Culture Ownership Customer obsession

17. Architecture Not everything is a microservice Don't break API compatibility

18. Operations Automate all changes Deploy gradually and monitor everything

19. Process Weekly metrics reviews Bar raisers

20. ?

21. Where do you ?

22. Be really good at continuous delivery

24. version Setting up a continuous delivery pipeline Testing Staging Production deploy deploy deploy Source Build release AWS CodeDeploy AWS CodePipeline AWS CodeCommit

25. Automate your deployments

26. AWS CodeDeploy Easy and reliable deployments Scale with ease Deploy to any server Test CodeDeployv1, v2, v3 Production Dev application revisions deployment groups

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29. Version your releases

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31. 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

32. AWS Code integrated partners

33. AWS DevOps consulting partners

34. AWS Code featured customers

35. Matthew Trescot mtrescot@amazon.com

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