This document provides an overview of serverless computing on AWS and how to build and deploy serverless applications. It discusses what serverless computing is, common use cases, serverless patterns using AWS Lambda and Amazon API Gateway, examples of what customers are building, and how to do safe deployments of serverless apps using the AWS Serverless Application Model and AWS CodeDeploy.
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Presentation from the developer track at I Love APIs London 2016 featuring Matt McClean, Amazon Web Services.
Developers have been jumping on the microservices bandwagon because of the obvious benefits of faster release cycles and innovation. However, microservices' downside is the increased server costs, operational costs, and performance costs. To reduce this complexity, Amazon Web Services created AWS Lambda - a compute platform that lets you build microservices with no provisioning and servers.
Matt McClean, Solution Architect from AWS, presents how to use AWS Lambda to build your microservices. He covers various architectural patterns and anti-patterns for using AWS Lambda.
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Presentation from the developer track at I Love APIs London 2016 featuring Matt McClean, Amazon Web Services.
Developers have been jumping on the microservices bandwagon because of the obvious benefits of faster release cycles and innovation. However, microservices' downside is the increased server costs, operational costs, and performance costs. To reduce this complexity, Amazon Web Services created AWS Lambda - a compute platform that lets you build microservices with no provisioning and servers.
Matt McClean, Solution Architect from AWS, presents how to use AWS Lambda to build your microservices. He covers various architectural patterns and anti-patterns for using AWS Lambda.
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Deep Dive on Serverless Web Applications - AWS May 2016 Webinar SeriesAmazon Web Services
Serverless architectures involve building applications and services with infrastructure resources that require zero administration. When building and operating web applications, you have to provision and manage servers to run your application code, install and operate distributed databases, and scale servers to handle API requests. AWS provides you a stack of scalable, fully-managed services that eliminates these operational complexities.
In this session, we will briefly review how you can build web applications using a serverless architecture. We will run through a demo of setting up a simple serverless blogging web application that allows user authentication and the ability to create posts and comments. We will dive into the details of how AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon Cognito are used in each component of the web application.
Learning Objectives:
• Review components and benefit of serverless architectures
• Learn how to build a serverless blogging web application
AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda.
To know more please visit https://www.whizlabs.com/blog/aws-lambda-documentation/
Security Best Practices for Serverless Applications - July 2017 AWS Online T...Amazon Web Services
Learning Objectives:
- Learn security best practices for AWS Lambda and Amazon API Gateway
- Understand how to use Amazon Cognito to build identity and authentication features into serverless applications
- Learn identity and access management best practices for serverless applications
Securely building and deploying serverless applications requires cloud-native security best practices. In this talk, you will learn how to use AWS Lambda permissions and how to easily set up authentication and authorization for Amazon API Gateway. We will also cover how you can use Amazon Cognito for end user authentication and authorization. You'll also learn how to securely store your application secrets with AWS. This talk also discusses how to implement identity and access management best practices.
Build and run applications without thinking about serversAmazon Web Services
Organizations need to gain insight and knowledge from a growing number of Internet of Things (IoT) APIs clickstreams comprised of unstructured and log data sources. However, organizations are often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we’ll introduce the key ETL features of AWS Glue through use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We’ll also discuss how to build scalable, efficient and serverless ETL pipelines using AWS Glue.
Learn about what a serverless architecture is, why they are growing in popularity, and who the key players are in a serverless API build on the AWS platform. Then get started building your own servless API!
NEW LAUNCH! Enhance Your Mobile Apps with AI Using Amazon LexAmazon Web Services
Amazon Echo and Alexa have shown that voice interfaces provide significant benefits to users – interactions are easy, fast, and context-driven. In this hands-on session, you’ll see how to add compelling voice and chat interfaces to your mobile apps, using Amazon Lex for processing conversations and triggering corresponding actions in your backend systems, all without having to manage any infrastructure. You’ll leave knowing how to build apps that can “Find me a nearby hotel” or “Reorder supplies for the copier”.
Building API-Driven Microservices with Amazon API Gateway - AWS Online Tech T...Amazon Web Services
Learning Objectives:
- Learn patterns for building APIs for various backend technologies
- Learn how to secure your APIs
- Learn how to handle updates, versioning, and environments using Amazon API Gateway
This presentation will give information about What is Serverless? What service is exposed by AWS to support Function as a Service. Lambda is AWS service which support serverless.
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
Real-world development Decomposing a serverless skills-based routing application on AWS
Presenter: Adam Larter, Principal Solutions Architect, Developer Specialist
AWS August Webinar Series - Building Serverless Backends with AWS Lambda and ...Amazon Web Services
AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you. Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale.
This webinar will familiarize you with the basics of AWS Lambda and Amazon API Gateway and demonstrate how to build web, mobile, and IoT backends using these services. You will learn how to setup API endpoints that trigger AWS Lambda functions to handle mobile, web, IoT, and 3rd party API requests. You will also learn how to use Lambda to read and write to DynamoDB.
Learning Objectives:
Understand key AWS Lambda and Amazon API Gateway features
Learn how to set up a serverless backend using Amazon API Gateway and AWS Lambda
Explore sample use cases, best practices and tips on using AWS Lambda with Amazon API Gateway
‘Serverless’ is a term that has gained popularity in recent times, among the biggest tech industries. Serverless computing will allow you to fulfill the requirements and keep your business processes on track and your consumers happy and updated. To know more visit https://bit.ly/2Xo6TRh.
#serverlesscomputing, #serverlessarchitecture, #cloudcomputing, #awsserverless, #serverlessaws, #serverlesscomputingfaas, #azureserverlesscomputing, #learnserverlesscomputing, #awslambdaserverlesscomputing, #serverlessbasics, #azureserverless, #serverlessframework
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Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this session, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started.
by Rahul Sareen, Sr. IoT Consultant, AWS Professional Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
SRV203 Getting Started with AWS Lambda and the Serverless CloudAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
In this session we’ll take a high-level overview of AWS Lambda, a serverless compute platform that has changed the way that developers around the world build applications. We’ll explore how Lambda works under the hood, the capabilities it has, and how it is used. By the end of this talk you’ll know how to create Lambda based applications and deploy and manage them easily.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Deep Dive on Serverless Web Applications - AWS May 2016 Webinar SeriesAmazon Web Services
Serverless architectures involve building applications and services with infrastructure resources that require zero administration. When building and operating web applications, you have to provision and manage servers to run your application code, install and operate distributed databases, and scale servers to handle API requests. AWS provides you a stack of scalable, fully-managed services that eliminates these operational complexities.
In this session, we will briefly review how you can build web applications using a serverless architecture. We will run through a demo of setting up a simple serverless blogging web application that allows user authentication and the ability to create posts and comments. We will dive into the details of how AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon Cognito are used in each component of the web application.
Learning Objectives:
• Review components and benefit of serverless architectures
• Learn how to build a serverless blogging web application
AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda.
To know more please visit https://www.whizlabs.com/blog/aws-lambda-documentation/
Security Best Practices for Serverless Applications - July 2017 AWS Online T...Amazon Web Services
Learning Objectives:
- Learn security best practices for AWS Lambda and Amazon API Gateway
- Understand how to use Amazon Cognito to build identity and authentication features into serverless applications
- Learn identity and access management best practices for serverless applications
Securely building and deploying serverless applications requires cloud-native security best practices. In this talk, you will learn how to use AWS Lambda permissions and how to easily set up authentication and authorization for Amazon API Gateway. We will also cover how you can use Amazon Cognito for end user authentication and authorization. You'll also learn how to securely store your application secrets with AWS. This talk also discusses how to implement identity and access management best practices.
Build and run applications without thinking about serversAmazon Web Services
Organizations need to gain insight and knowledge from a growing number of Internet of Things (IoT) APIs clickstreams comprised of unstructured and log data sources. However, organizations are often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we’ll introduce the key ETL features of AWS Glue through use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We’ll also discuss how to build scalable, efficient and serverless ETL pipelines using AWS Glue.
Learn about what a serverless architecture is, why they are growing in popularity, and who the key players are in a serverless API build on the AWS platform. Then get started building your own servless API!
NEW LAUNCH! Enhance Your Mobile Apps with AI Using Amazon LexAmazon Web Services
Amazon Echo and Alexa have shown that voice interfaces provide significant benefits to users – interactions are easy, fast, and context-driven. In this hands-on session, you’ll see how to add compelling voice and chat interfaces to your mobile apps, using Amazon Lex for processing conversations and triggering corresponding actions in your backend systems, all without having to manage any infrastructure. You’ll leave knowing how to build apps that can “Find me a nearby hotel” or “Reorder supplies for the copier”.
Building API-Driven Microservices with Amazon API Gateway - AWS Online Tech T...Amazon Web Services
Learning Objectives:
- Learn patterns for building APIs for various backend technologies
- Learn how to secure your APIs
- Learn how to handle updates, versioning, and environments using Amazon API Gateway
This presentation will give information about What is Serverless? What service is exposed by AWS to support Function as a Service. Lambda is AWS service which support serverless.
Amazon Web Services proporciona una amplia gama de servicios que le ayudarán a crear e implementar aplicaciones de análisis de big data de forma rápida y sencilla. AWS ofrece un acceso rápido a recursos de TI económicos y flexibles, algo que permitirá escalar prácticamente cualquier aplicación de big data con rapidez, incluidos almacenamiento de datos, análisis de clics, detección de elementos fraudulentos, motores de recomendación, proceso ETL impulsado por eventos, informática sin servidor y procesamiento del Internet de las cosas.
Real-world development Decomposing a serverless skills-based routing application on AWS
Presenter: Adam Larter, Principal Solutions Architect, Developer Specialist
AWS August Webinar Series - Building Serverless Backends with AWS Lambda and ...Amazon Web Services
AWS Lambda is a compute service that runs your code in response to triggers and automatically manages the compute resources for you. Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale.
This webinar will familiarize you with the basics of AWS Lambda and Amazon API Gateway and demonstrate how to build web, mobile, and IoT backends using these services. You will learn how to setup API endpoints that trigger AWS Lambda functions to handle mobile, web, IoT, and 3rd party API requests. You will also learn how to use Lambda to read and write to DynamoDB.
Learning Objectives:
Understand key AWS Lambda and Amazon API Gateway features
Learn how to set up a serverless backend using Amazon API Gateway and AWS Lambda
Explore sample use cases, best practices and tips on using AWS Lambda with Amazon API Gateway
‘Serverless’ is a term that has gained popularity in recent times, among the biggest tech industries. Serverless computing will allow you to fulfill the requirements and keep your business processes on track and your consumers happy and updated. To know more visit https://bit.ly/2Xo6TRh.
#serverlesscomputing, #serverlessarchitecture, #cloudcomputing, #awsserverless, #serverlessaws, #serverlesscomputingfaas, #azureserverlesscomputing, #learnserverlesscomputing, #awslambdaserverlesscomputing, #serverlessbasics, #azureserverless, #serverlessframework
Follow Us On –
Facebook: http://www.facebook.com/CapitalNumbers
Twitter: https://twitter.com/_CNInfotech
Pinterest: http://pinterest.com/capitalnumbers/
Linkedin: http://www.linkedin.com/company/capitalnumbers
Youtube: https://www.youtube.com/user/CNInfotech
Instagram: https://www.instagram.com/capitalnumbers_com/
Artificial Intelligence (AI) services on the AWS cloud bring deep learning (DL) technologies like natural language understanding (NLU), automatic speech recognition (ASR), image recognition and computer vision (CV), text-to-speech (TTS), and machine learning (ML) within reach of every developer. In this session, you will be introduced to several new AI services: Amazon Lex, to build sophisticated text and voice chatbots; Amazon Rekognition, for deep learning-based image recognition; and Amazon Polly, for turning text into lifelike speech. The opportunities to apply one or more of these DL services are nearly boundless and this session will provide a number of examples and use cases to help you get started.
by Rahul Sareen, Sr. IoT Consultant, AWS Professional Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
SRV203 Getting Started with AWS Lambda and the Serverless CloudAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you'll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We'll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We'll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Join us to learn about the state of serverless computing from Dr. Tim Wagner, General Manager of AWS Lambda. Dr. Wagner discusses the latest developments from AWS Lambda and the serverless computing ecosystem. He talks about how serverless computing is becoming a core component in how companies build and run their applications and services, and he also discusses how serverless computing will continue to evolve.
Getting Started with AWS Lambda and the Serverless Cloud - AWS Summit Cape T...Amazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
AWS Speaker : Danilo Poccia, Technical Evangelist - Amazon Web Services
AWS' philosophy and recommended best practices for building microservices applications, how AWS services like Lambda and API gateway benefit developers building microservices apps, and how customers are using these two and other AWS services to deliver their microservices apps
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we'll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
¿Qué es eso del desarrollo sin servidores? ¿Qué lenguajes puedo utilizar? ¿Cómo hago cosas como autenticación, o guardar en base de datos, o enviar notificaciones? ¿Esto escala? A todas estas preguntas, y a alguna más, intentaré dar respuesta en esta sesión, donde haré una pequeña demo de montar una app muy sencilla y desplegarla en la nube sin preocuparnos de gestionar infraestructura. Charla realizada por primera vez para AlcarriaConf 2021
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we'll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
AWS re:Invent 2016: Building Complex Serverless Applications (GPST404)Amazon Web Services
Provisioning, scaling, and managing physical or virtual servers—and the applications that run on them—has long been a core activity for developers and system administrators. The expanding array of managed AWS cloud services, including AWS Lambda, Amazon DynamoDB, Amazon API Gateway and more, increasingly allows organizations to focus on delivering business value without worrying about managing the underlying infrastructure or paying for idle servers and other fixed costs of cloud services. In this session, we discuss the design, development, and operation of these next-generation solutions on AWS. Whether you're developing end-user web applications or back-end data processing systems, join us in this session to learn more about building your applications without servers.
Getting Started with Serverless Architectures - August 2016 Monthly Webinar S...Amazon Web Services
Serverless architectures allow you to build and run applications and services without having to manage infrastructure. With serverless architectures, your application still runs on servers, but all the server management is done by AWS .
In this webinar, you will learn how to build applications and services using a serverless architecture. We will discuss how you can use AWS Lambda to run code for any type of application or backend service; use Amazon DynamoDB to store application data with high scalability and redundancy; and use Amazon API Gateway to create and manage secure API endpoints. We will run through a demo setting up a web application using this architecture, and we will discuss best practices and patterns used by our customers to run serverless applications.
Learning Objectives:
• Understand the basics of serverless architectures
• Learn how to use Lambda, API Gateway, and DynamoDB to run web applications
The State of Serverless Computing | AWS Public Sector Summit 2017Amazon Web Services
oin us to learn about the state of serverless computing from Dougal Ballantyne, Principal Product Manager, Serverless. Dougal Ballantyne discusses the latest developments from AWS Lambda and the serverless computing ecosystem. He talks about how serverless computing is becoming a core component in how companies build and run their applications and services, and he also discusses how serverless computing will continue to evolve. Learn More: https://aws.amazon.com/government-education/
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. But what are the best practices for tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we’ll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics. We’ll talk about how you can build CI/CD pipelines that automatically build, test, and deploy your serverless applications using AWS CodePipeline, AWS CodeBuild, and AWS CloudFormation. We’ll also cover the built-in capabilities of Lambda and API Gateway for creating multiple versions, stages, and environments of your functions and APIs. Finally, we’ll cover monitoring and diagnostics of your Lambda functions with Amazon CloudWatch and AWS X-Ray.
(Diapositivas de presentación son en inglés.)
Las arquitecturas serverless permiten construir y ejecutar aplicaciones y servicios sin necesidad de manejar una infraestructura. En esta sesión veremos la filosofía de AWS y las mejores prácticas para construir aplicaciones basadas en microservicios, cómo servicios de AWS como Lambda y API Gateway benefician a los desarrolladores y cómo nuestros clientes están usando estos servicios y el resto de servicios de AWS para construir sus aplicaciones.
SMC305 Building CI/CD Pipelines for Serverless ApplicationsAmazon Web Services
Continuous Integration and Continuous Delivery help developers rapidly and reliably release updates for their applications in a standardized and safe manner. The faster you can release new features and fix bugs, the quicker you can innovate and respond to customer needs. Serverless computing has changed the game for application development, including how to properly perform CI/CD for your application. AWS provides developer tools that help you automate the end-to-end lifecycle of your serverless application. In this session, we’ll discuss how to build multi-stage pipelines that let you build and test your application in an automated way using AWS CodePipeline and AWS CodeBuild. We’ll also cover the built-in capabilities of AWS Lambda and Amazon API Gateway that allow you to create multiple versions, stages, and environments for your serverless applications.
The AWS Lambda is now available in Singapore and we are excited to invite you to participate in a webinar to learn more about the service and ask questions live throughout the webinar and receive responses during the Q&A session. In this one hour session, you will get to understand key AWS Lambda features, learn the AWS Lambda programming model and get tips on getting the most out of AWS Lambda.
AWS Lambda is a new compute service that runs your code in response to events and automatically manages compute resources for you. In this webinar you’ll learn what you need to quickly begin building mobile, tablet, or IoT applications that use AWS Lambda as a serverless back-end. You’ll also hear about Amazon Web Service’s Event-Driven Compute strategy and see demonstrations that use Lambda to respond to events from Amazon S3 notifications and Amazon DynamoDB streams.
Similar to How to build and deploy serverless apps - AWS Summit Cape Town 2018 (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.
2. About me
• Software Engineer & Web Developer
• Serverless Lover & AI Enthusiast
• AWS Customer since 2013
3. Agenda
1. What is serverless computing
2. Serverless patterns on AWS
3. What customers are building
4. Safe deployments for AWS Lambda
5. Demo time
bit.ly/cape-town-serverless
10. Using AWS Lambda
Simple resource model
• Select power rating
from 128 MB to 3 GB
• CPU and network
allocated
proportionately
Flexible use
• Synchronous or
asynchronous
• Integrated with other
AWS services
Flexible authorization
• Securely grant access to
resources and VPCs
• Fine-grained control for
invoking your functions
Bring your own code
• Node.js, Java, Python,
C#, Go
• Bring your own libraries
(even native ones)
11. Using AWS Lambda
Authoring functions
• WYSIWYG editor or
upload packaged .zip
• AWS Cloud9 IDE
• Third-party plugins
(Eclipse, Visual Studio)
Monitoring and logging
• Metrics for requests,
errors, and throttles
• Built-in logs to Amazon
CloudWatch Logs
• Distributed tracing with
AWS X-Ray
Programming model
• Use processes, threads,
/tmp, sockets normally
• AWS SDK built in
(Python and Node.js)
Stateless
• Persist data using
external storage
• No affinity or access to
underlying infrastructure
12. AWS Lambda Execution Model
Synchronous (push) Asynchronous (event) Stream-based
Amazon
API Gateway
AWS Lambda
function
Amazon
DynamoDBAmazon
SNS
AWS Lambda
function
Amazon
S3
reqs changes
AWS Lambda
service
function
/order
Amazon
Kinesis
13. Amazon API Gateway
Unified API
frontend
Authenticate and
authorize requests
DDoS protection
and throttling
Throttle, meter,
and monetize APIs
14. Mobile Apps
Websites
Services
Amazon API Gateway
API Gateway
Cache
Public
Endpoints on
Amazon EC2
Amazon
CloudWatch
Monitoring
All publicly
accessible
endpoints
Lambda
Functions
Endpoints
in VPC
Applications
& Services
in VPC
Any other
AWS service
Fully-managed
CloudFront
Distribution
Edge-OptimizedRegionalPrivate
Customer-managed
CloudFront
Distribution
Applications
& Services
in the same
AWS Region
AWS Direct
Connect
On-premises
Amazon API Gateway Integrations
15. AWS Lambda@Edge
Write Node.js code,
upload it to Lambda,
and run it on 120+
edge locations
Run code at an AWS
location close to your end
user with CloudFront’s
global network
Leverage computation at
the edge and CloudFront’s
caching functionalities to
reduce origin load
Programing modelReduce Origin LoadGlobal network
New
24. WHY WE CHOSE AWS (AND SERVERLESS)
Developers focus
on building
functionality
Multiple
programming
languages co-exist
Platform stability Scalability &
Availability
25. WHY WE CHOSE AWS (AND SERVERLESS)
Architectural &
release agility
AWS Free TierSafe & gradual
deployments
Deep visibility into
code execution &
performance
26. VITAL STATS
FIRST 6 MONTHS AFTER LAUNCH
• Mobile App Downloads
~ 60,000
• Lambda Invocations
~ 1,2 million monthly
• AWS Costs
$173 to $1,400 monthly (R2,400 to R20k)
Stable costs despite the linear growth
30. AWS Serverless Application Model (SAM)
Simplified template driven deployment
model for serverless applications
Supported serverless resource types:
functions, APIs, and tables
Supports anything AWS CloudFormation
supports
Open specification (Apache 2.0)
github.com/awslabs/serverless-application-model
31. SAM Template
Tells AWS CloudFormation this is a
SAM template it needs to transform
Creates a Lambda function with the
referenced managed IAM policy,
runtime, code at the referenced zip
location, and handler as defined.
Also creates an API Gateway and
takes care of all mapping and
permissions necessary
Creates a DynamoDB table with five
read & write units
AWSTemplateFormatVersion: '2010-09-09’
Transform: AWS::Serverless-2016-10-31
Resources:
GetHtmlFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: s3://sam-demo-bucket/todo_list.zip
Handler: index.gethtml
Runtime: nodejs4.3
Policies: AmazonDynamoDBReadOnlyAccess
Events:
GetHtml:
Type: Api
Properties:
Path: /{proxy+}
Method: ANY
ListTable:
Type: AWS::Serverless::SimpleTable
32. SAM Template Properties
Handler: index.js
Runtime: nodejs4.3
CodeUri: 's3://my-bucket/my-function.zip'
Description: Creates thumbnails
MemorySize: 1024
Timeout: 15
Policies: AmazonS3FullAccess
Environment:
Variables:
TABLE_NAME: my-table
Events:
PhotoUpload:
Type: S3
Properties:
Bucket: my-photo-bucket
Tracing: Active|PassThrough
From SAM version 2016-10-31
AWS::Serverless::Function
AWS::Serverless::Api
AWS::Serverless::SimpleTable
33. SAM Template Properties
StageName: prod
DefinitionUri: swagger.yml
CacheClusterEnabled: true
CacheClusterSize: 28.4
Variables:
VarName: VarValue
From SAM version 2016-10-31
AWS::Serverless::Function
AWS::Serverless::Api
AWS::Serverless::SimpleTable
34. SAM Template Properties
PrimaryKey:
Name: id
Type: String
ProvisionedThroughput:
ReadCapacityUnits: 5
WriteCapacityUnits: 5
From SAM version 2016-10-31
AWS::Serverless::Function
AWS::Serverless::Api
AWS::Serverless::SimpleTable
35. github.com/awslabs/aws-sam-local
AWS SAM CLI
CLI tool for local testing of serverless apps
Works with Lambda functions and “proxy-style” APIs
Response object and function logs available on your
local machine
Uses open-source Docker-Lambda images to mimic
Lambda’s execution environment (timeout, memory
limits, runtimes)