AWS re:Invent chalk talk showing how to tackle business problems with a serverless mindset. Solutions deck available at https://www.slideshare.net/JamesBeswick/thinking-serverless-aws-reinvent-2019-chalk-talk-svs213-solutions-slides.
‘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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S3 to Lambda:: A flexible pattern at the heart of serverless applications (SV...James Beswick
AWS re:Invent chalk talk showing benefits and examples of the S3 to Lambda pattern. Examples available in code repo at https://github.com/jbesw/svs214-examples.
Introduction to AWS Amplify and the Amplify CLI ToolchainAWS Germany
AWS Amplify has released a brand new CLI Toolchain that makes it easy to create & configure AWS cloud services on the fly directly from your local environment.
This CLI complements the AWS Amplify Library to provide an end to end solution for the creation, configuration, & implementation of scalable cloud-enabled applications with a Rails-like experience focusing on developer efficiency. AWS Amplify supports not only JavaScript applications & frameworks like Angular, React, & React Native, but also native iOS & native Android.
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.
Raleigh DevDay 2017: Building serverless web applicationsAmazon Web Services
This document summarizes a presentation on building serverless web applications using AWS services like AWS Lambda and Amazon API Gateway. It discusses why serverless is useful by avoiding managing servers. It then covers design patterns like monolithic versus microservices architectures. Finally, it demonstrates how to define a serverless application using the AWS Serverless Application Model (SAM) and deploy it with AWS CloudFormation.
Raleigh DevDay 2017: Building CICD pipelines for serverless applicationsAmazon Web Services
This document discusses continuous integration and continuous delivery (CI/CD) pipelines for serverless applications. It describes that serverless applications are typically composed of multiple AWS Lambda functions and other AWS services. An example CI/CD pipeline is proposed that builds, tests, and deploys serverless applications to independent environments. The AWS Serverless Application Model (SAM) is introduced as an extension to AWS CloudFormation that simplifies defining serverless infrastructure as code.
‘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/
S3 to Lambda:: A flexible pattern at the heart of serverless applications (SV...James Beswick
AWS re:Invent chalk talk showing benefits and examples of the S3 to Lambda pattern. Examples available in code repo at https://github.com/jbesw/svs214-examples.
Introduction to AWS Amplify and the Amplify CLI ToolchainAWS Germany
AWS Amplify has released a brand new CLI Toolchain that makes it easy to create & configure AWS cloud services on the fly directly from your local environment.
This CLI complements the AWS Amplify Library to provide an end to end solution for the creation, configuration, & implementation of scalable cloud-enabled applications with a Rails-like experience focusing on developer efficiency. AWS Amplify supports not only JavaScript applications & frameworks like Angular, React, & React Native, but also native iOS & native Android.
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.
Raleigh DevDay 2017: Building serverless web applicationsAmazon Web Services
This document summarizes a presentation on building serverless web applications using AWS services like AWS Lambda and Amazon API Gateway. It discusses why serverless is useful by avoiding managing servers. It then covers design patterns like monolithic versus microservices architectures. Finally, it demonstrates how to define a serverless application using the AWS Serverless Application Model (SAM) and deploy it with AWS CloudFormation.
Raleigh DevDay 2017: Building CICD pipelines for serverless applicationsAmazon Web Services
This document discusses continuous integration and continuous delivery (CI/CD) pipelines for serverless applications. It describes that serverless applications are typically composed of multiple AWS Lambda functions and other AWS services. An example CI/CD pipeline is proposed that builds, tests, and deploys serverless applications to independent environments. The AWS Serverless Application Model (SAM) is introduced as an extension to AWS CloudFormation that simplifies defining serverless infrastructure as code.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
Amazon WorkSpaces: Advanced Topics and Application DeliveryAmazon Web Services
This document discusses deploying and managing applications for Amazon WorkSpaces. It describes building a network for WorkSpaces, launching WorkSpaces, and using the Amazon WorkSpaces Application Manager to deploy applications to WorkSpaces. It provides an overview of networking components when using WorkSpaces and explains how to build an application catalog, assign applications to users, and access applications using the Amazon WorkSpaces desktop app.
Amazon WorkSpaces - Aadvanced Topics & Application DeliveryAmazon Web Services
Amazon WorkSpaces is a managed desktop computing service in the cloud. Amazon WorkSpaces allows customers to easily provision cloud-based desktops that allow end-users to access the documents, applications and resources they need with the device of their choice, including laptops, iPad, Kindle Fire, Android tablets, and zero clients. With a few clicks in the AWS Management Console, customers can provision a high-quality cloud desktop experience for any number of users at a cost that is highly competitive with traditional desktops and half the cost of most virtual desktop infrastructure (VDI) solutions.
Productionize Serverless Application Building and Deployments with AWS SAM - ...Amazon Web Services
Learning Objectives:
- Learn abou the SAM template design best practices (e.g., use of globals, mappings, parameters, and conditionals)
- Learn how to test and debug serverless applications with SAM Local
- Learn how to customize SAM itself with the open source SAM implementation
In this talk, we’ll dive deep the best practices for developing Serverless applications. This session will cover local development, testing, debugging, followed by deployment best practices (CI/CD).
Customer Sharing: 17 Media - Scale to 12,000,000 Users with AWSAmazon Web Services
10 million downloads in less than 8 months! The speaker from 17 Media will share what challenges they have faced in this massive user growth and how they have have been so successful in the cloud. You are invited to learn a lot from the cloud journey of the 17 Media.
Building APIs with Amazon API Gateway: re:Invent 2018 Recap at the AWS Loft -...Amazon Web Services
Building APIs with Amazon API Gateway: re:Invent 2018 Recap at the AWS Loft - San Francisco
API Gateways can simplify the work that a developer needs to do to build API based services by helping to standardize authentication and authorization, consumer interfaces, and management needs. With Amazon API Gateway you get all of this and more, including a completely serverless management of your APIs and the ability to host them at almost any scale. You also can get the benefits of the numerous types of APIs that are supported, from pubic to private, REST to Websockets, backed by almost any backend you can think of. In this session we’ll review the powerful capabilities of Amazon API Gateway and how you can get started building awesome APIs.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications
Build and Deploy Serverless Applications with AWS SAM - SRV316 - Chicago AWS ...Amazon Web Services
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the new open-source AWS SAM translator, and see how AWS SAM works under the hood.
AWS April Webinar Series - Deploying and Managing Applications in Amazon Work...Amazon Web Services
Amazon WorkSpaces Application Manager (Amazon WAM) offers a fast, flexible, and secure way for you to deploy and manage applications for Amazon WorkSpaces. Amazon WAM accelerates software deployment, upgrades, patching, and retirement by packaging Microsoft Windows desktop applications into virtualized application containers so they run as though they are natively installed. Amazon WAM is fully integrated with the AWS Management Console and allows you to build and curate a selection of applications for your users and control access to those applications. You can build an application catalog of line-of-business applications, third party applications that you already own the license for, and applications purchased through the AWS Marketplace for Desktop Apps. Simple, pay as you go, user-based pricing ensures that you only pay for the applications that people use.
Learning Objectives:
• Introduce Amazon WorkSpaces Application Manager (Amazon WAM)
• Understand the benefits of Amazon WAM
• Deploy and manage applications for Amazon WorkSpaces
• Learn how Amazon WAM integrates with your existing infrastructure
Who Should Attend:
• IT Administrators and WorkSpaces customers
This "what's new" presentation was delivered to the Seattle AWS User Group on August 31, 2011.
It covers new services, new locations, and new features.
Authoring and Deploying Serverless Applications with AWS SAMAmazon Web Services
Serverless applications can be composed of multiple AWS resources such as AWS Lambda functions Amazon API Gateway APIs Amazon DynamoDB tables and Amazon S3 buckets. When building a serverless application what is the most straightforward way to group all your resources into one serverless application? Once you define your serverless application how quickly can you develop test and iterate on your local machine before deploying to AWS? In this session learn how to define serverless applications with the AWS Serverless Application Model (AWS SAM) and how to use the AWS SAM Local CLI tool to develop and test locally before deploying to AWS.
AWS ❤ SAM - Serverless on stage #9 (Milan, 20/02/2018)Francesco Lerro
Presenting AWS SAM and some recently introduced* tools/features (SAM Local, Cloud9, Traffic Shifting) that streamlines Serverless project development lifecycle.
* Introduced at re:invent 2017 in December
How to build and deploy serverless apps - AWS Summit Cape Town 2018Amazon Web Services
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.
Raleigh DevDay 2017: Build a serverless web application in one day workshopAmazon Web Services
This document provides a summary of a presentation on building serverless web applications using AWS services like AWS Lambda and Amazon API Gateway. It includes an overview of AWS compute services like EC2, ECS, and Lambda and their differences. The presentation discusses why serverless is useful, common use cases, and design patterns like monolithic and microservices architectures. It also demonstrates how to define and deploy serverless applications using the AWS Serverless Application Model (SAM).
Using AWS Lambda to Build Control Systems for Your AWS InfrastructureAmazon Web Services
Defining infrastructure resource policies in an organized manner can help your company better manage its infrastructure resources.
This session will familiarize you with using AWS Lambda to process data and provide control logic for your infrastructure. You can use Amazon CloudWatch Events to monitor infrastructure resources in real-time, and you can use AWS Lambda to react to events based on a set of rules. We will demonstrate how you can build a rules engine for creating, monitoring, and managing policies.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Bryan Liston, Community Manager, AWS Lambda
This document discusses machine learning and Amazon Web Services' ML products and services. It covers AWS's ML infrastructure, AI services like Amazon Rekognition, efforts to improve training and inference costs through new instance types and Amazon Elastic Inference, and making it easier for developers to obtain labeled data through Amazon SageMaker. The document emphasizes that AWS has more ML customers and services than any other provider and is focused on increasing ease of use, reducing costs, and improving data preparation for ML developers.
API Gateways can simplify the work that a developer needs to do to build API based services by helping to standardize authentication and authorization, consumer interfaces, and management needs. With Amazon API Gateway you get all of this and more, including a completely serverless management of your APIs and the ability to host them at almost any scale. You also can get the benefits of the numerous types of APIs that are supported, from pubic to private, REST to Websockets, backed by almost any backend you can think of. In this session we’ll review the powerful capabilities of Amazon API Gateway and how you can get started building awesome APIs.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Thinking Asynchronously Full Vesion - Utah UGEric Johnson
The document discusses asynchronous programming with AWS Lambda functions. It provides an example of a translation application built using synchronous and asynchronous approaches. With the synchronous approach, a single Lambda function makes requests to Amazon Translate, Amazon Polly, and writes to DynamoDB and S3 sequentially. The asynchronous approach uses multiple Lambda functions and services like EventBridge and DynamoDB streams to decouple the processing steps. This allows for scaling and fault tolerance. The presentation explores further improving the asynchronous system with additional steps like sentiment analysis.
AWS Lambda Layers, the Runtime API, & Nested ApplicationsAmazon Web Services
At AWS re:Invent 2018, the AWS Lambda team announced a number of new capabilities to help developers make developing serverless applications even easier. With AWS Layers, developers can easily bundle up dependencies and other bits of reusable code to simplify their management. The Runtime API allows developers to bring whatever language they want to Lambda. Lastly nested applications give developers the ability to combine whole serverless applications to allow the highest level of re-use possible. In this session we’ll go through all three of these key new capabilities and review how they can help you.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the Approved open-source AWS SAM translator, and see how AWS SAM works under the hood.
Serverless computing - Build and run applications without thinking about serversAmazon Web Services
The document discusses serverless deployment patterns and tools for AWS Lambda functions. It describes common deployment patterns like blue/green, canary, and linear deployments. It then covers the AWS Serverless Application Model (SAM) which allows defining serverless applications using CloudFormation. The SAM CLI allows testing serverless applications locally. Lambda aliases and traffic shifting allow shifting traffic between Lambda function versions for deployments. Global variables and deployment preferences in SAM allow configuring safe linear deployments with validation hooks and alarms.
This document discusses serverless computing and AWS Lambda. It provides an overview of virtual machines, containers, and serverless/functions as a service. It describes how AWS Lambda works, including how to author functions using various programming languages. It also discusses how to integrate Lambda with other AWS services like API Gateway, Step Functions, S3, DynamoDB and more. It introduces the AWS Serverless Application Repository and AWS SAM for defining serverless applications.
Amazon WorkSpaces: Advanced Topics and Application DeliveryAmazon Web Services
This document discusses deploying and managing applications for Amazon WorkSpaces. It describes building a network for WorkSpaces, launching WorkSpaces, and using the Amazon WorkSpaces Application Manager to deploy applications to WorkSpaces. It provides an overview of networking components when using WorkSpaces and explains how to build an application catalog, assign applications to users, and access applications using the Amazon WorkSpaces desktop app.
Amazon WorkSpaces - Aadvanced Topics & Application DeliveryAmazon Web Services
Amazon WorkSpaces is a managed desktop computing service in the cloud. Amazon WorkSpaces allows customers to easily provision cloud-based desktops that allow end-users to access the documents, applications and resources they need with the device of their choice, including laptops, iPad, Kindle Fire, Android tablets, and zero clients. With a few clicks in the AWS Management Console, customers can provision a high-quality cloud desktop experience for any number of users at a cost that is highly competitive with traditional desktops and half the cost of most virtual desktop infrastructure (VDI) solutions.
Productionize Serverless Application Building and Deployments with AWS SAM - ...Amazon Web Services
Learning Objectives:
- Learn abou the SAM template design best practices (e.g., use of globals, mappings, parameters, and conditionals)
- Learn how to test and debug serverless applications with SAM Local
- Learn how to customize SAM itself with the open source SAM implementation
In this talk, we’ll dive deep the best practices for developing Serverless applications. This session will cover local development, testing, debugging, followed by deployment best practices (CI/CD).
Customer Sharing: 17 Media - Scale to 12,000,000 Users with AWSAmazon Web Services
10 million downloads in less than 8 months! The speaker from 17 Media will share what challenges they have faced in this massive user growth and how they have have been so successful in the cloud. You are invited to learn a lot from the cloud journey of the 17 Media.
Building APIs with Amazon API Gateway: re:Invent 2018 Recap at the AWS Loft -...Amazon Web Services
Building APIs with Amazon API Gateway: re:Invent 2018 Recap at the AWS Loft - San Francisco
API Gateways can simplify the work that a developer needs to do to build API based services by helping to standardize authentication and authorization, consumer interfaces, and management needs. With Amazon API Gateway you get all of this and more, including a completely serverless management of your APIs and the ability to host them at almost any scale. You also can get the benefits of the numerous types of APIs that are supported, from pubic to private, REST to Websockets, backed by almost any backend you can think of. In this session we’ll review the powerful capabilities of Amazon API Gateway and how you can get started building awesome APIs.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications
Build and Deploy Serverless Applications with AWS SAM - SRV316 - Chicago AWS ...Amazon Web Services
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the new open-source AWS SAM translator, and see how AWS SAM works under the hood.
AWS April Webinar Series - Deploying and Managing Applications in Amazon Work...Amazon Web Services
Amazon WorkSpaces Application Manager (Amazon WAM) offers a fast, flexible, and secure way for you to deploy and manage applications for Amazon WorkSpaces. Amazon WAM accelerates software deployment, upgrades, patching, and retirement by packaging Microsoft Windows desktop applications into virtualized application containers so they run as though they are natively installed. Amazon WAM is fully integrated with the AWS Management Console and allows you to build and curate a selection of applications for your users and control access to those applications. You can build an application catalog of line-of-business applications, third party applications that you already own the license for, and applications purchased through the AWS Marketplace for Desktop Apps. Simple, pay as you go, user-based pricing ensures that you only pay for the applications that people use.
Learning Objectives:
• Introduce Amazon WorkSpaces Application Manager (Amazon WAM)
• Understand the benefits of Amazon WAM
• Deploy and manage applications for Amazon WorkSpaces
• Learn how Amazon WAM integrates with your existing infrastructure
Who Should Attend:
• IT Administrators and WorkSpaces customers
This "what's new" presentation was delivered to the Seattle AWS User Group on August 31, 2011.
It covers new services, new locations, and new features.
Authoring and Deploying Serverless Applications with AWS SAMAmazon Web Services
Serverless applications can be composed of multiple AWS resources such as AWS Lambda functions Amazon API Gateway APIs Amazon DynamoDB tables and Amazon S3 buckets. When building a serverless application what is the most straightforward way to group all your resources into one serverless application? Once you define your serverless application how quickly can you develop test and iterate on your local machine before deploying to AWS? In this session learn how to define serverless applications with the AWS Serverless Application Model (AWS SAM) and how to use the AWS SAM Local CLI tool to develop and test locally before deploying to AWS.
AWS ❤ SAM - Serverless on stage #9 (Milan, 20/02/2018)Francesco Lerro
Presenting AWS SAM and some recently introduced* tools/features (SAM Local, Cloud9, Traffic Shifting) that streamlines Serverless project development lifecycle.
* Introduced at re:invent 2017 in December
How to build and deploy serverless apps - AWS Summit Cape Town 2018Amazon Web Services
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.
Raleigh DevDay 2017: Build a serverless web application in one day workshopAmazon Web Services
This document provides a summary of a presentation on building serverless web applications using AWS services like AWS Lambda and Amazon API Gateway. It includes an overview of AWS compute services like EC2, ECS, and Lambda and their differences. The presentation discusses why serverless is useful, common use cases, and design patterns like monolithic and microservices architectures. It also demonstrates how to define and deploy serverless applications using the AWS Serverless Application Model (SAM).
Using AWS Lambda to Build Control Systems for Your AWS InfrastructureAmazon Web Services
Defining infrastructure resource policies in an organized manner can help your company better manage its infrastructure resources.
This session will familiarize you with using AWS Lambda to process data and provide control logic for your infrastructure. You can use Amazon CloudWatch Events to monitor infrastructure resources in real-time, and you can use AWS Lambda to react to events based on a set of rules. We will demonstrate how you can build a rules engine for creating, monitoring, and managing policies.
AWS DevDay San Francisco, June 21, 2016.
Presenter: Bryan Liston, Community Manager, AWS Lambda
This document discusses machine learning and Amazon Web Services' ML products and services. It covers AWS's ML infrastructure, AI services like Amazon Rekognition, efforts to improve training and inference costs through new instance types and Amazon Elastic Inference, and making it easier for developers to obtain labeled data through Amazon SageMaker. The document emphasizes that AWS has more ML customers and services than any other provider and is focused on increasing ease of use, reducing costs, and improving data preparation for ML developers.
API Gateways can simplify the work that a developer needs to do to build API based services by helping to standardize authentication and authorization, consumer interfaces, and management needs. With Amazon API Gateway you get all of this and more, including a completely serverless management of your APIs and the ability to host them at almost any scale. You also can get the benefits of the numerous types of APIs that are supported, from pubic to private, REST to Websockets, backed by almost any backend you can think of. In this session we’ll review the powerful capabilities of Amazon API Gateway and how you can get started building awesome APIs.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
Thinking Asynchronously Full Vesion - Utah UGEric Johnson
The document discusses asynchronous programming with AWS Lambda functions. It provides an example of a translation application built using synchronous and asynchronous approaches. With the synchronous approach, a single Lambda function makes requests to Amazon Translate, Amazon Polly, and writes to DynamoDB and S3 sequentially. The asynchronous approach uses multiple Lambda functions and services like EventBridge and DynamoDB streams to decouple the processing steps. This allows for scaling and fault tolerance. The presentation explores further improving the asynchronous system with additional steps like sentiment analysis.
AWS Lambda Layers, the Runtime API, & Nested ApplicationsAmazon Web Services
At AWS re:Invent 2018, the AWS Lambda team announced a number of new capabilities to help developers make developing serverless applications even easier. With AWS Layers, developers can easily bundle up dependencies and other bits of reusable code to simplify their management. The Runtime API allows developers to bring whatever language they want to Lambda. Lastly nested applications give developers the ability to combine whole serverless applications to allow the highest level of re-use possible. In this session we’ll go through all three of these key new capabilities and review how they can help you.
Speaker: Chris Munns - Principal Developer Advocate, AWS Serverless Applications, AWS
AWS Serverless Application Model (AWS SAM) is a tool for developing, deploying, and managing your serverless applications on AWS. Learn best practices and tricks for using AWS SAM at scale, including how to make the most of its dynamic template capabilities, how to use advanced features, and how to debug serverless applications. Also explore the Approved open-source AWS SAM translator, and see how AWS SAM works under the hood.
Serverless computing - Build and run applications without thinking about serversAmazon Web Services
The document discusses serverless deployment patterns and tools for AWS Lambda functions. It describes common deployment patterns like blue/green, canary, and linear deployments. It then covers the AWS Serverless Application Model (SAM) which allows defining serverless applications using CloudFormation. The SAM CLI allows testing serverless applications locally. Lambda aliases and traffic shifting allow shifting traffic between Lambda function versions for deployments. Global variables and deployment preferences in SAM allow configuring safe linear deployments with validation hooks and alarms.
Serverless Architectural Patterns and Best Practices - Madhu Shekar - AWSCodeOps Technologies LLP
This presentation was made by Madhusudan Shekar (Principal Evangelist) at AWS - on 9th June 2018 in Bridgei2i Analytics, Bangalore as part of Cloud Native meetup.
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.
The document discusses serverless functions and the AWS Serverless Application Model (SAM). It provides an overview of SAM templates and how they can be used to define serverless applications using AWS Lambda, API Gateway, DynamoDB and other services. It also describes the AWS SAM CLI, which allows testing and deploying serverless applications locally, and best practices for structuring SAM templates.
Discover how to automate your build, test and deployment of serverless applications. I will demo Lambda, SAM (Serverless Application Model), Code Build, Code Commit and Code Pipeline
The document provides an overview of a presentation on serverless development, outlining topics that will be covered such as building serverless APIs, CI/CD pipelines, development frameworks like AWS SAM and Chalice, debugging and testing locally, security features like Amazon Cognito, and using services like AWS Lambda and Amazon API Gateway. Paul Maddox will give the presentation, sharing his 16 years of development experience and focusing on debunking myths around serverless development.
This document summarizes a presentation given by Dr. Tim Wagner, General Manager of AWS Lambda and Amazon API Gateway, at the AWS New York Summit on August 11, 2016 about getting started with serverless computing using AWS Lambda and Amazon API Gateway. The presentation introduced serverless computing and how it abstracts infrastructure management, discussed AWS Lambda and Amazon API Gateway services and how to choose between them. It also provided examples of serverless use cases including data processing, backend services, and app ecosystems. Tips for VPC configuration, function scheduling, and stage variables in API Gateway were also shared.
by Brent Rabowsky, Solutions Architect & Itzik Paz, Solutions Architect, AWS
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes re-usable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. What’s new in 2017: using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; how a query can be achieved using Athena; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; how to validate API parameters in API Gateway to protect your API back-ends; and a solid focus on CI/CD development pipelines for serverless –that includes testing, deploying, and versioning (SAM tools).
Discover how to architect fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can work alongside various AWS services to boost resiliency, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, learn about authentication and authorization, and explore various hybrid scenarios involving on-premises solutions or infrastructure. Examine common architecture patterns for network design, Microsoft Active Directory, and business productivity; as well as common scenarios for custom .NET, .NET Core with Microsoft SQL deployments, and migrations.
Artur Rodrigues, Senior Solutions Architect, Amazon Web Services
The document discusses the state of serverless computing on AWS. It begins by explaining what serverless computing is and how it has evolved from physical servers to virtual servers in data centers to virtual servers in the cloud. It then discusses some of the key benefits of serverless computing such as no server management, automatic scaling, and pay per use. The document outlines some common use cases for serverless applications including web apps, backends, media processing, and big data workloads. It also provides examples of large customers using AWS Lambda at scale. Finally, it discusses some of the building blocks that enable serverless applications on AWS such as Lambda, API Gateway, DynamoDB, and others.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Building Serverless Applications with Amazon DynamoDB & AWS Lambda - Workshop...Amazon Web Services
Join us for this first-ever advanced design and best practices workshop, designed to demonstrate the breadth of AWS serverless offerings and how the components work together. In this interactive workshop, we review the evolution of an e-commerce company that starts with a low-effort serverless product catalog, scales to a million daily users, and then adds analytics and near real-time monitoring. As we progress through the workshop, we dive deeply into AWS serverless services, such as Amazon DynamoDB, AWS Lambda, and Amazon Kinesis. We also use Amazon S3, Amazon API Gateway, Amazon Cognito, and other services that enable you to optimize costs and improve performance. Basic knowledge of DynamoDB, Lambda, and Kinesis is required. Bring your laptop and power supply to this session.
Architetture Serverless: concentrarsi sull'idea, non sull'infrastrutturaAmazon Web Services
This document provides an overview of PhotoVogue, a photography platform part of Vogue Italy, and how it has moved to AWS. PhotoVogue allows photographers around the world to showcase their work, with over 130,000 photographers and more than 400,000 photos. The legacy IT infrastructure struggled with the growing traffic, photos, and users. AWS has allowed PhotoVogue to build a serverless architecture using Lambda, API Gateway, S3, RDS, and CloudFront. This has provided quicker provisioning of resources, no scaling issues, cost savings of 30%, and enabled more innovation by developers and DevOps.
12 Factor Serverless Applications - Mike Morain, AWS - Cloud Native Day Tel A...Cloud Native Day Tel Aviv
The “Twelve-Factor” application model has come to represent twelve best practices for building modern, cloud-native applications. With guidance on things like configuration, deployment, runtime, and multiple service communication, the Twelve-Factor model prescribes best practices that apply to everything from web applications to APIs to data processing applications. Although Serverless computing and AWS Lambda have changed how application development is done, the “Twelve-Factor” best practices remain relevant and applicable in a Serverless world. In this talk, we’ll apply the “Twelve-Factor” model to Serverless application development with AWS Lambda and Amazon API Gateway and show you how these services enable you to build scalable, low cost, and low administration applications.
Serverless Architecture - Design Patterns and Best PracticesAmazon Web Services
As serverless architectures become more popular, customers are looking for a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems.
This webinar session describes reusable serverless patterns. For each pattern, operational and security best practices with potential pitfalls and nuances will be described. The patterns involve services including but not limited to AWS Lambda, Amazon API Gateway, Amazon Kinesis Data Streams and Data Firehose, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena.
This session can help audience recognise candidates for various serverless architectures in an organisation and understand areas of potential savings and increased agility. For example, using X-Ray in Lambda for tracing and operational insight; a pattern on high performance computing (HPC) using Lambda at scale; Step Functions as a way to handle orchestration for both the Automation and Batch patterns; a pattern for Security Automation using AWS Config rules to detect and automatically remediate violations of security standards; CI/CD development pipelines for serverless, which includes testing, deploying, and versioning (SAM tools); working with services from AI/ML area; plus tips to optimise Lambda functions for performance and cost-effectiveness.
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.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
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6. How do we use servers?
• State management
• Monolithic container for functionality
• One version, one server
• Server is an atomic unit of thinking
• The challenges of this model
9. Understanding how AWS Lambda fits in
Attributes:
• Runs on demand
• Supports many runtimes
• Responds to events
• Stateless
• Automatically scales
Best practices:
• Avoid lifting-and-shifting
• One Lambda function per
purpose
• Keep functions small
• Choose the right runtime for the
job
• Use your functions for business
logic and plumbing between
services
10. General approach to thinking serverlessly
Avoid monolithic
thinking
The key to
scaling effectively
Don’t reinvent
the wheel
Make data
decisions early on
Events are triggers
that cause action
11. What are serverless services?
Amazon
DynamoDB
Amazon API
Gateway
AWS
Lambda
AWS Step
Functions
Amazon S3
Amazon
EventBridge
Amazon Simple
Notification Service
(Amazon SNS)
Amazon Simple
Queue Service
(Amazon SQS)
Amazon
Kinesis
AWS
IoT Core
Amazon Elastic
Transcoder
12. Integrating with other AWS services
Amazon
Comprehend
Amazon
Rekognition
Amazon
Textract
Amazon
Transcribe
Amazon
Translate
13. Good serverless practices
• Infrastructure is disposable
• Asynchronous versus synchronous processing
• You can mix and match runtimes
• Security still matters—build in from the start
• Automation …
15. AWS Serverless Application Model (SAM)
• AWS CloudFormation extension
optimized for serverless
• New serverless resource types:
functions, APIs, tables
• Supports anything AWS
CloudFormation supports
• Open specification (Apache 2.0)
https://github.com/awslabs/serverless-application-model
16. AWS SAM template
Tells AWS CloudFormation this is an AWS
SAM template it needs to “transform”
Specifies an input parameter
Creates an S3 bucket
Creates a Lambda function with:
- Referenced managed IAM policy
- Language runtime/memory
- Code at the referenced zip location
Defines the event triggering the
Lambda function:
- New objects
- Specifies rule (ends in .txt)
17. AWS SAM template
Tells AWS CloudFormation this is an AWS
SAM template it needs to “transform”
Specifies an input parameter
Creates an S3 bucket
Creates a Lambda function with:
- Referenced managed IAM policy
- Language runtime/memory
- Code at the referenced zip location
Defines the event triggering the
Lambda function:
- New objects
- Specifies rule (ends in .txt)
18. AWS SAM template
Tells AWS CloudFormation this is an AWS
SAM template it needs to “transform”
Specifies an input parameter
Creates an S3 bucket
Creates a Lambda function with:
- Referenced managed IAM policy
- Language runtime/memory
- Code at the referenced zip location
Defines the event triggering the
Lambda function:
- New objects
- Specifies rule (ends in .txt)
19. AWS SAM template
Tells AWS CloudFormation this is an AWS
SAM template it needs to “transform”
Specifies an input parameter
Creates an S3 bucket
Creates a Lambda function with:
- Referenced managed IAM policy
- Language runtime/memory
- Code at the referenced zip location
Defines the event triggering the
Lambda function:
- New objects
- Specifies rule (ends in .txt)
20. AWS SAM template
Tells AWS CloudFormation this is an AWS
SAM template it needs to “transform”
Specifies an input parameter
Creates an S3 bucket
Creates a Lambda function with:
- Referenced managed IAM policy
- Language runtime/memory
- Code at the referenced zip location
Defines the event triggering the
Lambda function:
- New objects
- Specifies rule (ends in .txt)