This document discusses serverless computing on AWS. It states that serverless computing allows you to build highly available and cost-effective applications that scale automatically without having to manage servers. It then provides an overview of various AWS services that can be used to build serverless applications, including AWS Lambda for event-driven compute, Amazon S3 for static hosting, Amazon DynamoDB for data storage, AWS Step Functions for microservice coordination, and others.
This document discusses two technology solutions delivered: the Azure Service Broker and Spring Music. The Azure Service Broker is a standard service broker application that provides self-provisioning of Azure services for Open Source Cloud Foundry platforms. Spring Music is a simple demonstration application that uses Spring Cloud principles to automatically detect and connect to backend database services. The document then demonstrates how to create and bind Azure SQL Server and Redis service instances to Spring Music, noting that while SQL Server connection was achieved, Redis required additional custom classes to enable recognition by Spring.
Serverless Microservice Patterns for AWSJeremy Daly
Serverless gives us the power to focus on writing code without worrying about the provisioning and ongoing maintenance of the underlying compute resources. Cloud providers (like AWS) also give us a huge number of managed services that we can stitch together to create incredibly powerful and massively scalable serverless microservices. This talk focuses on common design patterns that can be used to implement serverless microservices in AWS.
Building Resilient Serverless Systems with Non-Serverless ComponentsJeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution to compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on non-serverless downstream systems during peak load times.
Rob Gruhl and Erik Erikson - What We Learned in 18 Serverless Months at Nords...ServerlessConf
This document summarizes Nordstrom's experience with serverless technologies over the past 18 months. Some key lessons learned include that serverless architectures can reduce the amount of code needed for features, require work to ensure high availability, and make tweaking performance easy and cost-effective. Challenges include shared computing limits, API Gateway restrictions, and difficulty debugging distributed applications. Nordstrom hopes to see improvements in transparency, deployment tools, security guidance, and documentation from serverless platform providers.
Building resilient serverless systems with non-serverless components - Server...Jeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution for compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on “non-serverless” downstream systems during peak load times.
This document discusses serverless computing on AWS. It states that serverless computing allows you to build highly available and cost-effective applications that scale automatically without having to manage servers. It then provides an overview of various AWS services that can be used to build serverless applications, including AWS Lambda for event-driven compute, Amazon S3 for static hosting, Amazon DynamoDB for data storage, AWS Step Functions for microservice coordination, and others.
This document discusses two technology solutions delivered: the Azure Service Broker and Spring Music. The Azure Service Broker is a standard service broker application that provides self-provisioning of Azure services for Open Source Cloud Foundry platforms. Spring Music is a simple demonstration application that uses Spring Cloud principles to automatically detect and connect to backend database services. The document then demonstrates how to create and bind Azure SQL Server and Redis service instances to Spring Music, noting that while SQL Server connection was achieved, Redis required additional custom classes to enable recognition by Spring.
Serverless Microservice Patterns for AWSJeremy Daly
Serverless gives us the power to focus on writing code without worrying about the provisioning and ongoing maintenance of the underlying compute resources. Cloud providers (like AWS) also give us a huge number of managed services that we can stitch together to create incredibly powerful and massively scalable serverless microservices. This talk focuses on common design patterns that can be used to implement serverless microservices in AWS.
Building Resilient Serverless Systems with Non-Serverless ComponentsJeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution to compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on non-serverless downstream systems during peak load times.
Rob Gruhl and Erik Erikson - What We Learned in 18 Serverless Months at Nords...ServerlessConf
This document summarizes Nordstrom's experience with serverless technologies over the past 18 months. Some key lessons learned include that serverless architectures can reduce the amount of code needed for features, require work to ensure high availability, and make tweaking performance easy and cost-effective. Challenges include shared computing limits, API Gateway restrictions, and difficulty debugging distributed applications. Nordstrom hopes to see improvements in transparency, deployment tools, security guidance, and documentation from serverless platform providers.
Building resilient serverless systems with non-serverless components - Server...Jeremy Daly
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution for compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on “non-serverless” downstream systems during peak load times.
EXPERTALKS: Jul 2012 - Build using GradleEXPERTALKS
This document discusses the build tool Gradle. It notes that while Ant and Maven provide build functionality, they have limitations. Gradle addresses these by providing faster, more concise builds with a Groovy DSL. It is flexible, integrates with Ant, supports dependencies, and is programmable. The document provides examples of basic Gradle usage and recommends resources for learning more.
Presented at ServerlessConf NYC 2016.
There are a number of open source projects built around closed platforms like AWS Lambda/Google Cloud Functions and open serverless projects like OpenWhisk and LeverOS. In this talk we'll cover what motivates contributors, what sends them running the other direction, and how you can help your project grow. Building a project on top of closed technology is an extra challenge without insight into where it's going. Learn how to manage continuous integration with your project against your (closed) dependencies and make sure bugs stay fixed.
Wordnik's architecture is built around a large English word graph database and uses microservices and ephemeral Amazon EC2 storage. Key aspects include:
1) The system is built as independent microservices that communicate via REST APIs documented using Swagger specifications.
2) Databases for each microservice are kept small by design to facilitate operations like backups, replication, and index rebuilding.
3) Services are deployed across multiple Availability Zones and regions on ephemeral Amazon EC2 storage for high availability despite individual host failures.
Donald Ferguson - Old Programmers Can Learn New TricksServerlessConf
Presented at ServerlessConf NYC 2016.
This presentation will discuss the experiences of a skilled, enterprise, J2EE team moving to Amazon Web Services to build a new “serverless” solution. This will include motivation for choosing and experience using specific technology (Java, Lambda, S3, RDS, API Gateway, VPC, …) The talk will qualitatively explain the productivity improvement achieved by going “serverless” relative to a more traditional application server design. We will also identify the top three helpful technologies, the three biggest hurdles and our wish list for three new capabilities.
The document discusses serverless architectures and function as a service (FaaS) platforms, providing examples of using Apache OpenWhisk to run Python code that retweets tweets containing a hashtag in response to events and describing how serverless technologies can be used to build chatbots that integrate with services like Amazon Lex. It also outlines some common use cases for serverless computing including real-time processing of tweets and periodic triggers to run code on a schedule.
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
June 2017 Denver AWS Users' Group intro slidesDavid McDaniel
The document provides updates from the June AWS Users' Group meeting, including new resources for the group's Slack channel and sponsorship. It discusses potential workshop topics on migrating workloads and building applications on AWS. Recent AWS announcements are listed, and sponsorship by CloudAcademy is announced, which will provide AWS credits for workshops and free online courses. The next meeting's topic will be on Amazon Redshift and a word of the day is provided.
Swagger: Restful documentation that won't put you to sleepTobias Coetzee
RESTful services are becoming more prevalent in the systems we build and interact with. One of the problems with RESTful services is documentation. The documentation is either non-existent, out-dated and useless or done in Word completed separate from the actual code. Keeping the documentation up to date is also boring.
Swagger.io gives you a way to overcome your RESTful service documentation problems by making your RESTful service’s documentation part of the code. Swagger.io gives you interactive documentation, i.e. no more boring Word documents, and the added bonuses of client SDK generation and discoverability.
Building rest services using aspnetwebapiBrij Mishra
The document discusses building REST services using ASP.NET Web API. It defines REST and its constraints, and explains what ASP.NET Web API is and how it enables writing REST based services. It covers HTTP verbs, defining resources, content negotiation, and provides an example of building a simple ASP.NET Web API application.
Building Modern Web Applications with ASP.NET5Brij Mishra
This document provides an overview and agenda for a presentation on building modern web applications with ASP.NET 5. The presentation covers topics like middleware, dependency injection, configuration, and view components. It includes demos of adding middleware, injecting dependencies, loading configuration from different sources, and using a view component. The goal is to introduce key concepts in ASP.NET 5 and show examples of working with middleware, dependency injection, configuration, and view components.
Build a serverless web app for a theme parkJames Beswick
Welcome to Innovator Island! Opening deck for AWS re:Invent 2019 workshop. Code repo available at: https://github.com/aws-samples/aws-serverless-workshop-innovator-island. This is a 200-level workshop recommended for developers wanting to learn about serverless development with AWS Lambda.
Amazon API Gateway helps developers create and manage APIs to connect backend systems like EC2 and Lambda to mobile, web, and server applications. An API in API Gateway consists of resources and methods. Resources represent logical entities that can be accessed via HTTP verbs like GET and POST. Methods map API requests to integrations with backend systems. API Gateway handles request/response mapping and provides benefits like monitoring, security controls, and scalability without servers. Pricing is based on monthly API calls and data transfer. Caching can reduce costs for frequently requested data.
The document discusses serverless architecture and function as a service (FaaS). It notes that serverless allows developers to deploy code as independent functions that are triggered by events and only charge when functions run, scaling automatically. Functions have no disk access and are stateless, running in ephemeral containers. Serverless fits well for static websites, data stream analysis, file processing, and actions users directly pay for on demand. The document outlines Amazon's serverless ecosystem and provides an example architecture and use cases. It also discusses benefits like lower costs and easier scaling but notes potential drawbacks around vendor lock-in and cold starts.
Aws Amity University Presentation Mar-10-2022Varun Manik
Varun Kumar is a Senior Consultant with experience in cloud engineering and DevOps. He has over 8 years of experience in cloud computing. He holds several AWS certifications and has published research papers. Varun delivers training on AWS cloud topics. In his role, he helps clients with cloud migrations, implementing DevOps practices, and automating AWS resources.
The document discusses serverless architecture patterns. It outlines some core principles of serverless including using functions as the unit of deployment, automatic scaling per request, keeping functions stateless, and designing functions to do a single task. The document then lists several key patterns for serverless applications on AWS and Azure, including for web applications, batch processing, stream processing, event-driven automation, and more. Links are provided to slideshows with further information on these patterns.
This document discusses building a headless e-commerce website. It evaluates different architectures including using a content management system (CMS) and e-commerce platform separately and connecting them via APIs. It recommends using Next.js for the frontend framework, Cockpit for the CMS due to its REST API, and building a custom e-commerce solution connected via GraphQL schema stitching. The document then discusses implementing the user interface with React and Apollo Client and providing a unified GraphQL API to the client.
Integrate drupal 8 with alexa - RakshithRakshith Tb
1) The document discusses how to integrate Drupal 8 websites with Amazon Alexa so that users can interact with websites using voice commands to Alexa.
2) The prerequisites for integration are having an internet accessible Drupal site with a valid SSL certificate and an Amazon developer account.
3) The steps to integrate involve installing an Alexa module for Drupal using Composer, enabling the module, filling in credentials, and creating a custom module to handle Alexa responses.
Site reliability in the serverless age - Serverless Boston MeetupErik Peterson
Just what is this serverless thing anyway and what does it mean for building reliable systems? To answer this, lets explore SRE & DevOps principals and map them to their serverless counterparts and along the way make a few predictions about our serverless future
ActiveCampaign API Developer Talks - Motivating Sales with CodeJordan Skole
The document discusses deploying microservices with AWS Lambda, API Gateway, and Serverless by ActiveCampaign to blink an LED on a Particle Photon device when an email is sent. It will use AWS API Gateway to trigger AWS Lambda functions via Serverless. It provides information about AWS Lambda as an event-driven serverless computing platform, Amazon API Gateway for creating and publishing APIs, and the Serverless Framework for building auto-scaling pay-per-execution event-driven functions. It also lists prerequisites for the project including installing serverless and awscli and configuring AWS credentials.
Building Composable Serverless Apps with IOpipe Erica Windisch
This document discusses building composable serverless applications using the iopipe module.
The iopipe module allows chaining together serverless functions, code sharing, and running functions anywhere including AWS Lambda, Docker, and local CPUs. It provides tools for function composition, monitoring performance metrics, and deploying functions. Composable serverless applications can be built by connecting together inline functions, stored functions, and deployed HTTP endpoints using iopipe.
Building Scalable Services with Amazon API Gateway - Technical 201Amazon Web Services
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. It allows developers to create a unified API that acts as a gateway for multiple backend services, providing features like authentication, throttling, monitoring and documentation. The document discusses Amazon API Gateway and how it can be used with AWS Lambda to build scalable and secure APIs. It also provides a case study of how shipping company Temando used API Gateway and Lambda to migrate their monolithic architecture to a microservices approach.
Application Lifecycle Management in a Serverless World | AWS Public Sector Su...Amazon Web Services
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including ways to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality. We will also demonstrate how you can implement a Continuous Integration and Continuous Delivery pipeline for a serverless application within minutes using AWS CodeStar. Learn More: https://aws.amazon.com/government-education/
EXPERTALKS: Jul 2012 - Build using GradleEXPERTALKS
This document discusses the build tool Gradle. It notes that while Ant and Maven provide build functionality, they have limitations. Gradle addresses these by providing faster, more concise builds with a Groovy DSL. It is flexible, integrates with Ant, supports dependencies, and is programmable. The document provides examples of basic Gradle usage and recommends resources for learning more.
Presented at ServerlessConf NYC 2016.
There are a number of open source projects built around closed platforms like AWS Lambda/Google Cloud Functions and open serverless projects like OpenWhisk and LeverOS. In this talk we'll cover what motivates contributors, what sends them running the other direction, and how you can help your project grow. Building a project on top of closed technology is an extra challenge without insight into where it's going. Learn how to manage continuous integration with your project against your (closed) dependencies and make sure bugs stay fixed.
Wordnik's architecture is built around a large English word graph database and uses microservices and ephemeral Amazon EC2 storage. Key aspects include:
1) The system is built as independent microservices that communicate via REST APIs documented using Swagger specifications.
2) Databases for each microservice are kept small by design to facilitate operations like backups, replication, and index rebuilding.
3) Services are deployed across multiple Availability Zones and regions on ephemeral Amazon EC2 storage for high availability despite individual host failures.
Donald Ferguson - Old Programmers Can Learn New TricksServerlessConf
Presented at ServerlessConf NYC 2016.
This presentation will discuss the experiences of a skilled, enterprise, J2EE team moving to Amazon Web Services to build a new “serverless” solution. This will include motivation for choosing and experience using specific technology (Java, Lambda, S3, RDS, API Gateway, VPC, …) The talk will qualitatively explain the productivity improvement achieved by going “serverless” relative to a more traditional application server design. We will also identify the top three helpful technologies, the three biggest hurdles and our wish list for three new capabilities.
The document discusses serverless architectures and function as a service (FaaS) platforms, providing examples of using Apache OpenWhisk to run Python code that retweets tweets containing a hashtag in response to events and describing how serverless technologies can be used to build chatbots that integrate with services like Amazon Lex. It also outlines some common use cases for serverless computing including real-time processing of tweets and periodic triggers to run code on a schedule.
This document summarizes a presentation about building voice experiences for Alexa. It provides an overview of Alexa, how it works, and steps to build a basic skill in 5 minutes or less. Tips are given for the certification process and monitoring Alexa skills. Links are also provided for additional documentation.
June 2017 Denver AWS Users' Group intro slidesDavid McDaniel
The document provides updates from the June AWS Users' Group meeting, including new resources for the group's Slack channel and sponsorship. It discusses potential workshop topics on migrating workloads and building applications on AWS. Recent AWS announcements are listed, and sponsorship by CloudAcademy is announced, which will provide AWS credits for workshops and free online courses. The next meeting's topic will be on Amazon Redshift and a word of the day is provided.
Swagger: Restful documentation that won't put you to sleepTobias Coetzee
RESTful services are becoming more prevalent in the systems we build and interact with. One of the problems with RESTful services is documentation. The documentation is either non-existent, out-dated and useless or done in Word completed separate from the actual code. Keeping the documentation up to date is also boring.
Swagger.io gives you a way to overcome your RESTful service documentation problems by making your RESTful service’s documentation part of the code. Swagger.io gives you interactive documentation, i.e. no more boring Word documents, and the added bonuses of client SDK generation and discoverability.
Building rest services using aspnetwebapiBrij Mishra
The document discusses building REST services using ASP.NET Web API. It defines REST and its constraints, and explains what ASP.NET Web API is and how it enables writing REST based services. It covers HTTP verbs, defining resources, content negotiation, and provides an example of building a simple ASP.NET Web API application.
Building Modern Web Applications with ASP.NET5Brij Mishra
This document provides an overview and agenda for a presentation on building modern web applications with ASP.NET 5. The presentation covers topics like middleware, dependency injection, configuration, and view components. It includes demos of adding middleware, injecting dependencies, loading configuration from different sources, and using a view component. The goal is to introduce key concepts in ASP.NET 5 and show examples of working with middleware, dependency injection, configuration, and view components.
Build a serverless web app for a theme parkJames Beswick
Welcome to Innovator Island! Opening deck for AWS re:Invent 2019 workshop. Code repo available at: https://github.com/aws-samples/aws-serverless-workshop-innovator-island. This is a 200-level workshop recommended for developers wanting to learn about serverless development with AWS Lambda.
Amazon API Gateway helps developers create and manage APIs to connect backend systems like EC2 and Lambda to mobile, web, and server applications. An API in API Gateway consists of resources and methods. Resources represent logical entities that can be accessed via HTTP verbs like GET and POST. Methods map API requests to integrations with backend systems. API Gateway handles request/response mapping and provides benefits like monitoring, security controls, and scalability without servers. Pricing is based on monthly API calls and data transfer. Caching can reduce costs for frequently requested data.
The document discusses serverless architecture and function as a service (FaaS). It notes that serverless allows developers to deploy code as independent functions that are triggered by events and only charge when functions run, scaling automatically. Functions have no disk access and are stateless, running in ephemeral containers. Serverless fits well for static websites, data stream analysis, file processing, and actions users directly pay for on demand. The document outlines Amazon's serverless ecosystem and provides an example architecture and use cases. It also discusses benefits like lower costs and easier scaling but notes potential drawbacks around vendor lock-in and cold starts.
Aws Amity University Presentation Mar-10-2022Varun Manik
Varun Kumar is a Senior Consultant with experience in cloud engineering and DevOps. He has over 8 years of experience in cloud computing. He holds several AWS certifications and has published research papers. Varun delivers training on AWS cloud topics. In his role, he helps clients with cloud migrations, implementing DevOps practices, and automating AWS resources.
The document discusses serverless architecture patterns. It outlines some core principles of serverless including using functions as the unit of deployment, automatic scaling per request, keeping functions stateless, and designing functions to do a single task. The document then lists several key patterns for serverless applications on AWS and Azure, including for web applications, batch processing, stream processing, event-driven automation, and more. Links are provided to slideshows with further information on these patterns.
This document discusses building a headless e-commerce website. It evaluates different architectures including using a content management system (CMS) and e-commerce platform separately and connecting them via APIs. It recommends using Next.js for the frontend framework, Cockpit for the CMS due to its REST API, and building a custom e-commerce solution connected via GraphQL schema stitching. The document then discusses implementing the user interface with React and Apollo Client and providing a unified GraphQL API to the client.
Integrate drupal 8 with alexa - RakshithRakshith Tb
1) The document discusses how to integrate Drupal 8 websites with Amazon Alexa so that users can interact with websites using voice commands to Alexa.
2) The prerequisites for integration are having an internet accessible Drupal site with a valid SSL certificate and an Amazon developer account.
3) The steps to integrate involve installing an Alexa module for Drupal using Composer, enabling the module, filling in credentials, and creating a custom module to handle Alexa responses.
Site reliability in the serverless age - Serverless Boston MeetupErik Peterson
Just what is this serverless thing anyway and what does it mean for building reliable systems? To answer this, lets explore SRE & DevOps principals and map them to their serverless counterparts and along the way make a few predictions about our serverless future
ActiveCampaign API Developer Talks - Motivating Sales with CodeJordan Skole
The document discusses deploying microservices with AWS Lambda, API Gateway, and Serverless by ActiveCampaign to blink an LED on a Particle Photon device when an email is sent. It will use AWS API Gateway to trigger AWS Lambda functions via Serverless. It provides information about AWS Lambda as an event-driven serverless computing platform, Amazon API Gateway for creating and publishing APIs, and the Serverless Framework for building auto-scaling pay-per-execution event-driven functions. It also lists prerequisites for the project including installing serverless and awscli and configuring AWS credentials.
Building Composable Serverless Apps with IOpipe Erica Windisch
This document discusses building composable serverless applications using the iopipe module.
The iopipe module allows chaining together serverless functions, code sharing, and running functions anywhere including AWS Lambda, Docker, and local CPUs. It provides tools for function composition, monitoring performance metrics, and deploying functions. Composable serverless applications can be built by connecting together inline functions, stored functions, and deployed HTTP endpoints using iopipe.
Building Scalable Services with Amazon API Gateway - Technical 201Amazon Web Services
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. It allows developers to create a unified API that acts as a gateway for multiple backend services, providing features like authentication, throttling, monitoring and documentation. The document discusses Amazon API Gateway and how it can be used with AWS Lambda to build scalable and secure APIs. It also provides a case study of how shipping company Temando used API Gateway and Lambda to migrate their monolithic architecture to a microservices approach.
Application Lifecycle Management in a Serverless World | AWS Public Sector Su...Amazon Web Services
Amazon API Gateway and AWS Lambda provide a new way of building applications by removing servers from the picture. But what does the removal of servers mean to tasks like deployment, monitoring, and debugging? How should you set up blue-green deployments or set alarms? Come learn all this and more, including ways to use AWS services and tools like AWS CodePipeline, AWS CloudFormation, and Amazon CloudWatch to manage your serverless applications at high quality. We will also demonstrate how you can implement a Continuous Integration and Continuous Delivery pipeline for a serverless application within minutes using AWS CodeStar. Learn More: https://aws.amazon.com/government-education/
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!
- Lambdaless refers to a serverless architecture that does not use AWS Lambda functions. It utilizes AWS API Gateway to directly call other AWS services.
- Some examples of how Lambdaless can be used include building a URL shortener service using S3 redirects and access logs or building a basic CRUD API that stores data in DynamoDB.
- Lambdaless is best suited for simple tasks that involve calling a single AWS service API, while more complex business logic requiring data joins or computation should use Lambda functions.
AWS Amplify is a JavaScript library and toolchain that makes it easy to build mobile and web applications that use cloud services. It supports frameworks like React, Vue, Angular and Ionic. It provides a CLI to create and configure AWS services like databases, APIs, authentication, analytics and hosting. Behind the scenes, it automates the creation of resources like Cognito for authentication, DynamoDB tables, Lambda functions, API Gateway, S3 and more. It also provides a JavaScript library to connect front-end apps to these cloud services. The demo shows how to create a React app, add Amplify, add features like authentication and hosting, connect the app to GitHub, deploy features to different environments
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
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.
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).
Building AWS Lambda Applications with the AWS Serverless Application Model (A...Amazon Web Services
Learning Objectives:
- Learn how to build serverless applications in a simple and repeatable manner
- Understand the fundamentals of the AWS Serverless Application Model
- Gain best practices for serverless application development
When building applications with AWS Lambda, you need a way to easily model and deploy the resources in your serverless application such as Lambda functions, APIs, Amazon DynamoDB tables, and more. The AWS Serverless Application Model (AWS SAM) is an open source specification which defines simplified syntax for expressing serverless resources. In this session, we will teach you the essentials of using AWS SAM to model and deploy serverless applications in a simple and repeatable manner. You will learn best practices for using AWS SAM and how to deploy it using services like AWS CloudFormation and AWS CodePipeline.
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.
SRV414 NEW LAUNCH! Introducing AWS CodeStar: The central experience to quickl...Amazon Web Services
Today, small software teams have the ability to disrupt big markets as more and more businesses start to deliver their products as-a-service. The ability for teams to respond to customers and innovate quickly is their key differentiator. In this session, we’d like to introduce a major new addition to our Developer Tools suite, AWS CodeStar, the central experience to launch development projects on AWS. We will provide a hands-on demonstration of how you can use CodeStar to set up an end-to-end software development and continuous delivery toolchain within minutes. Additionally, we will also share Amazon’s best practices for DevOps and how you can accelerate your software development agility.
Eliminate repetitive work by using AWS Serverless Application RepositoryIgor Soroka
These days it is crucial to be conscious of the time spent on setting up the AWS accounts. AWS Serverless Application Repository is a way to deploy parametrized applications written with AWS SAM. However, AWS CDK proved that everything is a code now. So I will show how to unite the tools to deploy and publish the application, potentially saving thousands of hours for the development teams. With Serverless Application Repository, SAM, and CDK, one could set up monitoring and alert for different applications situated in a multi-account environment. I will show how it helped one of my clients save monotonous work hours.
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.
This document summarizes serverless computing using AWS Lambda. It discusses how AWS Lambda allows developers to deploy code without managing infrastructure. Various frameworks are presented that simplify development and deployment of serverless applications using AWS Lambda, including the Serverless framework, Gordon, and the new AWS Serverless Application Model (SAM). Serverless architectures with AWS Lambda provide scalability and pay-per-use pricing for event-driven applications.
AWS Summit Barcelona 2015 - Introducing Amazon API GatewayVadim Zendejas
Amazon API Gateway was created to address challenges customers faced in managing and monitoring APIs. It allows users to host multiple API versions and stages, generate and distribute API keys to developers, and leverage SigV4 to authorize access. API Gateway provides features like throttling, caching, and SDK generation to help manage traffic and access to backend services. It offers a serverless way to deploy APIs without having to provision or manage servers.
Migrate your Existing Express Apps to AWS Lambda and Amazon API GatewayAmazon Web Services
This webinar teaches you how to use Amazon API Gateway and AWS Lambda to run your existing Express.js applications with just a few lines of code. We will introduce three new features in API Gateway: proxy integrations, greedy paths, and the ANY HTTP method. Combining these features, you can configure API Gateway in a few simple clicks via the management console and express all of your logic and API definition in code.
Learning Objectives:
1. Easier migration to API Gateway and Lambda
2. New API Gateway Catch-all methods
Who Should Attend: Developers
Continuous Integration e Delivery per (r)innovare lo sviluppo software e la g...Amazon Web Services
This document discusses continuous integration and delivery practices using AWS services like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. It summarizes how these services can be used together in a software development pipeline to automate building, testing, and deploying code changes. It also discusses how infrastructure as code with CloudFormation templates allows infrastructure to be provisioned and managed like code. The document provides an example of how a company implemented continuous integration of their infrastructure stacks using CloudFormation across different environments.
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
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
28. Key Learnings
• Direct API Gateway Integrations are not hard
• Its all just Cloud Formation J
• All the hard work is done by the API Method
• Using AWS::Apigateway::Deployment is tricky
• Deploys first time but never again since it never changes
• Needed to use aws-cli to create new deployments L
29. Zero Code does work!
We can create solutions
with ZERO CODE !
30. References
• The blog - https://blog.walmsles.io/serverless-integration-zero-code
• The Github Repo – https://github.com/walmsles/zero-code-api-sqs
• Farrah Campbell – https://www.youtube.com/watch?v=mItY0tI-C_o&t=8s
• Ben Kehoe – https://www.youtube.com/watch?v=8Rzv68K8ZOY
• Alex Debrie – https://www.alexdebrie.com/posts/api-gateway-elements/