How and why test Azure Front Door with AWS Lambda & PowerShell? | Osman Sahin...UK DevOps Collective
Osman Sahin, a regular attendee of our events, explains how and why he is using AWS Lambda & PowerShell to test the new Azure Front Door service.
Presented Wednesday 28th July 2019 at the London PowerShell User Group Meetup hosted by dotdigital Group.
Connect with Osman Sahin:
- LinkedIn: https://www.linkedin.com/in/osmanysahin/
Thanks to dotdigital Group (https://dotdigital.com / https://twitter.com/dotdigital) for providing the venue, food and drinks. We very much appreciate your continued support of our community of PowerShell & DevOps tech enthusiasts.
Join our next event at https://www.meetup.com/PowerShell-London-UK/. We are running at least one Meetup every month.
#PowerShell #Azure #AWS #DevOps
These are the slides of the second talk of the second Tech Talk@TransferWise Singapore, which happened on the 1st of March 2018.
We take a look at what Serverless Computing is, find out what we can do with Amazon Web Services Lambda and when it can be useful. We also explore how it has evolved for the past 3 years and learn about its remaining limitations.
This document is a presentation about serverless systems and architectures. It introduces serverless computing as a highly abstracted cloud computing model where infrastructure is fully managed by a third party. Key benefits of serverless include no server management, easy scalability, and pay-per-use pricing. The presentation demonstrates serverless concepts like AWS Lambda and event-driven architectures using examples and demos. It also discusses developing serverless applications locally and using frameworks like Spring with serverless.
Serverless needs no introduction these days. It is viewed as a magic recipe for organisations moving to cloud and for those moving beyond the container hell.
LEGO.com was migrated from a legacy monolith eCommerce platform onto serverless on AWS. This employed serverless and managed services at its core within an agile development process. Is early success with serverless a springboard to future possibilities? Does serverless really deliver what it promises?
We will look at how serverless helped in the migration and what can it do to the organisation beyond its initial adoption!
Rovshan Musayev presented on building a serverless self-service framework using AWS Lambda. He discussed how the need for automation led to creating a self-service model where teams can provision resources without asking. The framework uses AWS services like API Gateway, Lambda, SQS, and DynamoDB along with CI/CD tools. Testing is done through mocking and unit testing. Lessons learned include the importance of testing from the start and avoiding long living branches in source control.
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.
MEAN STACK : Create scalable applications that are optimized for cloud deployment. Streamline development by using a single language across the entire application Simplify deployment with a built-in web server Manage large amounts of data with the flexibility of MongoDB
When building an application from scratch, employing a consistent, standardized software stack is vital.
Duration:60 days
How and why test Azure Front Door with AWS Lambda & PowerShell? | Osman Sahin...UK DevOps Collective
Osman Sahin, a regular attendee of our events, explains how and why he is using AWS Lambda & PowerShell to test the new Azure Front Door service.
Presented Wednesday 28th July 2019 at the London PowerShell User Group Meetup hosted by dotdigital Group.
Connect with Osman Sahin:
- LinkedIn: https://www.linkedin.com/in/osmanysahin/
Thanks to dotdigital Group (https://dotdigital.com / https://twitter.com/dotdigital) for providing the venue, food and drinks. We very much appreciate your continued support of our community of PowerShell & DevOps tech enthusiasts.
Join our next event at https://www.meetup.com/PowerShell-London-UK/. We are running at least one Meetup every month.
#PowerShell #Azure #AWS #DevOps
These are the slides of the second talk of the second Tech Talk@TransferWise Singapore, which happened on the 1st of March 2018.
We take a look at what Serverless Computing is, find out what we can do with Amazon Web Services Lambda and when it can be useful. We also explore how it has evolved for the past 3 years and learn about its remaining limitations.
This document is a presentation about serverless systems and architectures. It introduces serverless computing as a highly abstracted cloud computing model where infrastructure is fully managed by a third party. Key benefits of serverless include no server management, easy scalability, and pay-per-use pricing. The presentation demonstrates serverless concepts like AWS Lambda and event-driven architectures using examples and demos. It also discusses developing serverless applications locally and using frameworks like Spring with serverless.
Serverless needs no introduction these days. It is viewed as a magic recipe for organisations moving to cloud and for those moving beyond the container hell.
LEGO.com was migrated from a legacy monolith eCommerce platform onto serverless on AWS. This employed serverless and managed services at its core within an agile development process. Is early success with serverless a springboard to future possibilities? Does serverless really deliver what it promises?
We will look at how serverless helped in the migration and what can it do to the organisation beyond its initial adoption!
Rovshan Musayev presented on building a serverless self-service framework using AWS Lambda. He discussed how the need for automation led to creating a self-service model where teams can provision resources without asking. The framework uses AWS services like API Gateway, Lambda, SQS, and DynamoDB along with CI/CD tools. Testing is done through mocking and unit testing. Lessons learned include the importance of testing from the start and avoiding long living branches in source control.
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.
MEAN STACK : Create scalable applications that are optimized for cloud deployment. Streamline development by using a single language across the entire application Simplify deployment with a built-in web server Manage large amounts of data with the flexibility of MongoDB
When building an application from scratch, employing a consistent, standardized software stack is vital.
Duration:60 days
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.
The Journey To Serverless At Home24 - reflections and insights AWS Germany
Presentation "The Journey To Serverless At Home24" from Çağatay Gürtürk & Martin Lindenberg at the AWS E-Business Web Day for windows applications. All videos and presentations can be found here: http://amzn.to/2ds3aMX
This document provides an introduction to AWS Lambda and the Serverless Framework. It defines serverless computing and discusses key differences between Platform as a Service (PaaS) and serverless models. AWS Lambda is introduced as Amazon's serverless compute platform, and other serverless platform providers are listed. The Serverless Framework is described as a development toolkit for building, managing and deploying serverless applications. Sample code and a serverless.yml configuration file are shown.
Using AWS Lambda for Infrastructure Automation and BeyondSoftServe
This document provides an overview of AWS Lambda, including its history, supported languages, use cases, performance, pricing, and alternatives. AWS Lambda allows writing code that runs in response to events and automatically manages the computing resources required to run the code. It is useful for tasks like log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. The document also includes a demo of using AWS Lambda for infrastructure automation with Route53.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
This document summarizes a presentation about choosing the right messaging service for serverless applications. It discusses serverless and event-driven architectures, and how functions are executed in response to events through messaging services. It then covers the main AWS messaging services: Amazon SQS for message queues, Amazon SNS for publish/subscribe, and Amazon EventBridge for managing events. It provides examples of how these services can be used with Lambda and discusses factors for selecting the appropriate service. Monitoring serverless applications is also discussed.
This document summarizes a presentation about best practices for AWS ECS and serverless architectures. It discusses the challenges of traditional infrastructures and benefits of containerization. It provides an overview of AWS ECS for container management and auto-scaling capabilities. It also introduces AWS Lambda and API Gateway for building serverless applications, including their advantages of being cloud-native and cost-effective with minimal infrastructure to manage. Some limitations of serverless architectures are also outlined. The conclusion encourages embracing immutable infrastructure, event-driven computing, and focusing on business logic over infrastructure when possible.
Go Serverless - Golang NE February 2018Mark Hemmings
An exploration of serverless Go. Specifically focussing on AWS and tools such as Apex and Up. Extra material can be found here: https://mhemmings.co.uk/blog/go-serverless-golangne/
The document discusses serverless architectures and focuses on Node.js, AWS Lambda, and the Serverless Framework. It provides an overview of serverless architectures and their advantages like pay-per-use and easy scaling. It also describes Node.js, AWS Lambda functions, and how the Serverless Framework can help manage serverless projects. Some disadvantages discussed are limitations on AWS Lambda functions and challenges with debugging serverless applications. The document concludes that serverless can be cost effective for event-driven workloads but may not be a good fit for all projects.
The document provides an overview of AWS serverless architecture and its core concepts. It discusses AWS Lambda for running code without servers, AWS API Gateway for creating APIs, and AWS DynamoDB for storing data. It also covers how to integrate Lambda with API Gateway by creating REST APIs with resources and methods that execute Lambda functions in response to events. A demo is included on integrating Lambda with API Gateway.
The document discusses AWS Lambda, a serverless computing service that allows users to upload code that can be executed in response to events. It provides an overview of Lambda's advantages like flexible scaling and pay-per-use model. The document then explains how to create a Lambda function by selecting a programming language, coding the function, configuring settings like memory and timeout, and attaching triggers to specify when the function should execute. Finally, it promises a real-world example to demonstrate Lambda.
Everything fails all the time! A quote repeated by many everyday. How does it feel when things fail in production? How do you recover from such situations? How can you make sure they don’t repeat? All these discussed with real production incidents and the measures taken to mitigate such failures. We will also look at few of the most common failure possibilities in a serverless ecosystem.
Remember, when everything fails all the time, you must learn something everyday to be operational all the time!
The document discusses the Serverless Framework, which is a build tool that makes it easy to setup and invoke Lambda functions on AWS. It allows developers to manage multiple Lambda functions across different regions and stages, and share code between functions. The Serverless Framework supports Node.js, Python, Java/Scala and other runtimes. Functions are defined in a serverless.yml file along with triggers like HTTP events, S3 uploads, schedules and more. The framework handles deployments to AWS and other cloud providers.
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.
20180111 we bde-bs - serverless url shortenerLuca Bianchi
This document discusses serverless technologies and architectures. It introduces the speaker and their work with Neosperience on building digital customer experience applications using AWS serverless technologies. It then covers topics like serverless meetups, the serverless manifesto, events and triggers, development tools, and a demo of building a serverless URL shortener application using AWS Lambda, DynamoDB, API Gateway and other services.
Azure Functions is a serverless compute service that allows code to run without managing infrastructure. It supports multiple languages like C#, Java, JavaScript, and Python. Functions can be triggered on HTTP requests, scheduled times, or changes to storage like Cosmos DB, Blob, or Queue.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
Serverless computing is one of the hottest trends in software second only to containers. But most serverless function platforms suffer from vendor lock-in and a poor developer experience. Ideally, companies should be able to run their functions on any cloud choosing the one that offers the best value with the knowledge that they could change providers if need be. Developers should be able to build and test on their laptops knowing that the functions platform they’re developing on locally is same platform that’s running in the cloud—not some approximation or emulation. The purpose of the recently announced Fn project is to respond to these needs and to deliver an open source Apache 2.0 licensed functions platform that can run anywhere: laptop, server, cloud. In this session we’ll introduce Fn, its polyglot function support, and its Docker-based architecture that allows it to run on any platform and with any scheduler including Kubernetes, Mesos, and Swarm.
Compute Without Servers – Building Applications with AWS Lambda - Technical 301Amazon Web Services
AWS Lambda enables developers to build scalable applications without managing servers. Come learn how Lambda's event driven approach helps build backend ingestion systems, real time stream processing, and scalable API backends. We will deep dive into the different approaches that customers have taken to building applications with Lambda, typical architectures that customers use Lambda for, and best practices for authoring, deploying, and managing Lambda functions.
Speaker: Ajay Nair, Sr Product Manager Lambda, Amazon Web Services
Crio.do - Deployment on AWS MasterclassDhaval Nagar
The document summarizes a session on building evolvable systems on AWS. It discusses using serverless architectures and AWS services to build systems that can evolve quickly and focus on new features. Key points include using AWS services for web applications, mobile backends, IoT, and building everything in an event-driven way using services like Lambda, API Gateway, DynamoDB and Step Functions for orchestration. It emphasizes owning less infrastructure and building more features.
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.
The Journey To Serverless At Home24 - reflections and insights AWS Germany
Presentation "The Journey To Serverless At Home24" from Çağatay Gürtürk & Martin Lindenberg at the AWS E-Business Web Day for windows applications. All videos and presentations can be found here: http://amzn.to/2ds3aMX
This document provides an introduction to AWS Lambda and the Serverless Framework. It defines serverless computing and discusses key differences between Platform as a Service (PaaS) and serverless models. AWS Lambda is introduced as Amazon's serverless compute platform, and other serverless platform providers are listed. The Serverless Framework is described as a development toolkit for building, managing and deploying serverless applications. Sample code and a serverless.yml configuration file are shown.
Using AWS Lambda for Infrastructure Automation and BeyondSoftServe
This document provides an overview of AWS Lambda, including its history, supported languages, use cases, performance, pricing, and alternatives. AWS Lambda allows writing code that runs in response to events and automatically manages the computing resources required to run the code. It is useful for tasks like log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. The document also includes a demo of using AWS Lambda for infrastructure automation with Route53.
Choosing the right messaging service for your serverless app [with lumigo]Dhaval Nagar
This document summarizes a presentation about choosing the right messaging service for serverless applications. It discusses serverless and event-driven architectures, and how functions are executed in response to events through messaging services. It then covers the main AWS messaging services: Amazon SQS for message queues, Amazon SNS for publish/subscribe, and Amazon EventBridge for managing events. It provides examples of how these services can be used with Lambda and discusses factors for selecting the appropriate service. Monitoring serverless applications is also discussed.
This document summarizes a presentation about best practices for AWS ECS and serverless architectures. It discusses the challenges of traditional infrastructures and benefits of containerization. It provides an overview of AWS ECS for container management and auto-scaling capabilities. It also introduces AWS Lambda and API Gateway for building serverless applications, including their advantages of being cloud-native and cost-effective with minimal infrastructure to manage. Some limitations of serverless architectures are also outlined. The conclusion encourages embracing immutable infrastructure, event-driven computing, and focusing on business logic over infrastructure when possible.
Go Serverless - Golang NE February 2018Mark Hemmings
An exploration of serverless Go. Specifically focussing on AWS and tools such as Apex and Up. Extra material can be found here: https://mhemmings.co.uk/blog/go-serverless-golangne/
The document discusses serverless architectures and focuses on Node.js, AWS Lambda, and the Serverless Framework. It provides an overview of serverless architectures and their advantages like pay-per-use and easy scaling. It also describes Node.js, AWS Lambda functions, and how the Serverless Framework can help manage serverless projects. Some disadvantages discussed are limitations on AWS Lambda functions and challenges with debugging serverless applications. The document concludes that serverless can be cost effective for event-driven workloads but may not be a good fit for all projects.
The document provides an overview of AWS serverless architecture and its core concepts. It discusses AWS Lambda for running code without servers, AWS API Gateway for creating APIs, and AWS DynamoDB for storing data. It also covers how to integrate Lambda with API Gateway by creating REST APIs with resources and methods that execute Lambda functions in response to events. A demo is included on integrating Lambda with API Gateway.
The document discusses AWS Lambda, a serverless computing service that allows users to upload code that can be executed in response to events. It provides an overview of Lambda's advantages like flexible scaling and pay-per-use model. The document then explains how to create a Lambda function by selecting a programming language, coding the function, configuring settings like memory and timeout, and attaching triggers to specify when the function should execute. Finally, it promises a real-world example to demonstrate Lambda.
Everything fails all the time! A quote repeated by many everyday. How does it feel when things fail in production? How do you recover from such situations? How can you make sure they don’t repeat? All these discussed with real production incidents and the measures taken to mitigate such failures. We will also look at few of the most common failure possibilities in a serverless ecosystem.
Remember, when everything fails all the time, you must learn something everyday to be operational all the time!
The document discusses the Serverless Framework, which is a build tool that makes it easy to setup and invoke Lambda functions on AWS. It allows developers to manage multiple Lambda functions across different regions and stages, and share code between functions. The Serverless Framework supports Node.js, Python, Java/Scala and other runtimes. Functions are defined in a serverless.yml file along with triggers like HTTP events, S3 uploads, schedules and more. The framework handles deployments to AWS and other cloud providers.
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.
20180111 we bde-bs - serverless url shortenerLuca Bianchi
This document discusses serverless technologies and architectures. It introduces the speaker and their work with Neosperience on building digital customer experience applications using AWS serverless technologies. It then covers topics like serverless meetups, the serverless manifesto, events and triggers, development tools, and a demo of building a serverless URL shortener application using AWS Lambda, DynamoDB, API Gateway and other services.
Azure Functions is a serverless compute service that allows code to run without managing infrastructure. It supports multiple languages like C#, Java, JavaScript, and Python. Functions can be triggered on HTTP requests, scheduled times, or changes to storage like Cosmos DB, Blob, or Queue.
Let's Talk About Serverless - Focusing on AWS LambdaOkis Chuang
This document provides an overview of serverless computing using AWS Lambda. It discusses key concepts such as Lambda functions being stateless and event-triggered. Examples are given of using Lambda for various use cases including user registration with DynamoDB and API Gateway. Limitations around resources and retries are also covered. The document concludes with pros and cons of the serverless model and an example of how it could be applied to a security product.
Serverless computing is one of the hottest trends in software second only to containers. But most serverless function platforms suffer from vendor lock-in and a poor developer experience. Ideally, companies should be able to run their functions on any cloud choosing the one that offers the best value with the knowledge that they could change providers if need be. Developers should be able to build and test on their laptops knowing that the functions platform they’re developing on locally is same platform that’s running in the cloud—not some approximation or emulation. The purpose of the recently announced Fn project is to respond to these needs and to deliver an open source Apache 2.0 licensed functions platform that can run anywhere: laptop, server, cloud. In this session we’ll introduce Fn, its polyglot function support, and its Docker-based architecture that allows it to run on any platform and with any scheduler including Kubernetes, Mesos, and Swarm.
Compute Without Servers – Building Applications with AWS Lambda - Technical 301Amazon Web Services
AWS Lambda enables developers to build scalable applications without managing servers. Come learn how Lambda's event driven approach helps build backend ingestion systems, real time stream processing, and scalable API backends. We will deep dive into the different approaches that customers have taken to building applications with Lambda, typical architectures that customers use Lambda for, and best practices for authoring, deploying, and managing Lambda functions.
Speaker: Ajay Nair, Sr Product Manager Lambda, Amazon Web Services
Crio.do - Deployment on AWS MasterclassDhaval Nagar
The document summarizes a session on building evolvable systems on AWS. It discusses using serverless architectures and AWS services to build systems that can evolve quickly and focus on new features. Key points include using AWS services for web applications, mobile backends, IoT, and building everything in an event-driven way using services like Lambda, API Gateway, DynamoDB and Step Functions for orchestration. It emphasizes owning less infrastructure and building more features.
AWS Lambda is a serverless compute service that runs code in response to events, automatically managing resources. It handles capacity, scaling, deployment, monitoring, logging, and security patching. Developers pay only for the compute time used to run their code, avoiding the need to provision and manage servers. Lambda functions can be triggered by events from services like API Gateway or S3 and are written in languages like Node.js, Python, Java, and C#.
What's better than Microservices? Serverless MicroservicesAlan Williams
Serverless isn't a fad, it's a real and viable architectural principle for developing and deploying microservices with very little operational overhead. Learn why and how to get started and be successful.
This document provides an overview of a serverless workshop on building backend APIs using AWS Lambda, Amazon DynamoDB, and Amazon API Gateway. It discusses serverless computing and its benefits over traditional infrastructure management. The workshop consists of 4 modules that teach participants how to use the Serverless Application Model to define a serverless REST API, implement continuous delivery pipelines with AWS CodePipeline and CodeBuild, integrate AWS X-Ray for debugging, and set up multiple environment pipelines for integration testing.
Learn how Autodesk is transforming its services architecture to lightweight microservices using a combination of Amazon Web Services and Apigee. Topic include:
- real world microservices examples
- how to use AWS Lambda and Apigee to build serverless APIs
- how to manage microservices in the cloud
This document discusses serverless architectures on AWS. It begins by defining serverless computing as an approach that focuses on functionality rather than servers, and allows developers to build applications without having to manage servers. The document then covers strategies for serverless computing like Backend as a Service (BaaS) and Function as a Service (FaaS), highlighting AWS Lambda as a popular FaaS option. Both benefits and drawbacks of the serverless approach are presented. Example uses of serverless technologies on AWS like AWS Lambda, Amazon S3, DynamoDB, and API Gateway are also provided.
Whizlabs webinar - Deploying Portfolio Site with AWS ServerlessDhaval Nagar
In this session, we go through the AWS Serverless eco-system and demo of how to deploy a static site using the following services.
Serverless Framework
Route53
AWS Certification Manager
S3
CloudFront
API Gateway
DynamoDB
SNS
Serverless applications allow developers to focus on writing code without worrying about managing infrastructure. With serverless, there is zero administration, no provisioning is needed, and applications can scale seamlessly. Some key benefits of the serverless approach are that it allows for rapid innovation and focusing on business value. Serverless uses building blocks like AWS API Gateway and AWS Lambda. API Gateway handles authorization and scaling for APIs, while Lambda allows code to be run in a serverless environment and scales automatically based on usage.
Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities.
In this session, you will learn about the benefits of serverless architectures and the basics of the serverless stack AWS provides. We will also walk through how you can use serverless architectures for everything from data processing to mobile and web backends.
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.
Going Serverless with AWS Lambda at ReportGardenJay Gandhi
This document discusses using AWS Lambda for serverless web scraping. It provides an example use case of scraping business directory websites to check for incorrect or missing business listings. Traditionally this would require writing separate code for each directory, but with serverless it can be done more flexibly. The benefits of the serverless approach include increased scalability, reduced costs since functions only run when needed, and easier integration with other AWS services. The document demonstrates setting up a serverless framework for asynchronous web scraping using AWS Lambda, SNS, and API Gateway.
What is AWS?
Most Popular AWS Products
What is Serverless Architecture?
Asynchronous Serverless Model
Synchronous Serverless Model
Amazon Lambda
https://notebookbft.wordpress.com/
AWS March 2016 Webinar Series Getting Started with Serverless ArchitecturesAmazon Web Services
Serverless Architectures allow you to build and run applications and services without having to manage the infrastructure. With serverless architectures on AWS, 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 also run through a demo setting up a web application using this architecture, and 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
Who Should Attend:
• Developers, web developers
by Rahul Sareen, Sr. IoT Consultant, AWS Professional Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more. In this session, you’ll learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We’ll introduce you to the basics of building with Lambda and how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We’ll also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.
Skillenza Build with Serverless Challenge - Advanced Serverless ConceptsDhaval Nagar
Skillenza is back with another game-changing virtual hackathon for you. Seize this amazing opportunity to create projects on serverless architecture. For those of you who are not acquainted with it, serverless architectures are system designs that use third-party services to build and run applications.
As developers, this helps you to gain better scalability and flexibility without needing any administration to manage infrastructure. So you can build quicker and at a reduced cost as well.
https://skillenza.com/challenge/build-with-serverless-online-hackathon-aws
Getting Started with AWS Lambda and the Serverless Cloud - AWS Summit Cape T...Amazon Web Services
This document provides an overview and introduction to AWS Lambda and serverless computing. It discusses AWS compute offerings like EC2, ECS, and Lambda. It explains benefits of Lambda like no servers to provision, automatic scaling, and built-in availability. Common use cases for Lambda are also presented like web applications, backends, data processing, chatbots, Alexa skills, and IT automation. Best practices for Lambda like versioning, networking, externalizing configuration, and monitoring with X-Ray are covered. The document concludes that Lambda is well-suited for modern application architectures.
Getting Started with AWS Lambda and the Serverless Cloud by Jim Tran, Princip...Amazon Web Services
1) The document provides an overview of AWS Lambda and serverless computing on AWS, including how AWS Lambda works, common use cases, and best practices.
2) It explains that AWS Lambda allows users to run code in response to events without provisioning or managing servers, and only pays for the compute time used.
3) The document demonstrates sample serverless architectures using AWS Lambda along with other AWS services, and provides guidance on best practices like using versions and aliases, function networking, authorization, and monitoring.
AWS re:Invent 2016: Wild Rydes Takes Off – The Dawn of a New Unicorn (SVR309)Amazon Web Services
Wild Rydes (www.wildrydes.com) needs your help! With fresh funding from its seed investors, Wild Rydes is seeking to build the world’s greatest mobile/VR/AR unicorn transportation system. The scrappy startup needs a first-class webpage to begin marketing to new users and to begin its plans for global domination. Join us to help Wild Rydes build a website using a serverless architecture. You’ll build a scalable website using services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon S3. Join this workshop to hop on the rocket ship!
To complete this workshop, you'll need:
Your laptop
AWS Account
AWS Command Line Interface
Google Chrome
git
Text Editor
Similar to WebDriver Lamda - Next Gen Scalable Test (20)
This document discusses consumer-driven contract testing and introduces Pact, a testing framework that uses consumer-driven contracts. It poses four problems around evolving services without breaking clients. It then describes the basic flow of consumer-driven contracts where the consumer generates and shares a contract with the provider to test against. Pact enables evaluating contracts throughout a provider's development cycle to ensure fast, confident and less error-prone continuous delivery of services.
This document discusses automating modern web applications. It covers setting up the necessary tools like Java, Maven/Gradle, Selenium, Chrome, Firefox, Edge, and their drivers. It also discusses recording tests by interacting with elements and saving the commands. Additional sections cover dealing with flakiness, using different locator strategies like IDs, names, XPath, and implementing waits. Finally, it introduces the Taiko library for smarter test automation and provides a demo of setting it up and writing tests.
This document discusses testing strategies for chatbots like Bumblebee. It recommends using a mixture of manual and automated testing techniques. For manual testing, it suggests crowd testing without predefined rules to allow exploratory testing, as well as A/B testing. Automated testing should include regression, functional, conversation flow, smoke, and load tests. The test framework mentioned is Jest with a fluent interface using promises. Verification focuses on building functionality correctly while validation focuses on meeting requirements.
This document discusses blockchain technology, conversational agents, and artificial intelligence/machine learning. It provides an overview of how blockchain uses a decentralized ledger system and creates trust through proof-of-work. It also describes how conversational agents like ALICE were early examples that used natural language processing to interact. Finally, it defines artificial intelligence as the ability of computers to exhibit intelligence and machine learning as the ability of machines to learn from data using algorithms.
This document summarizes information from a presentation on pen testing Android apps. It discusses the Android application development cycle, the OWASP Mobile Top 10 security risks, additional focus areas beyond the top 10 like secure data storage and preventing reverse engineering. It also outlines some Android Pie security enhancements like the hardware security module and defaulting to HTTPS. The presentation concludes by thanking the audience.
The document discusses testing natural language processing (NLP) projects. It begins by defining NLP as the ability of computers to understand human language. It then discusses challenges in testing NLP due to the many constructs in natural language and context-dependence. Different types of NLP applications are described, including text classification and chatbots. Methods are suggested for testing NLP projects, such as working closely with domain experts and considering unusual input combinations. Metrics for evaluating NLP algorithms are provided. Examples of inputs for stress testing algorithms and making sure they remain accurate are given. Objectives and challenges for testing user-friendly error messages in chatbots are outlined.
Puppeteer allows controlling headless or headed Chrome over the DevTools Protocol. It provides a high-level API for common tasks like taking screenshots, navigating pages, and interacting with page elements. The Chrome DevTools Protocol exposes APIs that allow tools to instrument, inspect, debug and profile the browser. Puppeteer uses this to provide convenient methods for automating browser actions and interacting with pages. Existing Selenium tests can leverage the DevTools Protocol by connecting to the browser instance controlled by ChromeDriver.
Chaos Engineering is the practice of experimenting on distributed systems to build confidence in their ability to withstand turbulent conditions in production. It involves hypothesizing a system's steady state, varying real world events through experiments run directly in production environments, and automating continuous experiments to minimize impact. Resources for learning more about chaos engineering include the Chaos Toolkit and an awesome-list of chaos engineering tools and resources.
This document discusses the evolution of software testing and how artificial intelligence is being applied to improve testing. It provides examples of intelligent testing tools that use AI to reduce flaky tests, increase test coverage, prioritize test cases, and predict failures. Such tools apply techniques like machine learning algorithms, computer vision, and natural language processing to testing tasks. The document also compares several popular AI-based testing tools and their pricing structures.
This document discusses testing iOS apps using parallel simulators in Appium. It provides an overview of the evolution of iOS automation backends from UIAutomation to XCUI and XCTest. It also introduces tools like FBSimulatorControl that can boot and manage multiple iOS simulators to run tests in parallel. Finally, it mentions a demo of using one Appium server with multiple drivers to test apps on different simulators simultaneously.
Taurus is a tool for performance testing that relies on JMeter and Gatling as underlying testing frameworks. It provides simplified scripting, reporting and scaling capabilities, and can integrate with Jenkins and BlazeMeter. Performance testing with Taurus is important to identify bottlenecks, discover maximum concurrent users, find bad influences on performance, and know hardware limits. The presentation demonstrates using Taurus with Gatling scripts and its integration with Jenkins and BlazeMeter.
The document discusses principles for writing maintainable tests such as the single responsibility principle (SRP), open/close principle, and others. It provides examples of applying these principles when testing an Active Admin app using page objects and discusses how breaking page objects into smaller page objects can still violate SRP. The document advocates using the right abstractions by grouping tests by intent rather than by page and provides examples using the Gauge testing framework. It also discusses test pyramids and how the layer tests are written is important for confidence in tests.
This document discusses the importance of continuous security testing throughout the development process. It recommends adopting a security test pyramid approach similar to testing principles like test-driven development. Responsibility for security testing should be shared between developers, testers, and external communities. The document reviews some recent security breaches like Cross-Site Scripting attacks on eBay and data leaks from Cloudbleed, noting vulnerabilities that allowed these threats were not caught earlier. Various tools for security testing like dependency checks, static analysis, and OWASP ZAP are presented, along with caveats to keep in mind regarding tools. The key takeaways are to incorporate security testing into all phases of development and think like an attacker when testing.
Automate Web or Mobile Analytics using TrakMaticVodqaBLR
This document discusses web and mobile analytics tools and compares Fiddler/Charles to TrakMatic. It explains how TrakMatic works by starting a server to store analytics data that can then be viewed or deleted, either all data or in a filtered form. The document suggests reasons for using TrakMatic, offers a demo, and provides contact information to get in touch, before concluding with thanks.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
1. WebDriver Lambda - Next Gen Scalable Test
vodQA 2018 Bangalore
Varuna Srivastava
varunatester
varunas@thoughtworks.com
Vinayaka Mayura
vinayakamayura
vinaymgg@thoughtworks.com
2. Agenda
● Current Problem in Scaling tests
● Why/What AWS Lambda
● Lambda function
● AWS Lambda in UI testing
● Demo
● ROI
● Limitations
● References
3. What to expect from today’s session
● Basics of AWS Lambda
● How to create a Lambda function.
● Demo
● Stitching AWS Lambda to scale ui tests
● Advantages of AWS Lambda
● Limitations for AWS Lambda
4. What to not expect from today’s session
● Deep dive on serverless architecture
● Headless chrome
● Grid issues
16. What is Lambda Function
● Code
● Configuration
● Stateless
● Dependencies
17. How to invoke a lambda function
● Invoked via AWS console
● Invoked using AWS CLI
● Invoked via amazon API Gateway
● Invoked via event triggered using AWS Lambda
18. Ways to invoke a Lambda function
● RequestResponse Synchronous
● Events Asynchronous
24. ROI
● Continuous Scalability: Achieving Massive Scale Not Massive Cost
● Improved Latency
● Lower Cost
● Pay only code runs
25. AWS Lambda Limitations
● Maximum execution duration per request
● Concurrent executions
● Aws Lambda cold starts
● Lambda is best for short processes.
26. See you in next vodQA with
● Rich reporting
● Multiple browser support
● Hands on execution on tests in lambda
Flexible Scaling
High Availability
No idle capacity
No server management
Let your service providers manage the scaling challenges. No need to fire alerts or write scripts to scale up and down. Handle quick bursts of traffic and weekend lulls the same way -- with peace of mind.
Function-as-a-service compute and managed services charged based on usage rather than pre-provisioned capacity. You can have complete resource utilization without paying a cent for idle time. The results? 90% cost-savings over a cloud VM, and the satisfaction of knowing that you never pay for resources you don’t use.
Deploy code without provisioning anything beforehand, or managing anything afterward. There is no concept of a fleet, an instance, or even an operating system. No more bothering the Ops department.
Not supported languages
Event Triggered -> Object Created in S3
Synchronous -> Request Response
Asynchronous -> Event
A service (e.g. S3) publishes an event to Lambda and invokes the function
Pull - Lambda polls streaming event source (Kinesis, DynamoDB) and invokes the function when new data arrives
Event Triggered -> Object Created in S3
Synchronous -> Request Response
Asynchronous -> Event
A service (e.g. S3) publishes an event to Lambda and invokes the function
Pull - Lambda polls streaming event source (Kinesis, DynamoDB) and invokes the function when new data arrives
Life of the lambda function is 5 mins
Life of the lambda function is 5 mins
How to execute
Concurrency: able to scale up to 20,000 concurrent Lambda
executions in testing
One simulation of 20 million mortgages ran in 1.5 hours, more
than 4X faster than existing process