This talk will help you understand better how AWS help you to create a serverless solution using SQS, Lambda function, API gateway. This talk shows how to use it both in the developer field and DevOps
This document summarizes serverless design patterns and tools. It begins with a brief history of cloud computing and an introduction to serverless computing. Common serverless use cases like event-driven applications and stream processing are described. Several serverless patterns are then outlined, such as hosting a static website or REST API using AWS Lambda and API Gateway. Finally, the document demonstrates a serverless application and discusses future directions for serverless technologies.
Azkaban is a batch workflow job scheduler created by LinkedIn to run Hadoop jobs. It features a simple web UI, scheduling of workflows, tracking of user actions, and email alerts. While it has a small community and only time-based scheduling, it can run command-line processes making it a good alternative to cron. The architecture includes a solo server mode for investigation and a two server mode for production.
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 architectures rely on third-party services and remote procedure calls rather than maintaining servers. Azure Functions is a serverless computing service that allows developers to write code without managing infrastructure. Functions can be triggered by events and connected to other Azure services through bindings. Functions scale automatically based on demand and only charge for execution time and resources used.
The document discusses visual analysis using Google Cloud Platform. It provides an overview of Google Cloud services including App Engine, Container Engine, Compute Engine, Datastore, Cloud SQL, and Spanner for building and deploying applications at scale. It also mentions Machine Learning services for tasks like natural language processing, image analysis, and translation. The presentation then demonstrates a photo sharing application built on these services and discusses ways to enhance it further using App Engine Flex, video processing, document parsing, BigQuery, and analytics. It concludes by inviting Python developers interested in visual analysis to discuss job opportunities.
This document summarizes serverless design patterns and tools. It begins with a brief history of cloud computing and an introduction to serverless computing. Common serverless use cases like event-driven applications and stream processing are described. Several serverless patterns are then outlined, such as hosting a static website or REST API using AWS Lambda and API Gateway. Finally, the document demonstrates a serverless application and discusses future directions for serverless technologies.
Azkaban is a batch workflow job scheduler created by LinkedIn to run Hadoop jobs. It features a simple web UI, scheduling of workflows, tracking of user actions, and email alerts. While it has a small community and only time-based scheduling, it can run command-line processes making it a good alternative to cron. The architecture includes a solo server mode for investigation and a two server mode for production.
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 architectures rely on third-party services and remote procedure calls rather than maintaining servers. Azure Functions is a serverless computing service that allows developers to write code without managing infrastructure. Functions can be triggered by events and connected to other Azure services through bindings. Functions scale automatically based on demand and only charge for execution time and resources used.
The document discusses visual analysis using Google Cloud Platform. It provides an overview of Google Cloud services including App Engine, Container Engine, Compute Engine, Datastore, Cloud SQL, and Spanner for building and deploying applications at scale. It also mentions Machine Learning services for tasks like natural language processing, image analysis, and translation. The presentation then demonstrates a photo sharing application built on these services and discusses ways to enhance it further using App Engine Flex, video processing, document parsing, BigQuery, and analytics. It concludes by inviting Python developers interested in visual analysis to discuss job opportunities.
This document discusses deploying microservices on AWS. It begins by explaining what microservices are and then discusses hosting options on AWS including EC2, ECS, and Lambda. ECS is identified as the preferred option since it allows hosting containers with Docker. The document then covers deployment aspects like using source control with Git for multiple environments, building and testing code, deploying single services or entire clusters, live testing, and monitoring with alerts.
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 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.
This document provides instructions on installing and running Azkaban, a job scheduling system, and configuring Pig jobs to run within Azkaban. It explains how to download and run Azkaban, configure global and job-specific Pig properties, run and schedule Pig jobs through Azkaban, and view job status and logs.
This document discusses serverless computing using AWS Lambda. It provides an overview of Lambda's features like zero administration, auto-scaling, and pay per use model. It also discusses how API Gateway can be used to route requests to Lambda functions. The document compares performance and cost of Lambda to other platforms like Elastic Beanstalk. It provides examples of serverless application design where Lambda functions are triggered by events from databases or APIs. Finally, it briefly describes an open source project to implement Lambda-like functionality on OpenStack.
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.
Building a Modern Microservices Architecture at Gilt: The EssentialsC4Media
Yoni Goldberg presented on Gilt's transition to a microservices architecture. Some key points:
- Gilt started in 2007 using Ruby on Rails but faced scaling issues as traffic grew.
- They transitioned services to the JVM in 2009, starting with 10 initial services, which solved many problems but not developer pain points.
- Gilt fully embraced microservices around 2012, breaking the monolith into hundreds of small, independent services using Scala and Play.
- This empowered teams, enabled simpler deployments, and made the system more robust, but introduced new challenges around service discoverability, dependencies, and monitoring.
- Gilt developed many tools to help manage microservices at scale, such
Kotlin is a language from the tool gurus at JetBrains. In 2016, after about six years of development, Kotlin reached version 1.0. In 2017 it won the hearts of developers and became an officially supported language for Android.
Kotlin, like Java, is for more than creating Android applications. It can replace or enhance Java most places it is used today including on AWS. AWS Lambda functions sometimes called Serverless Computing, is a service which lets us developers build web services without worrying about configuring servers.
In this session, we will create a lambda service on AWS using Kotlin. Along the way, we will learn what a makes Kotlin an excellent replacement for Java and how simple it is to construct an AWS Lambda function.
In the ever fast paced software development, Serverless came in as a boon, enabling developers concentrate primarily on the business logic and nothing more! This only calls for a stringent process flow, making Continuous Development, Countinous Integration and Continuous Delivery highly advisable. This talk will focus on local testing of the serverless functions and their associated services locally.
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.
Akka is a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM based on the actor model. Reactive Streams is a standard for asynchronous stream processing with non-blocking back pressure on the JVM. Akka Streams implements Reactive Streams and provides a way to express and run a chain of asynchronous processing steps acting on a sequence of elements with every step processed by one actor to support parallelism.
In this talk we will cover:
1. Using concurrency to maximize hardware (Elixir, Clojure, Haskell)
2. Serverless technologies for backend architecture (Amazon AWS Lambda, Microsoft Azure Cloud Functions)
3. BaaS – Backend as a Service (Google Firebase, etc)
Surati Tech Talks 2022 / Build reliable Svelte applications using CypressMaurice De Beijer [MVP]
Tired of having users email you that your Svelte application is broken? Turns out that building reliable applications is hard and requires a lot of testing. You can write unit tests but quite often these all pass and the application is still broken. Why? Because they test parts of the application in isolation. But for a reliable application we need more. We need to make sure that all parts, including the backend API’s, work together as intended.
Cypress is a great tool to achieve this. It will test you complete web application in the browser and use it like a real world user would. In this session Maurice will show you how to use Cypress during development and on the CI server with Svelte. He will share tips and tricks to make your tests more resilient and more like how an actual end user would behave.
This document provides instructions for setting up Ruby and Rails on different platforms. It discusses using Rails Installer or Ruby Installer for Windows setup. It recommends Git for Windows, msysGit, or GitHub for Windows. It notes the OS X system versions of Ruby and Rails are often old and recommends using Homebrew. It provides instructions for installing GCC and prerequisites on Linux like Ubuntu before installing Ruby. It also discusses using RVM, rbenv, or pik for managing multiple Ruby versions.
Using AWS Lambda for Infrastructure Automation and BeyondNick Tursky
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 supports Node.js, Java, Python, and other languages. Common uses include log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. AWS Lambda offers an inexpensive serverless computing option with instant availability across regions.
This document discusses implementing real-time web applications using SignalR and Azure Service Bus. It provides an overview of real-time web capabilities, examples using SignalR for forced video switching and real-time deals, and scaling out applications using the publish-subscribe pattern with Azure Service Bus. The document also includes a demonstration of using SignalR with Azure for continuous integration and horizontal scaling.
Akka is a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM based on the actor model. It provides Akka Streams, which allows expressing and running a chain of asynchronous processing steps on a sequence of elements to provide back-pressured asynchronous stream processing according to the Reactive Streams initiative standard. Akka Streams handles concurrency behind the scenes, so the user describes the processing rather than the implementation.
This document provides an overview of serverless computing and introduces serverless frameworks for ClojureScript including CLJS-Lambda and Serverless-Cljs. It defines serverless as exposing single functions that are run on shared servers and paid for only by execution time. Recommended resources on serverless architectures and the AWS serverless page are provided. The document discusses JVM options for ClojureScript lambdas and introduces lein plugins and templates for building, testing, and deploying serverless ClojureScript functions to AWS Lambda including commands for building, deploying, and invoking functions.
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.
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.
This document discusses deploying microservices on AWS. It begins by explaining what microservices are and then discusses hosting options on AWS including EC2, ECS, and Lambda. ECS is identified as the preferred option since it allows hosting containers with Docker. The document then covers deployment aspects like using source control with Git for multiple environments, building and testing code, deploying single services or entire clusters, live testing, and monitoring with alerts.
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 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.
This document provides instructions on installing and running Azkaban, a job scheduling system, and configuring Pig jobs to run within Azkaban. It explains how to download and run Azkaban, configure global and job-specific Pig properties, run and schedule Pig jobs through Azkaban, and view job status and logs.
This document discusses serverless computing using AWS Lambda. It provides an overview of Lambda's features like zero administration, auto-scaling, and pay per use model. It also discusses how API Gateway can be used to route requests to Lambda functions. The document compares performance and cost of Lambda to other platforms like Elastic Beanstalk. It provides examples of serverless application design where Lambda functions are triggered by events from databases or APIs. Finally, it briefly describes an open source project to implement Lambda-like functionality on OpenStack.
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.
Building a Modern Microservices Architecture at Gilt: The EssentialsC4Media
Yoni Goldberg presented on Gilt's transition to a microservices architecture. Some key points:
- Gilt started in 2007 using Ruby on Rails but faced scaling issues as traffic grew.
- They transitioned services to the JVM in 2009, starting with 10 initial services, which solved many problems but not developer pain points.
- Gilt fully embraced microservices around 2012, breaking the monolith into hundreds of small, independent services using Scala and Play.
- This empowered teams, enabled simpler deployments, and made the system more robust, but introduced new challenges around service discoverability, dependencies, and monitoring.
- Gilt developed many tools to help manage microservices at scale, such
Kotlin is a language from the tool gurus at JetBrains. In 2016, after about six years of development, Kotlin reached version 1.0. In 2017 it won the hearts of developers and became an officially supported language for Android.
Kotlin, like Java, is for more than creating Android applications. It can replace or enhance Java most places it is used today including on AWS. AWS Lambda functions sometimes called Serverless Computing, is a service which lets us developers build web services without worrying about configuring servers.
In this session, we will create a lambda service on AWS using Kotlin. Along the way, we will learn what a makes Kotlin an excellent replacement for Java and how simple it is to construct an AWS Lambda function.
In the ever fast paced software development, Serverless came in as a boon, enabling developers concentrate primarily on the business logic and nothing more! This only calls for a stringent process flow, making Continuous Development, Countinous Integration and Continuous Delivery highly advisable. This talk will focus on local testing of the serverless functions and their associated services locally.
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.
Akka is a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM based on the actor model. Reactive Streams is a standard for asynchronous stream processing with non-blocking back pressure on the JVM. Akka Streams implements Reactive Streams and provides a way to express and run a chain of asynchronous processing steps acting on a sequence of elements with every step processed by one actor to support parallelism.
In this talk we will cover:
1. Using concurrency to maximize hardware (Elixir, Clojure, Haskell)
2. Serverless technologies for backend architecture (Amazon AWS Lambda, Microsoft Azure Cloud Functions)
3. BaaS – Backend as a Service (Google Firebase, etc)
Surati Tech Talks 2022 / Build reliable Svelte applications using CypressMaurice De Beijer [MVP]
Tired of having users email you that your Svelte application is broken? Turns out that building reliable applications is hard and requires a lot of testing. You can write unit tests but quite often these all pass and the application is still broken. Why? Because they test parts of the application in isolation. But for a reliable application we need more. We need to make sure that all parts, including the backend API’s, work together as intended.
Cypress is a great tool to achieve this. It will test you complete web application in the browser and use it like a real world user would. In this session Maurice will show you how to use Cypress during development and on the CI server with Svelte. He will share tips and tricks to make your tests more resilient and more like how an actual end user would behave.
This document provides instructions for setting up Ruby and Rails on different platforms. It discusses using Rails Installer or Ruby Installer for Windows setup. It recommends Git for Windows, msysGit, or GitHub for Windows. It notes the OS X system versions of Ruby and Rails are often old and recommends using Homebrew. It provides instructions for installing GCC and prerequisites on Linux like Ubuntu before installing Ruby. It also discusses using RVM, rbenv, or pik for managing multiple Ruby versions.
Using AWS Lambda for Infrastructure Automation and BeyondNick Tursky
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 supports Node.js, Java, Python, and other languages. Common uses include log processing, event stream processing, deployment automation, infrastructure automation, and serverless APIs. AWS Lambda offers an inexpensive serverless computing option with instant availability across regions.
This document discusses implementing real-time web applications using SignalR and Azure Service Bus. It provides an overview of real-time web capabilities, examples using SignalR for forced video switching and real-time deals, and scaling out applications using the publish-subscribe pattern with Azure Service Bus. The document also includes a demonstration of using SignalR with Azure for continuous integration and horizontal scaling.
Akka is a toolkit for building highly concurrent, distributed, and resilient message-driven applications on the JVM based on the actor model. It provides Akka Streams, which allows expressing and running a chain of asynchronous processing steps on a sequence of elements to provide back-pressured asynchronous stream processing according to the Reactive Streams initiative standard. Akka Streams handles concurrency behind the scenes, so the user describes the processing rather than the implementation.
This document provides an overview of serverless computing and introduces serverless frameworks for ClojureScript including CLJS-Lambda and Serverless-Cljs. It defines serverless as exposing single functions that are run on shared servers and paid for only by execution time. Recommended resources on serverless architectures and the AWS serverless page are provided. The document discusses JVM options for ClojureScript lambdas and introduces lein plugins and templates for building, testing, and deploying serverless ClojureScript functions to AWS Lambda including commands for building, deploying, and invoking functions.
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.
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.
What does Serverless mean for DevOps, in practical terms? While Serverless does reduce the need for server-centric DevOps, it poses new challenges in many areas including security, app deployment and cloud resource provisioning, partly due to an explosion of "nanoservices". Based on a current project using AWS, we cover relevant tools, techniques and tips to deliver a smooth serverless experience for development through to production.
Delivered at Bristol DevOps meetup, 27 Jun 2018. To see detailed notes covering extra points not on slides, click the Notes link just below (or download the Powerpoint).
Update: here's the correct link for Gojko Adzic talk on the Backendless slide - https://www.youtube.com/watch?v=w7X4gAQTk2E
Serverless Web Apps using API Gateway, Lambda and DynamoDBAmazon Web Services
This document provides an overview of serverless computing using AWS services like API Gateway, Lambda and DynamoDB. It begins with an introduction to serverless computing and how it differs from traditional VM-based and container-based architectures by focusing on functions as the unit of scale. It then provides overviews of DynamoDB as a fully managed NoSQL database service and Lambda for running code without managing servers. It discusses how API Gateway can be used to create serverless APIs that integrate with Lambda. The document concludes with best practices tips for using Lambda and serverless deployment with AWS SAM.
This document provides an overview of serverless computing without code (Lambda). It introduces CloudHesive as a professional services company and describes their services including assessment, strategy, migration, implementation, support, DevOps, security, and managed services. The agenda outlines topics on serverless, APIs, event buses, data stores, operational considerations, and adoption approaches. References are provided for the AWS Well Architected Framework and serverless application lens as well as examples for API Gateway, AppSync, Lambda, and Step Functions.
Building Serverless Web Applications - May 2017 AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn the basics of AWS Lambda and Amazon API Gateway
- Understand how to build a web application using these services
- Learn to architect a serverless application
- Gain an overview of frameworks for building serverless applications
What if you could build a web application that could support true web-scale traffic without having to ever provision or manage a single server? In this session, you will learn how to build a serverless website that scales automatically using services like AWS Lambda, Amazon API Gateway, and Amazon S3. We will review several frameworks that can help you build serverless applications, such as the AWS Serverless Application Model (AWS SAM), Chalice, and ClaudiaJS.
Building Serverless Web Applications - May 2017 AWS Online Tech TalksAmazon Web Services
This document provides an overview of building serverless web applications using AWS Lambda and Amazon API Gateway. It discusses AWS Lambda concepts like no servers to manage and pay per usage. It also covers API Gateway concepts like unifying microservices under a single API and throttling. The document then discusses design patterns like moving from a monolithic to microservices architecture. It shows how to define and deploy a serverless application using the AWS Serverless Application Model (SAM) with CloudFormation. Finally, it mentions some popular serverless frameworks like ClaudiaJS, Zappa, and Chalice.
(ARC309) Getting to Microservices: Cloud Architecture PatternsAmazon Web Services
Gilt transitioned from a monolithic Ruby on Rails and Java application architecture to a microservices architecture running on AWS. This allowed teams to work independently and deploy changes more quickly. Key aspects of Gilt's microservices architecture included organizing teams around business capabilities, using service discovery with Zookeeper, deploying single services per container with Docker, managing data decentralization, and monitoring services. Common challenges in microservices like service communication and distributed transactions were addressed through patterns like client-side caching and eventual consistency.
This document provides an overview of serverless computing using AWS Lambda. It defines serverless computing and how it differs from virtual machines (VMs) and containers by using functions as the unit of scale rather than machines or applications. AWS Lambda allows running code without provisioning or managing servers and offers benefits like continuous scaling, no servers to manage, and pay-per-request pricing. The document discusses use cases for AWS Lambda like data processing, building scalable backends, and creating serverless app ecosystems. It also covers topics like Lambda's programming model, recent launches from AWS, best practices, and provides examples to illustrate serverless concepts.
Mariusz Richtscheid: Architektura typu serverless wraz z terminem "Function as a Service" zyskują coraz większą popularność. To całkiem odmienne podejście do tworzenia aplikacji oraz ich wdrażania ma wiele zalet, ale musimy być też świadomi problemów, jakie się z nim wiążą. W trakcie prezentacji pokażę, w jaki sposób można zmodyfikować istniejącą aplikację Node.js tak, by wykorzystać zalety tej architektury.
With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we’ll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.
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.
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.
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.
Getting Started with AWS Lambda and Serverless ComputingKristana Kane
This document provides an overview of AWS Lambda and serverless computing. It discusses AWS compute offerings like EC2, ECS, and Lambda. Lambda allows running code in response to events without provisioning or managing servers. Benefits include automatic scaling, pay per use, and built-in availability. Common use cases for Lambda include web applications, backends, data processing, chatbots, and IT automation. Best practices for Lambda include limiting function size, parameterizing code, and using versions and aliases. The document also provides examples of serverless applications and architectures using Lambda along with other AWS services.
Getting Started with AWS Lambda & Serverless CloudIan Massingham
This document provides an overview of serverless computing using AWS Lambda. It defines serverless computing as running code without servers by paying only for the compute time consumed. AWS Lambda allows triggering functions from events or APIs which makes it easy to build scalable back-ends, perform data processing, and integrate systems. Recent updates include support for Python, scheduled functions, VPC access, and versioning. The document demonstrates using Lambda for building serverless web apps and microservices.
How to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we'll show you how to extend both AWS and third party services by triggering Lambda functions.
Raleigh DevDay 2017: Build a serverless web application in one day workshopAmazon Web Services
This document provides a summary of a presentation on building serverless web applications using AWS services like AWS Lambda and Amazon API Gateway. It includes an overview of AWS compute services like EC2, ECS, and Lambda and their differences. The presentation discusses why serverless is useful, common use cases, and design patterns like monolithic and microservices architectures. It also demonstrates how to define and deploy serverless applications using the AWS Serverless Application Model (SAM).
Similar to AWS Serverless solution for developers (20)
This document discusses Angular Universal, which allows Angular applications to render on both the server and client. It provides an overview of web history from static pages to single-page applications (SPAs) and the problem of increased load times and SEO issues with client-side rendering alone. Angular Universal solves this by combining server rendering with client rendering. Key points covered include pre-rendering, routing, syncing state between server and client rendering, and limitations to consider for server-side rendering with Angular.
In the talk we have covered how to manage React application in production, we focused on Webpack, caching, client side logs, error handling, NPM dependencies.
This document discusses building a multiplayer game using Angular and Firebase. It introduces Phaser as a game framework for handling game logic and rendering. Angular is used for the browser UI and pre-game steps, while Firebase provides a real-time database for synchronizing game state across clients. The document explains how to initialize Phaser within Angular, load game assets, add player input handling, and sync the game with Firebase to enable multiplayer functionality.
This document discusses how Node.js can help address challenges with microservices architectures. It outlines common problems like logging, configuration, health checks, and common logic that must be addressed across microservices. Node.js solutions like common logging packages, tracing middleware, and process managers like PM2 are presented as ways to solve these problems by creating reusable components and standardizing infrastructure across services. Examples of implementing common logging and tracing are provided to illustrate how Node.js can help build more maintainable microservices applications.
Javascript issues and tools in production for developersMichael Haberman
1) Front-end code needs to be prepared for the varied environments and browsers that users will consume it in, as users can cause bugs and not follow test scenarios.
2) When issues arise, stories should be collected, reproduced, and fixes understood to prepare for the future. Error tracking and context logging are important.
3) Tools like Gulp and Grunt can be used to minify, concatenate, and version code for deployment to avoid caching issues and enable source maps for debugging minified code.
This document compares Angular and React frameworks for mobile development, discussing hybrid solutions using Ionic and native solutions using React Native. It provides an overview of Angular and React, describing Angular as an MVC framework with two-way binding and React as a component-based library with unidirectional data flow. It then discusses Ionic as an Angular-based hybrid framework that allows access to some native APIs and React Native, which compiles JavaScript to native code for better performance and full native API access. In the comparison section, it summarizes that Ionic shares more code with the web but has limited performance and native capabilities, while React Native requires more platform-specific code but has native performance and full feature support.
My workshop at Software Architect 2015:
A full day about angular js, node, express and mongoDB.
You could find the code: https://github.com/habmic/MeanDemoCode
The document discusses unit testing in Angular. It explains that there are three main parts to unit testing: the process to run tests, a test runner, and an assertion library. Karma is recommended as a test runner that works with Jasmine, a popular assertion library for writing Angular unit tests. The document provides examples of how to set up Karma and write unit tests using Jasmine's matcher methods and expectations. It emphasizes the importance of writing code in a testable way by isolating dependencies and single responsibilities.
Unit testing and end-to-end (E2E) testing are important types of automated testing for JavaScript applications. Unit tests focus on testing individual functions or components in isolation to catch bugs, while E2E tests ensure that user flows work as expected by interacting with the application through a browser. The presentation discussed setting up testing frameworks like Karma and Jasmine for unit testing and Protractor for E2E testing. It also covered writing testable code, handling dependencies through dependency injection, and selecting elements and interacting with them during E2E tests.
This document discusses transitioning from .NET/XAML development to web development using HTML, JavaScript, and TypeScript. It covers choosing TypeScript and a MVVM framework like Knockout to leverage existing skills in data binding, object-oriented programming, and requirements handling. The document demonstrates TypeScript features like classes, inheritance, interfaces and generics. It also shows how to implement the MVVM pattern in Knockout through data binding, commands, and iterating over collections.
This document discusses transitioning from XAML/C# to HTML5/JavaScript using the Knockout library. It explains that while HTML5/JS doesn't natively support features like MVVM, Knockout provides data binding, collections, commands and other features to emulate the MVVM pattern. A comparison is made between XAML and Knockout, and the presenter encourages attendees to experiment with Knockout on their own to become more comfortable with the transition.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
Top 9 Trends in Cybersecurity for 2024.pptxdevvsandy
Security and risk management (SRM) leaders face disruptions on technological, organizational, and human fronts. Preparation and pragmatic execution are key for dealing with these disruptions and providing the right cybersecurity program.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
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.
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.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
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.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
21. AWS API GATEWAY
•Who is responsible?
• API gateway
• API gateway proxy to lambda
22. QUICK REVIEW – THE GOOD
•Scalable API
•Monitoring
•Logs
•No infrastructure at
all
•Any trigger
•Access AWS
resources
•DLQ
•Millisecond measure
•Env variable
23. QUICK REVIEW – THE BAD
•Version control?
•Developing locally?
•Debug?
•File system?