Developing serverless applications with .NET on AWSWoody Pewitt
This document discusses developing serverless applications with .NET on AWS. It introduces several AWS services including Lambda, CloudWatch, API Gateway, DynamoDB, CloudFormation, and S3. Demos are provided for creating Lambda functions, connecting Lambda to API Gateway, writing and reading from DynamoDB, deploying serverless templates with CloudFormation, and rendering static resources to S3. The document aims to demonstrate that .NET can be used with AWS serverless architecture with no issues.
Communication tool & Environment for Remote WorkerShotaro Sakamaki
Shotaro Sakamaki is a front-end engineer at PixelGrid.Inc, a company that develops JavaScript applications. He discusses the communication tools and development environment used by PixelGrid's remote workers. Key tools mentioned include Slack for chat, esa.io for documentation sharing, GitHub for source control, and ZenHub as a GitHub extension. Costs for these paid services range from $3.99 to $6.67 per user per month. While costs may seem high, the speaker argues they replace expenses from maintaining multiple free tools and reduce invisible maintenance costs.
This document discusses serverless computing with AWS Lambda. It begins by explaining that serverless does not mean there are no servers, but rather code is executed when triggered by events. An example is given of a serverless API using API Gateway to trigger a Lambda function. The document outlines some key aspects of how serverless works with Lambda such as supported languages, logging to CloudWatch, and resource limits for Lambda functions. Overall limits are discussed and it is noted autoscaling can provide more resources when needed. The document concludes by mentioning potential use cases for serverless and posing questions.
Amazon API Gateway helps developers create and manage APIs to connect backend systems like EC2 and Lambda to mobile, web, and server applications. An API in API Gateway consists of resources and methods. Resources represent logical entities that can be accessed via HTTP verbs like GET and POST. Methods map API requests to integrations with backend systems. API Gateway handles request/response mapping and provides benefits like monitoring, security controls, and scalability without servers. Pricing is based on monthly API calls and data transfer. Caching can reduce costs for frequently requested data.
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#.
We will do a quick introduction to the Serverless world and AWS Lambda to establish a baseline for everyone. Then we'll jump into a Ruby Framework that makes Serverless easy to work with.
Ruby is the not only one of most beautiful languages in the world but also extremely powerful. The power lies in Ruby's Metaprogramming abilities. This serverless framework leverages these Ruby powers to create a DSL that essentially translates Ruby code to AWS Lambda functions. We'll introduce these Framework concepts:
* Controllers
* Routes
* Jobs
We will create a few demos and deploy it to AWS Lambda live. We will also cover some architecture pattern examples that can be built with the framework.
Ben Kehoe - Serverless Architecture for the Internet of ThingsServerlessConf
Presented at ServerlessConf NYC 2016.
iRobot is transitioning the cloud infrastructure for our IoT system to AWS with the goal of using zero EC2 instances. I'll cover our general architecture (AWS IoT, API Gateway, Lambda, etc.), our CloudFormation+Lambda deployment strategy, and the hardest patterns to make serverless on AWS.
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.
Developing serverless applications with .NET on AWSWoody Pewitt
This document discusses developing serverless applications with .NET on AWS. It introduces several AWS services including Lambda, CloudWatch, API Gateway, DynamoDB, CloudFormation, and S3. Demos are provided for creating Lambda functions, connecting Lambda to API Gateway, writing and reading from DynamoDB, deploying serverless templates with CloudFormation, and rendering static resources to S3. The document aims to demonstrate that .NET can be used with AWS serverless architecture with no issues.
Communication tool & Environment for Remote WorkerShotaro Sakamaki
Shotaro Sakamaki is a front-end engineer at PixelGrid.Inc, a company that develops JavaScript applications. He discusses the communication tools and development environment used by PixelGrid's remote workers. Key tools mentioned include Slack for chat, esa.io for documentation sharing, GitHub for source control, and ZenHub as a GitHub extension. Costs for these paid services range from $3.99 to $6.67 per user per month. While costs may seem high, the speaker argues they replace expenses from maintaining multiple free tools and reduce invisible maintenance costs.
This document discusses serverless computing with AWS Lambda. It begins by explaining that serverless does not mean there are no servers, but rather code is executed when triggered by events. An example is given of a serverless API using API Gateway to trigger a Lambda function. The document outlines some key aspects of how serverless works with Lambda such as supported languages, logging to CloudWatch, and resource limits for Lambda functions. Overall limits are discussed and it is noted autoscaling can provide more resources when needed. The document concludes by mentioning potential use cases for serverless and posing questions.
Amazon API Gateway helps developers create and manage APIs to connect backend systems like EC2 and Lambda to mobile, web, and server applications. An API in API Gateway consists of resources and methods. Resources represent logical entities that can be accessed via HTTP verbs like GET and POST. Methods map API requests to integrations with backend systems. API Gateway handles request/response mapping and provides benefits like monitoring, security controls, and scalability without servers. Pricing is based on monthly API calls and data transfer. Caching can reduce costs for frequently requested data.
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#.
We will do a quick introduction to the Serverless world and AWS Lambda to establish a baseline for everyone. Then we'll jump into a Ruby Framework that makes Serverless easy to work with.
Ruby is the not only one of most beautiful languages in the world but also extremely powerful. The power lies in Ruby's Metaprogramming abilities. This serverless framework leverages these Ruby powers to create a DSL that essentially translates Ruby code to AWS Lambda functions. We'll introduce these Framework concepts:
* Controllers
* Routes
* Jobs
We will create a few demos and deploy it to AWS Lambda live. We will also cover some architecture pattern examples that can be built with the framework.
Ben Kehoe - Serverless Architecture for the Internet of ThingsServerlessConf
Presented at ServerlessConf NYC 2016.
iRobot is transitioning the cloud infrastructure for our IoT system to AWS with the goal of using zero EC2 instances. I'll cover our general architecture (AWS IoT, API Gateway, Lambda, etc.), our CloudFormation+Lambda deployment strategy, and the hardest patterns to make serverless on AWS.
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.
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.
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.
It's not what you code, it's how you code it. In this talk, I'll take you through real world examples of code drawn from the 40+ production Rails applications we have developed and maintained during the last 12 months and highlight anti patterns and examples of technical code debt in them. You do what you can do to avoid these, making your future lives simpler. Your future you will thank you...
From monolithic to serverless with Amazon Step FunctionsScott Triglia
Sometimes it seems like you can hardly go a day without hearing about how “serverless” is going to change the world of backend architecture. But aside from toy proofs of concept, how are you realistically supposed to put it into practice? Most of us work with years-old codebases that are resistant to decoupling, much less easy to transition to serverless.
Come hear how Yelp has been moving a 10 year old codebase from tangled spaghetti toward a serverless future using AWS Step Functions (SFN). You’ll gain familiarity with SFN as infrastructure, learn how it can be used to effectively disentangle complicated systems, and understand how to incrementally introduce serverless components into your monolithic application.
Serverless architecture is a hot topic nowadays. The traditional architecture needs to have one or many servers to let the app run on, make the app come out the market. Many steps have been done from managing servers, monitoring servers to optimizing servers and it needs server administration knowledge. With Serverless, it doesn't mean you don't need the server at all, it means the server will be hosted by another party and away from you. You only focus on your code and give your product out to the market as fast as possible.
The document discusses some challenges, or "gaps", in the serverless development lifecycle including access and permission management, collaboration mechanisms, testing, and monitoring/instrumentation. It presents these gaps as problems that serverless applications currently face and offers some solutions. For access and permission management, it suggests using a framework that automatically generates necessary permissions at deployment time. For collaboration, it proposes automatically namespacing resource names. For testing, it advises implementing integration tests locally using service fakes when possible. And for monitoring, it recommends letting frameworks automatically instrument functions according to defined rules. The overall message is that while serverless applications present new challenges, frameworks can help address these gaps to streamline the development process.
This document discusses various approaches to building an application using functional programming principles and libraries like Eff monad and Free monads. It covers topics like dependency injection, error handling, asynchronous programming, and applicative design patterns.
Rob Gruhl and Erik Erikson - What We Learned in 18 Serverless Months at Nords...ServerlessConf
This document summarizes Nordstrom's experience with serverless technologies over the past 18 months. Some key lessons learned include that serverless architectures can reduce the amount of code needed for features, require work to ensure high availability, and make tweaking performance easy and cost-effective. Challenges include shared computing limits, API Gateway restrictions, and difficulty debugging distributed applications. Nordstrom hopes to see improvements in transparency, deployment tools, security guidance, and documentation from serverless platform providers.
Capistrano @antistatque - deploy to the moonKevin Wenger
Capistrano is a Ruby-based tool for automating common tasks like deploying code to multiple servers simultaneously or sequentially. The document discusses how Capistrano is used alongside gems to deploy projects. It also describes a simplified workflow involving git cloning code, uploading styleguide builds, putting sites into maintenance mode, running framework commands, and releasing code. The author notes their company uses Capistrano gems for tasks like deploying Symfony and Drupal projects, but that maintenance mode is currently lacking support across different frameworks. They invite feedback and contributions to help build out framework-agnostic maintenance mode functionality.
This document discusses various approaches to building an application using functional programming principles and libraries like Eff monad and Free monads. It covers topics like dependency injection, error handling, asynchronous programming, and applicative functors. The overall application appears to be building a pricing service that integrates with other services.
[DevDay 2017] ReactJS Hands on - Speaker: Binh Phan - Developer at mgm techno...DevDay.org
A short description on ReactJS for absolute beginners. The presentation will walk you through why we should use React to develop web applications, as well as a live coding session where you can see it in action.
Ruby on Rails is a very powerful framework to build web apps. It is easy to install and there is plenty of good documentation around. In this presentation we look at the basic steps the server undergoes to render the html
2017 September Golang Sydney meetup https://www.meetup.com/golang-syd/events/243263974/
Yun Zhi Lin wrote serverless-golang to bring about the perfect combination of strongly typed idiomatic Golang with the simplicity of Serverless Framework.
Serverless Golang currently forms the backbone of amaysim’s Serverless Realtime Event Driven Architecture, Anti-Corruption Layer and Single Customer View across 4 business verticals.
The library comes with easy to follow real world examples, and is entirely built and deployed immutably via Docker.
Vorathep introduces himself as a remote software engineer and shares some personal details. He then provides an overview of serverless computing on AWS Lambda, describing how lambda functions are triggered by events and execute code without needing to manage servers. Vorathep explains that ClaudiaJS is a NodeJS tool that helps deploy lambda functions through the CLI and manage versions and permissions through code. Finally, he offers to connect further and shares his contact information.
AWS Community Day Bangkok 2019 - Build a Serverless Web Application in 30 minsAWS User Group - Thailand
This document provides instructions for building a serverless web application on AWS in 30 minutes. It includes an overview of the AWS services that will be used - S3 for static hosting, API Gateway, Lambda, DynamoDB, and CloudFront. The agenda outlines setting up S3, CloudFront, DynamoDB, Lambda, and API Gateway. Code samples and screenshots are provided to demonstrate configuring the services and integrating them to build a serverless web app that retrieves and displays data from DynamoDB through API Gateway and Lambda.
Building Composable Serverless Apps with IOpipe Erica Windisch
This document discusses building composable serverless applications using the iopipe module.
The iopipe module allows chaining together serverless functions, code sharing, and running functions anywhere including AWS Lambda, Docker, and local CPUs. It provides tools for function composition, monitoring performance metrics, and deploying functions. Composable serverless applications can be built by connecting together inline functions, stored functions, and deployed HTTP endpoints using iopipe.
This document discusses the DevOps philosophy and how it can increase producibility. It defines DevOps as combining cultural philosophies, practices, and tools to increase an organization's ability to deliver applications and services at high velocity. Key aspects of DevOps include breaking down silos between development, QA, security and operations teams; continuous integration and delivery pipelines; automation; and real-time feedback to enable rapid, reliable, and secure delivery of updates. Many DevOps tools are available as managed services on AWS, including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, and CodeStar, which can help implement DevOps practices.
This document discusses AWS Lambda and serverless computing. It provides an introduction to AWS Lambda, the benefits of using serverless computing by running code without managing servers, and getting started using Lambda. Example use cases for Lambda include API backends, image compression workflows triggered by S3 uploads, cron jobs managed by CloudWatch events, and data pipelines. The document also covers alternatives to AWS Lambda and provides references for further information.
Synchronous Reads, Asynchronous Writes refers to an architectural approach where data reads are performed synchronously through services, while data writes are performed asynchronously through a messaging system. This allows for decoupling of services, horizontal scaling of reads and writes, and loose coupling between systems. The key aspects are performing JSON RESTful reads through services like Sinatra, and pushing writes to a messaging system like RabbitMQ with routing keys to trigger downstream processing. This approach can help solve issues with monolithic Rails applications that do not scale effectively.
Ransack, an Application Built on Ansible's API for Rackspace -- AnsibleFest N...Paul Durivage
Ransack is an application built on Ansible's API that was created by Rackspace to automate repetitive tasks on customer servers. It uses Ansible's inventory and dynamic inventory features to access servers via Rackspace's APIs. The Ransack CLI was developed to provide a custom interface for Rackspace users, with sane defaults and self-documenting arguments. Initial launch problems stemmed from complex installation processes, but images and Docker helped address this. Future plans include offering Ransack as a service and improving deployment frequency.
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.
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.
It's not what you code, it's how you code it. In this talk, I'll take you through real world examples of code drawn from the 40+ production Rails applications we have developed and maintained during the last 12 months and highlight anti patterns and examples of technical code debt in them. You do what you can do to avoid these, making your future lives simpler. Your future you will thank you...
From monolithic to serverless with Amazon Step FunctionsScott Triglia
Sometimes it seems like you can hardly go a day without hearing about how “serverless” is going to change the world of backend architecture. But aside from toy proofs of concept, how are you realistically supposed to put it into practice? Most of us work with years-old codebases that are resistant to decoupling, much less easy to transition to serverless.
Come hear how Yelp has been moving a 10 year old codebase from tangled spaghetti toward a serverless future using AWS Step Functions (SFN). You’ll gain familiarity with SFN as infrastructure, learn how it can be used to effectively disentangle complicated systems, and understand how to incrementally introduce serverless components into your monolithic application.
Serverless architecture is a hot topic nowadays. The traditional architecture needs to have one or many servers to let the app run on, make the app come out the market. Many steps have been done from managing servers, monitoring servers to optimizing servers and it needs server administration knowledge. With Serverless, it doesn't mean you don't need the server at all, it means the server will be hosted by another party and away from you. You only focus on your code and give your product out to the market as fast as possible.
The document discusses some challenges, or "gaps", in the serverless development lifecycle including access and permission management, collaboration mechanisms, testing, and monitoring/instrumentation. It presents these gaps as problems that serverless applications currently face and offers some solutions. For access and permission management, it suggests using a framework that automatically generates necessary permissions at deployment time. For collaboration, it proposes automatically namespacing resource names. For testing, it advises implementing integration tests locally using service fakes when possible. And for monitoring, it recommends letting frameworks automatically instrument functions according to defined rules. The overall message is that while serverless applications present new challenges, frameworks can help address these gaps to streamline the development process.
This document discusses various approaches to building an application using functional programming principles and libraries like Eff monad and Free monads. It covers topics like dependency injection, error handling, asynchronous programming, and applicative design patterns.
Rob Gruhl and Erik Erikson - What We Learned in 18 Serverless Months at Nords...ServerlessConf
This document summarizes Nordstrom's experience with serverless technologies over the past 18 months. Some key lessons learned include that serverless architectures can reduce the amount of code needed for features, require work to ensure high availability, and make tweaking performance easy and cost-effective. Challenges include shared computing limits, API Gateway restrictions, and difficulty debugging distributed applications. Nordstrom hopes to see improvements in transparency, deployment tools, security guidance, and documentation from serverless platform providers.
Capistrano @antistatque - deploy to the moonKevin Wenger
Capistrano is a Ruby-based tool for automating common tasks like deploying code to multiple servers simultaneously or sequentially. The document discusses how Capistrano is used alongside gems to deploy projects. It also describes a simplified workflow involving git cloning code, uploading styleguide builds, putting sites into maintenance mode, running framework commands, and releasing code. The author notes their company uses Capistrano gems for tasks like deploying Symfony and Drupal projects, but that maintenance mode is currently lacking support across different frameworks. They invite feedback and contributions to help build out framework-agnostic maintenance mode functionality.
This document discusses various approaches to building an application using functional programming principles and libraries like Eff monad and Free monads. It covers topics like dependency injection, error handling, asynchronous programming, and applicative functors. The overall application appears to be building a pricing service that integrates with other services.
[DevDay 2017] ReactJS Hands on - Speaker: Binh Phan - Developer at mgm techno...DevDay.org
A short description on ReactJS for absolute beginners. The presentation will walk you through why we should use React to develop web applications, as well as a live coding session where you can see it in action.
Ruby on Rails is a very powerful framework to build web apps. It is easy to install and there is plenty of good documentation around. In this presentation we look at the basic steps the server undergoes to render the html
2017 September Golang Sydney meetup https://www.meetup.com/golang-syd/events/243263974/
Yun Zhi Lin wrote serverless-golang to bring about the perfect combination of strongly typed idiomatic Golang with the simplicity of Serverless Framework.
Serverless Golang currently forms the backbone of amaysim’s Serverless Realtime Event Driven Architecture, Anti-Corruption Layer and Single Customer View across 4 business verticals.
The library comes with easy to follow real world examples, and is entirely built and deployed immutably via Docker.
Vorathep introduces himself as a remote software engineer and shares some personal details. He then provides an overview of serverless computing on AWS Lambda, describing how lambda functions are triggered by events and execute code without needing to manage servers. Vorathep explains that ClaudiaJS is a NodeJS tool that helps deploy lambda functions through the CLI and manage versions and permissions through code. Finally, he offers to connect further and shares his contact information.
AWS Community Day Bangkok 2019 - Build a Serverless Web Application in 30 minsAWS User Group - Thailand
This document provides instructions for building a serverless web application on AWS in 30 minutes. It includes an overview of the AWS services that will be used - S3 for static hosting, API Gateway, Lambda, DynamoDB, and CloudFront. The agenda outlines setting up S3, CloudFront, DynamoDB, Lambda, and API Gateway. Code samples and screenshots are provided to demonstrate configuring the services and integrating them to build a serverless web app that retrieves and displays data from DynamoDB through API Gateway and Lambda.
Building Composable Serverless Apps with IOpipe Erica Windisch
This document discusses building composable serverless applications using the iopipe module.
The iopipe module allows chaining together serverless functions, code sharing, and running functions anywhere including AWS Lambda, Docker, and local CPUs. It provides tools for function composition, monitoring performance metrics, and deploying functions. Composable serverless applications can be built by connecting together inline functions, stored functions, and deployed HTTP endpoints using iopipe.
This document discusses the DevOps philosophy and how it can increase producibility. It defines DevOps as combining cultural philosophies, practices, and tools to increase an organization's ability to deliver applications and services at high velocity. Key aspects of DevOps include breaking down silos between development, QA, security and operations teams; continuous integration and delivery pipelines; automation; and real-time feedback to enable rapid, reliable, and secure delivery of updates. Many DevOps tools are available as managed services on AWS, including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, and CodeStar, which can help implement DevOps practices.
This document discusses AWS Lambda and serverless computing. It provides an introduction to AWS Lambda, the benefits of using serverless computing by running code without managing servers, and getting started using Lambda. Example use cases for Lambda include API backends, image compression workflows triggered by S3 uploads, cron jobs managed by CloudWatch events, and data pipelines. The document also covers alternatives to AWS Lambda and provides references for further information.
Synchronous Reads, Asynchronous Writes refers to an architectural approach where data reads are performed synchronously through services, while data writes are performed asynchronously through a messaging system. This allows for decoupling of services, horizontal scaling of reads and writes, and loose coupling between systems. The key aspects are performing JSON RESTful reads through services like Sinatra, and pushing writes to a messaging system like RabbitMQ with routing keys to trigger downstream processing. This approach can help solve issues with monolithic Rails applications that do not scale effectively.
Ransack, an Application Built on Ansible's API for Rackspace -- AnsibleFest N...Paul Durivage
Ransack is an application built on Ansible's API that was created by Rackspace to automate repetitive tasks on customer servers. It uses Ansible's inventory and dynamic inventory features to access servers via Rackspace's APIs. The Ransack CLI was developed to provide a custom interface for Rackspace users, with sane defaults and self-documenting arguments. Initial launch problems stemmed from complex installation processes, but images and Docker helped address this. Future plans include offering Ransack as a service and improving deployment frequency.
Serverless in production (O'Reilly Software Architecture)Yan Cui
AWS Lambda has changed the way we deploy and run software, but the serverless paradigm has created new challenges to old problems: How do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
Yan Cui shares solutions to these challenges, drawing on his experience running Lambda in production and migrating from an existing monolithic architecture.
This document discusses building a Slack bot using AWS Lambda and the Chalice framework. It describes how FaaS works, options for running functions through AWS Lambda including Python support. It then outlines how to build a Slack bot with Chalice that allows users to query Stack Overflow through natural language requests in Slack. Key steps include setting up the bot to handle requests, retrieving secrets securely, formatting responses, and deploying the code to AWS Lambda to be accessible through Slack. It also briefly discusses additional uses of FaaS beyond a basic bot including cron jobs and handling external events.
Serverless in production, an experience report (Going Serverless)Yan Cui
1. The document discusses best practices for making serverless applications production ready, including practices around testing, monitoring, logging, configuration management, and continuous integration/deployment.
2. It recommends integrating serverless applications with services like API Gateway, Kinesis, DynamoDB, and SSM Parameter Store and considering practices like centralized logging, distributed tracing, role-based access controls, and parameterizing configurations.
3. The document emphasizes the importance of testing at the unit, integration, and end-to-end/acceptance levels and having automated testing and deployment pipelines to catch errors and deploy changes quickly and reliably.
Slides from the London Technical Evangelism meet up, where we were discussing different approaches to documenting API's to keep it simple for developers
Deferred Processing in Ruby - Philly rb - August 2011rob_dimarco
The document discusses various options for deferred processing and queuing in Ruby, including Delayed::Job, Resque, Amazon SQS, and AMQP. It provides an overview of how each works, how to install and use them, their advantages and disadvantages, and when each may or may not be a good fit for different needs.
1) The document discusses AWS Step Functions and how it can be used to coordinate serverless applications and functions. It provides examples of how Step Functions allows for sequencing, branching, parallelism and error handling of functions.
2) The document demonstrates how to define state machines in JSON and visualize them in the AWS Step Functions console. It also shows how to execute state machines reliably over long periods of time compared to Lambda functions.
3) Use cases like image processing, approval workflows and EBS snapshot management are demonstrated as examples of problems that can be solved with Step Functions state machines to coordinate multiple serverless functions and services.
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this session, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline, a continuous delivery service based on Amazon’s internal release automation tooling. We will discuss how to use versioning, which enables you to better manage the different variations of your Lambda functions and API Gateway methods in your development workflow (e.g., development, staging, and production). We will walk through how to automate the entire release process of your application from development, to staging, and finally to production; performing automated integration tests at each stage.
The 90-Day Startup with Google AppEngine for JavaDavid Chandler
The document discusses Google App Engine, a platform for developing and hosting web applications on Google's infrastructure. It provides an overview of App Engine and how to get started, discusses some limitations and tradeoffs compared to traditional web hosting, and recommends frameworks and techniques for building scalable applications on App Engine, including Objectify, Guice, and gwt-dispatch. It also notes that while App Engine is still relatively new, it has significant potential for developing scalable applications with minimal upfront costs.
Do you need Ops in your new startup? If not now, then when? And...what is Ops?
Learn how to scale ruby-based distributed software infrastructure in the cloud to serve 4,000 requests per second, handle 400 updates per second, and achieve 99.97% uptime – all while building the product at the speed of light.
Unimpressed? Now try doing the above altogether without the Ops team, while growing your traffic 100x in 6 months and deploying 5-6 times a day!
It could be a dream, but luckily it's a reality that could be yours.
How and why we evolved a legacy Java web application to Scala... and we are s...Katia Aresti
Applications get old, and technology moves fast. Overtime, adding or modifying functionalities might become as expensive as re-coding everything all from scratch. But rewriting a complete website and its functionalities it’s hard if we want to minimize the risks of breaking existing functionalities and specially when this application fits in a ecosystem and interacts with other pieces of software and teams.
In this session, you will learn how we moved from a legacy java monolithic website using scala PlayFramework, AngularJS, Elasticsearch and MongoDB, how we built a multi service and REST oriented architecture, which were the technical and human problems we encountered and how we managed to solved them.
This document discusses building advanced serverless applications with AWS Step Functions. It introduces AWS Step Functions as a service that allows coordinating multiple AWS services and serverless functions into state machines. It describes the different state types available in Step Functions like tasks, choices, and parallel processing. Examples are provided of using Step Functions for image processing workflows, serverless human approval tasks, and EBS snapshot management. The document concludes with encouraging the reader to build their own workflows with Step Functions.
Serverless in production, an experience report (JeffConf)Yan Cui
This document provides an experience report on getting serverless applications ready for production. It discusses several important considerations for production readiness including testing, monitoring and alerting, configuration management, security, and continuous integration/delivery pipelines. The document also shares lessons learned from rebuilding several services using a serverless approach at Skype and the cost savings and velocity gains achieved.
The document discusses scaling a web application called Wanelo that is built on PostgreSQL. It describes 12 steps for incrementally scaling the application as traffic increases. The first steps involve adding more caching, optimizing SQL queries, and upgrading hardware. Further steps include replicating reads to additional PostgreSQL servers, using alternative data stores like Redis where appropriate, moving write-heavy tables out of PostgreSQL, and tuning PostgreSQL and the underlying filesystem. The goal is to scale the application while maintaining PostgreSQL as the primary database.
Pycon Colombia 2018
One year ago I joined a team that favours Serverless, since then I’ve been building and maintaining lots of services using Serverless. With a pinch of Skepticism, I sailed through some of the challenges and tooling, I want to share with the community the pains and glory of it.
AWS Lambda from the trenches (Serverless London)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
Similar to Hacking Real time Messaging with Firebase (20)
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
41. Create an auth object
And use it to sign in generating a token
42. Get a reference to the db
Give it some
data
Insert it into the firebase store
43.
44.
45. Actions for triggering store changes
Static assets like images
Components for rendering the UI
Main entry point of the front end
Folder for the reducers
Routes folder for better modularization
Saga folder containing sagas for side effects
Folder where you have your store config
54. redux-saga
redux-saga is a redux middleware for handling
side-effects
redux-saga is implemented using generator funcs.
generator functions can be paused and resumed.