This document provides an overview of Node.js including its key features like being built on Chrome's V8 JavaScript engine and using an event-driven and non-blocking I/O model. It discusses Node.js modules which use the CommonJS module system and how modules are required based on location. The document also briefly explains clustering in Node.js to optimize performance across CPUs, the event loop concept, and the Express.js framework for building web applications.
This document discusses multithreading and concurrency in Java. It covers process-based and thread-based multitasking, implementing the Runnable interface and extending the Thread class, thread execution and blocking, thread lifetime and termination, thread communication, concurrency issues like deadlock and starvation, and the java.util.concurrent package for concurrency utilities.
Lecture on Java Concurrency Day 3 on Feb 11, 2009.Kyung Koo Yoon
The document discusses various worker thread models and provides examples of using concurrency in Java. It also summarizes the java.util.concurrent package, which provides common high-level concurrency classes like ConcurrentHashMap, CopyOnWriteArrayList, BlockingQueue, CountDownLatch and Executor. The package was introduced in Java 5 to make concurrent programming easier and more robust.
An introduction to IronRuby, a ruby implementation built on the .Net framework and the Dynamic Language Runtime. This presentation was originally given at a Columbus Ruby Brigade meeting.
This document discusses using Jenkins to run continuous integration jobs on Amazon EC2 instances. It describes how to launch a Jenkins slave node on an EC2 instance using the EC2 API tools and SSH. The Jenkins slave node runs jobs and reports back to the Jenkins master, and the EC2 instance can be automatically started before jobs and stopped afterwards to avoid costs when not in use.
The document describes the lifecycle of a servlet, which includes 5 phases: 1) the servlet class is loaded by the classloader, 2) an instance of the servlet is created, 3) the init method is invoked to initialize the servlet, 4) the service method is invoked each time a request is received, and 5) the destroy method is invoked before the servlet is removed to allow for cleanup.
Супер быстрая автоматизация тестирования на iOSSQALab
This document discusses the history and current approach to parallel iOS automation testing at Badoo. It describes moving from a single simulator approach that took 15 hours to run 500 tests to using multiple desktops in parallel, reducing the runtime to 2 hours with 10 simulators. It then discusses further optimizing to run multiple simulators on one desktop using Facebook's WebDriverAgent, reducing runtime to 90 minutes with 16 simulators. The approach combines Calabash and WebDriverAgent, termed "Facebash", allowing parallel testing while retaining Calabash features.
This document discusses the differences in development environments across operating systems and how Vagrant addresses these issues. It outlines package managers, file paths, permissions, and common developer quotes for Linux, Mac, and Windows. The document recommends downloading and installing Vagrant and VirtualBox to create identical virtual development environments across teams. Key benefits of Vagrant include reproducible and shareable environments.
This document provides an overview of Node.js including its key features like being built on Chrome's V8 JavaScript engine and using an event-driven and non-blocking I/O model. It discusses Node.js modules which use the CommonJS module system and how modules are required based on location. The document also briefly explains clustering in Node.js to optimize performance across CPUs, the event loop concept, and the Express.js framework for building web applications.
This document discusses multithreading and concurrency in Java. It covers process-based and thread-based multitasking, implementing the Runnable interface and extending the Thread class, thread execution and blocking, thread lifetime and termination, thread communication, concurrency issues like deadlock and starvation, and the java.util.concurrent package for concurrency utilities.
Lecture on Java Concurrency Day 3 on Feb 11, 2009.Kyung Koo Yoon
The document discusses various worker thread models and provides examples of using concurrency in Java. It also summarizes the java.util.concurrent package, which provides common high-level concurrency classes like ConcurrentHashMap, CopyOnWriteArrayList, BlockingQueue, CountDownLatch and Executor. The package was introduced in Java 5 to make concurrent programming easier and more robust.
An introduction to IronRuby, a ruby implementation built on the .Net framework and the Dynamic Language Runtime. This presentation was originally given at a Columbus Ruby Brigade meeting.
This document discusses using Jenkins to run continuous integration jobs on Amazon EC2 instances. It describes how to launch a Jenkins slave node on an EC2 instance using the EC2 API tools and SSH. The Jenkins slave node runs jobs and reports back to the Jenkins master, and the EC2 instance can be automatically started before jobs and stopped afterwards to avoid costs when not in use.
The document describes the lifecycle of a servlet, which includes 5 phases: 1) the servlet class is loaded by the classloader, 2) an instance of the servlet is created, 3) the init method is invoked to initialize the servlet, 4) the service method is invoked each time a request is received, and 5) the destroy method is invoked before the servlet is removed to allow for cleanup.
Супер быстрая автоматизация тестирования на iOSSQALab
This document discusses the history and current approach to parallel iOS automation testing at Badoo. It describes moving from a single simulator approach that took 15 hours to run 500 tests to using multiple desktops in parallel, reducing the runtime to 2 hours with 10 simulators. It then discusses further optimizing to run multiple simulators on one desktop using Facebook's WebDriverAgent, reducing runtime to 90 minutes with 16 simulators. The approach combines Calabash and WebDriverAgent, termed "Facebash", allowing parallel testing while retaining Calabash features.
This document discusses the differences in development environments across operating systems and how Vagrant addresses these issues. It outlines package managers, file paths, permissions, and common developer quotes for Linux, Mac, and Windows. The document recommends downloading and installing Vagrant and VirtualBox to create identical virtual development environments across teams. Key benefits of Vagrant include reproducible and shareable environments.
Node.js is a JavaScript runtime built on Chrome's V8 engine that is used to develop fast and scalable network applications. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, especially for data-intensive real-time applications that run across distributed devices. Node.js relies heavily on asynchronous event handling, callbacks, and data streams.
The document discusses Express.js, a web framework for Node.js. It provides an overview of Express.js and how it can be used to start an application server listening on a port, handle HTTP requests asynchronously with methods like GET and POST. It also includes code samples of setting up a basic Express server with a "Hello World" route, installing Express, and using routes to define how the app responds to different URIs and HTTP methods.
This document demonstrates how to use a Groovy scripting component to pause a Mule flow for a period of time before processing the payload. The flow uses a file inbound endpoint to pick up a file, passes it to a Groovy script that sleeps for 3000ms, and then sends the file to a file outbound endpoint. The Groovy script allows pausing the flow by calling the sleep method, holding the payload for a specified interval before continuing processing.
RingoJS is a JavaScript platform that runs on the JVM. It was started by Hannes Wallnöfer and is the successor to Helma and HelmaNG. RingoJS conforms to CommonJS standards and supports features like hot reloading, profiling, debugging, and sandboxing. It can run as a standalone process or within a web application container since it runs on the JVM. Examples are provided of using RingoJS for multithreaded JavaScript and web applications using libraries like Stick. Community support is available on IRC and Twitter. RingoJS can be used for standalone applications, extending existing Java web apps, and code reuse between server and client-side JavaScript.
This document discusses using a Groovy scripting component in Mule to add a delay to a flow. The Groovy component uses the sleep method to pause message processing for a specified time period. This allows holding the payload for a set interval before writing the file to the outbound location. The example flow reads a file from one directory, uses a Groovy script to sleep for 3000ms, then writes the file to another directory.
This document provides an overview of Mono, an open source implementation of Microsoft's .NET Framework that allows developers to build and run .NET applications on non-Windows platforms. It discusses what Mono is, the languages and platforms it supports, its class libraries and components, debugging tools, and GUI frameworks. It also covers Mono's support for databases, mobile development using Xamarin, and the project's goals for full .NET Framework compatibility going forward.
Performance Comparison of Mutex, RWLock and Atomic types in RustMitsunori Komatsu
This document compares the performance of Mutex, RWLock, and atomic types for concurrent access in Rust. It presents benchmark results from a Rust program that tests updating a shared variable with these different synchronization methods under varying read/write loads on Linux and macOS. The results show that RWLock performance degrades significantly with more writes, Mutex performance is consistent even with writes, and atomic types are always the fastest for a counter.
More infos on http://www.mathieu-elie.net/eventmachine-introduction-pres-rubybdx-screencast-fr
Ruby Eventmachine is a really goop option to build scalable real time servers and more...
This document summarizes the technology stack and use of websockets at oneplaylist.fm. The key aspects are:
- The stack includes Ruby on Rails, Redis, EventMachine, HAProxy, Resque, MongoDB, CoffeeScript, and Elasticsearch.
- HAProxy is used for TCP load balancing and handles HTTP as well, distributing traffic across multiple Rails app servers, Elasticsearch instances, and the EventMachine websocket server.
- Websockets are handled via a TCP connection to the EventMachine server through a separate subdomain, keeping HTTP requests on the main app domain.
- Redis is used for centralized communication and state management via Pub/Sub, with tokens mapping users to channels and event data pushed
The document provides an overview of Node.js including that it is a cross-platform runtime environment for JavaScript outside the browser, uses an event-driven and non-blocking I/O model, and is perfect for data-intensive real-time applications. It discusses Node.js features like being extremely fast, asynchronous and event-driven, single-threaded, and highly scalable. The document also covers installing Node.js, using the command line interface and REPL, basic commands, data types, functions, buffers, the process object, global scope, and exporting modules.
This document outlines a plan to build a customized Linux distribution based on Ubuntu from scratch. It discusses using Ubuntu 8.10 to build the distribution, tools needed like debootstrap and binutils, including a lightweight desktop environment and LAMPP server, creating a local software repository, modifying artwork, and ultimately producing a bootable live CD with the customized Linux distro. The goal is to get experience building a own Linux distribution and live system.
Server::Starter is a daemon that allows hot-deployment of server programs. It was originally designed for Perl web applications but can now also be used to run Java web apps by having the Java Virtual Machine inherit the listening socket from the parent Server::Starter process. This new capability allows easy upgrading of the JVM version and shutdown of old processes when new ones are launched, though it does not currently work on Mac OS X.
Vagrant are you still develop in a non-virtual environment-Anatoly Bubenkov
This document introduces Vagrant, an open source tool that allows users to create and manage virtual development environments. It discusses how Vagrant works with virtualization providers like VirtualBox to provide reproducible environments that match production. The document provides step-by-step instructions for installing Vagrant, configuring virtual machines using Vagrantfiles, provisioning machines, and networking. It highlights benefits like versioning environments and sharing code between hosts and guests.
The document summarizes eZ Content Staging, a tool that allows content editors to stage content changes on a separate server before pushing them live. It works by registering all content changes on the source server and using the RESTful ggwebservices extension to sync changes between servers. While functional, it is still a beta implementation with some limitations like requiring identical content definitions and sections on both servers.
The course syllabus of our course in metasploit from novice to Ninja advanced skills.
If you are a penetration tester, network/system administrator or even novice finding your way into ethical hacking >> this course is for you.
OpenNebulaconf2017US: Rapid scaling of research computing to over 70,000 cor...OpenNebula Project
Since 2008, Harvard Research Computing has undertaken a significant scaling challenge increasing their available HPC and storage from 200 cores and 20TB to over 70,000 cores and 35PB of storage. James will discuss the journey and the highlights of extending the computing to support world class research and education. During the evolution of the computing platforms at Harvard they also helped to support and build the Massachusetts Green High Performance Computing Center which is a dedicated high performance research computing facility in Holyoke, MA. This facility continues to support large scale research computing with sustainable energy and advanced networking. Recently the NESE project (New England Storage Exchange) was funded by the National Science Foundation. This is a multi-petabyte object store that is supported by the existing MGHPCC facility supporting the region. The Data Science Initiative at Harvard has also been recently announced and will require even further advanced computation to support their research faculty. Now as the world takes a grip on "cloud" but more importantly remotely provisioned infrastructure, hybrid models for compute and storage are required along with flexibility to be able to further accelerate science. James will discuss their strategy moving forwards and the current and existing infrastructures in place to allow for seamless provisioning of research computing. Justin Riley Team Lead at Harvard, will follow this talk with a deep technical discussion of the specific implementation of the systems that Harvard are designing in concert with the development teams and leadership at OpenNebula to support research computing to make their platforms more resilient and able to continue to scale.
This document describes the challenges of manually configuring and deploying infrastructure for Ruby on Rails and Sinatra applications. It introduces infrastructure as code using Docker and Terraform to define and deploy two microservices—a Sinatra backend and Rails frontend—to Amazon ECS. Docker is used to package each application into images to ensure consistency across environments. Terraform will configure and deploy the necessary AWS resources. Using these tools reduces manual effort and errors compared to traditional deployment methods.
This document describes the challenges of manually configuring and deploying infrastructure for Ruby on Rails and Sinatra applications. It introduces infrastructure as code using Docker and Terraform to define and deploy two microservices—a Sinatra backend and Rails frontend—to Amazon ECS. Docker is used to package each application into images to ensure consistency across environments. Terraform will configure and deploy the necessary AWS resources. Using these tools reduces manual effort and errors compared to traditional deployment methods.
Infrastructure as code: running microservices on AWS using Docker, Terraform,...Yevgeniy Brikman
This is a talk about managing your software and infrastructure-as-code that walks through a real-world example of deploying microservices on AWS using Docker, Terraform, and ECS.
This document provides instructions for installing various development tools on Mac OSX, including Xcode, command line tools, Homebrew, Ruby, Python, VirtualBox, Vagrant, Chef, and Ansible. It describes downloading and installing each tool, and in some cases providing additional configuration steps or notes on cleaning up existing installations. The overall purpose is to set up a standard development environment with common utilities.
Node.js is a JavaScript runtime built on Chrome's V8 engine that is used to develop fast and scalable network applications. It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, especially for data-intensive real-time applications that run across distributed devices. Node.js relies heavily on asynchronous event handling, callbacks, and data streams.
The document discusses Express.js, a web framework for Node.js. It provides an overview of Express.js and how it can be used to start an application server listening on a port, handle HTTP requests asynchronously with methods like GET and POST. It also includes code samples of setting up a basic Express server with a "Hello World" route, installing Express, and using routes to define how the app responds to different URIs and HTTP methods.
This document demonstrates how to use a Groovy scripting component to pause a Mule flow for a period of time before processing the payload. The flow uses a file inbound endpoint to pick up a file, passes it to a Groovy script that sleeps for 3000ms, and then sends the file to a file outbound endpoint. The Groovy script allows pausing the flow by calling the sleep method, holding the payload for a specified interval before continuing processing.
RingoJS is a JavaScript platform that runs on the JVM. It was started by Hannes Wallnöfer and is the successor to Helma and HelmaNG. RingoJS conforms to CommonJS standards and supports features like hot reloading, profiling, debugging, and sandboxing. It can run as a standalone process or within a web application container since it runs on the JVM. Examples are provided of using RingoJS for multithreaded JavaScript and web applications using libraries like Stick. Community support is available on IRC and Twitter. RingoJS can be used for standalone applications, extending existing Java web apps, and code reuse between server and client-side JavaScript.
This document discusses using a Groovy scripting component in Mule to add a delay to a flow. The Groovy component uses the sleep method to pause message processing for a specified time period. This allows holding the payload for a set interval before writing the file to the outbound location. The example flow reads a file from one directory, uses a Groovy script to sleep for 3000ms, then writes the file to another directory.
This document provides an overview of Mono, an open source implementation of Microsoft's .NET Framework that allows developers to build and run .NET applications on non-Windows platforms. It discusses what Mono is, the languages and platforms it supports, its class libraries and components, debugging tools, and GUI frameworks. It also covers Mono's support for databases, mobile development using Xamarin, and the project's goals for full .NET Framework compatibility going forward.
Performance Comparison of Mutex, RWLock and Atomic types in RustMitsunori Komatsu
This document compares the performance of Mutex, RWLock, and atomic types for concurrent access in Rust. It presents benchmark results from a Rust program that tests updating a shared variable with these different synchronization methods under varying read/write loads on Linux and macOS. The results show that RWLock performance degrades significantly with more writes, Mutex performance is consistent even with writes, and atomic types are always the fastest for a counter.
More infos on http://www.mathieu-elie.net/eventmachine-introduction-pres-rubybdx-screencast-fr
Ruby Eventmachine is a really goop option to build scalable real time servers and more...
This document summarizes the technology stack and use of websockets at oneplaylist.fm. The key aspects are:
- The stack includes Ruby on Rails, Redis, EventMachine, HAProxy, Resque, MongoDB, CoffeeScript, and Elasticsearch.
- HAProxy is used for TCP load balancing and handles HTTP as well, distributing traffic across multiple Rails app servers, Elasticsearch instances, and the EventMachine websocket server.
- Websockets are handled via a TCP connection to the EventMachine server through a separate subdomain, keeping HTTP requests on the main app domain.
- Redis is used for centralized communication and state management via Pub/Sub, with tokens mapping users to channels and event data pushed
The document provides an overview of Node.js including that it is a cross-platform runtime environment for JavaScript outside the browser, uses an event-driven and non-blocking I/O model, and is perfect for data-intensive real-time applications. It discusses Node.js features like being extremely fast, asynchronous and event-driven, single-threaded, and highly scalable. The document also covers installing Node.js, using the command line interface and REPL, basic commands, data types, functions, buffers, the process object, global scope, and exporting modules.
This document outlines a plan to build a customized Linux distribution based on Ubuntu from scratch. It discusses using Ubuntu 8.10 to build the distribution, tools needed like debootstrap and binutils, including a lightweight desktop environment and LAMPP server, creating a local software repository, modifying artwork, and ultimately producing a bootable live CD with the customized Linux distro. The goal is to get experience building a own Linux distribution and live system.
Server::Starter is a daemon that allows hot-deployment of server programs. It was originally designed for Perl web applications but can now also be used to run Java web apps by having the Java Virtual Machine inherit the listening socket from the parent Server::Starter process. This new capability allows easy upgrading of the JVM version and shutdown of old processes when new ones are launched, though it does not currently work on Mac OS X.
Vagrant are you still develop in a non-virtual environment-Anatoly Bubenkov
This document introduces Vagrant, an open source tool that allows users to create and manage virtual development environments. It discusses how Vagrant works with virtualization providers like VirtualBox to provide reproducible environments that match production. The document provides step-by-step instructions for installing Vagrant, configuring virtual machines using Vagrantfiles, provisioning machines, and networking. It highlights benefits like versioning environments and sharing code between hosts and guests.
The document summarizes eZ Content Staging, a tool that allows content editors to stage content changes on a separate server before pushing them live. It works by registering all content changes on the source server and using the RESTful ggwebservices extension to sync changes between servers. While functional, it is still a beta implementation with some limitations like requiring identical content definitions and sections on both servers.
The course syllabus of our course in metasploit from novice to Ninja advanced skills.
If you are a penetration tester, network/system administrator or even novice finding your way into ethical hacking >> this course is for you.
OpenNebulaconf2017US: Rapid scaling of research computing to over 70,000 cor...OpenNebula Project
Since 2008, Harvard Research Computing has undertaken a significant scaling challenge increasing their available HPC and storage from 200 cores and 20TB to over 70,000 cores and 35PB of storage. James will discuss the journey and the highlights of extending the computing to support world class research and education. During the evolution of the computing platforms at Harvard they also helped to support and build the Massachusetts Green High Performance Computing Center which is a dedicated high performance research computing facility in Holyoke, MA. This facility continues to support large scale research computing with sustainable energy and advanced networking. Recently the NESE project (New England Storage Exchange) was funded by the National Science Foundation. This is a multi-petabyte object store that is supported by the existing MGHPCC facility supporting the region. The Data Science Initiative at Harvard has also been recently announced and will require even further advanced computation to support their research faculty. Now as the world takes a grip on "cloud" but more importantly remotely provisioned infrastructure, hybrid models for compute and storage are required along with flexibility to be able to further accelerate science. James will discuss their strategy moving forwards and the current and existing infrastructures in place to allow for seamless provisioning of research computing. Justin Riley Team Lead at Harvard, will follow this talk with a deep technical discussion of the specific implementation of the systems that Harvard are designing in concert with the development teams and leadership at OpenNebula to support research computing to make their platforms more resilient and able to continue to scale.
This document describes the challenges of manually configuring and deploying infrastructure for Ruby on Rails and Sinatra applications. It introduces infrastructure as code using Docker and Terraform to define and deploy two microservices—a Sinatra backend and Rails frontend—to Amazon ECS. Docker is used to package each application into images to ensure consistency across environments. Terraform will configure and deploy the necessary AWS resources. Using these tools reduces manual effort and errors compared to traditional deployment methods.
This document describes the challenges of manually configuring and deploying infrastructure for Ruby on Rails and Sinatra applications. It introduces infrastructure as code using Docker and Terraform to define and deploy two microservices—a Sinatra backend and Rails frontend—to Amazon ECS. Docker is used to package each application into images to ensure consistency across environments. Terraform will configure and deploy the necessary AWS resources. Using these tools reduces manual effort and errors compared to traditional deployment methods.
Infrastructure as code: running microservices on AWS using Docker, Terraform,...Yevgeniy Brikman
This is a talk about managing your software and infrastructure-as-code that walks through a real-world example of deploying microservices on AWS using Docker, Terraform, and ECS.
This document provides instructions for installing various development tools on Mac OSX, including Xcode, command line tools, Homebrew, Ruby, Python, VirtualBox, Vagrant, Chef, and Ansible. It describes downloading and installing each tool, and in some cases providing additional configuration steps or notes on cleaning up existing installations. The overall purpose is to set up a standard development environment with common utilities.
[FOSDEM2023] Bit-for-bit reproducible builds with DockerfileAkihiro Suda
This document discusses techniques for making container builds reproducible, including:
- Using BuildKit v0.11 which supports deterministic timestamps through SOURCE_DATE_EPOCH
- Using repro-get to cryptographically lock package versions to ensure reproducible package installation
- Future work including simplifying Dockerfiles, caching packages locally, and integrating with provenance standards
Why everyone is excited about Docker (and you should too...) - Carlo Bonamic...Codemotion
In less than two years Docker went from first line of code to major Open Source project with contributions from all the big names in IT. Everyone is excited, but what's in for me - as a Dev or Ops? In short, Docker makes creating Development, Test and even Production environments an order of magnitude simpler, faster and completely portable across both local and cloud infrastructure. We will start from Docker main concepts: how to create a Linux Container from base images, run your application in it, and version your runtimes as you would with source code, and finish with a concrete example.
Startup Containers in Lightning Speed with Lazy Image DistributionKohei Tokunaga
Talked about lazy container image distribution technologies including containerd + Stargz Snapshotter ( https://github.com/containerd/stargz-snapshotter ) at KubeCon+CloudNativeCon Europe 2020 Virtual.
This document provides an overview of Docker, explaining that Docker is an engine that sits between the OS and containers to enable rapid application deployment. It describes Docker components like images, containers, and repositories. Images are templates used to deploy containers, with images built from Dockerfiles that define layers. The document highlights that containers are stateless, and various strategies for handling configuration files. It also notes drawbacks like containers being read-only, and tips like using base images and keeping the firewall on.
Docker allows applications and their dependencies to be packaged into standardized units called containers that can run on any computing environment regardless of the underlying infrastructure. Containers leverage and share the host operating system's kernel to run as isolated processes, which improves performance and reduces overhead compared to virtual machines. Dockerfiles define the build instructions for container images, while Docker Compose allows defining and running multi-container applications with a single configuration file.
This document discusses Docker, an open source project that automates the deployment of applications inside software containers. It begins by describing common problems in application deployment and how virtual machines address some issues but introduce overhead. It then summarizes the history and rapid growth of Docker since its launch in 2013. The rest of the document dives into technical aspects of Docker like how images and containers work, comparisons to virtual machines, security considerations, the Docker workflow, and how Docker relates to DevOps and continuous delivery practices.
The document describes how to create an Ubuntu repository mirror using the apt-mirror tool. It involves configuring where the mirror is stored, how many download threads to use, and which Ubuntu repositories to mirror, such as main, restricted, universe, and multiverse for specific releases. The mirror can then be accessed by client machines by updating their sources.list to point to the mirror server.
Shared Object images in Docker: What you need is what you want.Workhorse Computing
Docker images require appropriate shared object files (".so") to run. Rather than assume Ubuntu has the correct lib's, use ldd to get a list and install the ones you know you need. This can reduce the underlying images from GB to a few MB.
My early experience with Mirantis OpenStack 6.0Guy Tel-Zur
The document summarizes the author's early experience deploying Mirantis OpenStack 6 in a VirtualBox virtual environment on their laptop. It describes downloading the ISO image, running Fuel to deploy 4 VMs in a master-slave configuration with Ceph storage. The cloud infrastructure is deployed, which takes a long time, and then the author accesses the OpenStack portal and launches their first instance, accessing the console.
Docker is an open-source tool that allows users to package applications into standardized units called containers for development and deployment. Containers allow applications to be isolated while efficiently sharing resources on a single Linux host. Docker encourages microservices architecture and streamlines the development lifecycle from development to production by ensuring consistency across environments.
Shipping Applications to Production in Containers with DockerJérôme Petazzoni
This document provides an overview and introduction to using Docker in production environments. It discusses how Docker can help with "solved" problems like installing, building, and distributing applications. It also covers important areas for production Docker usage, such as service discovery, orchestration, performance, configuration management, and sysadmin tasks. The document outlines various approaches in each area and notes that there are often multiple valid solutions to consider.
Docker allows packaging applications and dependencies into standardized images for development and distribution. Images act as templates for lightweight containers that share resources and isolate processes. Containers provide scalability, portability across operating systems, and use of common components. Example uses include creating reusable development environments, deploying scalable systems from images, and distributing applications through containers.
Welcome to the wonderful world of composer,
We will see what is composer, how we can use it.
Namespacing (What, How & Why)
& Autoloading your own code using composer
How to build your own OpenStack distro using Puppet OpenStackOpenStack
In a joint meetup with the Sydney Puppet User Group, Michael will demonstrate how to build an OpenStack distro from scratch using the community OpenStack Puppet modules. In an interactive session with the audience, we’re going to pick a Linux distro, use the roles + profiles pattern, use Hiera to populate data, and build up a complete OpenStack cluster inside VMs running the OpenStack Identity, Image, Compute and Networking services. Although there are vendor tools available that can assist with this process, such as Fuel, Cisco OpenStack Installer and Aptira's own Stacktira, understanding how the modules fit together will allow an operator to easily add their own customisations to the any of these systems.
Michael has been working in the cloud computing space, both in a research and enterprise context for several years, with OpenStack production experience stretching all the way back to the third release, 'Cactus'. He leads the Aptira software engineering team in developing deployment and operations tools for OpenStack. Michael is a maintainer of and a driving force behind the most widely used OpenStack deployment tool set, Puppet-OpenStack. He holds a Bachelor of Software Engineering with Honours from Australian National University and is regularly invited back to his alma mater to guest lecture.
Using Docker to build and test in your laptop and JenkinsMicael Gallego
Docker is changing the way we create and deploy software. This presentation is a hands-on introduction to how to use docker to build and test software, in your laptop and in your Jenkins CI server
Imagine for a while that Rails wouldn't exist. How would we write a MVC app from scratch?
Rack provides a minimal interface for developing web applications in Ruby. In fact it's the solid foundation of all major Ruby powered web frameworks.
During this talk we will dive deep into Rack. We will see the smallest possible Rack Application and learn how it works, by studying Rack internals. We will grow the Application step by step till we implement it in simple MVC style.
The document discusses the return of an old enemy to the PHP community who has reformed and is now well-organized to improve. It then provides an extensive list of PHP libraries, frameworks, and tools categorized by function to help with improving PHP skills and code quality. The list is maintained by the Awesome PHP project and covers areas like dependency management, frameworks, testing, security, and more.
Rails Girls: Programming, Web Applications and Ruby on RailsDonSchado
This document provides an introduction to programming, web applications, and Ruby on Rails. It discusses key concepts like HTTP requests and responses, the MVC pattern, and the Rails framework. It encourages learning programming through communication, passion, research, problem solving and patience. The document concludes by recommending resources for learning to code in Ruby on Rails.
This document discusses the Decorator and Presenter design patterns as solutions to fat controllers and views that contain too much logic. The Decorator pattern allows dynamically adding behavior to individual objects by wrapping them, keeping concerns separated. A Presenter is a specialized Decorator that provides view-specific data. The document recommends using a Presenter/Decorator like Draper to move presentation logic out of controllers and into dedicated objects. This keeps controllers lean and logic out of views.
Computer science is more than just writing code. So we will take a brief look on some theoretical concepts and problems which scientists study for decades (and maybe never will solve).
Mutation Testing is awesome! And it is used to evaluate the quality of existing software tests by modifying the program's source code, based on well-defined mutation operators. Each 'mutated' version is called a mutant and a test which detects the mutation (fail) will kill the mutant. Mutants without failing tests are alive!
This document summarizes how a basic Rails application works using the example of a Facebook Lite app. The app has models like Post and User, controllers like WelcomeController, views to render the HTML, and a database to store posts. When a request comes in, the Rails router directs it to the appropriate controller action, which gets data from the model and passes it to a view which inserts it into a layout to send the HTML response back to the client.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
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.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
10. Matz (2011) "discourage the use of autoload"
”
[...] autoload itself has fundamental flaw under
multi-thread environment. I should have remove
autoload when I added threads to the language.
[...] I hereby declare the future deprecation of
autoload. Ruby will keep autoload for a while,
since 2.0 should keep compatibility to 1.9.
But you don't expect it will survive further future,
e.g. 3.0.
I strongly discourage the use of autoload in any
standard libraries.
https://www.ruby-forum.com/topic/3036681
https://bugs.ruby-lang.org/issues/5653
11. What I think after some research...
”
Peter Cooper: I'll be taking the "cross that bridge
when I get to it" approach
http://www.rubyinside.com/ruby-techniques-revealed-autoload-1652.html
I‘m full of autoload
because the lazy loading feature is awesome...