Docker introduction based on webdevops environment and some tips about using docker for developing Neos CMS.
Presented at the Neos Meetup Munich on 23rd August 2017.
This document discusses Docker, LXC containers, and how Ansible can be used with Docker. It provides an overview of key features of LXC and Docker containers, including portability, isolation, and resource control. It then covers using Dockerfiles to build images, common Docker commands, overriding defaults, and the ambassador pattern. It concludes by briefly mentioning using Ansible to build Docker images and run containers.
Стажировка 2015. Разработка. Занятие 5. Использование nginx7bits
This document provides an overview of how to install and configure the Nginx web server on Ubuntu. It discusses:
1. Installing Nginx using the command "sudo apt-get install nginx".
2. The directory structure of an Nginx installation, including configuration files and virtual host configurations.
3. Examples of basic Nginx server configurations, including serving static files and adding additional configuration options.
This document discusses Conair, a Docker implementation that uses systemd for container management and Btrfs for snapshots. It advocates for using fewer configurations and more conventions. Key aspects include using Archlinux as a base image, systemd-networkd for networking, and Btrfs subvolumes and snapshots to manage container images. Conair provides commands like "conair init" to set up the environment and "conair run" and others to manage containers, taking advantage of systemd integration while running multiple services within a single container.
Docker Insight workshop @ IT Aveiro 19/11/14. Insight about docker technology with advanced concepts, scenarios (yeoman in docker, Netbeans in docker, Eclipse in docker).
This document discusses optimizing VM images for OpenStack with KVM/QEMU. It covers disk and container formats like RAW, QCOW2, and AMI. It also discusses tools for manipulating disk files, launching an instance, image OS preparation using cloud-init, authentication models, networking configuration, and hotplug support. The goal is to provide optimized images that support features like snapshots while allowing faster instance launching and increased storage efficiency.
This document provides an introduction and overview of arbiter volumes in Gluster distributed file systems. It begins with background on Gluster and replicate (AFR) volumes. It then discusses how split-brains can occur in replica volumes and how client quorums help prevent this. The document introduces arbiter volumes as a way to provide the same consistency as 3-way replication while using less space. It explains how arbiter volumes are created and work, focusing on the arbitration logic and role of the arbiter brick. Brick sizing strategies and monitoring of arbiter volumes are also covered.
This document provides an agenda and overview for a Gluster tutorial presentation. It includes sections on Gluster basics, initial setup using test drives and VMs, extra Gluster features like snapshots and quota, and tips for maintenance and troubleshooting. Hands-on examples are provided to demonstrate creating a Gluster volume across two servers and mounting it as a filesystem. Terminology around bricks, translators, and the volume file are introduced.
Container-relevant Upstream Kernel DevelopmentsDocker, Inc.
There is a lot of work going on in upstream Linux by a number of different entities focused on making containers more featureful. For example, namespaced file capabilities, LSM stacking, namespaced integrity management, user-id shifting filesystems, and perhaps even a `struct container` definition in the kernel proper.
In this talk, I'll cover several of these sorts of container-relevant patchsets that have been proposed in the kernel, including motivating why they are interesting, as well as discussing where the patchsets need to go before being merged to mainline.
This document discusses Docker, LXC containers, and how Ansible can be used with Docker. It provides an overview of key features of LXC and Docker containers, including portability, isolation, and resource control. It then covers using Dockerfiles to build images, common Docker commands, overriding defaults, and the ambassador pattern. It concludes by briefly mentioning using Ansible to build Docker images and run containers.
Стажировка 2015. Разработка. Занятие 5. Использование nginx7bits
This document provides an overview of how to install and configure the Nginx web server on Ubuntu. It discusses:
1. Installing Nginx using the command "sudo apt-get install nginx".
2. The directory structure of an Nginx installation, including configuration files and virtual host configurations.
3. Examples of basic Nginx server configurations, including serving static files and adding additional configuration options.
This document discusses Conair, a Docker implementation that uses systemd for container management and Btrfs for snapshots. It advocates for using fewer configurations and more conventions. Key aspects include using Archlinux as a base image, systemd-networkd for networking, and Btrfs subvolumes and snapshots to manage container images. Conair provides commands like "conair init" to set up the environment and "conair run" and others to manage containers, taking advantage of systemd integration while running multiple services within a single container.
Docker Insight workshop @ IT Aveiro 19/11/14. Insight about docker technology with advanced concepts, scenarios (yeoman in docker, Netbeans in docker, Eclipse in docker).
This document discusses optimizing VM images for OpenStack with KVM/QEMU. It covers disk and container formats like RAW, QCOW2, and AMI. It also discusses tools for manipulating disk files, launching an instance, image OS preparation using cloud-init, authentication models, networking configuration, and hotplug support. The goal is to provide optimized images that support features like snapshots while allowing faster instance launching and increased storage efficiency.
This document provides an introduction and overview of arbiter volumes in Gluster distributed file systems. It begins with background on Gluster and replicate (AFR) volumes. It then discusses how split-brains can occur in replica volumes and how client quorums help prevent this. The document introduces arbiter volumes as a way to provide the same consistency as 3-way replication while using less space. It explains how arbiter volumes are created and work, focusing on the arbitration logic and role of the arbiter brick. Brick sizing strategies and monitoring of arbiter volumes are also covered.
This document provides an agenda and overview for a Gluster tutorial presentation. It includes sections on Gluster basics, initial setup using test drives and VMs, extra Gluster features like snapshots and quota, and tips for maintenance and troubleshooting. Hands-on examples are provided to demonstrate creating a Gluster volume across two servers and mounting it as a filesystem. Terminology around bricks, translators, and the volume file are introduced.
Container-relevant Upstream Kernel DevelopmentsDocker, Inc.
There is a lot of work going on in upstream Linux by a number of different entities focused on making containers more featureful. For example, namespaced file capabilities, LSM stacking, namespaced integrity management, user-id shifting filesystems, and perhaps even a `struct container` definition in the kernel proper.
In this talk, I'll cover several of these sorts of container-relevant patchsets that have been proposed in the kernel, including motivating why they are interesting, as well as discussing where the patchsets need to go before being merged to mainline.
This document summarizes a presentation on KVM optimizations and best practices for both desktop and datacenter use. It covers tools like Libvirtd and virt-manager, virtio drivers, image backends like Qcow2, CPU pinning and cgroups, networking configurations, desktop sharing with SPICE, and challenges in cloud deployments around live migration, storage, and network isolation.
Microsoft SQL Server with Linux and Dockerroskakori
This slightly tongue in cheek lightning talk shows how to get started with Microsoft SQL server on Linux in Docker.It explains installation, startup, data base creation on a local volume and how to connect using ODBC or JDBC.
OSv is a new operating system designed specifically for virtual machines in cloud environments. It aims to run existing cloud applications faster than Linux by simplifying the OS design to focus on a single application per VM. OSv implements many Linux APIs for compatibility but explores new APIs and designs to further reduce overhead, such as lock-free networking and direct access to page tables. Benchmark results show OSv outperforming Linux on networking, context switching, and memory-intensive workloads.
This document discusses Docker concepts and implementation in Chinese. It covers Linux kernel namespaces, seccomp, cgroups, LXC, and Docker. Namespaces isolate processes and resources between containers. Cgroups control resource limits and prioritization. LXC provides containerization tools while Docker builds on these concepts and provides an easy-to-use interface for containers. The document also provides examples of using namespaces, cgroups, LXC, and building Docker images.
This document discusses different types of virtualization including hardware-level virtualization using tools like Oracle VirtualBox and KVM, operating system-level virtualization using containers like LXC and Docker, and provides a brief demo and questions. It outlines four main types: full virtualization, bare metal virtualization, OS containers, and application containers. For each it describes the software layers between the hardware and guest systems.
OSBConf 2015 | Scale out backups with bareos and gluster by niels de vosNETWAYS
During this talk, Niels will explain the basics of Gluster and show how Bareos integrates with it. Gluster provides a Software Defined Storage environment that can scale-out when the backup storage needs to grow. With a live demonstration Niels shows how simple it is to setup a small Gluster environment and configure Bareos to use the native Gluster protocol.
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.
Glusto is a framework for developing distributed system tests using Python. It combines commonly used tools like SSH, REST, and unit test frameworks into a single interface. Tests can be written using standard unittest or pytest formats and run from the command line. Glusto provides features like remote access, configuration handling, and test discovery/execution across multiple nodes defined in a YAML configuration file. The document provides instructions on installing Glusto and glustolibs-gluster, writing tests with Glusto features, and running tests via the Glusto CLI.
This document provides instructions and specifications for setting up a storage environment for practical testing in Proxmox. It describes setting up various virtual machines and containers with Linux and Windows operating systems along with networking tools. It also covers configuring block storage, file storage, and object storage using local disks, RBD/Ceph distributed storage, and examples of container and virtual machine networking configurations for testing interconnection goals.
XPDS14 - Scaling Xen's Aggregate Storage Performance - Felipe Franciosi, CitrixThe Linux Foundation
This document summarizes Felipe Franciosi's presentation on scaling Xen's aggregate storage performance. It discusses measuring storage performance, the state of the art technologies including grant mapping, persistent grants and tapdisk, and achieving aggregate measurements over 10GB/s using very fast local storage. It also outlines areas for further improvement such as increasing single-VBD performance and enabling many-VBD configurations to perform better by avoiding data copies.
This document compares virtual machines (VMs) to containers and discusses their differences. It notes that VMs have higher overhead than containers and can support more instances per server. Containers offer near-native performance and scale better. The document also outlines ongoing and future work to further integrate container technologies into the Linux kernel to provide capabilities like checkpoint/restore and live migration of containers across servers.
XPDS14 - OSv - A Modern Semi-POSIX LibraryOS - Glauber Costa, Cloudius SystemsThe Linux Foundation
During last year, we have seen the rise of LibraryOSes in the hypervisor world. Fast, scalable and light, they bring to hypervisors the resource efficiency of Containers while maintaining many of its well known isolation and manageability advantages.
While most LibraryOSes are niche in what they do, OSv is designed to run almost any POSIX compliant application and just have a slight focus in the Java application. Which applications can we run? And why? What's the story with Java and what can users gain from it? And more importantly: How can Xen users and the Xen community at large benefit from OSv? Those are some of the questions that I intend to cover in this presentation.
This document outlines an agenda for a two-day workshop on containers and Docker. Day 1 covers virtualization theory and hands-on labs with VirtualBox. Day 2 focuses on containers theory, Docker, and hands-on Docker labs. The document explains key Docker concepts like images, the Dockerfile for building images, layers, networking, and orchestration. It provides instructions for several hands-on Docker labs including running cowsay in a container, pulling an existing image, building a custom image that runs cowsay with fortunes, and publishing the custom image to Docker Hub.
Historically, sharing a Linux server entailed all kinds of untenable compromises. In addition to the security concerns, there was simply no good way to keep one application from hogging resources and messing with the others. The classic “noisy neighbor” problem made shared systems the bargain-basement slums of the Internet, suitable only for small or throwaway projects.
Serious use-cases traditionally demanded dedicated systems. Over the past decade virtualization (in conjunction with Moore’s law) has democratized the availability of what amount to dedicated systems, and the result is hundreds of thousands of websites and applications deployed into VPS or cloud instances. It’s a step in the right direction, but still has glaring flaws.
Most of these websites are just piles of code sitting on a server somewhere. How did that code got there? How can it can be scaled? Secured? Maintained? It’s anybody’s guess. There simply isn’t enough SysAdmin talent in the world to meet the demands of managing all these apps with anything close to best practices without a better model.
Containers are a whole new ballgame. Unlike VMs, you skip the overhead of running an entire OS for every application environment. There’s also no need to provision a whole new machine to have a place to deploy, meaning you can spin up or scale your application with orders of magnitude more speed and accuracy.
1) The Docker Volume Isolator in Mesos allows containers to use external distributed storage volumes for persistent data, providing availability and scale beyond a single host.
2) It uses a driver-based model where volume drivers like Convoy and Rex-ray manage the external storage, and the isolator handles mounting volumes into containers.
3) The isolator mounts and unmounts volumes using the driver name and volume name, providing operators flexibility in their choice of storage platforms like IBM Spectrum Scale, AWS EBS, or GCE.
Container technologies use namespaces and cgroups to provide isolation between processes and limit resource usage. Docker builds on these technologies using a client-server model and additional features like images, containers, and volumes to package and run applications reliably and at scale. Kubernetes builds on Docker to provide a platform for automating deployment, scaling, and operations of containerized applications across clusters of hosts. It uses labels and pods to group related containers together and services to provide discovery and load balancing for pods.
Vincent Van der Kussen discusses KVM and related virtualization tools. KVM is a kernel module that allows Linux to function as a hypervisor. It supports x86, PowerPC and s390 architectures. Key tools discussed include libvirt (the virtualization API), virsh (command line tool for libvirt), Qemu (runs virtual machines), and virt-tools like virt-install. The document provides an overview of using these tools to manage virtual machines and storage.
Intro- Docker Native for OSX and WindowsThomas Chacko
The document discusses Docker on various operating systems including Linux, Windows, and Mac OS X. It provides an overview of using Docker Toolbox versus installing Docker natively. When using Docker natively, it installs the Docker client, engine, compose and other tools directly onto the operating system leveraging native virtualization capabilities for improved performance compared to Docker Toolbox. However, the native versions are currently in beta with some limitations like only allowing one Linux virtual machine on Windows Hyper-V.
Deploying Windows Containers on Windows Server 2016Ben Hall
This document discusses deploying Docker containers on Windows Server 2016. It provides an introduction to Docker and containers, explains how containers work on Windows, and demonstrates how to deploy common applications like IIS and ASP.NET within Windows containers. It also covers building Windows-based Docker images, running containers in production, and the future of containers on Windows platforms.
This document summarizes a presentation on KVM optimizations and best practices for both desktop and datacenter use. It covers tools like Libvirtd and virt-manager, virtio drivers, image backends like Qcow2, CPU pinning and cgroups, networking configurations, desktop sharing with SPICE, and challenges in cloud deployments around live migration, storage, and network isolation.
Microsoft SQL Server with Linux and Dockerroskakori
This slightly tongue in cheek lightning talk shows how to get started with Microsoft SQL server on Linux in Docker.It explains installation, startup, data base creation on a local volume and how to connect using ODBC or JDBC.
OSv is a new operating system designed specifically for virtual machines in cloud environments. It aims to run existing cloud applications faster than Linux by simplifying the OS design to focus on a single application per VM. OSv implements many Linux APIs for compatibility but explores new APIs and designs to further reduce overhead, such as lock-free networking and direct access to page tables. Benchmark results show OSv outperforming Linux on networking, context switching, and memory-intensive workloads.
This document discusses Docker concepts and implementation in Chinese. It covers Linux kernel namespaces, seccomp, cgroups, LXC, and Docker. Namespaces isolate processes and resources between containers. Cgroups control resource limits and prioritization. LXC provides containerization tools while Docker builds on these concepts and provides an easy-to-use interface for containers. The document also provides examples of using namespaces, cgroups, LXC, and building Docker images.
This document discusses different types of virtualization including hardware-level virtualization using tools like Oracle VirtualBox and KVM, operating system-level virtualization using containers like LXC and Docker, and provides a brief demo and questions. It outlines four main types: full virtualization, bare metal virtualization, OS containers, and application containers. For each it describes the software layers between the hardware and guest systems.
OSBConf 2015 | Scale out backups with bareos and gluster by niels de vosNETWAYS
During this talk, Niels will explain the basics of Gluster and show how Bareos integrates with it. Gluster provides a Software Defined Storage environment that can scale-out when the backup storage needs to grow. With a live demonstration Niels shows how simple it is to setup a small Gluster environment and configure Bareos to use the native Gluster protocol.
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.
Glusto is a framework for developing distributed system tests using Python. It combines commonly used tools like SSH, REST, and unit test frameworks into a single interface. Tests can be written using standard unittest or pytest formats and run from the command line. Glusto provides features like remote access, configuration handling, and test discovery/execution across multiple nodes defined in a YAML configuration file. The document provides instructions on installing Glusto and glustolibs-gluster, writing tests with Glusto features, and running tests via the Glusto CLI.
This document provides instructions and specifications for setting up a storage environment for practical testing in Proxmox. It describes setting up various virtual machines and containers with Linux and Windows operating systems along with networking tools. It also covers configuring block storage, file storage, and object storage using local disks, RBD/Ceph distributed storage, and examples of container and virtual machine networking configurations for testing interconnection goals.
XPDS14 - Scaling Xen's Aggregate Storage Performance - Felipe Franciosi, CitrixThe Linux Foundation
This document summarizes Felipe Franciosi's presentation on scaling Xen's aggregate storage performance. It discusses measuring storage performance, the state of the art technologies including grant mapping, persistent grants and tapdisk, and achieving aggregate measurements over 10GB/s using very fast local storage. It also outlines areas for further improvement such as increasing single-VBD performance and enabling many-VBD configurations to perform better by avoiding data copies.
This document compares virtual machines (VMs) to containers and discusses their differences. It notes that VMs have higher overhead than containers and can support more instances per server. Containers offer near-native performance and scale better. The document also outlines ongoing and future work to further integrate container technologies into the Linux kernel to provide capabilities like checkpoint/restore and live migration of containers across servers.
XPDS14 - OSv - A Modern Semi-POSIX LibraryOS - Glauber Costa, Cloudius SystemsThe Linux Foundation
During last year, we have seen the rise of LibraryOSes in the hypervisor world. Fast, scalable and light, they bring to hypervisors the resource efficiency of Containers while maintaining many of its well known isolation and manageability advantages.
While most LibraryOSes are niche in what they do, OSv is designed to run almost any POSIX compliant application and just have a slight focus in the Java application. Which applications can we run? And why? What's the story with Java and what can users gain from it? And more importantly: How can Xen users and the Xen community at large benefit from OSv? Those are some of the questions that I intend to cover in this presentation.
This document outlines an agenda for a two-day workshop on containers and Docker. Day 1 covers virtualization theory and hands-on labs with VirtualBox. Day 2 focuses on containers theory, Docker, and hands-on Docker labs. The document explains key Docker concepts like images, the Dockerfile for building images, layers, networking, and orchestration. It provides instructions for several hands-on Docker labs including running cowsay in a container, pulling an existing image, building a custom image that runs cowsay with fortunes, and publishing the custom image to Docker Hub.
Historically, sharing a Linux server entailed all kinds of untenable compromises. In addition to the security concerns, there was simply no good way to keep one application from hogging resources and messing with the others. The classic “noisy neighbor” problem made shared systems the bargain-basement slums of the Internet, suitable only for small or throwaway projects.
Serious use-cases traditionally demanded dedicated systems. Over the past decade virtualization (in conjunction with Moore’s law) has democratized the availability of what amount to dedicated systems, and the result is hundreds of thousands of websites and applications deployed into VPS or cloud instances. It’s a step in the right direction, but still has glaring flaws.
Most of these websites are just piles of code sitting on a server somewhere. How did that code got there? How can it can be scaled? Secured? Maintained? It’s anybody’s guess. There simply isn’t enough SysAdmin talent in the world to meet the demands of managing all these apps with anything close to best practices without a better model.
Containers are a whole new ballgame. Unlike VMs, you skip the overhead of running an entire OS for every application environment. There’s also no need to provision a whole new machine to have a place to deploy, meaning you can spin up or scale your application with orders of magnitude more speed and accuracy.
1) The Docker Volume Isolator in Mesos allows containers to use external distributed storage volumes for persistent data, providing availability and scale beyond a single host.
2) It uses a driver-based model where volume drivers like Convoy and Rex-ray manage the external storage, and the isolator handles mounting volumes into containers.
3) The isolator mounts and unmounts volumes using the driver name and volume name, providing operators flexibility in their choice of storage platforms like IBM Spectrum Scale, AWS EBS, or GCE.
Container technologies use namespaces and cgroups to provide isolation between processes and limit resource usage. Docker builds on these technologies using a client-server model and additional features like images, containers, and volumes to package and run applications reliably and at scale. Kubernetes builds on Docker to provide a platform for automating deployment, scaling, and operations of containerized applications across clusters of hosts. It uses labels and pods to group related containers together and services to provide discovery and load balancing for pods.
Vincent Van der Kussen discusses KVM and related virtualization tools. KVM is a kernel module that allows Linux to function as a hypervisor. It supports x86, PowerPC and s390 architectures. Key tools discussed include libvirt (the virtualization API), virsh (command line tool for libvirt), Qemu (runs virtual machines), and virt-tools like virt-install. The document provides an overview of using these tools to manage virtual machines and storage.
Intro- Docker Native for OSX and WindowsThomas Chacko
The document discusses Docker on various operating systems including Linux, Windows, and Mac OS X. It provides an overview of using Docker Toolbox versus installing Docker natively. When using Docker natively, it installs the Docker client, engine, compose and other tools directly onto the operating system leveraging native virtualization capabilities for improved performance compared to Docker Toolbox. However, the native versions are currently in beta with some limitations like only allowing one Linux virtual machine on Windows Hyper-V.
Deploying Windows Containers on Windows Server 2016Ben Hall
This document discusses deploying Docker containers on Windows Server 2016. It provides an introduction to Docker and containers, explains how containers work on Windows, and demonstrates how to deploy common applications like IIS and ASP.NET within Windows containers. It also covers building Windows-based Docker images, running containers in production, and the future of containers on Windows platforms.
This document discusses setting up a PHP development environment using Docker containers. It describes using Docker to run PHP, Apache/Nginx, MySQL, and Memcached services in separate containers linked together. Custom Docker images are built for the PHP application code and for adding development tools. Linked volumes and DNS aliases allow for easy access and configuration across containers. Docker Compose is used to define and run the multi-container app stack.
This document discusses Docker and Kubernetes concepts and how they can be used to deploy applications and services. It provides examples of deploying Dataverse, a data repository system, using Docker containers and Kubernetes. Key points covered include Docker concepts like images, containers and registries. It also discusses tools like Docker Compose for defining multi-container applications and Kubernetes for orchestrating containers across a cluster.
Docker is an open-source container platform that allows applications to run in isolated containers. It provides lightweight virtualization that is portable and can run anywhere. Fig is a developer-friendly tool that builds upon Docker by providing isolated development environments and allowing applications to be shipped with their configuration through a simple YAML file format. Reconnix uses Docker and Fig to develop and deploy applications in a standardized and portable way.
This document discusses software defined storage based on OpenStack. It provides background on the author's experience including medical image processing, Linux kernel development, and OpenStack components like Heat, SDN and OPNFV. It then discusses several OpenStack storage components - Cinder for block storage, Swift for object storage, and Manila for shared file systems. It explains how these components work, their APIs and plugins to interface with different backend storage systems. Finally, it compares Cinder, Swift and other technologies like Ceph.
The document discusses software defined storage based on OpenStack. It provides background on the author's experience including medical image processing and OpenStack development. It then describes key OpenStack storage components including Cinder for block storage, Swift for object storage, and Manila for shared file systems. Cinder uses plugins to support different backend storage types and utilizes a scheduler to determine which host to provision volumes. Swift uses a ring hashing algorithm to partition and replicate data across multiple storage nodes for high scalability and availability.
Create and use a Dockerized Aruba Cloud server - CloudConf 2017Aruba S.p.A.
Docker can be used to provision and manage virtual servers hosted on the Aruba Cloud platform. The docker-machine driver for Aruba Cloud allows users to create, start, stop, and remove Docker-enabled virtual servers using docker-machine commands. Virtual servers on Aruba Cloud include Smart and Pro options and can be created from templates like Ubuntu or CentOS in different sizes.
This is the notes of a presentation I gave to our IT dept., people who know a lot about VMs! They include a description of differences betwen a VM and a container, why would someone would want to use Docker, how it works (at 30,000 feet), some hints of what are the hub and orchestration, some Dockerfiles examples: jenkins slave, jenkins master, sinopia server, etc. and finally some new features Docker is going to propose in the future and how I intend to mix Configuration tools, such as Ansible, and Docker.
Docker-Hanoi @DKT , Presentation about Docker EcosystemVan Phuc
The document provides an overview of Docker Platform and Ecosystem. It begins with introductions and background on Docker, explaining how Docker solves the problem of dependency hell and portability issues by allowing applications to run in isolated containers that package code and dependencies. It then discusses key components of Docker including Engine, Registry, Machine, Swarm, Compose and tools like Toolbox and Cloud. The document concludes with examples of using Docker for continuous integration pipelines and microservices architectures.
This document introduces Docker and provides an overview of its key concepts and capabilities. It explains that Docker allows deploying applications into lightweight Linux containers that are isolated but share resources and run at native speeds. It describes how Docker uses namespaces and cgroups for isolation and copy-on-write storage for efficiency. The document also outlines common Docker workflows for building, testing, and deploying containerized applications both locally and in production environments at scale.
Docker - Demo on PHP Application deployment Arun prasath
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
In this demo, I will show how to build a Apache image from a Dockerfile and deploy a PHP application which is present in an external folder using custom configuration files.
V1. This document introduces Vagrant and Docker, tools for efficiently building and running virtual machines and containers. It discusses how Vagrant can be used to create standardized development environments and Docker allows building and sharing applications and their dependencies.
V2. The document then covers how to install, access, customize, and provision Vagrant virtual machines as well as how to build, run, network, and manage Docker containers and images.
V3. Advanced topics discussed include linking containers, using Docker Compose for orchestration, the Docker Hub registry, security considerations, and other Docker tools like Machine for provisioning remote hosts and Swarm for clustering.
Michael Dyrynda's talk from the September meetup of PHP Adelaide. The talk covers various options available to PHP developers when creating web applications on their local machine, in a virtual machine, or using the new hotness, Docker.
Deploying windows containers with kubernetesBen Hall
The document discusses deploying Windows containers with Kubernetes. It covers building Windows containers, deploying containers on Kubernetes, and operating Kubernetes. Specifically, it shows how to:
- Build a Windows container with SQL Server using Docker
- Deploy a .NET Core app container to Kubernetes and expose it using a load balancer
- Scale the deployment to multiple replicas and observe traffic distribution
- Perform rolling updates to deploy new versions of the application
This document discusses containerization and the Docker ecosystem. It provides a brief history of containerization technologies and an overview of Docker components like Docker Engine, Docker Hub, and Docker Inc. It also discusses developing with Docker through concepts like Dockerfiles, images, and Fig for running multi-container apps. More advanced topics covered include linking containers, volumes, Docker Machine for provisioning, and clustering with Swarm and Kubernetes.
Hybrid (Windows + Linux) Apps with Docker SwarmRuncy Oommen
The document outlines setting up a Docker Swarm cluster with hybrid Linux and Windows nodes to run multi-platform applications. Key steps include initializing the swarm manager, joining Windows and Linux worker nodes, labeling the nodes, creating an overlay network, deploying "DB" and "Web" services across nodes, scaling services, promoting a Linux node to manager, and load balancing services with Nginx.
Puppet and Nano Server provide an amazing mix when it comes to automated cloud deployments. This slide deck is from my session at PuppetCamp NYC and Boston.
This document provides an overview of Docker containers. It defines containers as lightweight sandboxed processes that share the same kernel as the host operating system. The key benefits of containers are that they have lower overhead than virtual machines and allow for the easy sharing and distribution of applications. The document discusses Docker images, containers, the client-server architecture, and basic Docker commands. It also covers use cases, the layered filesystem model, and security considerations when using containers.
This document discusses WordPress development environments. It recommends setting up separate local, staging, and live environments. The local environment is for development on one's own machine. The staging environment resembles the live site for testing purposes. The live environment is the actual public site. It provides tips for setting up servers, configuring domains and files, syncing databases, and using version control across the different environments.
How GenAI Can Improve Supplier Performance Management.pdfZycus
Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻campbellclarkson
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...kalichargn70th171
Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.
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Clinical operations professionals encounter unique challenges. Balancing regulatory requirements, tight timelines, and the need for cross-functional collaboration can create significant internal pressures. Our upcoming webinar will introduce key strategies and tools to streamline and enhance clinical development processes, helping you overcome these challenges.
What’s new in VictoriaMetrics - Q2 2024 UpdateVictoriaMetrics
These slides were presented during the virtual VictoriaMetrics User Meetup for Q2 2024.
Topics covered:
1. VictoriaMetrics development strategy
* Prioritize bug fixing over new features
* Prioritize security, usability and reliability over new features
* Provide good practices for using existing features, as many of them are overlooked or misused by users
2. New releases in Q2
3. Updates in LTS releases
Security fixes:
● SECURITY: upgrade Go builder from Go1.22.2 to Go1.22.4
● SECURITY: upgrade base docker image (Alpine)
Bugfixes:
● vmui
● vmalert
● vmagent
● vmauth
● vmbackupmanager
4. New Features
* Support SRV URLs in vmagent, vmalert, vmauth
* vmagent: aggregation and relabeling
* vmagent: Global aggregation and relabeling
* vmagent: global aggregation and relabeling
* Stream aggregation
- Add rate_sum aggregation output
- Add rate_avg aggregation output
- Reduce the number of allocated objects in heap during deduplication and aggregation up to 5 times! The change reduces the CPU usage.
* Vultr service discovery
* vmauth: backend TLS setup
5. Let's Encrypt support
All the VictoriaMetrics Enterprise components support automatic issuing of TLS certificates for public HTTPS server via Let’s Encrypt service: https://docs.victoriametrics.com/#automatic-issuing-of-tls-certificates
6. Performance optimizations
● vmagent: reduce CPU usage when sharding among remote storage systems is enabled
● vmalert: reduce CPU usage when evaluating high number of alerting and recording rules.
● vmalert: speed up retrieving rules files from object storages by skipping unchanged objects during reloading.
7. VictoriaMetrics k8s operator
● Add new status.updateStatus field to the all objects with pods. It helps to track rollout updates properly.
● Add more context to the log messages. It must greatly improve debugging process and log quality.
● Changee error handling for reconcile. Operator sends Events into kubernetes API, if any error happened during object reconcile.
See changes at https://github.com/VictoriaMetrics/operator/releases
8. Helm charts: charts/victoria-metrics-distributed
This chart sets up multiple VictoriaMetrics cluster instances on multiple Availability Zones:
● Improved reliability
● Faster read queries
● Easy maintenance
9. Other Updates
● Dashboards and alerting rules updates
● vmui interface improvements and bugfixes
● Security updates
● Add release images built from scratch image. Such images could be more
preferable for using in environments with higher security standards
● Many minor bugfixes and improvements
● See more at https://docs.victoriametrics.com/changelog/
Also check the new VictoriaLogs PlayGround https://play-vmlogs.victoriametrics.com/
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Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
Hands-on with Apache Druid: Installation & Data Ingestion StepsservicesNitor
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Strengthening Web Development with CommandBox 6: Seamless Transition and Scal...Ortus Solutions, Corp
Join us for a session exploring CommandBox 6’s smooth website transition and efficient deployment. CommandBox revolutionizes web development, simplifying tasks across Linux, Windows, and Mac platforms. Gain insights and practical tips to enhance your development workflow.
Come join us for an enlightening session where we delve into the smooth transition of current websites and the efficient deployment of new ones using CommandBox 6. CommandBox has revolutionized web development, consistently introducing user-friendly enhancements that catalyze progress in the field. During this presentation, we’ll explore CommandBox’s rich history and showcase its unmatched capabilities within the realm of ColdFusion, covering both major variations.
The journey of CommandBox has been one of continuous innovation, constantly pushing boundaries to simplify and optimize development processes. Regardless of whether you’re working on Linux, Windows, or Mac platforms, CommandBox empowers developers to streamline tasks with unparalleled ease.
In our session, we’ll illustrate the simple process of transitioning existing websites to CommandBox 6, highlighting its intuitive features and seamless integration. Moreover, we’ll unveil the potential for effortlessly deploying multiple websites, demonstrating CommandBox’s versatility and adaptability.
Join us on this journey through the evolution of web development, guided by the transformative power of CommandBox 6. Gain invaluable insights, practical tips, and firsthand experiences that will enhance your development workflow and embolden your projects.
2. VIRTUALIZATION
HOST OS (MAC, WINDOWS, LINUX)
HYPERVISOR (VBOX, VMWARE, PARALLELS)
GUEST OS GUEST OS GUEST OS
WEBSERVER WEBSERVER WEBSERVER
3. DRAWBACKS
▸ Full guest OS (lots of software you don't need)
▸ Hardware simulation
▸ CPU (Scheduling, Protection ring)
▸ Memory (Virtual memory mapping)
▸ Disk
▸ Boot time
▸ Installation time
6. DOCKER CONTAINER
▸ A running instance of an image
▸ Has its own disk
▸ Has its own network
▸ Can expose ports to the host
▸ Runs a single process
▸ Resources (CPU, Memory) directly from the host
▸ Is not persistent!
7. DOCKER IMAGE
▸ Is based on another docker image
▸ Contains a projection of the complete filesystem
▸ Can be versionized
▸ Share the same layers (binary) with their base images
▸ Easy exchangeable
10. KERNEL
WRITABLE CONTAINER APP
WEBDEVOPS/PHP-
NGINX:UBUNTU-16.04
WRITABLE CONTAINER DB
CENTOS - IMAGE
ADD MYSQL - IMAGEPort 3306
Port 80
/User/hhoechtl/workspace/customer-neos/Data/Persistence
/app/Data/Persistence
/app/Packages/Sites/Onedrop.Customer
/User/hhoechtl/workspace/customer-neos/Packages/Sites/Onedrop.Customer
11. CONFIGURE DOCKERIZED SOFTWARE
▸ Handled by environment variables
▸ Variables are declared during runtime
▸ Default variables maybe encoded in the image
▸ Overwrite configuration files via mounted files
12. NEOS
▸ ENV FLOW_CONTEXT to choose configuration
▸ ENV FLOW_PATH_TEMPORARY_BASE to change tempdir
▸ Dev context does scanning over all PHP files => I/O problem
NEOS
13. NEOS
▸ Based on Docker for OSX
▸ Docker-Sync/Unison (Rsync files into running container, needs additional
configuration in your project)
▸ Based on a VM (docker-machine or other)
▸ Dinghy (Wraps docker-machine and adds NFS, FSEvents, Proxy)
▸ Teracy-Dev (Unified solution with vagrant and gatling-rsync)
NEOS DEV I/O OSX
14. NEOS
▸ Avoid mounting all files into your PHP container
▸ Copy full project in your dev-container, only mount Site-
package
▸ Prepare a frontend building image and use that in your
environment
▸ Use mailhog to test emails
NEOS DOCKER TIPS
15. THINGS YOU SHOULD LOOK AT
▸ Dinghy HTTP-Proxy https://github.com/codekitchen/dinghy
▸ Project website https://webdevops.io/
▸ Get support on slack https://webdevops.io/slack/
▸ Teracy https://github.com/teracyhq/dev
▸ Docker Sync http://docker-sync.io/