Slides of a docker meetup presentation in Cologne (april 28,2016)
The presentation talks about how to run ceph in docker containers and how to use the ceph filesystems for volumes of docker containers in need of persistent storage.
This document summarizes John Griffith's presentation about using Docker volume plugins with OpenStack Cinder block storage. Some key points:
- Griffith developed a Cinder volume plugin for Docker to provide persistent block storage to containers. This allows using existing Cinder backends without vendor lock-in.
- He demonstrated deploying a Swarm cluster on OpenStack using docker-machine and the built-in OpenStack driver. The Cinder plugin was installed on each node to enable volume provisioning.
- As a proof of concept, Griffith deployed a Redis service with a Cinder-backed volume for persistence, and a web frontend service, demonstrating stateful applications in containers with Swarm orchestration and Cinder storage.
In this overview presented to a gathering of directors for a large network equipment manufacturer, Chris discusses Docker, DevOps workflows, considerations for containers in production, and the extended Docker technology ecosystem.
This document provides an agenda and overview of Docker Machine and Docker Swarm. It discusses how Docker Machine allows managing Docker hosts on various platforms and distributions. It then explains how Docker Swarm exposes multiple Docker engines as a single virtual engine with built-in service discovery and scheduling. The document demonstrates how to set up a Docker Swarm cluster using the hosted discovery service and covers Swarm scheduling strategies, constraints, and container affinities.
Intro to coreOS linux distributions and how it can be used to run docker based workloads in the cloud.
coreOS instances can be started in a cloudstack cloud, it makes use of cloud-init basics to
AtlasCamp 2015: The age of orchestration: From Docker basics to cluster manag...Atlassian
Nicola Paolucci, Atlassian
Containers hit the collective developer mind with great force the past two years and created a space of fervent innovation. Now work is moving towards orchestration. In this session we'll cover an overview of the container orchestration landscape, give an introduction to Docker's own tools - machine, swarm and compose - and show a (semi)live demo of how they work in practice.
This document provides a summary of a presentation about using Docker volume plugins with OpenStack Cinder block storage.
The presentation discusses:
1. The speaker introducing themselves and their background with OpenStack Cinder.
2. An overview of the Docker volume plugin API and how the speaker created a Cinder volume plugin in Golang to provide block storage to Docker containers.
3. A demonstration of deploying a sample web application on a Docker Swarm cluster using the Cinder volume plugin to persist Redis data, showing how storage can be provided to containers across nodes.
Docker Swarm allows managing Docker clusters remotely. The key components are swarm managers, swarm nodes, and a scheduler. Swarm managers oversee nodes in the cluster using Docker APIs. The scheduler uses strategies and filters to determine where to place containers on nodes. Discovery services help register and discover nodes in the cluster.
Swarm in a nutshell
• Exposes several Docker Engines as a single virtual Engine
• Serves the standard Docker API
• Extremely easy to get started
• Batteries included but swappable
Docker Online Meetup #28: Production-Ready Docker SwarmDocker, Inc.
presented by Alexandre Beslic (@abronan)
Swarm v1.0 is now ready for running your apps in production!
Swarm is the easiest way to run Docker applications at large scale on a cluster. It turns a pool of Docker Engines into a single, virtual Engine. You don’t have to worry about where to put containers, or how they’re going to talk to each other - it just handles all that for you.
We’ve spent the last few months tirelessly hardening and tuning it, and in combination with multi-host networking and the new volume system in Docker Engine 1.9, we can confidently say that it’s ready for running your apps in production. In our tests, we’ve been running Swarm on EC2 with 1,000 nodes and 30,000 containers and it keeps on scheduling containers in less than half a second. Not even breaking a sweat! Keep an eye for a blog post soon with the full details.
Read more: http://blog.docker.com/2015/11/swarm-1-0/
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
- Docker can be integrated with CloudStack in several ways, including running Docker in CloudStack virtual machine guests, packaging CloudStack as Docker containers, and using Docker orchestrators to manage containers.
- CloudStack could potentially be re-architected to run its components in Docker containers and use Docker networking for isolation, with an orchestrator like Mesos or Kubernetes managing the CloudStack application.
- There are open questions around whether CloudStack or other orchestrators should schedule virtual machines or containers as the primary compute resource in a private cloud data center.
A deep dive into deploying services and orchestrating containers with Docker’s Swarm Mode.
Swarm Mode provides built-in container orchestration capabilities, including native clustering of Docker hosts and scheduling of container workloads.
The presentation starts out with a discussion of container orchestration. Then dives into a look at how Docker Swarm handles the specifics.
runC: The little engine that could (run Docker containers) by Docker Captain ...Docker, Inc.
With the announcement of the OCI by Solomon Hykes at last summer's DockerCon, a Docker-contributed reference implementation of the OCI spec, called runC, was born. While some of you may have tried runC or have a history of poking at the OS layer integration library to Linux namespaces, cgroups and the like (known as libcontainer), many of you may not know what runC offers. In this talk Phil Estes, Docker engine maintainer who has also contributed to libcontainer and runC, will show what's possible using runC as a lightweight and fast runtime environment to experiment with lower-level features of the container runtime. Phil will introduce a conversion tool called "riddler", which can inspect and convert container configurations from Docker into the proper OCI configuration bundle for easy conversion between the two environments. He'll also demonstrate how to make custom configurations for trying out security features like user namespaces and seccomp profiles.
What's New in Docker 1.12 (June 20, 2016) by Mike Goelzer & Andrea LuzzardiMike Goelzer
Docker 1.12 introduces several new features for managing containerized applications at scale including Docker Swarm mode for native clustering and orchestration. Key features include services that allow defining and updating distributed applications, a built-in routing mesh for load balancing between nodes, and security improvements like cryptographic node identities and TLS encryption by default. The document also discusses plugins, health checks, and distributed application bundles for declaring stacks of services.
Introducing Docker Swarm - the orchestration tool by DockerRamit Surana
Docker Swarm allows you to create a cluster of Docker hosts that acts as a single virtual Docker host. It provides native clustering for Docker and allows you to create and access a pool of Docker hosts. The key components of Docker Swarm include the resource manager, scheduler, discovery service, APIs, and store. The resource manager places containers based on available resources, while the scheduler proposes container placement using binpacking or random strategies.
This document provides an overview and agenda for getting started with Docker. It introduces the main Docker tools including Kitematic, Docker Machine, Docker Compose, Docker Registry, Docker Swarm, and Docker Engine. It explains that these tools each have a specific role in the Docker platform and allow users to build, ship, and run containerized applications. The document concludes by mentioning it will provide a demo walking through installing Docker Toolbox, building and running a Node.js app on Azure, and using Docker Compose to build a Python web app.
Docker cluster with swarm, consul, registrator and consul-templateJulien Maitrehenry
This document discusses using Docker swarm, Consul, Registrator, and Consul-template together to create a clustered Docker environment with service discovery and auto-configuration capabilities. It describes how to create a swarm cluster, register nodes with Consul for service discovery, use Registrator to register Docker services with Consul, and utilize Consul-template to generate configuration files from Consul for services like load balancers.
This document provides an overview and demonstration of Clocker, an open source tool for managing Docker clouds and deploying composite applications on Docker. It discusses Clocker's components including its use of Brooklyn for application management and jclouds for provisioning. It also covers Clocker's features such as container placement strategies, networking using Weave, and roadmap items like support for Docker Swarm and improved networking.
Thinking Inside the Container: A Continuous Delivery Story by Maxfield Stewart Docker, Inc.
Riot builds a lot of software. At the start of 2015 we were looking at 3000 build jobs over a hundred different applications and dozens of teams. We were handling nearly 750 jobs per hour and our build infrastructure needed to grow rapidly to meet demand. We needed to give teams total control of the “stack” used to build their applications and we needed a solution that enabled agile delivery to our players. On top of that, we needed a scalable system that would allow a team of four engineers to support over 250.
After as few explorations, we built an integrated Docker solution using Jenkins that accepts docker images submitted as build environments by engineers around the company . Our “containerized” farm now creates over 10,000 containers a week and handles nearly 1000 jobs at a rate of about 100 jobs an hour.
In this occasionally technical talk, we’ll explore the decisions that led Riot to consider Docker, the evolutionary stages of our build infrastructure, and how the open source and in-house software we combined to achieve our goals at scale. You’ll come away with some best practices, plenty of lessons learned, and insight into some of the more unique aspects of our system (like automated testing of submitted build environments, or testing node.js apps in containers with Chromium and xvfb).
This document discusses using continuous integration with Docker and Ansible. It describes building and deploying microservices across multiple technologies using Docker containers managed by Ansible playbooks. The process involves cloning repositories, building Docker images, testing, pushing images to a private Docker registry, and deploying containers to environments with Ansible. Benefits include easily managing container environments, portability across machines, and isolated workspaces for each service. Challenges addressed are timeouts, freezes, and long build times.
Docker at Shopify: From This-Looks-Fun to Production by Simon Eskildsen (Shop...Docker, Inc.
Since July 2014 Shopify's been serving thousands of requests per second of production web traffic from Docker containers. This was an 8 month effort, with multiple pivots of direction from the team—and we're only getting started. This talk covers the lessons learned through the trial and error of an in-flight architecture redesign, spanning hundreds of hosts, as well as the technical vision of the future of our platform.
Dockerizing OpenStack for High AvailabilityDaniel Krook
This document discusses Dockerizing OpenStack high availability services. It begins by outlining existing challenges with OpenStack HA including complex configuration, scaling complexity, and lack of automation/visibility. It then discusses how Docker can help by allowing applications and dependencies to be packaged in lightweight containers, improving scaling, density, flexibility and reducing overhead. The document provides an example of running OpenStack services like Nova API in Docker containers for improved HA and manageability. It discusses sharing images in a private Docker registry and orchestrating container management.
Catching up with what has happened with logging in Docker since late 2014 all the way up to the recently released Docker 0.10. Also, presenting my view on a comprehensive approach to monitoring Docker using the API to get events, logs, stats with a little bit of self promotion in pointing out that we have recently released an implementation of comprehensive monitoring as part of a Sumo Logic collector source.
This document discusses Microservices and Docker Swarm. It begins by introducing the presenter and their background. It then defines what a microservice is and introduces Docker. Key concepts about Docker Swarm are explained such as swarm features, service discovery without an external database, and the swarm concept of managers, workers, services and tasks. It demonstrates how to build a swarm cluster and add nodes, and discusses security, routing mesh, scaling, reverse proxy, rolling updates and secrets. Finally it briefly mentions logging, metrics and dashboard tools to monitor Docker systems.
DockerCon SF 2015: Orchestration for Devs (machine + compose)Docker, Inc.
This document discusses Docker Machine and Docker Compose. Docker Machine allows provisioning and management of Docker hosts on various cloud providers and virtualization systems. Docker Compose defines and runs multi-container applications using a YAML file. The latest versions of both tools feature improved performance, stability, and configuration options as well as experimental features like smart container recreation in Compose. Demostrations of Docker Machine and Compose are provided.
AtlasCamp 2015: How to deliver radical architectural change without the custo...Atlassian
1. Atlassian delivered radical architectural changes by migrating 60,000 virtual Linux containers and 120,000 application instances to a microservices architecture on their platform without major incidents.
2. They achieved this through careful planning including gradual rollouts, shadowing new services, and making data migrations idempotent.
3. End-to-end ownership of the changes by dedicated teams also helped ensure flexibility and minimized incidents during the migration.
Micro services infrastructure with AWS and AnsibleBamdad Dashtban
The document summarizes the process of migrating a legacy monolithic codebase to a microservices architecture on AWS using Ansible for configuration management and continuous delivery. Some key points:
- The legacy codebase had issues like slow performance, high maintenance costs, and difficulty developing new features.
- A strangler pattern was used to gradually introduce microservices in front of the existing monolith. Teams were reorganized around microservices.
- AWS services like EC2, ELB, Auto Scaling were used to host the microservices. Ansible provisioned and deployed the services.
- Challenges included managing complexity, service discovery, resizing load balancers, deployment time, and keeping Ansible configurations up to
This document provides an introduction to Docker Swarm, which allows multiple Docker hosts to be clustered together into a single virtual Docker host. It discusses key components of Docker Swarm including managers, nodes, services, discovery services, and scheduling. It also provides steps for creating a Swarm cluster, deploying services, and considering high availability and security aspects.
A New Centralized Volume Storage Solution for Docker and Container Cloud by W...Docker, Inc.
Elara is a Docker volume plugin that provides a distributed volume management tool and connection between containers and shared storage providers. It supports advanced volume operations like snapshots, backups, migration, IOPS, disk quotas and extending volumes. Elara uses a key-value storage as a database to store node status remotely. It focuses on shared storage and supports multiple backend drivers like NFS, Cinder and filesystem/block devices.
Na quarta edição do evento Meritt CC, Aishameriane <[email protected]> incentivou todo mundo a cuidar melhor do dinheiro.
A palestra, que extrapola os benefícios empresarias e ajuda cada um no seu dia-a-dia, trouxe tópicos como os problemas do cartão de crédito, cheque especial, diversas formas de investimento e mais.
Talvez com estas dicas os meritts tenham um natal melhor esse ano.
Docker Online Meetup #28: Production-Ready Docker SwarmDocker, Inc.
presented by Alexandre Beslic (@abronan)
Swarm v1.0 is now ready for running your apps in production!
Swarm is the easiest way to run Docker applications at large scale on a cluster. It turns a pool of Docker Engines into a single, virtual Engine. You don’t have to worry about where to put containers, or how they’re going to talk to each other - it just handles all that for you.
We’ve spent the last few months tirelessly hardening and tuning it, and in combination with multi-host networking and the new volume system in Docker Engine 1.9, we can confidently say that it’s ready for running your apps in production. In our tests, we’ve been running Swarm on EC2 with 1,000 nodes and 30,000 containers and it keeps on scheduling containers in less than half a second. Not even breaking a sweat! Keep an eye for a blog post soon with the full details.
Read more: http://blog.docker.com/2015/11/swarm-1-0/
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
- Docker can be integrated with CloudStack in several ways, including running Docker in CloudStack virtual machine guests, packaging CloudStack as Docker containers, and using Docker orchestrators to manage containers.
- CloudStack could potentially be re-architected to run its components in Docker containers and use Docker networking for isolation, with an orchestrator like Mesos or Kubernetes managing the CloudStack application.
- There are open questions around whether CloudStack or other orchestrators should schedule virtual machines or containers as the primary compute resource in a private cloud data center.
A deep dive into deploying services and orchestrating containers with Docker’s Swarm Mode.
Swarm Mode provides built-in container orchestration capabilities, including native clustering of Docker hosts and scheduling of container workloads.
The presentation starts out with a discussion of container orchestration. Then dives into a look at how Docker Swarm handles the specifics.
runC: The little engine that could (run Docker containers) by Docker Captain ...Docker, Inc.
With the announcement of the OCI by Solomon Hykes at last summer's DockerCon, a Docker-contributed reference implementation of the OCI spec, called runC, was born. While some of you may have tried runC or have a history of poking at the OS layer integration library to Linux namespaces, cgroups and the like (known as libcontainer), many of you may not know what runC offers. In this talk Phil Estes, Docker engine maintainer who has also contributed to libcontainer and runC, will show what's possible using runC as a lightweight and fast runtime environment to experiment with lower-level features of the container runtime. Phil will introduce a conversion tool called "riddler", which can inspect and convert container configurations from Docker into the proper OCI configuration bundle for easy conversion between the two environments. He'll also demonstrate how to make custom configurations for trying out security features like user namespaces and seccomp profiles.
What's New in Docker 1.12 (June 20, 2016) by Mike Goelzer & Andrea LuzzardiMike Goelzer
Docker 1.12 introduces several new features for managing containerized applications at scale including Docker Swarm mode for native clustering and orchestration. Key features include services that allow defining and updating distributed applications, a built-in routing mesh for load balancing between nodes, and security improvements like cryptographic node identities and TLS encryption by default. The document also discusses plugins, health checks, and distributed application bundles for declaring stacks of services.
Introducing Docker Swarm - the orchestration tool by DockerRamit Surana
Docker Swarm allows you to create a cluster of Docker hosts that acts as a single virtual Docker host. It provides native clustering for Docker and allows you to create and access a pool of Docker hosts. The key components of Docker Swarm include the resource manager, scheduler, discovery service, APIs, and store. The resource manager places containers based on available resources, while the scheduler proposes container placement using binpacking or random strategies.
This document provides an overview and agenda for getting started with Docker. It introduces the main Docker tools including Kitematic, Docker Machine, Docker Compose, Docker Registry, Docker Swarm, and Docker Engine. It explains that these tools each have a specific role in the Docker platform and allow users to build, ship, and run containerized applications. The document concludes by mentioning it will provide a demo walking through installing Docker Toolbox, building and running a Node.js app on Azure, and using Docker Compose to build a Python web app.
Docker cluster with swarm, consul, registrator and consul-templateJulien Maitrehenry
This document discusses using Docker swarm, Consul, Registrator, and Consul-template together to create a clustered Docker environment with service discovery and auto-configuration capabilities. It describes how to create a swarm cluster, register nodes with Consul for service discovery, use Registrator to register Docker services with Consul, and utilize Consul-template to generate configuration files from Consul for services like load balancers.
This document provides an overview and demonstration of Clocker, an open source tool for managing Docker clouds and deploying composite applications on Docker. It discusses Clocker's components including its use of Brooklyn for application management and jclouds for provisioning. It also covers Clocker's features such as container placement strategies, networking using Weave, and roadmap items like support for Docker Swarm and improved networking.
Thinking Inside the Container: A Continuous Delivery Story by Maxfield Stewart Docker, Inc.
Riot builds a lot of software. At the start of 2015 we were looking at 3000 build jobs over a hundred different applications and dozens of teams. We were handling nearly 750 jobs per hour and our build infrastructure needed to grow rapidly to meet demand. We needed to give teams total control of the “stack” used to build their applications and we needed a solution that enabled agile delivery to our players. On top of that, we needed a scalable system that would allow a team of four engineers to support over 250.
After as few explorations, we built an integrated Docker solution using Jenkins that accepts docker images submitted as build environments by engineers around the company . Our “containerized” farm now creates over 10,000 containers a week and handles nearly 1000 jobs at a rate of about 100 jobs an hour.
In this occasionally technical talk, we’ll explore the decisions that led Riot to consider Docker, the evolutionary stages of our build infrastructure, and how the open source and in-house software we combined to achieve our goals at scale. You’ll come away with some best practices, plenty of lessons learned, and insight into some of the more unique aspects of our system (like automated testing of submitted build environments, or testing node.js apps in containers with Chromium and xvfb).
This document discusses using continuous integration with Docker and Ansible. It describes building and deploying microservices across multiple technologies using Docker containers managed by Ansible playbooks. The process involves cloning repositories, building Docker images, testing, pushing images to a private Docker registry, and deploying containers to environments with Ansible. Benefits include easily managing container environments, portability across machines, and isolated workspaces for each service. Challenges addressed are timeouts, freezes, and long build times.
Docker at Shopify: From This-Looks-Fun to Production by Simon Eskildsen (Shop...Docker, Inc.
Since July 2014 Shopify's been serving thousands of requests per second of production web traffic from Docker containers. This was an 8 month effort, with multiple pivots of direction from the team—and we're only getting started. This talk covers the lessons learned through the trial and error of an in-flight architecture redesign, spanning hundreds of hosts, as well as the technical vision of the future of our platform.
Dockerizing OpenStack for High AvailabilityDaniel Krook
This document discusses Dockerizing OpenStack high availability services. It begins by outlining existing challenges with OpenStack HA including complex configuration, scaling complexity, and lack of automation/visibility. It then discusses how Docker can help by allowing applications and dependencies to be packaged in lightweight containers, improving scaling, density, flexibility and reducing overhead. The document provides an example of running OpenStack services like Nova API in Docker containers for improved HA and manageability. It discusses sharing images in a private Docker registry and orchestrating container management.
Catching up with what has happened with logging in Docker since late 2014 all the way up to the recently released Docker 0.10. Also, presenting my view on a comprehensive approach to monitoring Docker using the API to get events, logs, stats with a little bit of self promotion in pointing out that we have recently released an implementation of comprehensive monitoring as part of a Sumo Logic collector source.
This document discusses Microservices and Docker Swarm. It begins by introducing the presenter and their background. It then defines what a microservice is and introduces Docker. Key concepts about Docker Swarm are explained such as swarm features, service discovery without an external database, and the swarm concept of managers, workers, services and tasks. It demonstrates how to build a swarm cluster and add nodes, and discusses security, routing mesh, scaling, reverse proxy, rolling updates and secrets. Finally it briefly mentions logging, metrics and dashboard tools to monitor Docker systems.
DockerCon SF 2015: Orchestration for Devs (machine + compose)Docker, Inc.
This document discusses Docker Machine and Docker Compose. Docker Machine allows provisioning and management of Docker hosts on various cloud providers and virtualization systems. Docker Compose defines and runs multi-container applications using a YAML file. The latest versions of both tools feature improved performance, stability, and configuration options as well as experimental features like smart container recreation in Compose. Demostrations of Docker Machine and Compose are provided.
AtlasCamp 2015: How to deliver radical architectural change without the custo...Atlassian
1. Atlassian delivered radical architectural changes by migrating 60,000 virtual Linux containers and 120,000 application instances to a microservices architecture on their platform without major incidents.
2. They achieved this through careful planning including gradual rollouts, shadowing new services, and making data migrations idempotent.
3. End-to-end ownership of the changes by dedicated teams also helped ensure flexibility and minimized incidents during the migration.
Micro services infrastructure with AWS and AnsibleBamdad Dashtban
The document summarizes the process of migrating a legacy monolithic codebase to a microservices architecture on AWS using Ansible for configuration management and continuous delivery. Some key points:
- The legacy codebase had issues like slow performance, high maintenance costs, and difficulty developing new features.
- A strangler pattern was used to gradually introduce microservices in front of the existing monolith. Teams were reorganized around microservices.
- AWS services like EC2, ELB, Auto Scaling were used to host the microservices. Ansible provisioned and deployed the services.
- Challenges included managing complexity, service discovery, resizing load balancers, deployment time, and keeping Ansible configurations up to
This document provides an introduction to Docker Swarm, which allows multiple Docker hosts to be clustered together into a single virtual Docker host. It discusses key components of Docker Swarm including managers, nodes, services, discovery services, and scheduling. It also provides steps for creating a Swarm cluster, deploying services, and considering high availability and security aspects.
A New Centralized Volume Storage Solution for Docker and Container Cloud by W...Docker, Inc.
Elara is a Docker volume plugin that provides a distributed volume management tool and connection between containers and shared storage providers. It supports advanced volume operations like snapshots, backups, migration, IOPS, disk quotas and extending volumes. Elara uses a key-value storage as a database to store node status remotely. It focuses on shared storage and supports multiple backend drivers like NFS, Cinder and filesystem/block devices.
Na quarta edição do evento Meritt CC, Aishameriane <[email protected]> incentivou todo mundo a cuidar melhor do dinheiro.
A palestra, que extrapola os benefícios empresarias e ajuda cada um no seu dia-a-dia, trouxe tópicos como os problemas do cartão de crédito, cheque especial, diversas formas de investimento e mais.
Talvez com estas dicas os meritts tenham um natal melhor esse ano.
This document explores storage options for Docker containers and summarizes several options including Docker storage drivers, data volumes, container runtime storage using FUSE mounts, and external storage solutions like Rsync, lsyncd, BitTorrent Sync, GlusterFS, and Flocker. It describes setting up a demo application using some of these options and calls out advantages and disadvantages of each approach.
Architecture of the Upcoming OrangeFS v3 Distributed Parallel File SystemAll Things Open
OrangeFS is a parallel file system that provides distributed, shared-nothing metadata and data storage across multiple servers. It allows for high performance parallel I/O and a unified namespace. The document discusses OrangeFS's architecture, performance advantages, and areas for future improvement including enhanced availability, security, integrity checking, and administration. Upcoming versions will feature distributed primary object replication, geographic file replication, capability-based security, parallel background jobs for maintenance and verification, and improved metadata and scaling performance.
This talk covers why Apache Zookeeper is a good fit for coordinating processes in a distributed environment, prior Python attempts at a client and the current state of the art Python client library, how unifying development efforts to merge several Python client libraries has paid off, features available to Python processes, and how to gracefully handle failures in a set of distributed processes.
This document discusses Docker volumes. It provides an overview of the Docker volume command introduced in Docker 1.9 for managing volumes. Examples are given for creating, listing, inspecting, and removing volumes. It also discusses using volumes when running containers, deploying with Docker Compose, custom volume drivers, and volume plugins.
(1) O documento discute a importância de fazer um orçamento para saber exatamente quanto se ganha e gasta por mês; (2) Ele fornece exemplos de gastos com moradia, estudos, saúde, alimentação, vestuário e transporte que devem ser considerados no orçamento; (3) Recomenda-se gastar 70% da renda com despesas pessoais como casa, 20% com dívidas e o restante poupar ou investir.
Discovering Docker Volume Plugins and Apps using VirtualBoxClinton Kitson
There are right and wrong ways to use containers with persistent applications. Lucky for you, doing it the right way is much easier nowadays with Docker Volume Plugins. This talk will focus on doing some basic education including mostly live demos to show how you can take advantage of these new capabilities for expanding how you leverage containers.
The document outlines the steps for planning an OpenStack proof-of-concept (PoC), including assembling a team, defining the scope and use case, selecting a distribution and hardware, developing test cases, executing the PoC, and planning the transition from PoC to production. Key steps involve identifying workloads, developing a reference architecture, evaluating distributions, and testing functionality and high availability before deployment.
This presentation talks about how to use GlusterFS containers in Docker. If you need more details please refer http://www.humblec.com/building-glusterfs-in-a-docker-container/
Demo Video # https://youtu.be/4Xf8pmDEZYw
There are many ways to run high availability with PostgreSQL. Here, we present a template for you to create your own customized, high-availability solution using Python and for maximum accessibility, a distributed configuration store like ZooKeeper or etcd.
Keeping OpenStack storage trendy with Ceph and containersSage Weil
The conventional approach to deploying applications on OpenStack uses virtual machines (usually KVM) backed by block devices (usually Ceph RBD). As interest increases in container-based application deployment models like Docker, it is worth looking at what alternatives exist for combining compute and storage (both shared and non-shared). Mapping RBD block devices directly to host kernels trades isolation for performance and may be appropriate for many private clouds without significant changes to the infrastructure. More importantly, moving away from a virtualization allows for non-block interfaces and a range of alternative models based on file or object.
Attendees will leave this talk with a basic understanding of the storage components and services available to both virtual machines and Linux containers, a view of a several ways they can be combined and the performance, reliability, and security trade-offs associated with those possibilities, and several proposals for how the relevant OpenStack projects (Nova, Cinder, Manila) can work together to make it easy.
My SQL and Ceph: Head-to-Head Performance LabRed_Hat_Storage
In this April 2016 session, Red Hat's Brent Compton and Kyle Bader compared the performance of MySQL on public and private clouds with a head-to-head look at (a) MySQL on Amazon AWS EBS, (b) MySQL on Amazon AWS EBS Provisioned IOPS, (c) MySQL on an OpenStack/Ceph private cloud (SuperMicro HDD-based Ceph storage), (d) MySQL on an OpenStack/Ceph private cloud (SuperMicro all-flash Ceph storage), and (e) MySQL on a single bare metal SuperMicro server (baseline).
O documento discute quatro níveis de resiliência que as pessoas e sociedades podem atingir após enfrentarem adversidades: enfrentar, superar, restaurar e prosperar. Também descreve os padrões de resposta coletiva e individual comuns a sociedades como Timor-Leste após períodos de conflito, e lista recursos psicológicos comuns em pessoas resilientes.
Bryan McLellan discusses moving from VMware virtualization to KVM/libvirt virtualization. He found that using tools like ubuntu-vm-builder, Puppet, and libvirt provided a more homogeneous, automated, and well-documented virtual infrastructure compared to his previous manual VMware configuration. While early versions of KVM/libvirt lacked some enterprise features, the technologies continue to improve and provide capabilities like live migration and hotplugging.
The document provides instructions on Docker practice including prerequisites, basic Docker commands, running containers from images, committing container changes to new images, logging into Docker Hub and pushing images.
It begins with prerequisites of having Ubuntu 18.04 or higher and installing the latest Docker engine and Docker compose. It then explains that Docker runs processes in isolated containers and uses layered images.
The document demonstrates basic commands like docker version, docker images, docker pull, docker search, docker run, docker ps, docker stop, docker rm and docker rmi. It also shows how to commit container changes to a new image with docker commit, tag and push images to Docker Hub. Other topics covered include docker exec, docker save/load, docker
This talk will focus on a brief overview of Kubernetes, with a brief demo, and then more of an in-depth focus on issues we've faced moving PHP projects into Docker and Kubernetes like signal propagation, init systems, and logging.
Talk from Cape Town PHP meetup on Feb. 7, 2016:
https://www.meetup.com/Cape-Town-PHP-Group/events/237226310/
Code: https://github.com/zoidbergwill/kubernetes-php-examples
Slides as markdown: http://www.zoidbergwill.com/presentations/2017/kubernetes-php/index.md
This document discusses using Docker containers and Chef configuration management together. It begins by showing how to build Docker images that include Chef using Dockerfiles. It then explains how Chef can be used to configure containers during the image build process, essentially "baking" the configuration into the images. This allows immutable infrastructure where configured containers can be started without needing to rerun Chef provisioning. The document also discusses using multi-stage Dockerfiles and Chef runs to fully configure images. It briefly covers tools for deploying Docker containers, such as using Chef on EC2 instances or with OpenStack Heat orchestration.
This document provides an agenda and overview for a hands-on lab on using DPDK in containers. It introduces Linux containers and how they use fewer system resources than VMs. It discusses how containers still use the kernel network stack, which is not ideal for SDN/NFV usages, and how DPDK can be used in containers to address this. The hands-on lab section guides users through building DPDK and Open vSwitch, configuring them to work with containers, and running packet generation and forwarding using testpmd and pktgen Docker containers connected via Open vSwitch.
This document discusses Docker and containers. It begins with an introduction to Docker and the container model. It explains that containers provide isolation using namespaces and cgroups. Containers deploy applications efficiently by sharing resources and deploying anywhere due to standardization. The document then covers building images with Dockerfiles for reproducible builds. It concludes by discussing Docker's future including networking, metrics, logging, plugins and orchestration.
The document discusses building a lightweight Docker container for Perl by starting with a minimal base image like BusyBox, copying just the Perl installation and necessary shared libraries into the container, and setting Perl as the default command to avoid including unnecessary dependencies and tools from a full Linux distribution. It provides examples of Dockerfiles to build optimized Perl containers from Gentoo and by directly importing a tarball for minimal size and easy distribution.
A talk about methods and tools to automate deployment of Plone sites. With a few steps an environment is prepared for a new Plone site on a test, staging or production layer. These steps take a couple of minutes, doing this manually took around one hour.
We use Puppet to prepare our hosts/clusters to get an environment to deploy to. Fabric is used to deploy Plone on this environment and to extend the webserver configuration under the hood. These complementary techniques provide a complete solution to get a working Plone site, including rollbacks.
Presentation by: Pawel Lewicki and Kim Chee Leong
This document provides instructions for setting up a hack environment using Docker containers. It discusses pros and cons of different options like using a real server, cloud services, or virtual machines. Docker is recommended for its ease of use, templates, and ability to run on multiple platforms. Example Dockerfiles and Docker Compose files are provided to set up environments like IIS, Nginx, LEMP stacks, and vulnerable apps. Specific vulnerabilities like Heartbleed and DHClient RCE are demonstrated using Docker images. Finally, Docker images for security tools like Kali Linux and REMnux are mentioned.
Puppet Camp Chicago 2014: Docker and Puppet: 1+1=3 (Intermediate)Puppet
This document discusses Docker and Puppet and how they can be used together. It describes how Puppet can be used to install and configure Docker on a system and then how Dockerfiles can be used to build container images. However, it notes that using Puppet to build container images directly is not recommended and describes alternatives like using Puppet during the build process to configure "golden images" and then deploying them. It suggests approaches like running services externally to containers and using data containers to optimize container usage.
Running Docker in Development & Production (DevSum 2015)Ben Hall
This document provides an overview of Docker containers and how to use Docker for development and production environments. It discusses Docker concepts like images, containers, and Dockerfiles. It also demonstrates how to build images, run containers, link containers, manage ports, and use Docker Compose. The document shows how Docker can be used to develop applications using technologies like ASP.NET, Node.js, and Go. It also covers testing, deploying to production, and optimizing containers for production.
This is a journey of a developer who goes from docker-compose to kompose to opencompose. Which tool can help her best to move to Kubernetes? Find out in the slides. Also there is a demo in the slides which shows how these tools can help.
This talk was presented at DevConf India on May 12th 2017. DevConf India was a parallel track with rootconf 2017. Visit devconf.in to know more.
JDO 2019: Tips and Tricks from Docker Captain - Łukasz LachPROIDEA
The document provides tips and tricks for using Docker including:
1) Installing Docker on Linux in an easy way allowing choice of channel and version.
2) Setting up a local Docker Hub mirror for caching and revalidating images.
3) Using docker inspect to find containers that exited with non-zero codes or show commands for running containers.
4) Organizing docker-compose files with extensions, environment variables, anchors and aliases for well structured services.
This document provides an overview of Docker commands and architecture including hub/image commands, container commands, and references. It discusses pulling and running the tutum/mongodb image exposing ports 27017 and 28017 and setting environment variables for username, password, and database name. Kitematic is also mentioned.
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.
Running Docker in Development & Production (#ndcoslo 2015)Ben Hall
The document discusses running Docker in development and production. It covers:
- Using Docker containers to run individual services like Elasticsearch or web applications
- Creating Dockerfiles to build custom images
- Linking containers together and using environment variables for service discovery
- Scaling with Docker Compose, load balancing with Nginx, and service discovery with Consul
- Clustering containers together using Docker Swarm for high availability
Vagrant, Ansible, and OpenStack on your laptopLorin Hochstein
The document discusses using Ansible and Vagrant together to easily test and deploy OpenStack. Ansible allows writing idempotent infrastructure scripts, while Vagrant allows testing them by booting reproducible virtual machines. The document provides an example of using Ansible plays to install NTP and using Vagrant to define VMs for an OpenStack controller and compute node.
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Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
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Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
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This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
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AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
Key improvements and features of Cinema 4D 2025 include:
Procedural Modeling: New tools and workflows for creating models procedurally, including fabric weave and constellation generators.
Procedural Animation: Field Driver tag for procedural animation.
Simulation Enhancements: Improved particle, Pyro, and rigid body simulations.
Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
Particle Node Modifier: New particle node modifier for creating particle scenes.
Learning Panel: Intuitive learning panel for new users.
Redshift Integration: Maxon now includes access to the full power of Redshift rendering for all new subscriptions.
In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
Exploring Wayland: A Modern Display Server for the FutureICS
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Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Wanting distributed volumes - Experiences with ceph-docker
1. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
Experiences with ceph-docker
Wanting distributed volumes
2. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
The problem 1/2
MC MC MC
Machine 1 Machine 2 Machine 3
3. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
The problem 2/2
HD MC HD MC HD MC
Machine 1 Machine 2 Machine 3
Where to store state?
4. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
Requirements
● No provider specifics
– E.g. no AWS EBS
● Use available resources
● Be resilient against failures
● Everything in a container
5. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
Solutions
● CEPH
● Proven in production
● Automatic balancing
● Daunting to setup
but wait, ceph-docker
● GlusterFS
● Proven in production
● Manual setup
11. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
Mounting volumes
● Mount CEPH FS once/host
– Single point of failure
– Bad for upgrades
● Mount CEPH FS /
container
– May use more
resources
– Needs recent docker
● Use docker volume plugin
– Plugin process cannot
be run in container
12. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
Mount CEPH FS / container
● Uses data container pattern
docker run -it –-name=mydata --net=host --privileged
-v /media/ceph:/data:shared
-v /usr/bin/etcdctl:/usr/bin/etcdctl
pulcy/ceph-volume:latest
docker run -it -–volumes-from=mydata alpine ls -al /data
13. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
The result
● CEPH object storage running on all machines
– Using available resources
● Data still available if (some) machines goes down
● Containers get the persistent state they need
– on whatever machines they're scheduled on
Links
● github.com/ceph/ceph-docker
● github.com/pulcy/ceph-volume
● github.com/pulcy/j2
14. CEPH-docker by Ewout Prangsma github:ewoutp / twitter:ewoutp
Questions
● Is it production ready?
– time will tell....