Overview sobre Docker & Containers no sistema Operacional Linux.
Plaestra ministrada no Tchelinux - Ed. Porto Alegre em 06/12/2014 na Faculdade Senac - Campus I
Docker is an open source containerization platform that allows developers to package applications and dependencies into standardized containers. Containers allow applications to be run consistently across different computing environments using operating system-level virtualization. Docker makes it easier to build, deploy, and manage containers using simple commands. It provides benefits like application isolation, cost-effectiveness, scalability, disposability, and improved developer productivity compared to traditional virtual machines. Docker images contain the executable application code and dependencies needed to run as containers. The Dockerfile automates the creation of Docker images from a base image. Running a Docker image creates a container instance where the application code is executed.
Docker 101 for "The Core of Microservice Architecture"enyert
Docker is a tool that allows applications to run in isolated containers to make them lightweight, portable and able to run anywhere. It uses containers as a method of operating system-level virtualization which isolate Linux systems from each other on a single host. The Docker architecture includes images, containers, the Docker engine and a registry. Containers are ephemeral and any persistent data needs to be mapped to external volumes. A hands-on demo is provided to illustrate Docker's use in launching microservices architectures with containers isolating individual services that can then be independently scaled.
Docker allows you to package, distribute and run a piece of software, including everything it needs to run: code, runtime, tools, libraries – anything you can install on a server. This guarantees that it will run and behave the same on any environment.
We will be showcasing the following Docker tools and features: Docker Engine, Docker Registry, Docker Compose, Docker Machine, Docker Swarm, Docker Networking
Next to introducing you to these tools, Tom Verelst will also be covering the following topics: Containerisation, Immutable Infrastructure, Docker Orchestration, Continuous Integration with Docker
Presentation sources: https://github.com/tomverelst/docker-presentation
Youtube video: https://www.youtube.com/watch?v=heBI7oQvHZU
This document discusses containers, virtual machines, and Docker. It provides an overview of containers and how they differ from virtual machines by sharing the host operating system kernel and making more efficient use of system resources. The document then covers Docker specifically, explaining that Docker uses containerization to package applications and dependencies into standardized units called containers. It also provides examples of Docker commands to build custom images and run containers.
Docker is a containerization platform that allows applications and their dependencies to be packaged into standardized units called containers that can run on any infrastructure regardless of the underlying operating system. The key components of Docker include images which serve as templates for building containers, a daemon that manages the containers, a client to interact with the daemon, and a registry to store and distribute images. Containers offer isolation, portability and scalability compared to virtual machines.
This presentation looks deep into the concept of containerization. What is containerization, how is it different from VMs, how containerization is achieved using Linux containers (LXC), control groups (cgroups) and copy on write file systems and current trends in containerization/docker are described.
The next Docker Global Hack Day will run from Wednesday, September 16th through Monday, September 21st! The grand prize for each member of the winning hack team is a complimentary pass to attend DockerCon EU 2015 along with hotel accommodations during the conference and the opportunity to present their winning hack during the conference.
As a team of 1-3 hackers, you will hack on a project using Docker or its infrastructure plumbing (runC, Notary) as a central piece. You will have exactly from 4pm PDT on Wednesday, September 16th to 9am PDT on Monday, September 21st to complete this project. This window includes the time to create all materials needed for your submission.
Everyone will submit projects in one of three categories listed below:
Docker Plugins
Docker Plumbing – runC, Notary, etc.
Docker Freestyle – must use features from the latest Docker releases including Engine and other Docker OSS projects
Container-based technology has experienced a recent revival and is becoming adopted at an explosive rate. For those that are new to the conversation, containers offer a way to virtualize an operating system. This virtualization isolates processes, providing limited visibility and resource utilization to each, such that the processes appear to be running on separate machines. In short, allowing more applications to run on a single machine. Here is a brief timeline of key moments in container history.
Docker is an open source containerization platform that allows developers to package applications and dependencies into standardized containers. Containers allow applications to be run consistently across different computing environments using operating system-level virtualization. Docker makes it easier to build, deploy, and manage containers using simple commands. It provides benefits like application isolation, cost-effectiveness, scalability, disposability, and improved developer productivity compared to traditional virtual machines. Docker images contain the executable application code and dependencies needed to run as containers. The Dockerfile automates the creation of Docker images from a base image. Running a Docker image creates a container instance where the application code is executed.
Docker 101 for "The Core of Microservice Architecture"enyert
Docker is a tool that allows applications to run in isolated containers to make them lightweight, portable and able to run anywhere. It uses containers as a method of operating system-level virtualization which isolate Linux systems from each other on a single host. The Docker architecture includes images, containers, the Docker engine and a registry. Containers are ephemeral and any persistent data needs to be mapped to external volumes. A hands-on demo is provided to illustrate Docker's use in launching microservices architectures with containers isolating individual services that can then be independently scaled.
Docker allows you to package, distribute and run a piece of software, including everything it needs to run: code, runtime, tools, libraries – anything you can install on a server. This guarantees that it will run and behave the same on any environment.
We will be showcasing the following Docker tools and features: Docker Engine, Docker Registry, Docker Compose, Docker Machine, Docker Swarm, Docker Networking
Next to introducing you to these tools, Tom Verelst will also be covering the following topics: Containerisation, Immutable Infrastructure, Docker Orchestration, Continuous Integration with Docker
Presentation sources: https://github.com/tomverelst/docker-presentation
Youtube video: https://www.youtube.com/watch?v=heBI7oQvHZU
This document discusses containers, virtual machines, and Docker. It provides an overview of containers and how they differ from virtual machines by sharing the host operating system kernel and making more efficient use of system resources. The document then covers Docker specifically, explaining that Docker uses containerization to package applications and dependencies into standardized units called containers. It also provides examples of Docker commands to build custom images and run containers.
Docker is a containerization platform that allows applications and their dependencies to be packaged into standardized units called containers that can run on any infrastructure regardless of the underlying operating system. The key components of Docker include images which serve as templates for building containers, a daemon that manages the containers, a client to interact with the daemon, and a registry to store and distribute images. Containers offer isolation, portability and scalability compared to virtual machines.
This presentation looks deep into the concept of containerization. What is containerization, how is it different from VMs, how containerization is achieved using Linux containers (LXC), control groups (cgroups) and copy on write file systems and current trends in containerization/docker are described.
The next Docker Global Hack Day will run from Wednesday, September 16th through Monday, September 21st! The grand prize for each member of the winning hack team is a complimentary pass to attend DockerCon EU 2015 along with hotel accommodations during the conference and the opportunity to present their winning hack during the conference.
As a team of 1-3 hackers, you will hack on a project using Docker or its infrastructure plumbing (runC, Notary) as a central piece. You will have exactly from 4pm PDT on Wednesday, September 16th to 9am PDT on Monday, September 21st to complete this project. This window includes the time to create all materials needed for your submission.
Everyone will submit projects in one of three categories listed below:
Docker Plugins
Docker Plumbing – runC, Notary, etc.
Docker Freestyle – must use features from the latest Docker releases including Engine and other Docker OSS projects
Container-based technology has experienced a recent revival and is becoming adopted at an explosive rate. For those that are new to the conversation, containers offer a way to virtualize an operating system. This virtualization isolates processes, providing limited visibility and resource utilization to each, such that the processes appear to be running on separate machines. In short, allowing more applications to run on a single machine. Here is a brief timeline of key moments in container history.
This document discusses how Docker can be used to deploy Mule instances by creating Docker containers. It provides steps to create a Dockerfile to build a Docker image containing Mule ESB. The image installs Java, downloads Mule, extracts and configures it. Layers are created for each step and flattened into a single filesystem. The document suggests improvements like parametrized images and integrating Docker builds into continuous integration.
The Axigen Docker image is provided for users to be able to run an Axigen based mail service within a Docker container.
The following services are enabled and mapped as 'exposed' TCP ports in Docker:
§ SMTP (25 - non secure, 465 - TLS)
§ IMAP (143 - non secure, 993 - TLS)
§ POP3 (110 - non secure, 995 - TLS)
§ WEBMAIL (80 - non secure, 443 - TLS)
§ WEBADMIN (9000 - non secure, 9443 - TLS)
CLI (7000 - non secure
Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment. This provides many of the benefits of loading an application onto a virtual machine, as the application can be run on any suitable physical machine without any worries about dependencies.
Docker is an open-source tool that allows developers to package applications into containers to ensure consistency between development and production. It provides standardized packaging that isolates applications from each other and shares the same operating system kernel. Docker benefits developers by allowing applications to be built once and run anywhere without dependencies, and benefits DevOps by increasing efficiency and speed of the development lifecycle. The document then discusses who uses Docker, how to install it, the Docker engine architecture, images, registries, commands, and demonstrates Docker.
This document introduces containers and Docker. It defines containers as isolated Linux systems that allow multiple systems to run on a single host. Docker is a tool that automates deploying applications as lightweight, portable containers that can run anywhere. The document outlines Docker's architecture and components, including images, containers, the Docker engine, and Docker registry. It notes that container state must be mapped externally to survive container ephemerality. Finally, it positions Docker as enabling microservices architectures through isolated containers that allow services to scale independently.
This document discusses integrating Docker containers with the libvirt API to allow Docker management using libvirt. It begins by providing background on Docker, containers, and libvirt. It then proposes implementing the Docker API in C and integrating it with the libvirt API. This would allow clouds to provide a single libvirt API for managing both containers and virtual machines, without needing separate Docker APIs. It would also provide a generic Docker interface across clouds.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
When seeking to implement microservices architecture in an organization, these are the benefits of deploying Docker as the platform as a service (PaaS); Docker helps manage costs, complexity, service continuity and production times.
Docker concepts and microservices architecture are discussed. Key points include:
- Microservices architecture involves breaking applications into small, independent services that communicate over well-defined APIs. Each service runs in its own process and communicates through lightweight mechanisms like REST/HTTP.
- Docker allows packaging and running applications securely isolated in lightweight containers from their dependencies and libraries. Docker images are used to launch containers which appear as isolated Linux systems running on the host.
- Common Docker commands demonstrated include pulling public images, running interactive containers, building custom images with Dockerfiles, and publishing images to Docker Hub registry.
The document discusses Docker and Kubernetes tools for Visual Studio code. It provides an overview of Docker, how to build Docker images using Dockerfiles, and how to use the Docker extension in VS Code. It also covers developing applications inside Docker containers using the Remote - Containers extension. Finally, it gives a basic introduction to Kubernetes, including nodes, pods, deployments, and services. The presenter demonstrates creating a Dockerfile and deploying to Kubernetes.
Docker is an open-source project that allows developers to package applications into lightweight, portable containers that can run on any Linux server. Containers isolate applications from one another and the underlying infrastructure, while still sharing operating system resources to improve efficiency. Docker eliminates inconsistencies between development and production environments by allowing applications to run identically in any computing environment, from a developer's laptop to the cloud. This portability and consistency accelerates the development lifecycle and improves deployment workflows for both developers and operations teams.
This document discusses Docker and the Docker ecosystem. It provides descriptions of various tools related to Docker including orchestration, service discovery, networking, data management, and monitoring tools. It also discusses some companies and projects that are part of the Docker ecosystem like Docker itself, CoreOS, Kubernetes, Marathon, Consul, etcd, and others.
This document provides an overview of Docker and containers. It begins with a brief introduction to 12 Factor Applications methodology and then defines what Docker is, explaining that containers utilize Linux namespaces and cgroups to isolate processes. It describes the Docker software and ecosystem, including images, registries, Docker CLI, Docker Compose, building images with Dockerfile, and orchestrating with tools like Kubernetes. It concludes with a live demo and links to additional resources.
Accelerate your software development with DockerAndrey Hristov
Docker is in all the news and this talk presents you the technology and shows you how to leverage it to build your applications according to the 12 factor application model.
Kubernetes Vs. Docker Swarm: Comparing the Best Container Orchestration Tool ...Katy Slemon
Let's see, the major advantages and disadvantages of the two most powerful and most popular container orchestration tools: Kubernetes and Docker Swarm.
Microservices, Containers and Docker
This document provides an overview of microservices, containers, and Docker. It begins by defining microservices as an architectural style where applications are composed of independent, interchangeable components. It discusses benefits of the microservices style such as independent deployability, efficient scaling, and design autonomy. The document then introduces containers as a way to package applications and their dependencies to run uniformly across various environments. It compares containers to virtual machines. Finally, it describes Docker as an open source tool that automates deployment of applications into containers, providing portability and management of containers. The document concludes by discussing the need for container orchestration at scale.
Docker is an open-source tool that allows developers to package applications into containers that can run on any infrastructure regardless of operating system. It provides an additional layer of abstraction and automation of operating system-level virtualization. Docker allows developers to build, ship, and run distributed applications, and is useful for both developers and DevOps users by making deployments more efficient, consistent, and repeatable across environments from development to production.
Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. It allows applications to be assembled from components and run unchanged on laptops, data centers, and clouds. Containers provide isolation at the OS level and share resources to provide lightweight virtualization compared to virtual machines. Docker standardizes the container format and tools to make containers portable and easy for developers to use, improving the development lifecycle.
O documento discute o controle de acesso lógico em redes de computadores, incluindo o uso de firewalls para criar barreiras lógicas entre redes públicas e privadas, o uso de VPNs para conexões remotas seguras e a localização de servidores VPN.
O documento descreve os principais conceitos sobre firewalls, incluindo: (1) firewalls filtram pacotes de acordo com regras baseadas nos cabeçalhos dos pacotes; (2) firewalls stateful também verificam o estado das conexões armazenadas em tabelas; (3) existem diferentes arquiteturas de firewalls como dual-homed host, DMZ e bastion host para melhor proteger redes.
This document discusses how Docker can be used to deploy Mule instances by creating Docker containers. It provides steps to create a Dockerfile to build a Docker image containing Mule ESB. The image installs Java, downloads Mule, extracts and configures it. Layers are created for each step and flattened into a single filesystem. The document suggests improvements like parametrized images and integrating Docker builds into continuous integration.
The Axigen Docker image is provided for users to be able to run an Axigen based mail service within a Docker container.
The following services are enabled and mapped as 'exposed' TCP ports in Docker:
§ SMTP (25 - non secure, 465 - TLS)
§ IMAP (143 - non secure, 993 - TLS)
§ POP3 (110 - non secure, 995 - TLS)
§ WEBMAIL (80 - non secure, 443 - TLS)
§ WEBADMIN (9000 - non secure, 9443 - TLS)
CLI (7000 - non secure
Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment. This provides many of the benefits of loading an application onto a virtual machine, as the application can be run on any suitable physical machine without any worries about dependencies.
Docker is an open-source tool that allows developers to package applications into containers to ensure consistency between development and production. It provides standardized packaging that isolates applications from each other and shares the same operating system kernel. Docker benefits developers by allowing applications to be built once and run anywhere without dependencies, and benefits DevOps by increasing efficiency and speed of the development lifecycle. The document then discusses who uses Docker, how to install it, the Docker engine architecture, images, registries, commands, and demonstrates Docker.
This document introduces containers and Docker. It defines containers as isolated Linux systems that allow multiple systems to run on a single host. Docker is a tool that automates deploying applications as lightweight, portable containers that can run anywhere. The document outlines Docker's architecture and components, including images, containers, the Docker engine, and Docker registry. It notes that container state must be mapped externally to survive container ephemerality. Finally, it positions Docker as enabling microservices architectures through isolated containers that allow services to scale independently.
This document discusses integrating Docker containers with the libvirt API to allow Docker management using libvirt. It begins by providing background on Docker, containers, and libvirt. It then proposes implementing the Docker API in C and integrating it with the libvirt API. This would allow clouds to provide a single libvirt API for managing both containers and virtual machines, without needing separate Docker APIs. It would also provide a generic Docker interface across clouds.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
When seeking to implement microservices architecture in an organization, these are the benefits of deploying Docker as the platform as a service (PaaS); Docker helps manage costs, complexity, service continuity and production times.
Docker concepts and microservices architecture are discussed. Key points include:
- Microservices architecture involves breaking applications into small, independent services that communicate over well-defined APIs. Each service runs in its own process and communicates through lightweight mechanisms like REST/HTTP.
- Docker allows packaging and running applications securely isolated in lightweight containers from their dependencies and libraries. Docker images are used to launch containers which appear as isolated Linux systems running on the host.
- Common Docker commands demonstrated include pulling public images, running interactive containers, building custom images with Dockerfiles, and publishing images to Docker Hub registry.
The document discusses Docker and Kubernetes tools for Visual Studio code. It provides an overview of Docker, how to build Docker images using Dockerfiles, and how to use the Docker extension in VS Code. It also covers developing applications inside Docker containers using the Remote - Containers extension. Finally, it gives a basic introduction to Kubernetes, including nodes, pods, deployments, and services. The presenter demonstrates creating a Dockerfile and deploying to Kubernetes.
Docker is an open-source project that allows developers to package applications into lightweight, portable containers that can run on any Linux server. Containers isolate applications from one another and the underlying infrastructure, while still sharing operating system resources to improve efficiency. Docker eliminates inconsistencies between development and production environments by allowing applications to run identically in any computing environment, from a developer's laptop to the cloud. This portability and consistency accelerates the development lifecycle and improves deployment workflows for both developers and operations teams.
This document discusses Docker and the Docker ecosystem. It provides descriptions of various tools related to Docker including orchestration, service discovery, networking, data management, and monitoring tools. It also discusses some companies and projects that are part of the Docker ecosystem like Docker itself, CoreOS, Kubernetes, Marathon, Consul, etcd, and others.
This document provides an overview of Docker and containers. It begins with a brief introduction to 12 Factor Applications methodology and then defines what Docker is, explaining that containers utilize Linux namespaces and cgroups to isolate processes. It describes the Docker software and ecosystem, including images, registries, Docker CLI, Docker Compose, building images with Dockerfile, and orchestrating with tools like Kubernetes. It concludes with a live demo and links to additional resources.
Accelerate your software development with DockerAndrey Hristov
Docker is in all the news and this talk presents you the technology and shows you how to leverage it to build your applications according to the 12 factor application model.
Kubernetes Vs. Docker Swarm: Comparing the Best Container Orchestration Tool ...Katy Slemon
Let's see, the major advantages and disadvantages of the two most powerful and most popular container orchestration tools: Kubernetes and Docker Swarm.
Microservices, Containers and Docker
This document provides an overview of microservices, containers, and Docker. It begins by defining microservices as an architectural style where applications are composed of independent, interchangeable components. It discusses benefits of the microservices style such as independent deployability, efficient scaling, and design autonomy. The document then introduces containers as a way to package applications and their dependencies to run uniformly across various environments. It compares containers to virtual machines. Finally, it describes Docker as an open source tool that automates deployment of applications into containers, providing portability and management of containers. The document concludes by discussing the need for container orchestration at scale.
Docker is an open-source tool that allows developers to package applications into containers that can run on any infrastructure regardless of operating system. It provides an additional layer of abstraction and automation of operating system-level virtualization. Docker allows developers to build, ship, and run distributed applications, and is useful for both developers and DevOps users by making deployments more efficient, consistent, and repeatable across environments from development to production.
Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. It allows applications to be assembled from components and run unchanged on laptops, data centers, and clouds. Containers provide isolation at the OS level and share resources to provide lightweight virtualization compared to virtual machines. Docker standardizes the container format and tools to make containers portable and easy for developers to use, improving the development lifecycle.
O documento discute o controle de acesso lógico em redes de computadores, incluindo o uso de firewalls para criar barreiras lógicas entre redes públicas e privadas, o uso de VPNs para conexões remotas seguras e a localização de servidores VPN.
O documento descreve os principais conceitos sobre firewalls, incluindo: (1) firewalls filtram pacotes de acordo com regras baseadas nos cabeçalhos dos pacotes; (2) firewalls stateful também verificam o estado das conexões armazenadas em tabelas; (3) existem diferentes arquiteturas de firewalls como dual-homed host, DMZ e bastion host para melhor proteger redes.
Quintas de ti_segurança em redes microsoftUilson Souza
O documento discute estratégias de segurança em redes Microsoft, incluindo desenhar um ambiente seguro, continuidade de serviços, patches de segurança e proteção da rede com 802.1x e criptografia. Apresenta também recursos como Web Application Proxy, ARR e demonstra algumas funcionalidades de segurança do Windows Server 2012 R2.
O documento discute o uso do iptables e squid para configurar um firewall e proxy em Linux. Ele explica como o iptables pode ser usado para filtrar pacotes, NAT e controle de tráfego, e como o squid pode ser configurado como um proxy transparente para bloquear sites e proteger usuários com antivírus. O documento também lista os tópicos que serão cobertos sobre firewall iptables e proxy squid.
The container revolution, and what it means to operators bay lisa - july 2016Robert Starmer
With containers becoming a key technology for developers and dev/ops practitioners, it's important for operators to understand the basics of the technology, and how it relates to datacenter operations.
This document discusses containers and LXD, which is a front-end for LXC Linux containers. It explains that containers provide benefits over virtual machines like higher density, faster startup times, and lower latency since they run processes on the same kernel. LXD makes it easier to manage LXC containers through its RESTful API, remote control, improved command line interface, and features for storage, networking, limits, and live migration. While LXD works out of the box on recent Ubuntu, installing it on other distributions like Debian and CentOS can be more difficult due to dependency requirements.
Containers #101 Meetup: Containers and OpenStackCodefresh
Recording posted here: https://codefresh.io/blog/containers-101-containers-openstack/
Slides from Robert Starmer's talk where he gave an overview of container technology and how it relates to OpenStack.
LXD is a container "hypervisor" and a new user experience for LXC.
The daemon exports a REST API both locally and if enabled, over the network.
The command line tool is designed to be a very simple, yet very powerful tool to manage all your containers. It can handle connect to multiple container hosts and easily give you an overview of all the containers on your network, let you create some more where you want them and even move them around while they're running.
[Container world 2017] The Questions You're Afraid to Ask about ContainersDustin Kirkland
Use the Right Container Technology for the Job
Application containers, machine containers, process containers, system containers -- what's the difference? 12-factor apps, Microservices, cloud-native application design -- are these real? Docker, Rocket, OCID, LXD -- do I need all of them? Should I run PaaS on top of my IaaS, or my IaaS on top of my PaaS? Do containers fit into PaaS or IaaS? Or both? Neither? Where are the intersections of Kubernetes, Swarm, Mesos, and OpenStack? How do I ensure compatibility across my public and private clouds? And how does bare metal -- from my commodity, scale-out x86 to my powerful, scale-up mainframes fit into all of this? Can any of this stuff actually be used in a highly secure environment? In this session, Dustin Kirkland, Ubuntu Product and Strategy Lead at Canonical, will explain the container ecosystem in clear, concise terms, from real enterprise user experience -- the successes and the failures.
Docker is a tool that makes it easier to use Linux containers (LXC) to deploy applications. It allows applications to run consistently across servers by including dependencies within containers. Containers are more lightweight than virtual machines and use less resources. Docker containers start faster than VMs and allow for easy sharing of application components. The Docker registry stores container images and metadata for easy sharing between developers and production environments.
Configuration management tools like Chef, Puppet, and Ansible aim to reduce inconsistencies by imposing and managing consistent configurations across environments. However, they do not fully address issues related to dependencies, isolation, and portability. Docker containers build on these tools by adding standard interfaces and a lightweight virtualization layer that encapsulates code and dependencies, allowing applications and their environments to be packaged together and run consistently on any infrastructure while also providing isolation.
Docker has created enormous buzz in the last few years. Docker is a open-source software containerization platform. It provides an ability to package software into standardised units on Docker for software development. In this hands-on introductory session, I introduce the concept of containers, provide an overview of Docker, and take the participants through the steps for installing Docker. The main session involves using Docker CLI (Command Line Interface) - all the concepts such as images, managing containers, and getting useful work done is illustrated step-by-step by running commands.
Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.
Linux containers (LXC) provide operating system-level virtualization using features of the Linux kernel such as cgroups, namespaces, and chroot. This allows for the creation of lightweight isolated environments called containers that share the kernel of the host system. Containers offer many advantages over traditional virtual machines such as near-native performance, flexibility, and lightweight resource usage. The document discusses the key building blocks and technologies that underpin LXC such as cgroups for resource control and namespaces for process isolation. It also covers the benefits of using LXC and how container images are realized on Linux.
KVM and docker LXC Benchmarking with OpenStackBoden Russell
Passive benchmarking with docker LXC and KVM using OpenStack hosted in SoftLayer. These results provide initial incite as to why LXC as a technology choice offers benefits over traditional VMs and seek to provide answers as to the typical initial LXC question -- "why would I consider Linux Containers over VMs" from a performance perspective.
Results here provide insight as to:
- Cloudy ops times (start, stop, reboot) using OpenStack.
- Guest micro benchmark performance (I/O, network, memory, CPU).
- Guest micro benchmark performance of MySQL; OLTP read, read / write complex and indexed insertion.
- Compute node resource consumption; VM / Container density factors.
- Lessons learned during benchmarking.
The tests here were performed using OpenStack Rally to drive the OpenStack cloudy tests and various other linux tools to test the guest performance on a "micro level". The nova docker virt driver was used in the Cloud scenario to realize VMs as docker LXC containers and compared to the nova virt driver for libvirt KVM.
Please read the disclaimers in the presentation as this is only intended to be the "chip of the ice burg".
The document discusses configuring Broadcom-based network switches using OpenNSL. It provides an overview of the Open Compute Project (OCP), Facebook's Wedge switch hardware, the Open Network Linux (ONL) operating system, and the Broadcom Trident2 chip. It then demonstrates how to perform basic L2 switching and L3 routing functions using the OpenNSL API, such as learning MAC addresses, forwarding traffic, creating IP interfaces, and adding routes. OpenNSL provides an open-source hardware abstraction layer for programming Broadcom switching ASICs.
This document provides an overview of Kubernetes and its components. It discusses the Go programming language features used in Kubernetes. It also describes how Kubernetes is architected, including the kube-apiserver, kube-scheduler, Kubelet, reconciliation process, and networking with Flannel. The presenter is Anseungkyu who worked on OpenStack private clouds and is now the deputy representative for OpenStack Korea.
My college ppt on topic Docker. Through this ppt, you will understand the following:- What is a container? What is Docker? Why its important for developers? and many more!
Docker provides a platform for building, shipping, and running distributed applications across environments using containers. It allows developers to quickly develop, deploy and scale applications. Docker DataCenter delivers Docker capabilities as a service and provides a unified control plane for both developers and IT operations to standardize, secure and manage containerized applications. It enables organizations to adopt modern practices like microservices, continuous integration/deployment and hybrid cloud through portable containers.
Cloud Native Application @ VMUG.IT 20150529VMUG IT
VMware and Pivotal are working together to provide an end-to-end solution for developing and running cloud-native applications. Key components of their solution include Photon OS, Lightwave for identity and access management, and Lattice for deploying and managing container clusters. Photon is a container-optimized Linux distribution designed to run Docker containers on vSphere. Lightwave provides open source identity and authentication capabilities. Lattice combines scheduling, routing, and logging from Cloud Foundry to manage clustered container applications. Together these provide an integrated platform for developing, securing, and managing cloud-native applications from development to production.
Docker is a container technology that allows applications and their dependencies to be packaged into standardized units called containers that can run on any infrastructure regardless of environment. Key Docker tools include Docker Engine for running containers, Docker Machine for provisioning hosts, Docker Swarm for clustering hosts, Docker Compose for defining multi-container apps, and Docker Registry for storing images. Containers allow developers to focus on code by ensuring consistency across environments and enabling microservices architectures through modularization of applications into independent containers that can scale individually.
Containers allow multiple isolated user space instances to run on a single host operating system. Containers are seen as less flexible than virtual machines since they generally can only run the same operating system as the host. Docker adds an application deployment engine on top of a container execution environment. Docker aims to provide a lightweight way to model applications and a fast development lifecycle by reducing the time between code writing and deployment. Docker has components like the client/server, images used to create containers, and public/private registries for storing images.
What is Docker & Why is it Getting Popular?Mars Devs
Docker and containerization, in general, are now causing quite a stir But what is Docker, and how does it relate to containerization. Today, in this blog we will walk you through the nitty-gritty of Docker and why it is getting adopted rapidly.
Click here to know more: https://www.marsdevs.com/blogs/what-is-docker-why-is-it-getting-popular
This document discusses Docker technology in cloud computing. It defines cloud computing and containerization using Docker. Docker is an open-source platform that allows developers to package applications with dependencies into standardized units called containers that can run on any infrastructure. The key components of Docker include images, containers, registries, and a daemon. Containers offer benefits over virtual machines like faster deployment, portability, and scalability. The document also discusses applications of Docker in cloud platforms and public registries like Docker Hub.
This document provides an overview of Docker basics including requirements, software, architecture, and concepts. It discusses traditional servers, virtual machines, and containers. Key advantages and disadvantages of each approach are listed. Docker concepts like images, containers, layers, Dockerfile, registry, and hub are defined. Common Docker commands are also outlined.
This document provides an introduction to Docker. It discusses how Docker benefits both developers and operations staff by providing application isolation and portability. Key Docker concepts covered include images, containers, and features like swarm and routing mesh. The document also outlines some of the main benefits of Docker deployment such as cost savings, standardization, and rapid deployment. Some pros of Docker include consistency, ease of debugging, and community support, while cons include documentation gaps and performance issues on non-native environments.
Docker is an open source containerization platform that allows users to package applications and their dependencies into standardized executable units called containers. Docker relies on features of the Linux kernel like namespaces and cgroups to provide operating-system-level virtualization and allow containers to run isolated on a shared kernel. This makes Docker highly portable and allows applications to run consistently regardless of the underlying infrastructure. Docker uses a client-server architecture where the Docker Engine runs in the cloud or on-premises and clients interact with it via Docker APIs or the command line. Common commands include build to create images from Dockerfiles, run to launch containers, and push/pull to distribute images to registries. Docker is often used for microservices and multi-container
Docker Overview detail about docker introduction, architecture, components and orchestration
Meetup Details of my presentation here:
http://www.meetup.com/DevOps-Meetup/events/222569192/
http://www.meetup.com/Scale-Warriors-of-Bangalore/events/223008532/
.docker : How to deploy Digital Experience in a container, drinking a cup of ...ICON UK EVENTS Limited
Matteo Bisi / Factor-y srl
Andrea Fontana / SOWRE SA
Docker is one of best technologies available on market to install and run and deploy application fastest , securely like never before. In this session you will see how to deploy a complete digital experience inside containers that will enable you to deploy a Portal drinking a cup of coffee. We will start from a deep overview of docker: what is docker, where you can find that, what is a container and why you should use container instead a complete Virtual Machine. After the overview we will enter inside how install IBM software inside a container using docker files that will run the setup using silent setup script. At last part we will talk about possible use of this configuration in real work scenario like staging or development environment or in WebSphere Portal farm setup.
Using Docker container technology with F5 Networks products and servicesF5 Networks
This document discusses how Docker containerization technology can be used with F5 products and services. It provides an overview of Docker, comparing it to virtual machines. Docker allows for higher resource utilization and faster application deployment than VMs. The document outlines how F5 supports using containers and integrating with Docker for application delivery and security services. It describes Docker networking and how F5 solutions can provide services like load balancing within Docker container environments.
.docker : how to deploy Digital Experience in a container drinking a cup of c...Andrea Fontana
This document discusses deploying digital experiences using Docker containers. It provides background on Docker, describing it as a way to package and ship software applications. It outlines key Docker components like the Docker Engine, Docker Machine, and Docker Registry. It then discusses how IBM supports Docker, including on platforms like Bluemix, zSystems, and PureApplication. Finally, it provides guidance on creating Docker images for IBM social software, covering preparing installations scripts and using Dockerfiles to automate the image creation process.
docker : how to deploy Digital Experience in a container drinking a cup of co...Matteo Bisi
This document discusses deploying IBM Social Software in Docker containers. It begins with introductions of the authors and their backgrounds. It then provides an overview of Docker, including its key components like Docker Engine, Machine, and registry. The document discusses using Docker to package and deploy IBM software like WebSphere Application Server and DB2. It provides a Dockerfile example for installing WAS 9 in a container through silent installation. The document concludes with links to additional Docker and IBM resources.
This is a content that cover the introduction into DevOps on a conceptual level and how, containerisation could help tp improve the DevOps lifecycle. Therefore, also contains an introduction to Docker which was followed by a practical session.
Docker allows developers to package applications with dependencies into standardized units called containers that can run on any system with Docker installed. Containers provide isolation and portability benefits compared to virtual machines. Docker streamlines the development process by allowing applications to run consistently across development, testing, and production environments using containers. Containers also improve efficiency by enabling flexible, modular application architectures.
This document provides information about Docker and how it compares to virtual machines. It defines key Docker concepts like containers, images, and layers. It explains that Docker allows applications to be packaged with all their dependencies and shipped as standardized units called containers that can run on any Linux server that has Docker installed. Containers are more lightweight than virtual machines and provide greater performance and portability. The document also provides examples of how to build Docker images using Dockerfiles and deploy containers.
- Docker is a platform for building, shipping and running applications. It allows applications to be quickly assembled from components and eliminates discrepancies between development and production environments.
- Docker provides lightweight containers that allow applications to run in isolated environments called containers without running a full virtual machine. Containers are more portable and use resources more efficiently than virtual machines.
- Docker Swarm allows grouping Docker hosts together into a cluster where containers can be deployed across multiple hosts. It provides features like service discovery, load balancing, failure recovery and rolling updates without a single point of failure.
Similar to Docker - Alem da virtualizaćão Tradicional (20)
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
2. Whoami:
Marcos Vieira - @minemonics
Ciência da Computação – PUCRS
Analista de Infraestrutura TI
Certificado LPIC-2
Fedora Ambassador
Membro do Grupo de usuários Tchelinux
Palestrante em eventos Open Source: Fisl, Solisc, Flisol, Tchelinux
4. DEVOPS
PROBLEMÃO DE DEVOPS ATÉ 2013:
Como realizar o deploy e manter versões de diferentes aplicações
de forma rápida e ágil.
Solução:
5. Linux Containers (LXC)
LXC é um tipo de virtualização em nível de sistema operacional
que proporciona a execução de vários sistemas Linux de forma
isolada (containers) em um único host de controle.
O principal objetivo do LXC é criar um ambiente mais próximo
possivel de instalação padrão do Linux sem a necessidade de
utilizar um outro kernel.
6. Linux Containers (LXD)
LXD é uma espécie de "hypervisor" que prove uma melhora na
interface de usuário do LXC.
O LXD é formado por três componentes:
Daemon (lxd)
cliente de linha de comando (lxc)
Plugin de integração com o OpenStack Nova (nova-compute-lxd)
The command line tool is designed to be a very simple, yet verwwy
powerful tool
to manage all your containers. It can handle connect to multiple
container hosts
and easily give you an overview of all the containers on your network
O plugin para openstack permite o uso de lxd hosts como compute
nodes
7. Docker
Docker is a platform for developers and sysadmins to develop,
ship, and run applications. Docker lets you quickly assemble
applications from components and eliminates the friction that can
come when shipping code. Docker lets you get your code tested
and deployed into production as fast as possible.
Docker Engine
A portable,
lightweight
application runtime
and packaging tool.
Docker Hub
A cloud service
for sharing
applications and
automating
workflows.
8. Docker & Developers
Why do developers like it?
With Docker, developers can build any app in any language using any
toolchain. “Dockerized” apps are completely portable and can run
anywhere - colleagues’ OS X and Windows laptops, QA servers running
Ubuntu in the cloud, and production data center VMs running Red Hat.
Developers can get going quickly by starting with one of the 13,000+
apps available on Docker Hub. Docker manages and tracks changes and
dependencies, making it easier for sysadmins to understand how the
apps that developers build work. And with Docker Hub, developers can
automate their build pipeline and share artifacts with collaborators
through public or private repositories.
Docker helps developers build and ship higher-quality applications, faster.
9. Docker & Sysdamins
Why do sysadmins like it?
Sysadmins use Docker to provide standardized environments for their development,
QA, and production teams, reducing “works on my machine” finger-pointing. By
“Dockerizing” the app platform and its dependencies, sysadmins abstract away
differences in OS distributions and underlying infrastructure.
In addition, standardizing on the Docker Engine as the unit of deployment gives
sysadmins flexibility in where workloads run. Whether on-premise bare metal or data
center VMs or public clouds, workload deployment is less constrained by
infrastructure technology and is instead driven by business priorities and policies.
Furthermore, the Docker Engine’s lightweight runtime enables rapid scale-up and
scale-down in response to changes in demand.
Docker helps sysadmins deploy and run any app on any infrastructure, quickly and
reliably.