IPv6 seems like a perfect fit for cloud-native applications based on containers. What is the status of IPv6 support for containerized deployments today?
This document discusses containers in cloud computing. It begins with explaining why containers are useful for complex systems that need to deploy the same payloads across multiple environments like QA, staging and production servers. It then defines containers as isolated environments similar to virtual machines but with less overhead. The document provides a history of container technologies over time like chroot, LXC and Docker. It describes Docker as open source software that builds on LXC and provides a portable format and runtime for deploying applications in containers with optimized layers and dependency management. Finally, it introduces container orchestration tools like Docker Swarm for managing and provisioning multi-container applications across clusters with services like discovery, upgrades and load balancing.
Performance comparison between Linux Containers and Virtual MachinesSoheila Dehghanzadeh
This presentation is based on http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7164727&punumber%3D7153311%26filter%3DAND(p_IS_Number%3A7164643)%26pageNumber%3D3
The document introduces containers and Docker. It discusses the problems with traditional virtualization approaches for managing and deploying code. Containers provide a lightweight virtualization method that packages code and dependencies together so the application runs reliably from one computing environment to another. Docker is a tool that makes it easy to create, deploy and run containers. The document provides examples of using Docker to build container images from a Dockerfile, run containers, link containers together using Docker Compose, and share container images publicly on Docker Hub.
Docker uses virtualization techniques like namespaces and cgroups to isolate processes and share resources efficiently across multiple Linux containers. Namespaces isolate things like process IDs, network interfaces, and mounted filesystems between containers, while cgroups limit resources like CPU and memory for containers. AuFS combines multiple filesystem layers into one for containers. Docker builds on these technologies to package applications and their dependencies into lightweight Linux containers that can run virtually anywhere.
Docker is a tool designed to make it easier to create, deploy, and run applications
by using containers. Containers allow a developer to package up
an application with all of the parts it needs, such as libraries and other dependencies,
and ship it all out as one package. By doing so, thanks to the
container, the developer can rest assured that the application will run on
any other Linux machine regardless of any customized settings that machine
might have that could differ from the machine used for writing and testing
the code.
In a way, Docker is a bit like a virtual machine. But unlike a virtual
machine, rather than creating a whole virtual operating system, Docker allows
applications to use the same Linux kernel as the system that they’re
running on and only requires applications be shipped with things not already
running on the host computer. This gives a significant performance boost
and reduces the size of the application.
Wso2 con 2014-us-tutorial-apache stratos-wso2 private paas with docker integr...Lakmal Warusawithana
This document discusses Apache Stratos/WSO2 private PaaS with Docker integration. It provides an overview of containers, Docker, CoreOS, Kubernetes and Flannel. It then demonstrates how Apache Stratos 4.1.0 can be used to deploy and manage Docker-based applications on a CoreOS cluster using Kubernetes for orchestration and service discovery. Key features of Stratos like automated scaling and updates are shown.
This document discusses containers in cloud computing. It begins with explaining why containers are useful for complex systems that need to deploy the same payloads across multiple environments like QA, staging and production servers. It then defines containers as isolated environments similar to virtual machines but with less overhead. The document provides a history of container technologies over time like chroot, LXC and Docker. It describes Docker as open source software that builds on LXC and provides a portable format and runtime for deploying applications in containers with optimized layers and dependency management. Finally, it introduces container orchestration tools like Docker Swarm for managing and provisioning multi-container applications across clusters with services like discovery, upgrades and load balancing.
Performance comparison between Linux Containers and Virtual MachinesSoheila Dehghanzadeh
This presentation is based on http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7164727&punumber%3D7153311%26filter%3DAND(p_IS_Number%3A7164643)%26pageNumber%3D3
The document introduces containers and Docker. It discusses the problems with traditional virtualization approaches for managing and deploying code. Containers provide a lightweight virtualization method that packages code and dependencies together so the application runs reliably from one computing environment to another. Docker is a tool that makes it easy to create, deploy and run containers. The document provides examples of using Docker to build container images from a Dockerfile, run containers, link containers together using Docker Compose, and share container images publicly on Docker Hub.
Docker uses virtualization techniques like namespaces and cgroups to isolate processes and share resources efficiently across multiple Linux containers. Namespaces isolate things like process IDs, network interfaces, and mounted filesystems between containers, while cgroups limit resources like CPU and memory for containers. AuFS combines multiple filesystem layers into one for containers. Docker builds on these technologies to package applications and their dependencies into lightweight Linux containers that can run virtually anywhere.
Docker is a tool designed to make it easier to create, deploy, and run applications
by using containers. Containers allow a developer to package up
an application with all of the parts it needs, such as libraries and other dependencies,
and ship it all out as one package. By doing so, thanks to the
container, the developer can rest assured that the application will run on
any other Linux machine regardless of any customized settings that machine
might have that could differ from the machine used for writing and testing
the code.
In a way, Docker is a bit like a virtual machine. But unlike a virtual
machine, rather than creating a whole virtual operating system, Docker allows
applications to use the same Linux kernel as the system that they’re
running on and only requires applications be shipped with things not already
running on the host computer. This gives a significant performance boost
and reduces the size of the application.
Wso2 con 2014-us-tutorial-apache stratos-wso2 private paas with docker integr...Lakmal Warusawithana
This document discusses Apache Stratos/WSO2 private PaaS with Docker integration. It provides an overview of containers, Docker, CoreOS, Kubernetes and Flannel. It then demonstrates how Apache Stratos 4.1.0 can be used to deploy and manage Docker-based applications on a CoreOS cluster using Kubernetes for orchestration and service discovery. Key features of Stratos like automated scaling and updates are shown.
Docker Intro at the Google Developer Group and Google Cloud Platform Meet UpJérôme Petazzoni
Docker is the Open Source engine to author, run, and manage Linux Containers. This is a short introduction to Docker, what it is, what is for; it was given in the context of the Google Developer Group and Google Cloud Platform Meet-Up in San Francisco, end of March 2014.
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.
Presented Docker in 15 minutes with two of my classmates at school.
Presentation covering topics:
Virtualization
Virtual Machines
Container Technology (Docker)
Docker Compose
Docker Swarm
The demo can be found at:
https://github.com/DanishKhakwani/SimpleDockerDemo
Virtualization, Containers, Docker and scalable container management servicesabhishek chawla
In this presentation we take you through the concept of virtualization which includes the different types of virtualizations, understanding the Docker as a software containerization platform like Docker's Architecture, Building and running custom images in Docker containers, Scalable container management services which include overview of Amazon ECS & kubernetes and how at LimeTray we harnessed the power of kubernetes for scalable automated deployment of our microservices.
The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses:
- Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms.
- How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure.
- Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands.
- Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.
Docker allows for the use of lightweight containers that share the host operating system kernel. Containers isolate applications from one another and provide a way to package applications with their dependencies. Containers use resource isolation features and union file systems for efficiency. Docker images are built from layers and can be distributed. The Docker ecosystem includes tools for the container lifecycle, networking, storage, and distribution of images.
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.
Scaling and Managing Cassandra with docker, CoreOS and PrestoVali-Marius Malinoiu
This document discusses technologies for building scalable distributed applications including Docker for containerization, CoreOS for clustering, and Presto for querying. Docker allows building and sharing portable applications without dependencies. CoreOS uses Etcd for reliable storage, Fleet for service deployment and management, and Flannel for networking containers across machines. Presto is presented as a distributed SQL query engine that can combine data from multiple sources like Hadoop and Cassandra at scale.
Central Iowa Linux Users Group: November Meeting -- Container showdownAndrew Denner
This document summarizes an upcoming meeting of the Central Iowa Linux Users Group (CIALUG) that will feature a presentation on Linux containers. The presentation will provide a brief history of containers from early chroot-based implementations to modern Docker and Kubernetes containers. It will also demo and compare various container technologies like Docker, LXC, Podman, Buildah, and Kubernetes.
Hypervisor "versus" Linux Containers!
Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.
Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters!
Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments.
Francisco Gonçalves (Dec2013
( francis.goncalves@gmail.com )
Docker and containers : Disrupting the virtual machine(VM)Rama Krishna B
This document discusses Docker containers and how they are disrupting virtual machines. It begins with definitions of key terms like virtualization, virtual machines, and hypervisors. It then compares virtual machines to containers, noting that containers are more lightweight and efficient since they share the host operating system and resources, while still providing isolation. The document traces the evolution of containers from early technologies like chroot to modern implementations in Docker. It positions Docker as an open source tool that packages and runs applications in portable software containers. While containers increase efficiency over virtual machines, the document argues both technologies can coexist in cloud environments.
This document provides an introduction to Docker including Docker vocabulary, architecture, file systems, networking, volumes, registry services like Docker Hub, and clustering technologies like Docker Swarm, Kubernetes and Mesos. It also covers setting up a local Docker environment, building Docker images with Dockerfiles, running containers, and deploying containers on AWS EC2 Container Service.
This document outlines the curriculum for an introduction to containerization presentation. It includes slides and hands-on exercises on installing Docker, building Docker images, running containers, viewing processes inside containers, and experimenting with resource isolation using cgroups and namespaces. Attendees will build a Docker image for a sample Flask application, run the container, view logs and processes, and push the image to Docker Hub. The presentation covers definitions of key containerization concepts and the benefits of using containers.
Docker is a technology that uses lightweight containers to package applications and their dependencies in a standardized way. This allows applications to be easily deployed across different environments without changes to the installation procedure. Docker simplifies DevOps tasks by enabling a "build once, ship anywhere" model through standardized environments and images. Key benefits include faster deployments, increased utilization of resources, and easier integration with continuous delivery and cloud platforms.
This document provides an overview of Docker, including what it is, how it compares to virtual machines and containers, its architecture and features. It discusses that Docker virtualizes using lightweight Linux containers rather than full virtual machines, and how this provides benefits like smaller size and faster performance compared to VMs. It also covers Docker's components like the Docker Engine, Hub and images, and how Docker can be used to develop, ship and run applications on any infrastructure.
Containers are not virtual machines - they have fundamentally different architectures and benefits. Docker allows users to build, ship, and run applications inside containers. It provides tools and a platform to manage the lifecycle of containerized applications, from development to production. Containers use layers and copy-on-write to provide efficient application isolation and delivery.
This slide is just for beginner journey with docker who are eager to learn docker but don't know where to start or how it works. In here I am trying to explain every basic things of docker as simple as possible.
Introduction to Docker - Docker workshop @TwitterdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
7_OPEN17_Azure_Next-gen Development with PaaS & ContainersKangaroot
Containers provide operating system-level virtualization that isolates applications from each other and the underlying infrastructure. Containers allow for portable and reproducible application deployments across development, testing, and production environments. Platform-as-a-Service (PaaS) offerings like Azure Container Service simplify deploying and managing containerized applications at scale in the cloud.
Kubernetes is a container orchestration system that manages the deployment and scaling of containerized applications. It groups containers into Pods and coordinates multiple Pods across a cluster of nodes. The document provides an overview of Kubernetes architecture, including its use of master and worker nodes, controllers that manage components and respond to events, and how containers are scheduled and replicated across nodes for scalability. It also compares containers to traditional virtual machines and microservices to provide context on Kubernetes and containerization.
Docker Intro at the Google Developer Group and Google Cloud Platform Meet UpJérôme Petazzoni
Docker is the Open Source engine to author, run, and manage Linux Containers. This is a short introduction to Docker, what it is, what is for; it was given in the context of the Google Developer Group and Google Cloud Platform Meet-Up in San Francisco, end of March 2014.
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.
Presented Docker in 15 minutes with two of my classmates at school.
Presentation covering topics:
Virtualization
Virtual Machines
Container Technology (Docker)
Docker Compose
Docker Swarm
The demo can be found at:
https://github.com/DanishKhakwani/SimpleDockerDemo
Virtualization, Containers, Docker and scalable container management servicesabhishek chawla
In this presentation we take you through the concept of virtualization which includes the different types of virtualizations, understanding the Docker as a software containerization platform like Docker's Architecture, Building and running custom images in Docker containers, Scalable container management services which include overview of Amazon ECS & kubernetes and how at LimeTray we harnessed the power of kubernetes for scalable automated deployment of our microservices.
The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses:
- Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms.
- How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure.
- Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands.
- Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.
Docker allows for the use of lightweight containers that share the host operating system kernel. Containers isolate applications from one another and provide a way to package applications with their dependencies. Containers use resource isolation features and union file systems for efficiency. Docker images are built from layers and can be distributed. The Docker ecosystem includes tools for the container lifecycle, networking, storage, and distribution of images.
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.
Scaling and Managing Cassandra with docker, CoreOS and PrestoVali-Marius Malinoiu
This document discusses technologies for building scalable distributed applications including Docker for containerization, CoreOS for clustering, and Presto for querying. Docker allows building and sharing portable applications without dependencies. CoreOS uses Etcd for reliable storage, Fleet for service deployment and management, and Flannel for networking containers across machines. Presto is presented as a distributed SQL query engine that can combine data from multiple sources like Hadoop and Cassandra at scale.
Central Iowa Linux Users Group: November Meeting -- Container showdownAndrew Denner
This document summarizes an upcoming meeting of the Central Iowa Linux Users Group (CIALUG) that will feature a presentation on Linux containers. The presentation will provide a brief history of containers from early chroot-based implementations to modern Docker and Kubernetes containers. It will also demo and compare various container technologies like Docker, LXC, Podman, Buildah, and Kubernetes.
Hypervisor "versus" Linux Containers!
Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.
Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters!
Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments.
Francisco Gonçalves (Dec2013
( francis.goncalves@gmail.com )
Docker and containers : Disrupting the virtual machine(VM)Rama Krishna B
This document discusses Docker containers and how they are disrupting virtual machines. It begins with definitions of key terms like virtualization, virtual machines, and hypervisors. It then compares virtual machines to containers, noting that containers are more lightweight and efficient since they share the host operating system and resources, while still providing isolation. The document traces the evolution of containers from early technologies like chroot to modern implementations in Docker. It positions Docker as an open source tool that packages and runs applications in portable software containers. While containers increase efficiency over virtual machines, the document argues both technologies can coexist in cloud environments.
This document provides an introduction to Docker including Docker vocabulary, architecture, file systems, networking, volumes, registry services like Docker Hub, and clustering technologies like Docker Swarm, Kubernetes and Mesos. It also covers setting up a local Docker environment, building Docker images with Dockerfiles, running containers, and deploying containers on AWS EC2 Container Service.
This document outlines the curriculum for an introduction to containerization presentation. It includes slides and hands-on exercises on installing Docker, building Docker images, running containers, viewing processes inside containers, and experimenting with resource isolation using cgroups and namespaces. Attendees will build a Docker image for a sample Flask application, run the container, view logs and processes, and push the image to Docker Hub. The presentation covers definitions of key containerization concepts and the benefits of using containers.
Docker is a technology that uses lightweight containers to package applications and their dependencies in a standardized way. This allows applications to be easily deployed across different environments without changes to the installation procedure. Docker simplifies DevOps tasks by enabling a "build once, ship anywhere" model through standardized environments and images. Key benefits include faster deployments, increased utilization of resources, and easier integration with continuous delivery and cloud platforms.
This document provides an overview of Docker, including what it is, how it compares to virtual machines and containers, its architecture and features. It discusses that Docker virtualizes using lightweight Linux containers rather than full virtual machines, and how this provides benefits like smaller size and faster performance compared to VMs. It also covers Docker's components like the Docker Engine, Hub and images, and how Docker can be used to develop, ship and run applications on any infrastructure.
Containers are not virtual machines - they have fundamentally different architectures and benefits. Docker allows users to build, ship, and run applications inside containers. It provides tools and a platform to manage the lifecycle of containerized applications, from development to production. Containers use layers and copy-on-write to provide efficient application isolation and delivery.
This slide is just for beginner journey with docker who are eager to learn docker but don't know where to start or how it works. In here I am trying to explain every basic things of docker as simple as possible.
Introduction to Docker - Docker workshop @TwitterdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
7_OPEN17_Azure_Next-gen Development with PaaS & ContainersKangaroot
Containers provide operating system-level virtualization that isolates applications from each other and the underlying infrastructure. Containers allow for portable and reproducible application deployments across development, testing, and production environments. Platform-as-a-Service (PaaS) offerings like Azure Container Service simplify deploying and managing containerized applications at scale in the cloud.
Kubernetes is a container orchestration system that manages the deployment and scaling of containerized applications. It groups containers into Pods and coordinates multiple Pods across a cluster of nodes. The document provides an overview of Kubernetes architecture, including its use of master and worker nodes, controllers that manage components and respond to events, and how containers are scheduled and replicated across nodes for scalability. It also compares containers to traditional virtual machines and microservices to provide context on Kubernetes and containerization.
Robert Starmer's talk recording- https://codefresh.io/blog/containers-101-containers-openstack/
His slides from our meetup on August 17th, where he gave an overview of container technology and how it relates to OpenStack.
Dojo given at ESEI, Uvigo.
The slides include a set of great slides from a presentation made by Elvin Sindrilaru at CERN.
Docker is an open platform for building, shipping and running distributed applications. It gives programmers, development teams and operations engineers the common toolbox they need to take advantage of the distributed and networked nature of modern applications.
This document provides an introduction to Docker, including:
- Docker allows developers to package applications with all dependencies into standardized units called containers that can run on any infrastructure.
- Docker uses namespaces and control groups to provide isolation and security between containers while allowing for more efficient use of resources than virtual machines.
- The Docker architecture includes images which are templates for creating containers, a Dockerfile to automate image builds, and Docker Hub for sharing images.
- Kubernetes is an open-source platform for automating deployment and management of containerized applications across clusters of hosts.
LXC (Linux Containers) allows multiple isolated Linux systems called containers to run on a single Linux host. Containers offer lightweight virtualization by running applications in isolated processes on the host operating system without needing a hypervisor. This provides better performance than virtual machines and allows containers to be deployed and migrated more easily. While still a newer technology, LXC adoption is growing rapidly due to its benefits for server isolation, workload management, and portability.
Containers and OpenStack: Marc Van Hoof, Kumulus: Containers and OpenStackOpenStack
Containers and OpenStack
Audience: Intermediate
Topic: Infrastructure
Abstract: Containers are the new darling of the development world, and many are calling for an end of the IaaS world. But there are still key reasons that IaaS is important even as Container based development becomes the desired path for the development community. We will review containers in the context of their growth in popularity, and look at how OpenStack both continues to support and enable Container solutions, and the latest developments in OpenStack as a containerized solution directly.
Speaker Bio: Marc Van Hoof, Kumulus
Marc van Hoof has been in the technology industry for over 20 years, focused on developing, deploying, and scaling internet applications. He was part of a team that built the first internet data centre in Australia, has worked on some of the largest online real-time events, and advises companies on how to take advantage of the true benefits of migrating to the cloud.
OpenStack Australia Day Government - Canberra 2016
https://events.aptira.com/openstack-australia-day-canberra-2016/
Introduction to automated environment management with Docker Containers - for...Lucas Jellema
(presented at the AMIS Platform SIG session on October 1st 2015, Nieuwegein, The Netherlands)
Creating and managing environments for development and r&d activities can be cumbersome. Quickly spinning up databases and web servers, using physical resources in a smart way, installing application components and having everything talk to each other can take a lot of time. This presentation introduces Docker - the key aspects of build, ship and run. It discusses the main concepts and typical actions.
Next, it takes you by the hand and introduces you to Vagrant and Virtual Box for quickly provisioning VMs in which Docker containers run platform components, applications and microservices - all environments fine tuned using Puppet and interacting with Git(Hub). We start from zero on your laptop and end with local environments in which to develop, test and run various types of applications.
The presentation spends some time on Oracle 's position regarding Docker and containers.
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.
The document outlines the agenda for the OpenStack Summit in November 2013, including presentations on Docker and its ecosystem, how Docker can be used with OpenStack and Rackspace, and a demonstration of cross-cloud application deployment using Docker. Docker is presented as a solution to the "matrix from hell" of running applications across different environments by providing lightweight, portable containers that can run anywhere regardless of the operating system. The summit aims to educate attendees on Docker and showcase its integration with OpenStack for simplified and efficient application deployment and management across multiple clouds.
This document provides an overview of containers, Kubernetes, and their key concepts. It discusses how Kubernetes manages containerized applications across clusters and abstracts away infrastructure details. The main components of Kubernetes include Pods (groups of tightly-coupled containers), ReplicationControllers (manages Pod replicas), Services (expose Pods to external traffic), and Namespaces (logical isolation of clusters). Kubernetes architecture separates the control plane running on the master from the nodes that run container workloads.
Linux Containers(LXC) allow running multiple isolated Linux instances (containers) on the same host.
Containers share the same kernel with anything else that is running on it, but can be constrained to only use a defined amount of resources such as CPU, memory or I/O.
A container is a way to isolate a group of processes from the others on a running Linux system.
1) Kubernetes is an open-source system for managing containerized applications and services across multiple hosts. It was created by Google in 2014 to automate deployment, scaling, and operations of application containers.
2) Kubernetes allows for automatic deployment and scaling of applications. It makes applications portable and lightweight by running them in containers.
3) The document provides an overview of key Kubernetes concepts including pods, replication controllers, and services. Pods are the smallest deployable units that can contain one or more containers which share resources. Replication controllers ensure a specified number of pod replicas are running. Services define a policy to access pods through labels.
Docker allows building and running applications inside lightweight containers. Some key benefits of Docker include:
- Portability - Dockerized applications are completely portable and can run on any infrastructure from development machines to production servers.
- Consistency - Docker ensures that application dependencies and environments are always the same, regardless of where the application is run.
- Efficiency - Docker containers are lightweight since they don't need virtualization layers like VMs. This allows for higher density and more efficient use of resources.
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
Course Website http://pbdmng.datatoknowledge.it/
Contact me to download the slides
This document provides an introduction and overview of Docker. It discusses why Docker was created to address issues with managing applications across different environments, and how Docker uses lightweight containers to package and run applications. It also summarizes the growth and adoption of Docker in its first 7 months, and outlines some of its core features and the Docker ecosystem including integration with DevOps tools and public clouds.
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013dotCloud
The document outlines the agenda for the OpenStack Summit in November 2013. The agenda includes sessions on Docker and its ecosystem, using Docker with OpenStack and Rackspace, and a cross-cloud deployment demo. Docker is presented as a solution for developing and deploying applications across multiple environments by encapsulating code and dependencies in portable containers. It can help eliminate inconsistencies between development, testing, and production environments.
Kubernetes uses containers managed by container engines like Docker. It separates containers from the host machine using namespaces and cgroups for isolation. Docker containers share the host kernel and use aufs for the union filesystem. Virtual machines (VMs) run a full guest operating system with virtualization provided by hypervisors like KVM/QEMU. Containers are more lightweight than VMs as they share the host kernel and have smaller base images and faster launch times and resource usage.
Docker Meetup - Melbourne 2015 - Kubernetes Deep DiveKen Thompson
This document provides an overview of Kubernetes networking and storage capabilities. It begins with an agenda that includes a deep dive on Kubernetes networking and persistent volumes, as well as live demos of persistent storage and another topic. The document then discusses Kubernetes networking at the host level using pods that share IP, IPC, and disk, as well as inter-host networking solutions like OpenShift SDN. It also covers Kubernetes persistent volume claims that allow administrators to provision storage and developers to request storage that is independent of the underlying devices. The document concludes with demos of storage and another topic.
The document provides an overview of containers and Kubernetes. It discusses the need for containers due to microservices and infrastructure as code. It then covers technical details of containers like Dockerfiles, images, and registries. It also discusses Kubernetes and its components like kube-apiserver, etcd, and kubelet. Finally, it covers Kubernetes concepts like pods, services, deployments, and how they are configured.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
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
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
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).
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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.
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.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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.
12. Docker Networking
• Bridge network driver (--driver=bridge)
• IPv6 can be enabled (--ipv6)
• None network driver (--driver=none)
• Host network driver (--driver=host)
• Overlay network driver (--driver=overlay) – Multi-Host using VXLAN
• MACVLAN network driver (--driver=macvlan)
• IPv6 can be enabled
• Remote drivers – compatible with CNM (Container Network Model)
• Contiv, Weave, Calico…
13. Kubernetes
• Container orchestrator
• Runs and manages containers
• Supports multiple cloud and bare-metal
environments
• Inspired and informed by Google's experiences
and internal systems
• 100% Open source, written in Go
• Manage applications, not machines
• Rich ecosystem of plug-ins for scheduling,
storage, networking
19. What about the public cloud?
• GCE/GKE does not have IPv6 support
• VPC networks only support IPv4 unicast traffic. They do not support broadcast, multicast, or IPv6 traffic within
the network.
• Can use IPv6 with load-balancing:
• https://cloud.google.com/compute/docs/load-balancing/ipv6
• Azure, no IPv6 on AKS
• IPv6 load-balancer:
• https://docs.microsoft.com/en-us/azure/load-balancer/load-balancer-ipv6-overview
• Long list of limitations:
• A single IPv6 address can be assigned to a single network interface in each VM.
• The load balancer routes the IPv6 packets to the private IPv6 addresses of the VMs using network address translation
(NAT).
• Azure VMs cannot connect over IPv6 to other VMs, other Azure services, or on-premises devices. They can only
communicate with the Azure load balancer over IPv6. However, they can communicate with these other resources
using IPv4.
• Amazon
• Should work with EC2 instances
• Each VPC is given a unique /56 address prefix from within Amazon’s GUA (Global Unicast Address); you can
assign a /64 address prefix to each subnet in your VPC
• Maximum amount of IPv6 addresses per interface:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-eni.html#AvailableIpPerENI
21. The scale of IPv6 for containers
• Every docker host a routed /64
• Never re-use IPv6 address again
• How long would it take to burn through that /64?
• How about 10,000,000 per second ?
• A standard /64 prefix in IPv6 is 18,446,744,073,709,600,000 addresses.
• 18,446,744,073,709,600,000 IPv6 addresses / (10,000,000 IPv6 addresses/second * 60 sec/min *
60 min/hr * 24 hr/day * 365 days/yr) = 58,494 years
• A single /48 contains 65536 /64s
• 58,494 years * 65536 = 3,833,478,626 (3.8 billion years)
Ed Horley (VP engineering Groupware)
http://www.howfunky.com/2015/06/ipv6-docker-and-building-for-scale.html
22. References
• IPv6 and containers – a horror story
• Matt Palmer (Linux bearded guy)
• https://blog.apnic.net/2018/03/22/ipv6-and-containers-a-horror-story/
• SRv6LB @ Kubecon
• Pierre Pfister (Cisco SE) & Mark Townsley (Cisco Fellow)
• https://www.youtube.com/watch?v=RRKUeyFaqEA
• BRKSDN-2115
• Frank Brockners (Cisco Distinguished Engineer)
• https://www.ciscolive.com/global/on-demand-library/?search=BRKSDN-2115#/session/BRKSDN-2115
• Containers, virtualisation and IPv6
• Steve Youell (JP Morgan)
• http://www.ipv6.org.uk/2016/08/31/ipv6-council-meeting-october-2016/
• IPv6 in cloud deployments
• Shannon McFarland (Cisco Distinguished Engineer)
• http://www.rmv6tf.org/wp-content/uploads/2017/04/04-IPv6-Cloud-Deployment-RMv6tf-submit-min-1.pdf
• IPv6, Docker and building for scale
• Ed Horley (Groupware)
• http://www.howfunky.com/2015/06/ipv6-docker-and-building-for-scale.html