This presentation covers the basic architecture and components of docker, along with it's releases and milestones and upcoming features. It also covers a small section on optimizing our docker images.
Kubernetes & Google Kubernetes Engine (GKE)Akash Agrawal
This document discusses Kubernetes and Google Kubernetes Engine (GKE). It begins with an agenda that covers understanding Kubernetes, containers, and GKE. It then discusses traditional application deployment versus containerized deployment. It defines Kubernetes and containers, explaining how Kubernetes is a container orchestration system that handles scheduling, scaling, self-healing, and other functions. The document outlines Kubernetes concepts like clusters, pods, services, and controllers. It describes GKE as a managed Kubernetes service on Google Cloud that provides auto-scaling, integration with Google Cloud services, and other features.
Introduction to Kubernetes and Google Container Engine (GKE)Opsta
Kubernetes is an open-source system for automating
deployment, scaling, and management of containerized
applications. This presentation will show you overview of Kubernetes concept and benefit with Google Container Engineer (GKE)
GDG DevFest Bangkok 2017 at Ananda UrbanTech FYI Center on October 7, 2017
See Facebook Live here
https://www.facebook.com/gamez.always/videos/10204052467627401/
The Cloud Convergence: OpenStack and KubernetesIhor Dvoretskyi
The new cloud era brings us a lot of different technologies and products that can make process of development easier.
On the one hand we have OpenStack - an Open Source product that provides you a possibility to deploy your own cloud. On the other hand - Google, with its extensive experience operating a cloud using container technology, developed the open source Kubernetes orchestration system to manage containerized applications in a clustered environment.
This presentation will show you how to manage Containers easily using Kubernetes system on the OpenStack cloud environment.
This document provides an overview of Google Container Engine (now known as Google Kubernetes Engine or GKE). It begins with introducing Google Cloud and its services, then defines virtualization and containerization. It explains the need for container orchestration using Kubernetes and compares Kubernetes to GKE. Finally, it lists some resource references and concludes with contact information for the author.
CloudZone's Meetup at Google offices, 20.08.2018
Covering Google Cloud Platform Kubernetes Engine in Depth, including networking, compute, storage, monitoring & logging
Kolla Project provided an update on their Rocky release of containers and deployment tools for OpenStack clouds. Key points included 8 new Docker images added, Ceph bluestore support, ability to define resource limits per container, and over 125 code contributors from a globally distributed community during the Rocky cycle. They encourage joining the Kolla community on IRC, meetings, or by submitting bugs/reviews/patches.
In this deck from the Docker Workshop at ISC 2015, Andreas Schmidt from Cassini Consulting describes Docker in a Nutshell
"As the newest flavor of Linux Containers, Docker gained a lot of momentum in the last 12 months. With a very convenient and open API-driven architecture Docker is able to help decrease the complexity of operations and increase the productivity of computation. During the last two years Andreas, Christian, and Wolfgang gained a lot of experience with Docker and were thrilled by its possible impact early on. Andreas started working with Docker in mid-2013 and is interested in developing tools for solving Enterprise IT requirements on networking and security. In 2014 he held talks and workshops about these topics. Christian started using Docker in 2013 to virtualize a complete HPC cluster stack and since then held multiple talks about how Docker might impact HPC. Wolfgang and his partner Burak Yenier introduced Docker as a corner-stone of the UberCloud Marketplace to drastically improve and simplify access to HPC cloud resources. UberCloud just announced their new containers for computational fluid dynamics software like Fluent, STAR-CCM+ and OpenFOAM."
Watch the video presentation: http://wp.me/p3RLHQ-enP
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Deploying and managing container-based applications with OpenStack and Kubern...Ihor Dvoretskyi
Linux containers have recently taken the industry by storm, offering a lightweight, powerful, portable and upgradeable alternative to traditional app deployment on a host OS/VM.
Managing Docker containers on OpenStack VMs is possible today with Mirantis OpenStack, with the Murano Application Catalog radically simplifying the job of placing multiple application containers in an environment, installing apps in them from public resources such as Docker Hub, and deploying the environment on VMs for use. For managing containers at large scales, Mirantis and Google are now working jointly to enable Murano to configure and deploy Kubernetes — the Google-initiated open source project to build and refine cluster orchestration for containers on infrastructure.
In this presentation the core concepts of OpenStack, Docker and Kubernetes will be described, as well as demonstrated abilities to deploy containerized applications, managed by Kubernetes on above of OpenStack cloud.
Kubernetes & Google Kubernetes Engine (GKE)Akash Agrawal
This document discusses Kubernetes and Google Kubernetes Engine (GKE). It begins with an agenda that covers understanding Kubernetes, containers, and GKE. It then discusses traditional application deployment versus containerized deployment. It defines Kubernetes and containers, explaining how Kubernetes is a container orchestration system that handles scheduling, scaling, self-healing, and other functions. The document outlines Kubernetes concepts like clusters, pods, services, and controllers. It describes GKE as a managed Kubernetes service on Google Cloud that provides auto-scaling, integration with Google Cloud services, and other features.
Introduction to Kubernetes and Google Container Engine (GKE)Opsta
Kubernetes is an open-source system for automating
deployment, scaling, and management of containerized
applications. This presentation will show you overview of Kubernetes concept and benefit with Google Container Engineer (GKE)
GDG DevFest Bangkok 2017 at Ananda UrbanTech FYI Center on October 7, 2017
See Facebook Live here
https://www.facebook.com/gamez.always/videos/10204052467627401/
The Cloud Convergence: OpenStack and KubernetesIhor Dvoretskyi
The new cloud era brings us a lot of different technologies and products that can make process of development easier.
On the one hand we have OpenStack - an Open Source product that provides you a possibility to deploy your own cloud. On the other hand - Google, with its extensive experience operating a cloud using container technology, developed the open source Kubernetes orchestration system to manage containerized applications in a clustered environment.
This presentation will show you how to manage Containers easily using Kubernetes system on the OpenStack cloud environment.
This document provides an overview of Google Container Engine (now known as Google Kubernetes Engine or GKE). It begins with introducing Google Cloud and its services, then defines virtualization and containerization. It explains the need for container orchestration using Kubernetes and compares Kubernetes to GKE. Finally, it lists some resource references and concludes with contact information for the author.
CloudZone's Meetup at Google offices, 20.08.2018
Covering Google Cloud Platform Kubernetes Engine in Depth, including networking, compute, storage, monitoring & logging
Kolla Project provided an update on their Rocky release of containers and deployment tools for OpenStack clouds. Key points included 8 new Docker images added, Ceph bluestore support, ability to define resource limits per container, and over 125 code contributors from a globally distributed community during the Rocky cycle. They encourage joining the Kolla community on IRC, meetings, or by submitting bugs/reviews/patches.
In this deck from the Docker Workshop at ISC 2015, Andreas Schmidt from Cassini Consulting describes Docker in a Nutshell
"As the newest flavor of Linux Containers, Docker gained a lot of momentum in the last 12 months. With a very convenient and open API-driven architecture Docker is able to help decrease the complexity of operations and increase the productivity of computation. During the last two years Andreas, Christian, and Wolfgang gained a lot of experience with Docker and were thrilled by its possible impact early on. Andreas started working with Docker in mid-2013 and is interested in developing tools for solving Enterprise IT requirements on networking and security. In 2014 he held talks and workshops about these topics. Christian started using Docker in 2013 to virtualize a complete HPC cluster stack and since then held multiple talks about how Docker might impact HPC. Wolfgang and his partner Burak Yenier introduced Docker as a corner-stone of the UberCloud Marketplace to drastically improve and simplify access to HPC cloud resources. UberCloud just announced their new containers for computational fluid dynamics software like Fluent, STAR-CCM+ and OpenFOAM."
Watch the video presentation: http://wp.me/p3RLHQ-enP
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Deploying and managing container-based applications with OpenStack and Kubern...Ihor Dvoretskyi
Linux containers have recently taken the industry by storm, offering a lightweight, powerful, portable and upgradeable alternative to traditional app deployment on a host OS/VM.
Managing Docker containers on OpenStack VMs is possible today with Mirantis OpenStack, with the Murano Application Catalog radically simplifying the job of placing multiple application containers in an environment, installing apps in them from public resources such as Docker Hub, and deploying the environment on VMs for use. For managing containers at large scales, Mirantis and Google are now working jointly to enable Murano to configure and deploy Kubernetes — the Google-initiated open source project to build and refine cluster orchestration for containers on infrastructure.
In this presentation the core concepts of OpenStack, Docker and Kubernetes will be described, as well as demonstrated abilities to deploy containerized applications, managed by Kubernetes on above of OpenStack cloud.
This document discusses Arkena's migration from using Heroku to host their production video-on-demand platform to using Kubernetes. It outlines the key features they needed like high availability, scalability, log management, monitoring and network performance. It then describes how Kubernetes was able to provide these features through tools like replication controllers, autoscaling, daemonsets, and Influxdb/Heapster. The document details their migration steps and issues encountered. It concludes that the migration to Kubernetes on their own hardware was successful and reduced infrastructure costs.
This document discusses several open source projects from the Cloud Native Computing Foundation (CNCF). The CNCF aims to accelerate adoption of containers, microservices, and cloud native applications. It hosts projects like Containerd, Kubernetes, CoreDNS, Linkerd, Prometheus, Fluentd, OpenTracing, and others. Containerd and rkt are container runtimes. Kubernetes is an orchestration system. CNCI, CoreDNS, and Linkerd provide container networking, DNS/service discovery, and service mesh capabilities. Prometheus, Fluentd, OpenTracing provide monitoring, logging, and distributed tracing.
AKS - Azure Kubernetes Services - kubernetes meetup may 2018Jorge Arteiro
The document discusses Azure Kubernetes Services (AKS) and Visual Studio Connected Environments (VSCE). It provides an overview of AKS and how to create an AKS cluster. It then discusses the current CI/CD process and how VSCE can improve the developer experience by allowing developers to run and debug code directly in an AKS cluster. It outlines the main VSCE commands and provides an example end-to-end scenario of using VSCE to debug code in a Kubernetes cluster directly from Visual Studio Code.
Nebulaworks invited Bitnami's software engineer, Adnan Abdulhussein to present on, "The App Developer's Kubernetes Toolbox."
Details:
If you're developing applications on top of Kubernetes, you may be feeling overwhelmed with the vast number of development tools in the ecosystem at your disposal. Kubernetes is growing at a rapid pace, and it's becoming impossible to keep up with the latest and greatest development environments, debuggers, and build test and deployment tools.
Learn:
• The current state of development in Kubernetes
• Comparison of shared and local Kubernetes development environments
• Overview of different development tools in the ecosystem
• Which tools make sense in common scenarios
• How Bitnami uses Kubernetes as a development environment
In this video from the Docker Workshop at ISC 2015, Christian Kniep from QNIB Solutions shows how he uses Docker in his efforts to provide a HPC software stack in a box, encapsulating each layer in the HPC stack within a Linux Container.
Watch the video presentation: http://wp.me/p3RLHQ-eos
Learn more: http://qnib.org/about/
Kolla Project Update at OpenStack Summit Vancouver in May 2018. Kolla provides production-ready containers and deployment tools for OpenStack clouds. Key announcements included Kolla Queens being the 6th release with over 210 images, plans for Kolla Rocky including Ceph Luminous support and documentation overhaul, and kolla-ansible Queens features such as Prometheus monitoring and more rolling upgrade services. The globally distributed Kolla community was also discussed.
Kolla provides production-ready containers and deployment tools for operating OpenStack clouds. Kolla images are built using Dockerfiles and jinja2 templates and support both binary and source installations. Kolla-ansible supports all-in-one and multi-node deployments of OpenStack using Ansible playbooks and containers, configuring high availability, and containerizing all OpenStack components and dependencies.
Deploying containerized applications with KubeappsJanakiram MSV
Kubeapps is a Kubernetes dashboard that supercharges your Kubernetes cluster with simple browse and click deployment of apps in any format. Building on Bitnami’s contributions to leading open source projects, Kubeapps provides a complete application delivery environment that empowers users to launch, review and share applications.
MicroServices with Containers, Kubernetes & ServiceMeshAkash Agrawal
This document discusses microservices, containers, Kubernetes, Google Kubernetes Engine (GKE), and service meshes. It provides an overview of each technology and how they can be combined for a microservices architecture. Specifically, it explains how containers package applications and dependencies, Kubernetes provides orchestration of containers, GKE manages Kubernetes clusters on Google Cloud, and service meshes like Istio provide traffic management and visibility across microservices.
The document discusses CRI (Container Runtime Interface), OCI (Open Container Initiative), and CRI-O. CRI allows Kubernetes to support multiple container runtimes beyond just Docker, and defines the API. OCI sets standards for container formats and runtime. CRI-O is an implementation of CRI that uses OCI and is optimized for Kubernetes. It provides an alternative to using Docker directly with Kubernetes.
Helm - Application deployment management for KubernetesAlexei Ledenev
Use Helm to package and deploy a composed application to any Kubernetes cluster. Manage your releases easily over time and across multiple K8s clusters.
Presentation give at the Melbourne Docker Meetup on container related projects within OpenStack. Specifically looking at Project Magnum and Project Kolla and how they are leveraging technologies like Docker, Kubernetes and Atomic.
Concourse CI is a container-based continuous integration and delivery tool that uses a pipeline-first approach with YAML configuration files. Key features include being language agnostic, having configuration defined as code, and providing good visibility into workflows. It consists of a web UI, API, and workers that run tasks in isolated containers to execute jobs when dependent resources change.
Learn how to get Kubernetes up and running on Google Cloud Platform with GKE. Go over why you should use Kubernetes, and why using a managed service like GKE is important. After that we will go over how to deploy both simple and advanced applications to your cluster.
The Cloud Convergence: OpenStack and Kubernetes.Ihor Dvoretskyi
Murano is an OpenStack project that introduces an application catalog for publishing and deploying ready-to-use applications. It provides a way to abstract applications from underlying infrastructure resources and supports both Linux and Windows. Murano uses a dashboard, API, engine, and agents to deploy and manage applications. Kubernetes is an open source container orchestration tool that improves on Borg to manage containers across clusters. It uses components like pods, replication controllers, and services to deploy and scale containerized applications reliably. Together, Murano and Kubernetes provide application cataloging and deployment abilities while abstracting applications from infrastructure resources managed by OpenStack.
OpenShift In a Nutshell - Episode 02 - ArchitectureBehnam Loghmani
Episode 02 of "OpenShift in a nutshell" presentations in Iran OpenStack community group
This episode is about different layers, architecture, security in OpenShift.
I hope you will find it useful.
- Docker started as an internal project at dotcloud and was later open sourced in 2013. It allows for standardized packaging of software and isolates applications from each other while sharing the same OS kernel.
- Containers provide benefits over traditional virtual machines by providing an application-level rather than infrastructure-level construct, resulting in better performance and efficiency.
- Kubernetes is an open source container orchestration platform originally developed by Google that provides self-healing and automated scaling of containerized applications. It abstracts away underlying infrastructure to provide a uniform interface for workloads.
This document provides an overview and agenda for a deep dive into Kubernetes on Azure. It discusses the architecture of Azure Kubernetes Service (AKS) clusters, including node pools and integration with Azure Virtual Networks. It also covers using Helm for package management and deploying applications from source code to Kubernetes. The presenter provides their background and experience with Azure, Kubernetes, containers, and DevOps. They conclude by demonstrating Kubernetes concepts and use cases.
WSO2Con ASIA 2016: Revolutionizing WSO2 App Cloud with Kubernetes & DockerWSO2
Containerization is fast becoming the most efficient way to develop and deploy software solutions in the Cloud. Docker embraced this space by fulfilling the above requirements and attracting the industry within a very short period of time. Google solved container cluster management features by initiating the Kubernetes project over a decade of experience on running container technologies at scale.
WSO2 App Cloud enables you to deploy applications using these technologies. In this tutorial we will demonstrate how WSO2 products can be run on Kubernetes. We will also give a preview of the upcoming WSO2 App Cloud which is deeply integrated with Kubernetes for hosting applications.
This tutorial will include
An introduction to Docker and Kubernetes
Deploying WSO2 products on Kubernetes
Kubernetes as the runtime provider for WSO2 App Cloud
Intro to coreOS linux distributions and how it can be used to run docker based workloads in the cloud.
coreOS instances can be started in a cloudstack cloud, it makes use of cloud-init basics to
This document discusses Docker containers and CoreOS. It summarizes Sebastien Goasguen's background working with high performance computing, cloud computing, and various open source projects. It then discusses how Docker simplifies application deployment and portability using containers and image sharing. CoreOS is introduced as a Linux distribution optimized for Docker with tools like etcd and Fleet for managing distributed applications across containers. Kubernetes is presented as a system for orchestrating Docker containers across multiple hosts and providing services like replication and high availability.
This document discusses Arkena's migration from using Heroku to host their production video-on-demand platform to using Kubernetes. It outlines the key features they needed like high availability, scalability, log management, monitoring and network performance. It then describes how Kubernetes was able to provide these features through tools like replication controllers, autoscaling, daemonsets, and Influxdb/Heapster. The document details their migration steps and issues encountered. It concludes that the migration to Kubernetes on their own hardware was successful and reduced infrastructure costs.
This document discusses several open source projects from the Cloud Native Computing Foundation (CNCF). The CNCF aims to accelerate adoption of containers, microservices, and cloud native applications. It hosts projects like Containerd, Kubernetes, CoreDNS, Linkerd, Prometheus, Fluentd, OpenTracing, and others. Containerd and rkt are container runtimes. Kubernetes is an orchestration system. CNCI, CoreDNS, and Linkerd provide container networking, DNS/service discovery, and service mesh capabilities. Prometheus, Fluentd, OpenTracing provide monitoring, logging, and distributed tracing.
AKS - Azure Kubernetes Services - kubernetes meetup may 2018Jorge Arteiro
The document discusses Azure Kubernetes Services (AKS) and Visual Studio Connected Environments (VSCE). It provides an overview of AKS and how to create an AKS cluster. It then discusses the current CI/CD process and how VSCE can improve the developer experience by allowing developers to run and debug code directly in an AKS cluster. It outlines the main VSCE commands and provides an example end-to-end scenario of using VSCE to debug code in a Kubernetes cluster directly from Visual Studio Code.
Nebulaworks invited Bitnami's software engineer, Adnan Abdulhussein to present on, "The App Developer's Kubernetes Toolbox."
Details:
If you're developing applications on top of Kubernetes, you may be feeling overwhelmed with the vast number of development tools in the ecosystem at your disposal. Kubernetes is growing at a rapid pace, and it's becoming impossible to keep up with the latest and greatest development environments, debuggers, and build test and deployment tools.
Learn:
• The current state of development in Kubernetes
• Comparison of shared and local Kubernetes development environments
• Overview of different development tools in the ecosystem
• Which tools make sense in common scenarios
• How Bitnami uses Kubernetes as a development environment
In this video from the Docker Workshop at ISC 2015, Christian Kniep from QNIB Solutions shows how he uses Docker in his efforts to provide a HPC software stack in a box, encapsulating each layer in the HPC stack within a Linux Container.
Watch the video presentation: http://wp.me/p3RLHQ-eos
Learn more: http://qnib.org/about/
Kolla Project Update at OpenStack Summit Vancouver in May 2018. Kolla provides production-ready containers and deployment tools for OpenStack clouds. Key announcements included Kolla Queens being the 6th release with over 210 images, plans for Kolla Rocky including Ceph Luminous support and documentation overhaul, and kolla-ansible Queens features such as Prometheus monitoring and more rolling upgrade services. The globally distributed Kolla community was also discussed.
Kolla provides production-ready containers and deployment tools for operating OpenStack clouds. Kolla images are built using Dockerfiles and jinja2 templates and support both binary and source installations. Kolla-ansible supports all-in-one and multi-node deployments of OpenStack using Ansible playbooks and containers, configuring high availability, and containerizing all OpenStack components and dependencies.
Deploying containerized applications with KubeappsJanakiram MSV
Kubeapps is a Kubernetes dashboard that supercharges your Kubernetes cluster with simple browse and click deployment of apps in any format. Building on Bitnami’s contributions to leading open source projects, Kubeapps provides a complete application delivery environment that empowers users to launch, review and share applications.
MicroServices with Containers, Kubernetes & ServiceMeshAkash Agrawal
This document discusses microservices, containers, Kubernetes, Google Kubernetes Engine (GKE), and service meshes. It provides an overview of each technology and how they can be combined for a microservices architecture. Specifically, it explains how containers package applications and dependencies, Kubernetes provides orchestration of containers, GKE manages Kubernetes clusters on Google Cloud, and service meshes like Istio provide traffic management and visibility across microservices.
The document discusses CRI (Container Runtime Interface), OCI (Open Container Initiative), and CRI-O. CRI allows Kubernetes to support multiple container runtimes beyond just Docker, and defines the API. OCI sets standards for container formats and runtime. CRI-O is an implementation of CRI that uses OCI and is optimized for Kubernetes. It provides an alternative to using Docker directly with Kubernetes.
Helm - Application deployment management for KubernetesAlexei Ledenev
Use Helm to package and deploy a composed application to any Kubernetes cluster. Manage your releases easily over time and across multiple K8s clusters.
Presentation give at the Melbourne Docker Meetup on container related projects within OpenStack. Specifically looking at Project Magnum and Project Kolla and how they are leveraging technologies like Docker, Kubernetes and Atomic.
Concourse CI is a container-based continuous integration and delivery tool that uses a pipeline-first approach with YAML configuration files. Key features include being language agnostic, having configuration defined as code, and providing good visibility into workflows. It consists of a web UI, API, and workers that run tasks in isolated containers to execute jobs when dependent resources change.
Learn how to get Kubernetes up and running on Google Cloud Platform with GKE. Go over why you should use Kubernetes, and why using a managed service like GKE is important. After that we will go over how to deploy both simple and advanced applications to your cluster.
The Cloud Convergence: OpenStack and Kubernetes.Ihor Dvoretskyi
Murano is an OpenStack project that introduces an application catalog for publishing and deploying ready-to-use applications. It provides a way to abstract applications from underlying infrastructure resources and supports both Linux and Windows. Murano uses a dashboard, API, engine, and agents to deploy and manage applications. Kubernetes is an open source container orchestration tool that improves on Borg to manage containers across clusters. It uses components like pods, replication controllers, and services to deploy and scale containerized applications reliably. Together, Murano and Kubernetes provide application cataloging and deployment abilities while abstracting applications from infrastructure resources managed by OpenStack.
OpenShift In a Nutshell - Episode 02 - ArchitectureBehnam Loghmani
Episode 02 of "OpenShift in a nutshell" presentations in Iran OpenStack community group
This episode is about different layers, architecture, security in OpenShift.
I hope you will find it useful.
- Docker started as an internal project at dotcloud and was later open sourced in 2013. It allows for standardized packaging of software and isolates applications from each other while sharing the same OS kernel.
- Containers provide benefits over traditional virtual machines by providing an application-level rather than infrastructure-level construct, resulting in better performance and efficiency.
- Kubernetes is an open source container orchestration platform originally developed by Google that provides self-healing and automated scaling of containerized applications. It abstracts away underlying infrastructure to provide a uniform interface for workloads.
This document provides an overview and agenda for a deep dive into Kubernetes on Azure. It discusses the architecture of Azure Kubernetes Service (AKS) clusters, including node pools and integration with Azure Virtual Networks. It also covers using Helm for package management and deploying applications from source code to Kubernetes. The presenter provides their background and experience with Azure, Kubernetes, containers, and DevOps. They conclude by demonstrating Kubernetes concepts and use cases.
WSO2Con ASIA 2016: Revolutionizing WSO2 App Cloud with Kubernetes & DockerWSO2
Containerization is fast becoming the most efficient way to develop and deploy software solutions in the Cloud. Docker embraced this space by fulfilling the above requirements and attracting the industry within a very short period of time. Google solved container cluster management features by initiating the Kubernetes project over a decade of experience on running container technologies at scale.
WSO2 App Cloud enables you to deploy applications using these technologies. In this tutorial we will demonstrate how WSO2 products can be run on Kubernetes. We will also give a preview of the upcoming WSO2 App Cloud which is deeply integrated with Kubernetes for hosting applications.
This tutorial will include
An introduction to Docker and Kubernetes
Deploying WSO2 products on Kubernetes
Kubernetes as the runtime provider for WSO2 App Cloud
Intro to coreOS linux distributions and how it can be used to run docker based workloads in the cloud.
coreOS instances can be started in a cloudstack cloud, it makes use of cloud-init basics to
This document discusses Docker containers and CoreOS. It summarizes Sebastien Goasguen's background working with high performance computing, cloud computing, and various open source projects. It then discusses how Docker simplifies application deployment and portability using containers and image sharing. CoreOS is introduced as a Linux distribution optimized for Docker with tools like etcd and Fleet for managing distributed applications across containers. Kubernetes is presented as a system for orchestrating Docker containers across multiple hosts and providing services like replication and high availability.
This document provides an overview of Docker containers and their benefits. It discusses how containers provide isolation and portability for applications compared to virtual machines. The document outlines the history and growth of container technologies like Docker. It then covers how to build, ship, and run containerized applications on platforms like Docker, OpenShift, and Kubernetes. Use cases discussed include application development, modernization, and cloud migrations.
Adopting Docker for production applications and services used to be hard. You had to hand-roll a lot of the underlying infrastructure and write lots of custom code for service discovery, load balancing, orchestration, desired state, etc. Today, with the rise of open source container orchestration platforms and cloud-native offerings, it's a lot easier to get up and running.
Github repo for demo: https://github.com/elabor8/dockertalk
This document provides an introduction to Docker, including why it was created, how it works, and its growing ecosystem. Docker allows applications to be packaged with all their dependencies and run consistently across any Linux server by using lightweight virtual containers rather than full virtual machines. It solves the problem of differences between development, testing, and production environments. The document outlines the technical details and advantages of Docker, examples of how companies are using it, and the growing support in tools and platforms.
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.
This document provides an introduction and overview of Docker, including its rapid growth and adoption, key benefits for developers and operations teams, technical underpinnings, ecosystem support, use cases, and future plans. Docker provides a way to package applications into lightweight containers that are portable and can run on any infrastructure. It solves issues around dependency management and consistency across environments.
OpenStack, Containers, and Docker: The Future of Application Deployment
Twenty years ago, developers built static applications on well-defined stacks that ran on proprietary, monolithic hardware. Developers today want freedom to build applications using their choice of services and stacks and, ideally, want to be able to run those applications on any available hardware. Of course, this raises questions about service interaction, the practicality of migrating applications across environments, and the challenges of managing unlimited combinations of services and hardware environment.
By promoting an opensource approach to flexible and inter-operable infrastructure, OpenStack goes a long way towards achieving this vision of the future. This talk discusses the application and platform side of the equation, and the interplay between OpenStack, Container technology (e.g. LXC), and the opensource Docker.io project. Docker.io enables any application and its dependencies to be deployed as lightweight containers that run consistently virtually anywhere. The same containerized application that runs on a developer's laptop can run consistently on a bare metal server, an OpenStack cluster, a Rackspace cloud, a VM,etc. While providing isolation and compatibility, containers have significant size, performance, and deployment advantages over traditional VMs.
Recently, the community created an integration between Docker and OpenStack Nova, opening up exciting possibilities for web scale application deployment, continuous integration and deployment, private PaaS, and hybrid cloud. This session will give an introduction to Docker and containers in the context of OpenStack, and will then demonstrate cross-environment deployment of applications.
Presentation given at Open Source Summit Japan 2016 about the state of the cloud native technology (Cloud Native Computing Foundation) and the standardization of container technology (Open Container Initiative)
Presentation about docker from Java User Group in Ostrava CZ (23th of November 2015). Presented by Martin Damovsky (@damovsky).
Demos are available at https://github.com/damovsky/jug-ostrava-docker
Karthik Gaekwad presented on containers and microservices. He discussed the evolution of DevOps and how containers and microservices fit within the DevOps paradigm by allowing for collaboration between development and operations teams. He defined containers, microservices, and common containerization concepts. Gaekwad also provided examples of how organizations are using containers for standardization, continuous integration and delivery pipelines, and hosting legacy applications.
This document discusses using Docker containers with OpenStack for application deployment. It begins with an introduction to Docker, describing its growth in usage and integration with various tools. Docker is presented as a solution to issues around deploying applications across different environments and hardware by providing lightweight, portable containers that package code and dependencies. The document demonstrates how Docker can be used with OpenStack through a new hypervisor that allows OpenStack to deploy and manage Linux containers, enabling control of Docker through the OpenStack dashboard.
This document discusses using Docker containers with OpenStack for application deployment. It begins with an introduction to Docker, describing its growth in usage and integration with various tools. Docker is presented as a solution to issues around deploying applications across different environments and hardware by providing lightweight, portable containers that package code and dependencies. The document demonstrates how Docker can be used with OpenStack through a new hypervisor that allows OpenStack to deploy and manage Linux containers, enabling control of Docker through the OpenStack dashboard. It outlines some benefits of Docker combined with OpenStack and the current state of the related OpenStack project.
This document discusses Docker, an open source engine that allows developers to easily create lightweight, portable containers from applications. Docker makes it easy to deploy applications across multiple environments, eliminating compatibility issues. It works by using Linux containers (LXC) and features like namespaces and control groups to isolate resources for each container. Docker provides a simple API and workflow to build images for each application service and link them together across environments like development, testing and production.
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.
This document provides an overview of Docker, containers, and related tools. It introduces Docker Inc. as the company that started the "hype" around Docker by open sourcing the Docker codebase in 2013. Containers are explained as a collection of kernel features like namespaces and cgroups that isolate processes. Popular container runtimes include Docker Engine, rkt, and App Container. Images are standardized read-only filesystems used to deploy applications in containers. Tools like Docker Machine, Docker Compose, Docker Swarm, and Kitematic help provision and manage containers. A voting application demo is shown to illustrate Docker in action.
This document discusses Oracle Cloud Infrastructure Container Engine for Kubernetes (OKE). It provides background on the speaker Jon Reeve and his experience with containers. It describes Oracle's acquisition of StackEngine, a Docker management company. It outlines the phases of container adoption and positions Docker and Kubernetes as popular tools. It provides an overview of OCI and OKE, highlighting OKE's developer-friendly and enterprise-ready features like one-click clusters, integrated plugins, and team-based access controls. Pricing is discussed where OKE and OCIR consume underlying IaaS resources at no additional cost.
This is an Introductory presentation about Docker and Openstack, where they come together. This also give details about community projects in this area (Docker + Openstack) and more details about Nova-Docker. It assumes background of both Dockers and Openstack in general.
This document provides an agenda and overview for a hands-on workshop on container and Docker technologies. It begins with a brief introduction to containers and Docker, then covers installing and managing Docker containers using tools like Portainer and OpenShift Origin. It also discusses building simple Docker applications and has sections on container and Docker concepts like images, containers, registries, advantages, and the Docker ecosystem. The document aims to explain containers and Docker for both developers and IT administrators.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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15. The right questions
What can we exclude from the images?
Is there a better base image to use?
What can we avoid repeating?
Can we move complexity to/from build time?
Can we reduce layers in our Dockerfile?