This is a workshop done on codemonsters.pro technological conference.
It illustrates how you can create and deal with vm and container virtual infrastructures and combine them in a useful way.
The Paris OpenStack Summit had over 5000 attendees from 876 companies representing 62 countries. Major themes included the growing community with new platinum members like Intel and SAP, increased interest in Docker and NFV, and Ceph emerging as a unified storage solution. Projects are focusing on usability, debugability, and scalability through efforts like refactoring Nova scheduler and Horizon, and enhancing HEAT.
DockerCon SF 2015: Networking BreakoutDocker, Inc.
This document provides an overview of Docker's new networking capabilities through libnetwork. It introduces libnetwork, which provides a pluggable driver-based networking stack for containers. Libnetwork implements the Container Network Model and provides APIs for creating and managing networks and endpoints. It supports multiple networking drivers like bridge and overlay. The goals are to make networking and services first-class objects in Docker and span networks across multiple hosts. The presentation encourages trying the new networking features in Docker experimental and contributing to libnetwork.
Kolla allows running OpenStack in containers using Docker and Ansible for simplified and repeatable deployments. It builds container images for OpenStack components that can be customized and then deployed through Ansible playbooks. Key features include opinionated out-of-the-box configurations, customizability, and integration with tools like Docker, Kubernetes, and ELK for logging. However, caution is advised as Docker, Kolla and Kubernetes are new technologies with active development.
This document discusses the state of Linux containers in OpenStack. It introduces Docker and how it can be used with OpenStack components like Heat and Nova. It also describes Project Kolla, which aims to deploy OpenStack services as containers to improve manageability and upgrades. Additionally, it covers Project Magnum, which provides a Containers as a Service (CaaS) API on OpenStack by integrating components like Heat, Kubernetes, Docker, and Flannel. The document ends with a question and answer section.
DockerCon SF 2015: Orchestration for SysadminsDocker, Inc.
This document summarizes a presentation about orchestrating containers using Docker Swarm and integrating it with Mesos. It discusses setting up a Swarm cluster, the Swarm scheduler, running Swarm on Mesos, and using Docker Machine to provision Swarm clusters on various providers. It also covers Swarm manager replication for fault tolerance and demos of these features.
Kolla is a project that uses Docker containers to deploy OpenStack cloud software and services. It addresses issues with separating and upgrading OpenStack components by providing Docker images for common services like Nova, Glance, Cinder and more. Kolla utilizes technologies like Docker, Ansible and Jinja2 templates to generate configuration files and deploy containerized OpenStack. It aims to standardize OpenStack deployments and simplify upgrading components.
DockerCon 2015: Docker Engine Breakout SessionDocker, Inc.
The document summarizes a Docker Engine breakout session that covered:
- An overview of Docker Engine, including key facts about its contributors and development.
- New features in Docker Engine 1.7.0, including an experimental binary, a new networking model, and improved network performance.
- Upcoming priorities like better tooling, security enhancements, and improved management of networks and volumes.
A demo was also planned to showcase Docker Engine capabilities.
OpenStack is an open-source cloud computing platform that was launched in 2010. It provides services for managing compute, storage, and networking resources in a data center. The core OpenStack services are Nova (compute), Swift (object storage), and Glance (image service). OpenStack uses a RESTful API and supports many hypervisors, operating systems, and storage backends. It allows for public and private cloud deployments and supports common industry standards.
OpenStack is an open source cloud computing platform that consists of a series of related projects that control large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface. It is developed as an open source project by an international community of developers and corporate sponsors and supports both private and public cloud deployments. Major components include compute (Nova), object storage (Swift), image service (Glance), networking (Quantum), and an identity service (Keystone).
DockerCon SF 2015: Networking BreakoutDocker, Inc.
This document discusses Docker's new libnetwork project for networking containers. It begins with an agenda covering an introduction, networking deep dive, ecosystem, and Q&A. The introduction explains why networking is important for distributed applications and microservices. Libnetwork aims to make networking a first class object and provide pluggable networking stacks that span multiple hosts and platforms. A networking deep dive explains libnetwork concepts like the Container Network Model, drivers, and REST API. Key points are that libnetwork is now in Docker, allows creating networks via CLI, and supports multi-host networking and services. The document concludes by discussing the networking ecosystem and calling the audience to action to try the experimental Docker channel and contribute to libnetwork.
Openstack is an open source cloud computing platform that consists of several independent components that work together to provide infrastructure as a service capabilities. It allows users to provision compute, storage, and networking resources on demand in a self-service manner similar to public cloud providers like AWS. Some key components include Nova for compute, Glance for images, Swift for object storage, Cinder for block storage, Neutron for networking, and Keystone for identity services. Openstack can be used to build public, private, or hybrid clouds and supports a variety of use cases and workloads.
Unikernels and docker from revolution to evolution — unikernels and docker ...Docker, Inc.
Unikernels are a growing technology that augment existing virtual machine and container deployments with compact, single-purpose appliances. Two main flavors exist: clean-slate unikernels, which are often language specific, such as MirageOS (OCaml) and HaLVM (Haskell), and more evolutionary unikernels that leverage existing OS technology recreated in library form, notably Rump Kernel used to build Rumprun unikernels.
To date, these have been something of a specialist’s game: promising technology that requires considerable effort and expertise to actually deploy. After a brief introduction for newcomers to unikernels, Mindy will demonstrate the great strides that have been taken recently to integrate unikernels with existing deployments. Specifically, we will show various ways in which Rumprun and MirageOS unikernels can be used to deploy a LAMP stack, all managed using the popular Docker toolchain (Docker build, Docker run, and the Docker Hub). The result is unikernels that can be used to augment and evolve existing Linux container- and VM-based deployments, one microservice at a time. We no longer need a revolution—welcome to the microservice evolution!
Open stack in action enovance-quantum in actioneNovance
This document summarizes a presentation about Quantum, the OpenStack networking project. It introduces the speakers and their backgrounds working on OpenStack. It describes Quantum's role in providing networking for IaaS components like Nova, Swift, Cinder, and its transformation of clouds into SDN with the right plugins. Common Quantum plugins are presented along with their supported networking features. The document outlines limitations in the Folsom release and expected improvements in Grizzly, and notes early production uses of Quantum. It concludes by discussing the future of Quantum and an upcoming OpenStack workshop.
OpenStack Swift is an open source, scalable object storage system for storing unstructured data. It was initially developed by Rackspace in 2010 and is now developed by many contributors including Rackspace, HP, eNovance, and Swiftstack. OpenStack Swift uses a REST API and has features like static website hosting, quotas, geo-replication, and automatic object expiration. It sees production use by companies like Wikipedia, Rackspace, and Disney for storing large amounts of unstructured data.
Build cloud like Rackspace with OpenStack AnsibleJirayut Nimsaeng
Build cloud like Rackspace with OpenStack Ansible Workshop in 2nd Cloud OpenStack-Container Conference and Workshop 2016 at Grand Postal Building, Bangrak, Bangkok on September 22-23, 2016
The document provides an agenda and overview of a session on hacking Apache CloudStack. The agenda includes introductions, a session on introducing CloudStack, and a hands-on session with DevCloud. The overview discusses what CloudStack is, how it works as an orchestration platform for IAAS clouds, its architecture and core components, and how users can consume and manage resources through it.
This document provides an overview of OpenStack, an open source cloud computing platform. It discusses the history and origins of OpenStack at NASA and Rackspace, describes some of the core components including Nova (compute), Swift (object storage), Glance (image service), Cinder (block storage), Quantum/Neutron (networking), Keystone (identity), and Dashboard (web UI). It also outlines some key features of these components such as distributed architecture, API access, security groups, floating IPs, and pluggable networking backends. Finally, it encourages contributions to the OpenStack community through coding, documentation, translation, and other assistance.
- Docker can be integrated with CloudStack in several ways, including running Docker in CloudStack virtual machine guests, packaging CloudStack as Docker containers, and using Docker orchestrators to manage containers.
- CloudStack could potentially be re-architected to run its components in Docker containers and use Docker networking for isolation, with an orchestrator like Mesos or Kubernetes managing the CloudStack application.
- There are open questions around whether CloudStack or other orchestrators should schedule virtual machines or containers as the primary compute resource in a private cloud data center.
This document outlines an agenda for a DevNet workshop on using OpenStack with OpenDaylight. The agenda includes installing OpenStack, installing OpenDaylight, configuring OpenStack to use OpenDaylight, verifying the system works, troubleshooting, and a Q&A session. OpenDaylight is an open source SDN controller that can provide advanced networking capabilities for OpenStack deployments by managing network endpoints and traffic through plugins like Neutron/ML2. Both projects are complex to install but integrating them can enable significant benefits for advanced networking in OpenStack clouds.
1. The document discusses using OpenStack for a 4G core network, including performance issues and solutions when virtualizing the EPC network functions using OpenStack.
2. Key performance issues identified include high CPU usage, competing for CPU resources, latency, throughput, and packet loss. Solutions proposed are CPU pinning, NUMA awareness, hugepages, DPDK, SR-IOV, and offloading processing to smart NICs.
3. Going forward, the next steps discussed are using OVS-DPDK for offloading, SDN, containers, and cloud architectures for 5G.
OpenStack Best Practices and Considerations - terasky tech dayArthur Berezin
- Arthur Berezin presented on best practices for deploying enterprise-grade OpenStack implementations. The presentation covered OpenStack architecture, layout considerations including high availability, and best practices for compute, storage, and networking deployments. It provided guidance on choosing backend drivers, overcommitting resources, and networking designs.
Docker Online Meetup #22: Docker NetworkingDocker, Inc.
Building on top of his talk at DockerCon 2015, Jana Radhakrishnan, Lead Software Engineer at Docker, does a deep dive into Docker Networking with additional demos and insights on the product roadmap.
An in-depth look into Docker Networking. We will cover all the networking features natively available in Docker and take you through hands-on exercises designed to help you learn the skills you need to deploy and maintain Docker containers in your existing network environment.
Led by Docker Networking Pros:
Madhu Venugopal
Jana Radhakrishnan
Kolla is a project that uses Docker containers to deploy OpenStack cloud software and services. It addresses issues with separating and upgrading OpenStack components by providing Docker images for common services like Nova, Glance, Cinder and more. Kolla utilizes technologies like Docker, Ansible and Jinja2 templates to generate configuration files and deploy containerized OpenStack. It aims to standardize OpenStack deployments and simplify upgrading components.
DockerCon 2015: Docker Engine Breakout SessionDocker, Inc.
The document summarizes a Docker Engine breakout session that covered:
- An overview of Docker Engine, including key facts about its contributors and development.
- New features in Docker Engine 1.7.0, including an experimental binary, a new networking model, and improved network performance.
- Upcoming priorities like better tooling, security enhancements, and improved management of networks and volumes.
A demo was also planned to showcase Docker Engine capabilities.
OpenStack is an open-source cloud computing platform that was launched in 2010. It provides services for managing compute, storage, and networking resources in a data center. The core OpenStack services are Nova (compute), Swift (object storage), and Glance (image service). OpenStack uses a RESTful API and supports many hypervisors, operating systems, and storage backends. It allows for public and private cloud deployments and supports common industry standards.
OpenStack is an open source cloud computing platform that consists of a series of related projects that control large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface. It is developed as an open source project by an international community of developers and corporate sponsors and supports both private and public cloud deployments. Major components include compute (Nova), object storage (Swift), image service (Glance), networking (Quantum), and an identity service (Keystone).
DockerCon SF 2015: Networking BreakoutDocker, Inc.
This document discusses Docker's new libnetwork project for networking containers. It begins with an agenda covering an introduction, networking deep dive, ecosystem, and Q&A. The introduction explains why networking is important for distributed applications and microservices. Libnetwork aims to make networking a first class object and provide pluggable networking stacks that span multiple hosts and platforms. A networking deep dive explains libnetwork concepts like the Container Network Model, drivers, and REST API. Key points are that libnetwork is now in Docker, allows creating networks via CLI, and supports multi-host networking and services. The document concludes by discussing the networking ecosystem and calling the audience to action to try the experimental Docker channel and contribute to libnetwork.
Openstack is an open source cloud computing platform that consists of several independent components that work together to provide infrastructure as a service capabilities. It allows users to provision compute, storage, and networking resources on demand in a self-service manner similar to public cloud providers like AWS. Some key components include Nova for compute, Glance for images, Swift for object storage, Cinder for block storage, Neutron for networking, and Keystone for identity services. Openstack can be used to build public, private, or hybrid clouds and supports a variety of use cases and workloads.
Unikernels and docker from revolution to evolution — unikernels and docker ...Docker, Inc.
Unikernels are a growing technology that augment existing virtual machine and container deployments with compact, single-purpose appliances. Two main flavors exist: clean-slate unikernels, which are often language specific, such as MirageOS (OCaml) and HaLVM (Haskell), and more evolutionary unikernels that leverage existing OS technology recreated in library form, notably Rump Kernel used to build Rumprun unikernels.
To date, these have been something of a specialist’s game: promising technology that requires considerable effort and expertise to actually deploy. After a brief introduction for newcomers to unikernels, Mindy will demonstrate the great strides that have been taken recently to integrate unikernels with existing deployments. Specifically, we will show various ways in which Rumprun and MirageOS unikernels can be used to deploy a LAMP stack, all managed using the popular Docker toolchain (Docker build, Docker run, and the Docker Hub). The result is unikernels that can be used to augment and evolve existing Linux container- and VM-based deployments, one microservice at a time. We no longer need a revolution—welcome to the microservice evolution!
Open stack in action enovance-quantum in actioneNovance
This document summarizes a presentation about Quantum, the OpenStack networking project. It introduces the speakers and their backgrounds working on OpenStack. It describes Quantum's role in providing networking for IaaS components like Nova, Swift, Cinder, and its transformation of clouds into SDN with the right plugins. Common Quantum plugins are presented along with their supported networking features. The document outlines limitations in the Folsom release and expected improvements in Grizzly, and notes early production uses of Quantum. It concludes by discussing the future of Quantum and an upcoming OpenStack workshop.
OpenStack Swift is an open source, scalable object storage system for storing unstructured data. It was initially developed by Rackspace in 2010 and is now developed by many contributors including Rackspace, HP, eNovance, and Swiftstack. OpenStack Swift uses a REST API and has features like static website hosting, quotas, geo-replication, and automatic object expiration. It sees production use by companies like Wikipedia, Rackspace, and Disney for storing large amounts of unstructured data.
Build cloud like Rackspace with OpenStack AnsibleJirayut Nimsaeng
Build cloud like Rackspace with OpenStack Ansible Workshop in 2nd Cloud OpenStack-Container Conference and Workshop 2016 at Grand Postal Building, Bangrak, Bangkok on September 22-23, 2016
The document provides an agenda and overview of a session on hacking Apache CloudStack. The agenda includes introductions, a session on introducing CloudStack, and a hands-on session with DevCloud. The overview discusses what CloudStack is, how it works as an orchestration platform for IAAS clouds, its architecture and core components, and how users can consume and manage resources through it.
This document provides an overview of OpenStack, an open source cloud computing platform. It discusses the history and origins of OpenStack at NASA and Rackspace, describes some of the core components including Nova (compute), Swift (object storage), Glance (image service), Cinder (block storage), Quantum/Neutron (networking), Keystone (identity), and Dashboard (web UI). It also outlines some key features of these components such as distributed architecture, API access, security groups, floating IPs, and pluggable networking backends. Finally, it encourages contributions to the OpenStack community through coding, documentation, translation, and other assistance.
- Docker can be integrated with CloudStack in several ways, including running Docker in CloudStack virtual machine guests, packaging CloudStack as Docker containers, and using Docker orchestrators to manage containers.
- CloudStack could potentially be re-architected to run its components in Docker containers and use Docker networking for isolation, with an orchestrator like Mesos or Kubernetes managing the CloudStack application.
- There are open questions around whether CloudStack or other orchestrators should schedule virtual machines or containers as the primary compute resource in a private cloud data center.
This document outlines an agenda for a DevNet workshop on using OpenStack with OpenDaylight. The agenda includes installing OpenStack, installing OpenDaylight, configuring OpenStack to use OpenDaylight, verifying the system works, troubleshooting, and a Q&A session. OpenDaylight is an open source SDN controller that can provide advanced networking capabilities for OpenStack deployments by managing network endpoints and traffic through plugins like Neutron/ML2. Both projects are complex to install but integrating them can enable significant benefits for advanced networking in OpenStack clouds.
1. The document discusses using OpenStack for a 4G core network, including performance issues and solutions when virtualizing the EPC network functions using OpenStack.
2. Key performance issues identified include high CPU usage, competing for CPU resources, latency, throughput, and packet loss. Solutions proposed are CPU pinning, NUMA awareness, hugepages, DPDK, SR-IOV, and offloading processing to smart NICs.
3. Going forward, the next steps discussed are using OVS-DPDK for offloading, SDN, containers, and cloud architectures for 5G.
OpenStack Best Practices and Considerations - terasky tech dayArthur Berezin
- Arthur Berezin presented on best practices for deploying enterprise-grade OpenStack implementations. The presentation covered OpenStack architecture, layout considerations including high availability, and best practices for compute, storage, and networking deployments. It provided guidance on choosing backend drivers, overcommitting resources, and networking designs.
Docker Online Meetup #22: Docker NetworkingDocker, Inc.
Building on top of his talk at DockerCon 2015, Jana Radhakrishnan, Lead Software Engineer at Docker, does a deep dive into Docker Networking with additional demos and insights on the product roadmap.
An in-depth look into Docker Networking. We will cover all the networking features natively available in Docker and take you through hands-on exercises designed to help you learn the skills you need to deploy and maintain Docker containers in your existing network environment.
Led by Docker Networking Pros:
Madhu Venugopal
Jana Radhakrishnan
Docker networking was previously handled by Docker Engine and libcontainer, but is now managed by libnetwork, a standalone library. Libnetwork aims to modularize networking logic and provide a pluggable, driver-based model. It defines components like networks, endpoints, and sandboxes and supports multiple active drivers. Common drivers include the bridge and overlay drivers.
Docker networking was previously handled by Docker Engine and libcontainer, but is now managed by libnetwork, a standalone library. Libnetwork aims to modularize networking logic and provide a pluggable driver-based model. It defines components like networks, endpoints, and sandboxes and provides RESTful APIs. Common drivers include bridge and overlay drivers.
This document provides an overview and agenda for a two day Docker training course. Day one covers Docker introduction, installation, working with containers and images, building images with Dockerfiles, OpenStack integration, and Kubernetes introduction. Day two covers Docker cluster, Kubernetes in more depth, Docker networking, DockerHub, Docker use cases, and developing platforms with Docker. The document also includes sections on Docker basics, proposed cluster implementation strategies, and Kubernetes concepts and design principles.
Docker Networking in OpenStack: What you need to know nowPLUMgrid
Learn how you bring secure, scalable, available and open software defined networking to Docker containers managed by OpenStack. This session will cover how Docker virtual networks function, how to plumb them into the virtual network fabric and reliably assign information such as IP addresses, virtual interfaces and more. In addition, this session will also cover how to securely wrap Docker containers using security policies and encryption.
Building a sdn solution for the deployment of web application stacks in dockerJorge Juan Mendoza
This document discusses building a SDN solution for deploying web application stacks in Docker containers. It proposes developing a wSDN network plugin driver for Docker's libnetwork that implements the Docker plugin API and network driver protocol. This would allow wSDN to manage container networking and provide features like multi-host networking, IP address management, and tenant isolation across multiple data centers. It also discusses Docker's existing networking limitations and outlines requirements for a SDN solution to address Docker's needs for large web application deployments in a multi-tenant environment.
Overlay/Underlay - Betting on Container NetworkingLee Calcote
Presented at Rackspace Austin (downtown) on July 27th, 2016.
An inherent to component to any distributed application, networking is one of the most complicated and expansive infrastructure technologies. Container networking needs to be developer-friendly. Application-driven and portable. With developers busily adopting container technologies, the time has come for network engineers and operators to prepare for the unique challenges brought on by cloud native applications. What container networking specifications bring to the table and how to leverage them.
This document provides an overview of Docker concepts including containers, images, Dockerfiles, and the Docker architecture. It defines key Docker terms like images, containers, and registries. It explains how Docker utilizes Linux kernel features like namespaces and control groups to isolate containers. It demonstrates how to run a simple Docker container and view logs. It also describes the anatomy of a Dockerfile and common Dockerfile instructions like FROM, RUN, COPY, ENV etc. Finally, it illustrates how Docker works by interacting with the Docker daemon, client and Docker Hub registry to build, run and distribute container images.
Docker Online Meetup #29: Docker Networking is Now GA Docker, Inc.
At DockerCon in June, we first announced experimental support for Docker Networking. As of the 1.9 release of Docker, we are excited to announce that Docker Networking is generally available to define how your Dockerized apps connect together.
Docker Networking is a feature of Docker Engine that allows you to create virtual networks and attach containers to them so you can create the network topology that is right for your application. The networked containers can even span multiple hosts, so you don’t have to worry about what host your container lands on. They can seamlessly communicate with each other wherever they are - thus enabling true distributed applications.
And Networking is pluggable, so you can use any third-party networking driver to power your networks without having to make any changes to your application.
Read more: http://blog.docker.com/2015/11/docker-multi-host-networking-ga/
The slides give the brief idea of the current situation of the container orchestration integration in OpenStack and how OpenStack Kuryr can improve the situation.
This document discusses container orchestration integration between OpenStack Kuryr and Apache Mesos. It begins with introductions to Docker and Mesos, describing how they are used to distribute workloads across container hosts. It then reviews the history of networking in Docker and Mesos, how libnetwork was developed for Docker networking, and how Mesos uses IPAM and network isolator modules. Finally, it describes how OpenStack Kuryr acts as a translator between Neutron and libnetwork, allowing Neutron networking APIs to manage containers running on Mesos.
This document provides an overview of Kubernetes networking concepts including:
- Pods share the same network namespace so containers within a Pod can communicate via loopback, while different Pods each get their own IP address.
- Services provide load-balancing to Pods through labels and selectors, with a single IP/port exposed for a set of Pods. This includes options for east-west (Pod-to-Pod) and north-south (external access) traffic.
- Ingress controllers provide layer 7 routing and load-balancing for external access to Services within a cluster.
- Network policies allow restricting traffic to Pods using selectors and rules for ingress sources and egress destinations.
This document discusses CNI and the Linen CNI plugin. It begins with an introduction to CNI and how it allows plugins to configure network interfaces in containers. It then discusses the Linen CNI plugin, which is designed for overlay networks and uses Open vSwitch. It explains how Linen CNI works with Kubernetes and provides packet processing between nodes. The document also compares Linen CNI to other overlay networking solutions like OVN-Kubernetes.
Fixing Docker networking - Milos Gajdos at #DOXLONOutlyer
This document introduces DOCKNET, a Golang package for advanced Linux networking configuration. It aims to provide functionality that Docker lacks for configuring interfaces like VLANs and MAC VLANs. The package fixes issues with existing Golang Netlink implementations and allows configuration of container networks beyond what Docker supports currently. It is still in development but aims to be released within a couple weeks. The presentation includes a live demo and discusses using DOCKNET to add interfaces to Docker containers.
Docker Networking - Current Status and goals of Experimental NetworkingSreenivas Makam
This slidedeck covers overview of Docker Networking as of Docker 1.8, drawbacks of current Docker Networking and goals of Docker Experimental Networking.
Secure Your Containers: What Network Admins Should Know When Moving Into Prod...Cynthia Thomas
This session offers techniques for securing Docker containers and hosts using open source network virtualization technologies to implement microsegmentation. Come learn real tips and tricks that you can apply to keep your production environment secure.
Why Kubernetes as a container orchestrator is a right choice for running spar...DataWorks Summit
Building and deploying an analytic service on Cloud is a challenge. A bigger challenge is to maintain the service. In a world where users are gravitating towards a model where cluster instances are to be provisioned on the fly, in order for these to be used for analytics or other purposes, and then to have these cluster instances shut down when the jobs get done, the relevance of containers and container orchestration is more important than ever.
Container orchestrators like Kubernetes can be used to deploy and distribute modules quickly, easily, and reliably. The intent of this talk is to share the experience of building such a service and deploying it on a Kubernetes cluster. In this talk, we will discuss all the requirements which an enterprise grade Hadoop/Spark cluster running on containers bring in for a container orchestrator.
This talk will cover in details how Kubernetes orchestrator can be used to meet all our needs of resource management, scheduling, networking, and network isolation, volume management, etc. We will discuss how we have replaced our home grown container orchestrator with Kubernetes which used to manage the container lifecycle and manage resources in accordance to our requirements. We will also discuss the feature list as container orchestrator which is helping us deploy and patch 1000s of containers and also a list which we believe need improvement or can be enhanced in a container orchestrator.
Speaker
Rachit Arora, SSE, IBM
Orchestrating Linux Containers while tolerating failuresDocker, Inc.
lthough containers are bringing a refreshing flexibility when deploying services in production, the management of those containers in such an environment still requires special care in order to keep the application up and running. In this regard, orchestration platforms like Docker, Kubernetes and Nomad have been trying to alleviate this responsibility, facilitating the task of deploying and maintaining the entire application stack in its desired state. This ensures that a service will be always running, tolerating machine failures, network erratic behavior or software updates and downtime. The purpose of this talk is to explain the mechanisms and architecture of the Docker Engine orchestration platform (using a framework called swarmkit) to tolerate failures of services and machines, from cluster state replication and leader-election to container re-scheduling logic when a host goes down.
The document provides an overview of Docker networking as of version 17.06. It begins with introductions of the presenter and some key terminology used. It then discusses why container networking is needed and compares features of container and VM networking. The major components of Docker networking including network drivers, IPAM, Swarm networking, service discovery, and load balancing are outlined. Concepts of CNI/CNM standards and IP address management are explained. Examples of different network drivers such as bridge, overlay, macvlan are provided. The document also covers Docker networking concepts such as default networks, Swarm mode, service discovery, and load balancing. It concludes with some debugging commands and a reference slide.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
2. Background
• Container networking is going through BIG
changes
• Libraries and plugins… oh my!
• OpenStack’s getting in the game
• Magnum container networking today:
• Flannel for Kubernetes
2
3. Magnum Networking Goals
• Network containers across multiple nodes for all bay types.
• Provide a pluggable container networking stack.
• Make it simple… “batteries included but removable/swappable”.
• Align with container ecosystem
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4. Magnum Networking Plan
• The Magnum Container Networking Spec
proposes:
• Standardizing on libnetwork
• Removing Flannel from top-level templates
• Refactoring Heat templates and template definitions
• Questions
• Labels or expose network parameters?
• network.py?
• Docker services????
• Review and vote on the spec please J
4
5. Libnetwork Introduction
5
• Separates networking from Docker core/
libcontainer
• Networking functions are implemented through
drivers
• Drivers are either native or remote
• Implements Docker’s Container Network Model
(CNM).
• Still experimental
6. Libnetwork Details
6
• API
• REST API endpoint
• driverapi
• API interface for drivers
• drivers
• Implement the Driver API
• libkv
• Library to extract common store
operations for multiple k/v stores.
7. More on Drivers
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• Native Drivers
• Bridge: 1 per network
• Overlay: netns per net, bridge/vxlan tunnel per
host, nat between netns & host
• Remote Drivers
• Create networks and endpoints
• Live outside of libnetwork codebase
• Run on the host or in a container
• Experimental
• May rely on remote components to work
8. What About Flannel?
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• A L3 solution
• Leverages Docker bridging code for L2
$ docker -d --bip=${FLANNEL_SUBNET}
• Is currently NOT a libnetwork remote
driver
• Testing will be conducted to have
Flannel use libnetwork native bridge
driver
• CoreOS willing to accept pull for
libnetwork remote driver
9. Container Networking Model
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• Sandbox
• Encompasses the config of a container’s network
stack.
• Endpoint (Service)
• Joins a Sandbox to a Network.
• Network
• A group of endpoints that can communicate with
one another directly.