This slide talk about more details about Docker and what is Docker Swarm mode.
There are also some examples in this slide, you can follow them to practice.
This slide talk about more details about Docker and what is Docker Swarm mode.
There are also some examples in this slide, you can follow them to practice.
The nova scheduler determines where to run virtual machine instances in OpenStack. It uses filters and weights to identify the best compute host from available information. An instance request is fulfilled by the scheduler selecting a host, informing the conductor, and having the compute node launch the instance. For large clouds, a horizontally scalable scheduler that uses flavor-based queues and avoids the database may improve performance. A Scheduler-as-a-Service project is also planned to provide a generic scheduler for other OpenStack components.
OpenStack is an open source cloud operating system that provides on-demand provisioning of compute, storage, and networking resources. It consists of several interconnected components that are managed through a dashboard interface. The key components include Horizon (dashboard), Keystone (authentication), Swift (object storage), Glance (image repository), Nova (compute), Quantum (networking), and Cinder (block storage). Nova is responsible for running virtual machine instances by retrieving images from Glance and scheduling instances on compute hosts using the Nova scheduler. The Nova scheduler uses filters and weights to determine the most suitable host for an instance based on availability, capabilities, and load.
The nova scheduler determines where to run virtual machine instances in OpenStack. It uses filters and weights to identify the best compute host from available information. An instance request is fulfilled by the scheduler selecting a host, informing the conductor, and having the compute node launch the instance. For large clouds, a horizontally scalable scheduler that uses flavor-based queues and avoids the database may improve performance. A Scheduler-as-a-Service project is also planned to provide a generic scheduler for other OpenStack components.
OpenStack is an open source cloud operating system that provides on-demand provisioning of compute, storage, and networking resources. It consists of several interconnected components that are managed through a dashboard interface. The key components include Horizon (dashboard), Keystone (authentication), Swift (object storage), Glance (image repository), Nova (compute), Quantum (networking), and Cinder (block storage). Nova is responsible for running virtual machine instances by retrieving images from Glance and scheduling instances on compute hosts using the Nova scheduler. The Nova scheduler uses filters and weights to determine the most suitable host for an instance based on availability, capabilities, and load.
Pacemaker can provide high availability for OpenStack by running redundant OpenStack services on different machines and letting Pacemaker control service execution. However, Pacemaker may be slow without proper configuration. OpenStack services need to generate process IDs to be managed as resources. Custom resource agents are also required. Improving initialization scripts to generate process IDs, creating custom agents, and optimizing the cluster configuration can help speed up Pacemaker's response.
High Availability from the DevOps side - OpenStack Summit PortlandeNovance
This document summarizes Emilien Macchi and Sébastien Han's work on improving high availability in OpenStack. It discusses their contributions of Pacemaker resource agents and documentation updates. It also describes their experiences implementing OpenStack in a medium public cloud, noting challenges of scalability and split brains risks. Lastly, it outlines work to improve networking high availability and testing the cell architecture for horizontal scaling.
Watcher, a Resource Manager for OpenStack: Plans for the N-release and BeyondAntoine Cabot
Watcher is an open source software package which provides a flexible and scalable resource optimization service for multi-tenant OpenStack-based clouds.
Watcher provides a complete optimization loop—including everything from a metrics receiver, optimization processor and an action plan applier. This provides a robust framework to realize a wide range of cloud optimization goals, including the reduction of data center operating costs, increased system performance via intelligent virtual machine migration,increased energy efficiency, etc.
The overall goal is that OpenStack-based clouds equipped with Watcher will decrease their Total Cost of Ownership by way of more efficient use of their infrastructure through targeted optimizations and close-loop automation.
In this presentation we will go over the state of Watcher as it is today, its architecture, the team’s accomplishments for the Mitaka release and our plans for the N-release and beyond.
The document discusses the components of OpenStack Nova and their roles. It describes nova-api, nova-conductor, nova-scheduler, and nova-compute.
Nova-api handles user requests and initiates orchestration activities. Nova-conductor acts as an intermediary between the database and compute nodes. Nova-scheduler determines which compute node to place new instances on. Nova-compute runs on compute nodes and creates/terminates VMs using hypervisor APIs.
The Nova driver for Docker has been maturing rapidly since its mainline removal in Icehouse. During the Juno cycle, substantial improvements have been made to the driver, and greater parity has been reached with other virtualization drivers. We will explore these improvements and what they mean to deployers. Eric will additionally showcase deployment scenarios for the deployment of OpenStack itself inside and underneath of Docker for powering traditional VM-based computing, storage, and other cloud services. Finally, users should expect a preview of the planned integration with the new OpenStack Containers Service effort to provide automation of advanced containers functionality and Docker-API semantics inside of an OpenStack cloud.
Note that the included Heat templates are NOT usable. See the linked Heat resources for viable templates and examples.
The document discusses high availability (HA) techniques in OpenStack. It covers HA concepts for both stateless and stateful services. For compute HA, it discusses server evacuation and instance migration without and with shared storage. It then covers different HA options for OpenStack controllers, including Pacemaker/Corosync/DRBD for active-active database clustering, Galera for MySQL replication, and HAProxy/Keepalived/VRRP for load balancing. An example HA architecture is shown using these technologies across availability zones.
My first book preview.
The published eBook willl have plenty of Hyperlinks to Flash movies to explain advanced topics. You can donate or order the books if you want.
- IPv4 addresses will be exhausted within 1000 days, so IPv6 adoption is urgently needed
- Getting IPv6 addresses from your LIR and setting up basic routing is straightforward using existing IPv4 knowledge and tools
- A sample IPv6 network deployment plan is outlined, including addressing schemes, interface configuration, routing protocols, and DNS/reverse DNS setup
This document discusses various approaches to implementing high availability (HA) in OpenStack including active/active and active/passive configurations. It provides an overview of HA techniques used at Deutsche Telekom and eBay/PayPal including load balancing APIs and databases, replicating RabbitMQ and MySQL, and configuring Pacemaker/Corosync for OpenStack services. It also discusses lessons learned around testing failures, placing services across availability zones, and having backups for HA infrastructures.
NetApp offers solutions to help enable developers' dreams of self-service infrastructure through their SolidFire platform which allows for easy infrastructure as code with the best OpenStack and VMware integration. Their CloudBees Jenkins plug-in can automate and radically reduce continuous build and test cycle times. NetApp storage efficiency technologies can save a huge amount of capacity and money while guaranteeing extreme consistent performance as DevOps environments scale from terabytes to petabytes.
The document discusses high availability (HA) techniques in OpenStack. It covers HA concepts for both stateless and stateful services. For compute HA, it discusses server evacuation and instance migration without and with shared storage. It then covers different HA options for OpenStack controllers, including Pacemaker/Corosync/DRBD for active-passive HA and Galera for active-active MySQL HA. It also discusses using Keepalived, HAProxy and VRRP for load balancing and failover of API services. Finally, it presents a sample highly available OpenStack architecture and lists additional resources.
This document discusses learning objectives related to OpenStack architecture and installation. It will describe OpenStack architecture and components. It will also cover how to install the OpenStack Liberty release. The document provides an outline and introduces concepts such as virtualization technologies, OpenStack introduction, and installing OpenStack.
This document provides an overview of IPv6 addressing and connectivity. It describes the various types of IPv6 addresses including global aggregateable unicast addresses, site-local addresses, unique local addresses, and link-local addresses. It also covers IPv6 address formats and special addresses like the unspecified, loopback, multicast, and solicited node multicast addresses. Transition mechanisms from IPv4 to IPv6 are also briefly mentioned.
Swiss IPv6 Council: IPv6 in der Cloud - Case Study der cloudscale.chDigicomp Academy AG
Die monatlichen Anlässe in Zusammenarbeit mit dem Swiss IPv6 Council behandeln verschiedene technische Themenbereiche von IPv6.
In seinem Referat präsentierte Manuel Schweizer, Gründer der cloudscale.ch AG und Vorstandsmitglied beim SwissIX Internet Exchange, die Erfahrungen der cloudscale.ch mit IPv6 in der Cloud. Der Schweizer Iaas-Anbieter hat 2016 IPv6 in der Cloud ausgerollt. Die spannende Casestudy gab einen Überblick über die Akzeptanz, Kundenfeedback und gemachten Erfahrungen.
Gerne stellen wir Ihnen die Slides von Manuel Schweizer zur Verfügung.
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
What's really the difference between a VM and a Container?Adrian Otto
Slides for my SCaLE 15x Presentation for 2017-03-04:
What's really the difference between a VM and a Container?
Docker, Kubernetes, Mesos, and the container buzzword bingo game leaves us all asking this same question at some point. We know VMs are great, so why all this fuss now about containers? Are they the same thing, but better? This talk will go deep into the technical details of the fundamental differences between the technology, explaining in depth how each of them works, and where each of them shine and why businesses choose one over the other. You will also get a good sense of where the warts are too, so you know when to pick the right one (or the right combination of them) depending on what’s important for each of your various workloads.
https://www.socallinuxexpo.org/scale/15x/presentations/whats-really-difference-between-vm-and-container
The Construction and Practice of Apache Pegasus in Offline and Online Scenari...acelyc1112009
A presentation in Apache Pegasus meetup in 2022 from Wei Wang.
Apache Pegasus is a horizontally scalable, strongly consistent and high-performance key-value store.
Know more about Pegasus https://pegasus.apache.org, https://github.com/apache/incubator-pegasus
How does Apache Pegasusused in SensorsDataacelyc1112009
A presentation in COSCon (China Open Source Conference) 2023 from Guohao Li.
Apache Pegasus is a horizontally scalable, strongly consistent and high-performance key-value store.
Know more about Pegasus https://pegasus.apache.org, https://github.com/apache/incubator-pegasus
1) The Docker Volume Isolator in Mesos allows containers to use external distributed storage volumes for persistent data, providing availability and scale beyond a single host.
2) It uses a driver-based model where volume drivers like Convoy and Rex-ray manage the external storage, and the isolator handles mounting volumes into containers.
3) The isolator mounts and unmounts volumes using the driver name and volume name, providing operators flexibility in their choice of storage platforms like IBM Spectrum Scale, AWS EBS, or GCE.
This document compares Mesos and Kubernetes container orchestration platforms. It provides an overview of each platform's architecture and ecosystem. Mesos focuses on resource management and supports both containers and non-container workloads, while Kubernetes prioritizes application orchestration and only supports containers. The document also discusses customer use cases for each platform and outlines considerations for selecting between them, such as workload type, scale needs, and ecosystem support. It concludes by explaining IBM's choice to focus on Kubernetes due to its open governance model, large ecosystem, and IBM's contributions to the project.
The document summarizes a recap of the 2015 Seattle Mesos conference. It discusses the growth of the Apache Mesos community and real-world adoption in production environments. It provides details on Mesosphere announcing a new product and a paying customer in Verizon. It also discusses several other companies using Mesos including PayPal and Digital Ocean. Finally, it briefly summarizes Netflix's project Fenzo for cross-framework scheduling and the landscape of Mesos frameworks.
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.
This document summarizes OpenStack meetups held in China. It provides an overview of meetups in Shanghai, Beijing, and Xian from 2013-2014, including the total number of participants. Feedback from surveys of meetup participants is presented, showing most have basic experience with OpenStack but few have mastered it. The document also lists the most popular OpenStack projects participants are interested in contributing to and how they would like to get involved in the global OpenStack community.
27. OpenStack资源调度的发展方向
• Scheduler As A Service
– Gantt,可能会在M版孵化成功
– 提供一个公共的调度模块
– 为计算,存储,网络等调度资源
– 应用领域:大数据,云计算,
HPC
• Policy As A Service
– Congress
– Tetris
Big Data and
Analytics =
Hadoop
PaaS = Cloud
Foundry
IaaS =
OpenStack
Gantt