RabbitMQ is said a point of bottleneck in OpenStack.
We researched RabbitMQ and analyzed OpenStack RPC messaging.
This slide shows that RabbitMQ can scale out with HA setting.
RabbitMQ is said a point of bottleneck in OpenStack.
We researched RabbitMQ and analyzed OpenStack RPC messaging.
This slide shows that RabbitMQ can scale out with HA setting.
『OpenStackの導入事例/検証事例のご紹介』 NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design ...VirtualTech Japan Inc.
『OpenStackの導入事例/検証事例のご紹介』NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design and Operation of OpenStack Cloud on 100 Physical Servers (NTT DOCOMO)」
講師:伊藤 宏通(日本仮想化技術 CTO)
先日パリで開催したOpenStack Summit 2014 Parisで講演した内容を日本語でお伝えいたします。
You will face many problems when you start designing your OpenStack Cloud because of a lack of full design architecture information. For example, there are many Neutron plugins, but it is difficult to choose the best plugin and its configuration to get a high throughput of a Virtual Machine (VM) and achieve a High Availability (HA) of L3 Agent. Also, we couldn’t find information for how much computing resource (CPU, Memory and HDD) is required for management and operation servers (e.g. API, RabbitMQ, MySQL and Monitoring etc.).
We built OpenStack Icehouse Cloud on 100 physical servers (1600 physical cores) without using commecial software, and did several performance and long-run tests to address these problems.
In this talk, we will present performance comparison of Neutron ML2 plugin implementations (Open vSwitch and Linux Bridge), tunnelling protocols (GRE and VXLAN) and physical network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path) to achieve 10Gbps at a VM, and the L3 Agent HA we implemented. Also, we will present how much computing resource we used and each server loads to operate the cloud. Finaly, we will share our Ansible Based OpenStack deployment and management tool.
Key topics include:
- Performance comparison of OSS Neutron ML2 plugins (Open vSwitch and Linux Bridge) and tunneling protocols (GRE and VXLAN)
- Performance comparision of redundant network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path)
- HA of L3 Agent (ACT/STBY) we implemented
- Ansible based deployment/operation tools
- Items we must watch for OpenStack operation
- Hardware specifications and resources we used to operate the Cloud
We will share a full design architecture and hardware sizing information for a large scale cloud and prove OSS based Neutron can handle a hundred servers.
『OpenStackの導入事例/検証事例のご紹介』 NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design ...VirtualTech Japan Inc.
『OpenStackの導入事例/検証事例のご紹介』NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design and Operation of OpenStack Cloud on 100 Physical Servers (NTT DOCOMO)」
講師:伊藤 宏通(日本仮想化技術 CTO)
先日パリで開催したOpenStack Summit 2014 Parisで講演した内容を日本語でお伝えいたします。
You will face many problems when you start designing your OpenStack Cloud because of a lack of full design architecture information. For example, there are many Neutron plugins, but it is difficult to choose the best plugin and its configuration to get a high throughput of a Virtual Machine (VM) and achieve a High Availability (HA) of L3 Agent. Also, we couldn’t find information for how much computing resource (CPU, Memory and HDD) is required for management and operation servers (e.g. API, RabbitMQ, MySQL and Monitoring etc.).
We built OpenStack Icehouse Cloud on 100 physical servers (1600 physical cores) without using commecial software, and did several performance and long-run tests to address these problems.
In this talk, we will present performance comparison of Neutron ML2 plugin implementations (Open vSwitch and Linux Bridge), tunnelling protocols (GRE and VXLAN) and physical network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path) to achieve 10Gbps at a VM, and the L3 Agent HA we implemented. Also, we will present how much computing resource we used and each server loads to operate the cloud. Finaly, we will share our Ansible Based OpenStack deployment and management tool.
Key topics include:
- Performance comparison of OSS Neutron ML2 plugins (Open vSwitch and Linux Bridge) and tunneling protocols (GRE and VXLAN)
- Performance comparision of redundant network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path)
- HA of L3 Agent (ACT/STBY) we implemented
- Ansible based deployment/operation tools
- Items we must watch for OpenStack operation
- Hardware specifications and resources we used to operate the Cloud
We will share a full design architecture and hardware sizing information for a large scale cloud and prove OSS based Neutron can handle a hundred servers.
This document discusses using Fluentd and Norikra to collect, process, and summarize OpenStack logs. Fluentd is used to collect logs from OpenStack components like Nova and forward them to Norikra for processing. Norikra allows logs to be queried and aggregated using SQL. It can summarize logs by hostname, log level, and message to detect issues. Notifications of warnings or errors can then be sent via tools like Slack to alert operators. Together, Fluentd and Norikra provide a scalable log management system that makes it easier to monitor OpenStack deployments and detect problems in large, high-volume log streams.
Masakari and recent activity in openstack HA team. This slide is presented at Japan OpenStack User Group on 24th Mar, 2016.
日本OpenStackユーザ会 第25回 の資料。OpenStack インスタンス HA 機能の Masakari と HA team の活動紹介
A Guide to SlideShare Analytics - Excerpts from Hubspot's Step by Step Guide ...SlideShare
This document provides a summary of the analytics available through SlideShare for monitoring the performance of presentations. It outlines the key metrics that can be viewed such as total views, actions, and traffic sources over different time periods. The analytics help users identify topics and presentation styles that resonate best with audiences based on view and engagement numbers. They also allow users to calculate important metrics like view-to-contact conversion rates. Regular review of the analytics insights helps users improve future presentations and marketing strategies.
20190722 OpenStack community past present futureAkihiro Motoki
Presentation at OpenStack Days Tokyo 2019
It covers
- Recent status of OpenStack community
- Upstream development community
- User (ops) community
- SIG output (extended maintenance, fast forward upgrade)
- community wide goals
- Future of OpenStack in "Open Infrastructure"
CloudNative Days Tokyo 2021で発表した資料です。
https://event.cloudnativedays.jp/cndt2021/talks/1279
Terraform、Pulumi、Kustomize、CrossplaneなどといったInfrastructure as Codeを取り巻くエコシステムを分析し、パブリッククラウドやKubernetesの力を最大限に引き出すためのツールスタックをどう組み上げていくか考察しています。
NTTコミュニケーションズでは、Azure Stack Hub with GPUを先行で導入し検証を行っています。本資料では、実際に利用している立場からデモを交えつつAzure Stack Hub with GPUのユースケースをお話すると共に、GPUのベンチマークを含む他社クラウドとの性能比較結果について情報共有をいたします。
Slides at OpenStack Summit 2017 Sydney
Session Info and Video: https://www.openstack.org/videos/sydney-2017/100gbps-openstack-for-providing-high-performance-nfv
Slide at OpenStack Summit 2018 Vancouver
Session Info and Video: https://www.openstack.org/videos/vancouver-2018/can-we-boost-more-hpc-performance-integrate-ibm-power-servers-with-gpus-to-openstack-environment
This slide was for CLOUDEXPO 2017 in NYC. Consists of two part, One is for introducing existing WebRTC - IoT use cases. Another is conceptual consideration of Edge Computing scenario which leveraging WebRTC technology.
WebRTC Conference Japan 2016 (2016年2月16日) の講演資料です。
発表者は中蔵聡哉と大津谷亮祐 http://www.slideshare.net/rotsuya です。
“Telexistence Robot controlled with WebRTC”
It's the presentation slides at WebRTC Conference Japan on Feb 16, 2016.
The presenters were Toshiya Nakakura and Ryosuke Otsuya http://www.slideshare.net/rotsuya .
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