Integrating Glusterfs As a Storage Domain in VDSM & Supporting
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Effective Virtual CPU Configuration with QEMU and Libvirt
Effective Virtual CPU Configuration with QEMU and libvirt Kashyap Chamarthy <[email protected]> Open Source Summit Edinburgh, 2018 1 / 38 Timeline of recent CPU flaws, 2018 (a) Jan 03 • Spectre v1: Bounds Check Bypass Jan 03 • Spectre v2: Branch Target Injection Jan 03 • Meltdown: Rogue Data Cache Load May 21 • Spectre-NG: Speculative Store Bypass Jun 21 • TLBleed: Side-channel attack over shared TLBs 2 / 38 Timeline of recent CPU flaws, 2018 (b) Jun 29 • NetSpectre: Side-channel attack over local network Jul 10 • Spectre-NG: Bounds Check Bypass Store Aug 14 • L1TF: "L1 Terminal Fault" ... • ? 3 / 38 Related talks in the ‘References’ section Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications What this talk is not about 4 / 38 Related talks in the ‘References’ section What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications 4 / 38 What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications Related talks in the ‘References’ section 4 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP QEMU QEMU VM1 VM2 Custom Disk1 Disk2 Appliance ioctl() KVM-based virtualization components Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP Custom Appliance KVM-based virtualization components QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) Custom Appliance KVM-based virtualization components libvirtd QMP QMP QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 libguestfs (guestfish) Custom Appliance KVM-based virtualization components OpenStack, et al. -
Gluster Roadmap: Recent Improvements and Upcoming Features
Gluster roadmap: Recent improvements and upcoming features Niels de Vos GlusterFS co-maintainer [email protected] Agenda ● Introduction into Gluster ● Quick Start ● Current stable releases ● History of feature additions ● Plans for the upcoming 3.8 and 4.0 release ● Detailed description of a few select features FOSDEM, 30 January 2016 2 What is GlusterFS? ● Scalable, general-purpose storage platform ● POSIX-y Distributed File System ● Object storage (swift) ● Distributed block storage (qemu) ● Flexible storage (libgfapi) ● No Metadata Server ● Heterogeneous Commodity Hardware ● Flexible and Agile Scaling ● Capacity – Petabytes and beyond ● Performance – Thousands of Clients FOSDEM, 30 January 2016 3 Terminology ● Brick ● Fundamentally, a filesystem mountpoint ● A unit of storage used as a capacity building block ● Translator ● Logic between the file bits and the Global Namespace ● Layered to provide GlusterFS functionality FOSDEM, 30 January 2016 4 Terminology ● Volume ● Bricks combined and passed through translators ● Ultimately, what's presented to the end user ● Peer / Node ● Server hosting the brick filesystems ● Runs the Gluster daemons and participates in volumes ● Trusted Storage Pool ● A group of peers, like a “Gluster cluster” FOSDEM, 30 January 2016 5 Scale-out and Scale-up FOSDEM, 30 January 2016 6 Distributed Volume ● Files “evenly” spread across bricks ● Similar to file-level RAID 0 ● Server/Disk failure could be catastrophic FOSDEM, 30 January 2016 7 Replicated Volume ● Copies files to multiple bricks ● Similar to file-level -
Storage Virtualization for KVM – Putting the Pieces Together
Storage Virtualization for KVM – Putting the pieces together Bharata B Rao – [email protected] Deepak C Shettty – [email protected] M Mohan Kumar – [email protected] (IBM Linux Technology Center, Bangalore) Balamurugan Aramugam - [email protected] Shireesh Anjal – [email protected] (RedHat, Bangalore) Aug 2012 LPC2012 Linux is a registered trademark of Linus Torvalds. Agenda ● Problems around storage in virtualization ● GlusterFS as virt-ready file system – QEMU-GlusterFS integration – GlusterFS – Block device translator ● Virtualization management - oVirt and VDSM – VDSM-GlusterFS integration ● Storage integration – libstoragemgmt Problems in storage/FS in KVM virtualization ● Multiple choices for file system and virtualization management ● Lack of virtualization aware file systems ● File systems/storage functionality implemented in other layers of virtualization stack – Snapshots, block streaming, image formats in QEMU ● No well defined interface points in the virtualization stack for storage integration ● No standard interface/APIs available for services like backup and restore ● Need for a single FS/storage solution that works for local, SAN and NAS storage – Mixing different types of storage into a single filesystem namespace GlusterFS ● User space distributed file system that scales to several petabytes ● Aggregates storage resources from multiple nodes and presents a unified file system namespace GlusterFS - features ● Replication ● Striping ● Distribution ● Geo-replication/sync ● Online volume extension -
Glusterfs Documentation Release 3.8.0
GlusterFS Documentation Release 3.8.0 Gluster Community Aug 10, 2016 Contents 1 Quick Start Guide 3 1.1 Single Node Cluster...........................................3 1.2 Multi Node Cluster............................................4 2 Overview and Concepts 7 2.1 Volume Types..............................................7 2.2 FUSE................................................... 10 2.3 Translators................................................ 12 2.4 Geo-Replication............................................. 17 2.5 Terminologies.............................................. 19 3 Installation Guide 23 3.1 Getting Started.............................................. 23 3.2 Configuration............................................... 24 3.3 Installing Gluster............................................. 26 3.4 Overview................................................. 27 3.5 Quick Start Guide............................................ 28 3.6 Setup Baremetal............................................. 29 3.7 Deploying in AWS............................................ 30 3.8 Setting up in virtual machines...................................... 31 4 Administrator Guide 33 5 Upgrade Guide 35 6 Contributors Guide 37 6.1 Adding your blog............................................. 37 6.2 Bug Lifecycle.............................................. 37 6.3 Bug Reporting Guidelines........................................ 38 6.4 Bug Triage Guidelines.......................................... 41 7 Changelog 47 8 Presentations 49 i ii GlusterFS -
KVM Based Virtualization and Remote Management Srinath Reddy Pasunuru St
St. Cloud State University theRepository at St. Cloud State Culminating Projects in Information Assurance Department of Information Systems 5-2018 KVM Based Virtualization and Remote Management Srinath Reddy Pasunuru St. Cloud State University, [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/msia_etds Recommended Citation Pasunuru, Srinath Reddy, "KVM Based Virtualization and Remote Management" (2018). Culminating Projects in Information Assurance. 53. https://repository.stcloudstate.edu/msia_etds/53 This Starred Paper is brought to you for free and open access by the Department of Information Systems at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Information Assurance by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. 1 KVM Based Virtualization and Remote Management by Srinath Reddy Pasunuru A Starred Paper Submitted to the Graduate Faculty of St. Cloud State University in Partial Fulfillment of the Requirements for the Degree Master of Science in Information Assurance May, 2018 Starred Paper Committee Susantha Herath, Chairperson Ezzat Kirmani Sneh Kalia 2 Abstract In the recent past, cloud computing is the most significant shifts and Kernel Virtual Machine (KVM) is the most commonly deployed hypervisor which are used in the IaaS layer of the cloud computing systems. The Hypervisor is the one which provides the complete virtualization environment which will intend to virtualize as much as hardware and systems which will include the CPUs, Memory, network interfaces and so on. Because of the virtualization technologies such as the KVM and others such as ESXi, there has been a significant decrease in the usage if the resources and decrease in the costs involved. -
Shared File Systems: Determining the Best Choice for Your Distributed SAS® Foundation Applications Margaret Crevar, SAS Institute Inc., Cary, NC
Paper SAS569-2017 Shared File Systems: Determining the Best Choice for your Distributed SAS® Foundation Applications Margaret Crevar, SAS Institute Inc., Cary, NC ABSTRACT If you are planning on deploying SAS® Grid Manager and SAS® Enterprise BI (or other distributed SAS® Foundation applications) with load balanced servers on multiple operating systems instances, , a shared file system is required. In order to determine the best shared file system choice for a given deployment, it is important to understand how the file system is used, the SAS® I/O workload characteristics performed on it, and the stressors that SAS Foundation applications produce on the file system. For the purposes of this paper, we use the term "shared file system" to mean both a clustered file system and shared file system, even though" shared" can denote a network file system and a distributed file system – not clustered. INTRODUCTION This paper examines the shared file systems that are most commonly used with SAS and reviews their strengths and weaknesses. SAS GRID COMPUTING REQUIREMENTS FOR SHARED FILE SYSTEMS Before we get into the reasons why a shared file system is needed for SAS® Grid Computing, let’s briefly discuss the SAS I/O characteristics. GENERAL SAS I/O CHARACTERISTICS SAS Foundation creates a high volume of predominately large-block, sequential access I/O, generally at block sizes of 64K, 128K, or 256K, and the interactions with data storage are significantly different from typical interactive applications and RDBMSs. Here are some major points to understand (more details about the bullets below can be found in this paper): SAS tends to perform large sequential Reads and Writes. -
Texttext Introduction Into Glusterfs Martin Alfke <Martin.Alfke@Buero20
Introduction into GlusterFS Martin Alfke <[email protected]> TextText Wednesday, July 7, 2010 1 Agenda • General Information on GlusterFS • Architecture Overview • GlusterFS Translators • GlusterFS Configuration Wednesday, July 7, 2010 2 General Information Wednesday, July 7, 2010 3 General Information I File System Solutions Shared Disk File System •San or Block Access •Mostly used in HA setup (e.g. DRBD) Distributed File System •Network File System •NFS •SMB/CIFS •9P Distributed replicated File System •Replication •HA and offline operation •Coda •MS DFS •MooseFS 4 Wednesday, July 7, 2010 4 General Information II File System Solutions Distributed parallel File System •Setup across multiple servers •HPC Distributed replicated parallel File System •HPC and HA •Cosmos •MogileFS •GPFS (IBM) •GFS (Google) •Hadoop •GlusterFS 5 Wednesday, July 7, 2010 5 Customer Platform Shared Storage Issues Bad performance of NFS kernel stack Limitations of concurrent NFS accesses Customer data already on NFS system Environment and Requirements Debian GNU/Linux Version 4 (etch) – 3 years old Most D f-t p FS need complex data migration Solution has to be expandable 6 Wednesday, July 7, 2010 6 Why GlusterFS ? Decision basics Possibility to run NFS and GlusterFS in parallel No data migration necessary Easy setup Extendable (e.g. new storage nodes) min. Kernel 2.6.3x --> optimization for FUSE context switches ! 7 Wednesday, July 7, 2010 7 Architecture Overview Wednesday, July 7, 2010 8 GlusterFS Basics Hardware Any x86 Hardware Direct attached storage, RAID FC, Infiniband or iSCSI SAN Gigabit or 10 Gigabit network or Infiniband OS Linux, Solaris, OpenSolaris, OS X, FreeBSD ext3 or ext4 Filesystem (tested) Other POSIX compliant filesystems should also work Architecture No Meta-Data Server (fully distributed architecture - Elastic Hash) Replication (RAID 1) Distribution (RAID 0) FUSE (Standard) NFS (unfs3 - depreciated) SMB/CIFS DAV 9 Wednesday, July 7, 2010 9 GlusterFS Architecture Overview I Distribution Replication Images Copyright by Gluster.Inc. -
Red Hat Virtualization 4.3 Planning and Prerequisites Guide
Red Hat Virtualization 4.3 Planning and Prerequisites Guide Planning for the Installation and Configuration of Red Hat Virtualization 4.3 Last Updated: 2019-05-09 Red Hat Virtualization 4.3 Planning and Prerequisites Guide Planning for the Installation and Configuration of Red Hat Virtualization 4.3 Red Hat Virtualization Documentation Team Red Hat Customer Content Services [email protected] Legal Notice Copyright © 2019 Red Hat, Inc. The text of and illustrations in this document are licensed by Red Hat under a Creative Commons Attribution–Share Alike 3.0 Unported license ("CC-BY-SA"). An explanation of CC-BY-SA is available at http://creativecommons.org/licenses/by-sa/3.0/ . In accordance with CC-BY-SA, if you distribute this document or an adaptation of it, you must provide the URL for the original version. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries. Linux ® is the registered trademark of Linus Torvalds in the United States and other countries. Java ® is a registered trademark of Oracle and/or its affiliates. XFS ® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. MySQL ® is a registered trademark of MySQL AB in the United States, the European Union and other countries. -
Ovirt Architecture
oVirt Architecture Itamar Heim Presented here by Dan Kenigsberg [email protected] oVirt Overview 1 Agenda ● oVirt Components ● Engine ● Clients ● Host ● Engine Agent - VDSM ● Guest ● Storage Concepts ● Data Warehouse & Reports ● User flows oVirt Overview 2 Architecture From 30,000 Feet Servers Engine Client oVirt Overview 3 The Real World Web Clients Python SDK DB Python CLI Engine R LDAP E Server S T Guest agent Spice Guest client Shared Storage VDSM Host Local Storage oVirt Overview 4 oVirt Engine VM & Template Life Cycle Load HA create, schedule, snapshot Balancing Storage Configuration & Monitoring Network Configuration & Monitoring Host Host Host Host Register/Install Monitoring Maintenance Fencing Authentication, Authorization Inventory Audit oVirt Overview 5 oVirt Engine Postgres DB Active Directory Engine RHDS R E S IDM T oVirt Overview 6 The Real World Web Clients Python SDK DB Python CLI Engine R LDAP E Server S T Guest agent Spice Guest client Shared Storage VDSM Host Local Storage oVirt Overview 7 The Clients Admin Portal User Portal R Python SDK Engine E S T Python CLI oVirt Overview 8 Admin Portal oVirt Overview 9 User Portal oVirt Overview 10 Power User Portal oVirt Overview 11 REST API oVirt Overview 12 SDK oVirt Overview 13 CLI oVirt Overview 14 The Real World Web Clients Python SDK DB Python CLI Engine R LDAP E Server S T Guest agent Spice Guest client Shared Storage VDSM Host Local Storage oVirt Overview 15 The Host QEMU/KVM Fedora Engine MOM libvirt oVirt Node VDSM KSM Configuration Monitoring : Network, Storage, Host, -
Elo Provides On-Demand Infrastructure with Red Hat
CUSTOMER CASE STUDY ELO PROVIDES ON-DEMAND INFRASTRUCTURE WITH RED HAT Elo Serviços S.A., a Brazilian payment card company, has grown rapidly since its foundation. However, the market faces increasing competition from innovative financial technology (fintech) startups. To stay competitive, Elo needed an agile, efficient IT environment that would simplify management and speed time to market. With enterprise open source software from Red Hat—such as Red Hat OpenShift Container Platform and Red Hat Ansible Tower—Elo can deploy, manage, and update its customer service and applications faster to stay ahead of tradi- SOFTWARE tional and fintech competition. Red Hat® Enterprise Linux® Red Hat OpenShift® Container Platform Red Hat Ansible® Tower Red Hat Satellite Red Hat Gluster® Storage São Paulo, Brazil FINANCIAL SERVICES SERVICES HEADQUARTERS 115 EMPLOYEES Red Hat Technical Account 115 MILLION CARDS Manager (TAM) IN CIRCULATION Red Hat Consulting “With Red Hat OpenShift, we can plan and complete a proof of concept in 1-2 weeks, HARDWARE BENEFITS then launch what we’ve developed into Dell PowerEdge R730 • Reduced service time to 2S/2U Rack Server production faster to stay ahead of market by speeding server the competition.” deployment from 45 days to 1-2 days ANDERSON AGAPITO I.T. INFRASTRUCTURE MANAGER, ELO • Simplified management with greater automation • Enhanced compliance and security, including PCI-DSS certification • Gained access to expert guidance facebook.com/redhatinc @redhat linkedin.com/company/red-hat redhat.com STAYING COMPETITIVE IN A RAPIDLY GROWING MARKET Elo Serviços S.A., a Brazilian credit card company, was founded in 2011 as a joint venture between three of the country’s leading banks: Banco do Brasil, Bradesco, and Caixa Econômica Federal. -
Vnfs in a CNF Environment
VNFs in a CNF environment Monika Antoniak, Piotr Skamruk CodiLime Agenda ● Who are we? ● Business use case - use existing VNFs in a containerized set-up ● Technical solution to the problem ● Q&A Who we are? Who we are ● CodiLime has been providing networking engineering services since 2011 ● As part of our R&D efforts and based on our expertise with CNFs and VNFs, we have decided to explore this topic further ● Today we are presenting the working example Business use case Business case What if… ● You love the lightness of containers and use them on a daily basis ● You value the flexibility and resilience of the overall solution ● You want a simple way to deploy things ● You enjoy using kubernetes to manage your resources ● ...and you use a business critical network function as a blackbox VM What can you do to get all of that? A step back: VNFs and CNFs VNF (Virtual Network Function): a well- CNF (Containerized Network Function): a known way to realize network functions in new way of providing required network virtualized or cloud environments functionality with the help of containers Software is provided as a VM image that Software is distributed as a container cannot be changed into a container image, image and can be managed using or is based on an operating system other container-management tools (like docker than Linux images in kubernetes env) VNF examples: vFW, vBNG, vEPC CNF examples: vCPE/cCPE, LDAP, DHCP Back to business Goal: a converged setup for running containerized and VM-based network functions ● using a single user interface -
The Evolution of Linux Containers and Integration of Docker with SLES® 12
The Evolution of Linux Containers and Integration of Docker with SLES® 12 Michal Svec Flavio Castelli Senior Product Manager Senior Software Engineer [email protected] [email protected] Agenda • Linux Containers • Docker • Demo 2 Linux Containers Traditional virtualization App App App App A A' B B' Bins/Libs Bins/Libs Bins/Libs Bins/Libs Virtual Machine Virtual Guest OS Guest OS Guest OS Guest OS Hypervisor (Type 2) Host OS Server 4 Linux Containers App App App App A A' B B' Bins/Libs Bins/Libs Bins/Libs Bins/Libs Guest OS Guest OS System container Application container Guest OS Guest OS Kernel Kernel Hypervisor (Type 2) Host OS Server 5 What is a Linux Container? Apps Kernel Server 6 Why Use Linux Containers? • Lightweight virtualization solution ‒ Isolated from the other processes ‒ 1 kernel to rule them all ‒ Normal I/O ‒ Dynamic changes possible without reboot ‒ Nested virtualization is not a problem ‒ No boot time or very short one • Isolate services (e.g. web server, ftp, ...) • Provide root read-only access ‒ Mount host / as read-only ‒ Add only needed resources read-write 7 Linux Containers Use Cases • Deploy everywhere quickly ‒ Deploy application and their dependencies together. • Enterprise Data Center ‒ Limit applications which have a tendency to grab all resources on a system: ‒ Memory (databases) ‒ CPU cycles/scheduling (compute intensive applications) • Outsourcing business ‒ Guarantee a specific amount of resources (SLAs!) to a set of applications for a specific customer without more heavy virtualization technologies 8 Linux