Cooperative Network Virtualization in the Industrial Server Applications on Linux
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Security Assurance Requirements for Linux Application Container Deployments
NISTIR 8176 Security Assurance Requirements for Linux Application Container Deployments Ramaswamy Chandramouli This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 NISTIR 8176 Security Assurance Requirements for Linux Application Container Deployments Ramaswamy Chandramouli Computer Security Division Information Technology Laboratory This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 October 2017 U.S. Department of Commerce Wilbur L. Ross, Jr., Secretary National Institute of Standards and Technology Walter Copan, NIST Director and Under Secretary of Commerce for Standards and Technology NISTIR 8176 SECURITY ASSURANCE FOR LINUX CONTAINERS National Institute of Standards and Technology Internal Report 8176 37 pages (October 2017) This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. This p There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities. The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications. Thus, until each ublication is available free of charge from: http publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative. For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST. -
SNMP Trap - Firewall Rules
SNMP Trap - Firewall Rules Article Number: 87 | Rating: 1/5 from 1 votes | Last Updated: Wed, Jan 13, 2021 at 4:42 PM Fir e wall Rule s These steps explain how to check if the Operating System (OS) of the Nagios server has firewall rules enabled to allow inbound SNMP Trap UDP port 162 traffic. The different supported OS's have different firewall commands which are explained as follows. You will need to establish an SSH session to the Nagios server that is receiving SNMP Traps. RHEL 7/8 | C e nt O S 7/8 | O r ac le Linux 7/8 First check the status of the firewall: systemctl status firewalld.service IF the firewall is running , it should product output like: ● firewalld.service - firewalld - dynamic firewall daemon Loaded: loaded (/usr/lib/systemd/system/firewalld.service; enabled; vendor preset: enabled) Active: active (running) since Tue 2018-11-20 10:05:15 AEDT; 1 weeks 0 days ago Docs: man:firewalld(1) Main PID: 647 (firewalld) CGroup: /system.slice/firewalld.service └─647 /usr/bin/python -Es /usr/sbin/firewalld --nofork --nopid IF the firewall is NO T running, it will produce this output: ● firewalld.service - firewalld - dynamic firewall daemon Loaded: loaded (/usr/lib/systemd/system/firewalld.service; enabled; vendor preset: enabled) Active: inactive (dead) since Tue 2018-11-27 14:11:34 AEDT; 965ms ago Docs: man:firewalld(1) Main PID: 647 (code=exited, status=0/SUCCESS) If the firewall is NOT running, this means that inbound traffic is allowed. To ENABLE the firewall on b o o t and to s ta rt it, execute the following commands: systemctl -
In Search of the Ideal Storage Configuration for Docker Containers
In Search of the Ideal Storage Configuration for Docker Containers Vasily Tarasov1, Lukas Rupprecht1, Dimitris Skourtis1, Amit Warke1, Dean Hildebrand1 Mohamed Mohamed1, Nagapramod Mandagere1, Wenji Li2, Raju Rangaswami3, Ming Zhao2 1IBM Research—Almaden 2Arizona State University 3Florida International University Abstract—Containers are a widely successful technology today every running container. This would cause a great burden on popularized by Docker. Containers improve system utilization by the I/O subsystem and make container start time unacceptably increasing workload density. Docker containers enable seamless high for many workloads. As a result, copy-on-write (CoW) deployment of workloads across development, test, and produc- tion environments. Docker’s unique approach to data manage- storage and storage snapshots are popularly used and images ment, which involves frequent snapshot creation and removal, are structured in layers. A layer consists of a set of files and presents a new set of exciting challenges for storage systems. At layers with the same content can be shared across images, the same time, storage management for Docker containers has reducing the amount of storage required to run containers. remained largely unexplored with a dizzying array of solution With Docker, one can choose Aufs [6], Overlay2 [7], choices and configuration options. In this paper we unravel the multi-faceted nature of Docker storage and demonstrate its Btrfs [8], or device-mapper (dm) [9] as storage drivers which impact on system and workload performance. As we uncover provide the required snapshotting and CoW capabilities for new properties of the popular Docker storage drivers, this is a images. None of these solutions, however, were designed with sobering reminder that widespread use of new technologies can Docker in mind and their effectiveness for Docker has not been often precede their careful evaluation. -
Hypervisors Vs. Lightweight Virtualization: a Performance Comparison
2015 IEEE International Conference on Cloud Engineering Hypervisors vs. Lightweight Virtualization: a Performance Comparison Roberto Morabito, Jimmy Kjällman, and Miika Komu Ericsson Research, NomadicLab Jorvas, Finland [email protected], [email protected], [email protected] Abstract — Virtualization of operating systems provides a container and alternative solutions. The idea is to quantify the common way to run different services in the cloud. Recently, the level of overhead introduced by these platforms and the lightweight virtualization technologies claim to offer superior existing gap compared to a non-virtualized environment. performance. In this paper, we present a detailed performance The remainder of this paper is structured as follows: in comparison of traditional hypervisor based virtualization and Section II, literature review and a brief description of all the new lightweight solutions. In our measurements, we use several technologies and platforms evaluated is provided. The benchmarks tools in order to understand the strengths, methodology used to realize our performance comparison is weaknesses, and anomalies introduced by these different platforms in terms of processing, storage, memory and network. introduced in Section III. The benchmark results are presented Our results show that containers achieve generally better in Section IV. Finally, some concluding remarks and future performance when compared with traditional virtual machines work are provided in Section V. and other recent solutions. Albeit containers offer clearly more dense deployment of virtual machines, the performance II. BACKGROUND AND RELATED WORK difference with other technologies is in many cases relatively small. In this section, we provide an overview of the different technologies included in the performance comparison. -
Netfilter's Connection Tracking System
FILTERING POLICIES BASED UNIQUELY on packet header information are obsolete. PABLO NEIRA AYUSO These days, stateful firewalls provide advanced mechanisms to let sysadmins Netfilter’s and security experts define more intelli- gent policies. This article describes the connection implementation details of the connection tracking system tracking system provided by the Netfilter project and also presents the required Pablo Neira Ayuso has an M.S. in computer science background to understand it, such as an and has worked for several companies in the IT secu- rity industry, with a focus on open source solutions. understanding of the Netfilter framework. Nowadays he is a full-time teacher and researcher at the University of Seville. This article will be the perfect complement to understanding the subsystem that [email protected] enables the stateful firewall available in any recent Linux kernel. The Netfilter Framework The Netfilter project was founded by Paul “Rusty” Russell during the 2.3.x development series. At that time the existing firewalling tool for Linux had serious drawbacks that required a full rewrite. Rusty decided to start from scratch and create the Netfilter framework, which comprises a set of hooks over the Linux network protocol stack. With the hooks, you can register kernel modules that do some kind of network packet handling at different stages. Iptables, the popular firewalling tool for Linux, is commonly confused with the Netfilter framework itself. This is because iptables chains and hooks have the same names. But iptables is just a brick on top of the Netfilter framework. Fortunately, Rusty spent considerable time writ- ing documentation [1] that comes in handy for anyone willing to understand the framework, al- though at some point you will surely feel the need to get your hands dirty and look at the code to go further. -
Systemd As a Container Manager
systemd as a Container Manager Seth Jennings [email protected] Texas Linux Fest 2015 8/21/2015 Agenda ● Very quick overview of systemd ● What is a Linux Container ● systemd as a Container Manager ● Live Demo! Because I like to punish myself! Disclaimer What is systemd? ● systemd is a suite of system management daemons, libraries, and utilities designed as a central management and configuration platform for the Linux operating system. How Big Is This “Suite” ● systemd - init process, pid 1 ● journald ● logind ● udevd ● hostnamed ● machined ● importd ● networkd ● resolved ● localed ● timedated ● timesyncd ● and more! Don't Leave! ● No deep dive on all of these ● Focus on using systemd for container management – Spoiler alert: many of the systemd commands you already use work on containers managed by systemd too! What is a Linux Container ● What it is not – Magic ● conjured only from the mystical language of Go – Virtualization (hardware emulation) – A completely new concept never before conceived of by man since time began – An image format – An image distribution mechanism – Only usable by modular (microservice) applications at scale What is a Linux Container ● A resource-constrained, namespaced environment, initialized by a container manager and enforced by the kernel, where processes can run – kernel cgroups limits hardware resources ● cpus, memory, i/o ● special cgroup filesystem /sys/fs/cgroup – kernel namespacing limits resource visibility ● mount, PID, user, network, UTS, IPC ● syscalls clone(), setns(), unshare() What is a Linux Container ● The set of processes in the container is rooted in a process that has pid 1 inside the pid namespace of the container ● The filesystem inside the container can be as complex as a docker image or as simple as a subdirectory on the host (think chroot). -
Communicating Between the Kernel and User-Space in Linux Using Netlink Sockets
SOFTWARE—PRACTICE AND EXPERIENCE Softw. Pract. Exper. 2010; 00:1–7 Prepared using speauth.cls [Version: 2002/09/23 v2.2] Communicating between the kernel and user-space in Linux using Netlink sockets Pablo Neira Ayuso∗,∗1, Rafael M. Gasca1 and Laurent Lefevre2 1 QUIVIR Research Group, Departament of Computer Languages and Systems, University of Seville, Spain. 2 RESO/LIP team, INRIA, University of Lyon, France. SUMMARY When developing Linux kernel features, it is a good practise to expose the necessary details to user-space to enable extensibility. This allows the development of new features and sophisticated configurations from user-space. Commonly, software developers have to face the task of looking for a good way to communicate between kernel and user-space in Linux. This tutorial introduces you to Netlink sockets, a flexible and extensible messaging system that provides communication between kernel and user-space. In this tutorial, we provide fundamental guidelines for practitioners who wish to develop Netlink-based interfaces. key words: kernel interfaces, netlink, linux 1. INTRODUCTION Portable open-source operating systems like Linux [1] provide a good environment to develop applications for the real-world since they can be used in very different platforms: from very small embedded devices, like smartphones and PDAs, to standalone computers and large scale clusters. Moreover, the availability of the source code also allows its study and modification, this renders Linux useful for both the industry and the academia. The core of Linux, like many modern operating systems, follows a monolithic † design for performance reasons. The main bricks that compose the operating system are implemented ∗Correspondence to: Pablo Neira Ayuso, ETS Ingenieria Informatica, Department of Computer Languages and Systems. -
Resource Management: Linux Kernel Namespaces and Cgroups
Resource management: Linux kernel Namespaces and cgroups Rami Rosen [email protected] Haifux, May 2013 www.haifux.org 1/121 http://ramirose.wix.com/ramirosen TOC Network Namespace PID namespaces UTS namespace Mount namespace user namespaces cgroups Mounting cgroups links Note: All code examples are from for_3_10 branch of cgroup git tree (3.9.0-rc1, April 2013) 2/121 http://ramirose.wix.com/ramirosen General The presentation deals with two Linux process resource management solutions: namespaces and cgroups. We will look at: ● Kernel Implementation details. ●what was added/changed in brief. ● User space interface. ● Some working examples. ● Usage of namespaces and cgroups in other projects. ● Is process virtualization indeed lightweight comparing to Os virtualization ? ●Comparing to VMWare/qemu/scaleMP or even to Xen/KVM. 3/121 http://ramirose.wix.com/ramirosen Namespaces ● Namespaces - lightweight process virtualization. – Isolation: Enable a process (or several processes) to have different views of the system than other processes. – 1992: “The Use of Name Spaces in Plan 9” – http://www.cs.bell-labs.com/sys/doc/names.html ● Rob Pike et al, ACM SIGOPS European Workshop 1992. – Much like Zones in Solaris. – No hypervisor layer (as in OS virtualization like KVM, Xen) – Only one system call was added (setns()) – Used in Checkpoint/Restart ● Developers: Eric W. biederman, Pavel Emelyanov, Al Viro, Cyrill Gorcunov, more. – 4/121 http://ramirose.wix.com/ramirosen Namespaces - contd There are currently 6 namespaces: ● mnt (mount points, filesystems) ● pid (processes) ● net (network stack) ● ipc (System V IPC) ● uts (hostname) ● user (UIDs) 5/121 http://ramirose.wix.com/ramirosen Namespaces - contd It was intended that there will be 10 namespaces: the following 4 namespaces are not implemented (yet): ● security namespace ● security keys namespace ● device namespace ● time namespace. -
Container-Based Virtualization for Byte-Addressable NVM Data Storage
2016 IEEE International Conference on Big Data (Big Data) Container-Based Virtualization for Byte-Addressable NVM Data Storage Ellis R. Giles Rice University Houston, Texas [email protected] Abstract—Container based virtualization is rapidly growing Storage Class Memory, or SCM, is an exciting new in popularity for cloud deployments and applications as a memory technology with the potential of replacing hard virtualization alternative due to the ease of deployment cou- drives and SSDs as it offers high-speed, byte-addressable pled with high-performance. Emerging byte-addressable, non- volatile memories, commonly called Storage Class Memory or persistence on the main memory bus. Several technologies SCM, technologies are promising both byte-addressability and are currently under research and development, each with dif- persistence near DRAM speeds operating on the main memory ferent performance, durability, and capacity characteristics. bus. These new memory alternatives open up a new realm of These include a ReRAM by Micron and Sony, a slower, but applications that no longer have to rely on slow, block-based very large capacity Phase Change Memory or PCM by Mi- persistence, but can rather operate directly on persistent data using ordinary loads and stores through the cache hierarchy cron and others, and a fast, smaller spin-torque ST-MRAM coupled with transaction techniques. by Everspin. High-speed, byte-addressable persistence will However, SCM presents a new challenge for container-based give rise to new applications that no longer have to rely on applications, which typically access persistent data through slow, block based storage devices and to serialize data for layers of block based file isolation. -
Introduction to Linux Virtual Server and High Availability
Outlines Introduction to Linux Virtual Server and High Availability Chen Kaiwang [email protected] December 5, 2011 Chen Kaiwang [email protected] LVS-DR and Keepalived Outlines If you don't know the theory, you don't have a way to be rigorous. Robert J. Shiller http://www.econ.yale.edu/~shiller/ Chen Kaiwang [email protected] LVS-DR and Keepalived Outlines Misery stories I Jul 2011 Too many connections at zongheng.com I Aug 2011 Realserver maintenance at 173.com quiescent persistent connections I Nov 2011 Health check at 173.com I Nov 2011 Virtual service configuration at 173.com persistent session data Chen Kaiwang [email protected] LVS-DR and Keepalived Outlines Outline of Part I Introduction to Linux Virtual Server Configuration Overview Netfilter Architecture Job Scheduling Scheduling Basics Scheduling Algorithms Connection Affinity Persistence Template Persistence Granularity Quirks Chen Kaiwang [email protected] LVS-DR and Keepalived Outlines Outline of Part II HA Basics LVS High Avaliablity Realserver Failover Director Failover Solutions Heartbeat Keepalived Chen Kaiwang [email protected] LVS-DR and Keepalived LVS Intro Job Scheduling Connection Affinity Quirks Part I Introduction to Linux Virtual Server Chen Kaiwang [email protected] LVS-DR and Keepalived LVS Intro Job Scheduling Configuration Overview Connection Affinity Netfilter Architecture Quirks Introduction to Linux Virtual Server Configuration Overview Netfilter Architecture Job Scheduling Scheduling Basics Scheduling Algorithms Connection Affinity Persistence Template Persistence Granularity Quirks Chen Kaiwang [email protected] LVS-DR and Keepalived LVS Intro Job Scheduling Configuration Overview Connection Affinity Netfilter Architecture Quirks A Linux Virtual Serverr (LVS) is a group of servers that appear to the client as one large, fast, reliable (highly available) server. -
Ubuntu Server Guide Basic Installation Preparing to Install
Ubuntu Server Guide Welcome to the Ubuntu Server Guide! This site includes information on using Ubuntu Server for the latest LTS release, Ubuntu 20.04 LTS (Focal Fossa). For an offline version as well as versions for previous releases see below. Improving the Documentation If you find any errors or have suggestions for improvements to pages, please use the link at thebottomof each topic titled: “Help improve this document in the forum.” This link will take you to the Server Discourse forum for the specific page you are viewing. There you can share your comments or let us know aboutbugs with any page. PDFs and Previous Releases Below are links to the previous Ubuntu Server release server guides as well as an offline copy of the current version of this site: Ubuntu 20.04 LTS (Focal Fossa): PDF Ubuntu 18.04 LTS (Bionic Beaver): Web and PDF Ubuntu 16.04 LTS (Xenial Xerus): Web and PDF Support There are a couple of different ways that the Ubuntu Server edition is supported: commercial support and community support. The main commercial support (and development funding) is available from Canonical, Ltd. They supply reasonably- priced support contracts on a per desktop or per-server basis. For more information see the Ubuntu Advantage page. Community support is also provided by dedicated individuals and companies that wish to make Ubuntu the best distribution possible. Support is provided through multiple mailing lists, IRC channels, forums, blogs, wikis, etc. The large amount of information available can be overwhelming, but a good search engine query can usually provide an answer to your questions. -
Unprivileged GPU Containers on a LXD Cluster
Unprivileged GPU containers on a LXD cluster GPU-enabled system containers at scale Stéphane Graber Christian Brauner LXD project leader LXD maintainer @stgraber @brau_ner https://stgraber.org https://brauner.io [email protected] [email protected] What are system containers? They are the oldest type of containers 01 BSD jails, Linux vServer, Solaris Zones, OpenVZ, LXC and LXD. They behave like standalone systems 02 No need for specialized software or custom images. No virtualization overhead 03 They are containers after all. LXD System nova-lxd command line tool your own client/script ? container LXD REST API manager LXD LXD LXD LXD LXC LXC LXC LXC Linux kernel Linux kernel Linux kernel Linux kernel Host A Host B Host C Host ... What LXD is Simple 01 Clean command line interface, simple REST API and clear terminology. Fast 02 Image based, no virtualization, direct hardware access. Secure 03 Safe by default. Combines all available kernel security features. Scalable 04 From a single container on a laptop to tens of thousands of containers in a cluster. What LXD isn’t Another virtualization technology 01 LXD offers an experience very similar to a virtual machine. But it’s still containers, with no virtualization overhead and real hardware. A fork of LXC 02 LXD uses LXC’s API to manage the containers behind the scene. Another application container manager 03 LXD only cares about full system containers. You can run whatever you want inside a LXD container, including Docker. LXD Main Certificates components Cluster Containers Snapshots Backups Events Images Aliases Networks Operations Projects Storage pools Storage volumes Snapshots LXD clustering Built-in clustering support 01 No external dependencies, all LXD 3.0 or higher installations can be instantly turned into a cluster.