USM Anywhere Deployment Guide
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Dell Local Government Solutions
Dell local government solutions The Dell difference Delivering an agile, efficient and scalable architecture which is enabling local authorities to transform their services and drive down costs. Dell local government solutions - meet the other Dell Mobilising the workforce As a professional working in local government you will be aware of the role of technology in the Empowering a more mobile and agile workforce with anytime, anywhere, successful delivery of services to users, efficient processes, cost-saving opportunities and the any device access. transformation of services and working practices. What you may not know is that Dell has partnered with councils and local government organisations across the UK for over 25 years to deliver solutions and services that empower local government staff and citizens, connect communities and improve service delivery. With a dedicated team of local government specialists, our solutions have tackled just about every IT operational issue faced in local government, from the modernisation of data centres to the setting-up of shared infrastructure services, such as the one recently deployed for the Scottish Fire and Rescue Service. Government cloud computing With dedicated local government account teams and specialists across the country, we Helping organisations understand if, and how, they can take advantage understand both the challenges facing leadership teams within local government and the of cloud technologies. technology needed to overcome them. In recent years, Dell has undertaken an extensive strategic acquisition programme designed to help customers to: • Reduce CapEx through the commoditisation and standardisation of everything in their infrastructures. • Reduce OpEx by driving automation and manageability across not only Dell solutions but those of other vendors too. -
Implementation of Centralized Logging and Log Analysis in Cloud Transition
Implementation of Centralized Logging and Log Analysis in Cloud Transition Antti Vainio School of Science Thesis submitted for examination for the degree of Master of Science in Technology. Espoo 3.7.2018 Supervisor Prof. Jukka Suomela Advisor MSc Cyril de Vaumas Copyright ⃝c 2018 Antti Vainio Aalto University, P.O. BOX 11000, 00076 AALTO www.aalto.fi Abstract of the master’s thesis Author Antti Vainio Title Implementation of Centralized Logging and Log Analysis in Cloud Transition Degree programme Computer, Communication and Information Sciences Major Computer Science Code of major SCI3042 Supervisor Prof. Jukka Suomela Advisor MSc Cyril de Vaumas Date 3.7.2018 Number of pages 84 Language English Abstract Centralized logging can be used to collect log data from multiple log files on multiple separate server machines and transmit the data to a single centralized location. Log analysis on top of that can automatically process large amounts of logs for various different purposes including problem detection, troubleshooting, monitoring system performance, identifying security incidents, and understanding user behavior. As the volume of log data is growing when software systems, networks, and services grow in size, the log data located on multiple separate server machines can be difficult to manage. The traditional way of manually inspecting logs hasalso become too labor-intensive and error-prone when large amounts of log data need to be analyzed. Setting up centralized logging and automatic log analysis systems can be used to solve this problem. This thesis explains the concepts of log data, centralized logging, and log analysis, and also takes a look at existing software solutions to implement such a system. -
D1.5 Final Business Models
ITEA 2 Project 10014 EASI-CLOUDS - Extended Architecture and Service Infrastructure for Cloud-Aware Software Deliverable D1.5 – Final Business Models for EASI-CLOUDS Task 1.3: Business model(s) for the EASI-CLOUDS eco-system Editor: Atos, Gearshift Security public Version 1.0 Melanie Jekal, Alexander Krebs, Markku Authors Nurmela, Juhana Peltonen, Florian Röhr, Jan-Frédéric Plogmeier, Jörn Altmann, (alphabetically) Maurice Gagnaire, Mario Lopez-Ramos Pages 95 Deliverable 1.5 – Final Business Models for EASI-CLOUDS v1.0 Abstract The purpose of the business working group within the EASI-CLOUDS project is to investigate the commercial potential of the EASI-CLOUDS platform, and the brokerage and federation- based business models that it would help to enable. Our described approach is both ‘top down’ and ‘bottom up’; we begin by summarizing existing studies on the cloud market, and review how the EASI-CLOUDS project partners are positioned on the cloud value chain. We review emerging trends, concepts, business models and value drivers in the cloud market, and present results from a survey targeted at top cloud bloggers and cloud professionals. We then review how the EASI-CLOUDS infrastructure components create value both directly and by facilitating brokerage and federation. We then examine how cloud market opportunities can be grasped through different business models. Specifically, we examine value creation and value capture in different generic business models that may benefit from the EASI-CLOUDS infrastructure. We conclude by providing recommendations on how the different EASI-CLOUDS demonstrators may be commercialized through different business models. © EASI-CLOUDS Consortium. 2 Deliverable 1.5 – Final Business Models for EASI-CLOUDS v1.0 Table of contents Table of contents ........................................................................................................................... -
Why the Dell / EMC Combination Makes Sense for Customers
Why the Dell / EMC Combination Makes Sense for Customers Synergistic product portfolio and go-to-market strategies have potential to set IT customers up for success in the digital economy Executive Summary One of the biggest technology deals in history at over $60 billion is about to unfold as Dell prepares to buy EMC. At EMC World in May 2016, Michael Dell made this acquisition more real than ever when he announced the new entity’s name, Dell Technologies, which will be an umbrella brand for the collection of companies that will include enterprise and client solutions and services, and other strategic assets including VMware, Pivotal, RSA, Virtustream, and SecureWorks. With just a few major milestones to go, it appears that all is on track for the companies to merge the enterprise organizations as Dell EMC under the umbrella brand and to begin operating as one by around mid-year. Dell and EMC are positioning themselves as the path to the cloud for IT customers. Moor Insights & Strategy (MI&S) believes Dell’s leadership in compute and EMC’s leadership in storage and converged infrastructure have the potential to become building blocks for a one-stop shop for enterprise datacenter customers. Other assets such as security, virtualization software, and cloud solutions can help round out the portfolio. Moreover, Dell’s client computing business and IoT practices can bring insight into client computing and IoT models that will be key drivers for future datacenter requirements. Dell EMC should focus on continuing to build up their networking business and making it a more cohesive part of their end-to-end datacenter story. -
NXLOG Community Edition Reference Manual for V2.9.1716 I
Ed. v2.9.1716 NXLOG Community Edition Reference Manual for v2.9.1716 i NXLOG Community Edition Reference Manual for v2.9.1716 Ed. v2.9.1716 Ed. v2.9.1716 NXLOG Community Edition Reference Manual for v2.9.1716 ii Copyright © 2009-2014 NXLog Ltd. Ed. v2.9.1716 NXLOG Community Edition Reference Manual for v2.9.1716 iii Contents 1 Introduction 1 1.1 Overview . .1 1.2 Features . .1 1.2.1 Multiplatform . .1 1.2.2 Modular architecture . .1 1.2.3 Client-server mode . .2 1.2.4 Log message sources and destinations . .2 1.2.5 Importance of security . .2 1.2.6 Scalable multi-threaded architecture . .2 1.2.7 High performance I/O . .2 1.2.8 Message buffering . .2 1.2.9 Prioritized processing . .3 1.2.10 Avoiding lost messages . .3 1.2.11 Apache-style configuration syntax . .3 1.2.12 Built-in config language . .3 1.2.13 Scheduled tasks . .3 1.2.14 Log rotation . .3 1.2.15 Different log message formats . .4 1.2.16 Advanced message processing capabilites . .4 1.2.17 Offline processing mode . .4 1.2.18 Character set and i18n support . .4 2 Installation and quickstart 5 2.1 Microsoft Windows . .5 2.2 GNU/Linux . .6 2.2.1 Installing from DEB packages (Debian, Ubuntu) . .6 2.2.2 Installing from RPM packages (CentOS, RedHat) . .6 2.2.3 Configuring nxlog on GNU/Linux . .6 Ed. v2.9.1716 NXLOG Community Edition Reference Manual for v2.9.1716 iv 3 Architecture and concepts 7 3.1 History . -
Nxlog Community Edition Reference Manual
NXLog Community Edition Reference Manual NXLog Ltd. Version 2.10.2150, November 2018 Table of Contents 1. Man Pages. 1 1.1. nxlog(8) . 1 1.2. nxlog-processor(8) . 3 2. Configuration . 5 2.1. General Directives . 5 2.2. Global Directives . 6 2.3. Common Module Directives. 7 2.4. Route Directives. 12 3. Language. 15 3.1. Types . 15 3.2. Expressions. 15 3.3. Statements . 24 3.4. Variables . 26 3.5. Statistical Counters . 26 3.6. Functions. 28 3.7. Procedures . 31 4. Extension Modules . 34 4.1. Character Set Conversion (xm_charconv) . 34 4.2. Delimiter-Separated Values (xm_csv) . 35 4.3. External Programs (xm_exec) . 39 4.4. File Operations (xm_fileop) . 41 4.5. GELF (xm_gelf) . 44 4.6. JSON (xm_json). 48 4.7. Key-Value Pairs (xm_kvp) . 51 4.8. Multi-Line Parser (xm_multiline) . 60 4.9. Perl (xm_perl) . 68 4.10. Syslog (xm_syslog) . 71 4.11. WTMP (xm_wtmp) . 83 4.12. XML (xm_xml). 84 5. Input Modules . 88 5.1. Fields . 88 5.2. DBI (im_dbi) . 88 5.3. External Programs (im_exec) . 89 5.4. Files (im_file) . 90 5.5. Internal (im_internal). 93 5.6. Kernel (im_kernel) . 95 5.7. Mark (im_mark) . 96 5.8. EventLog for Windows XP/2000/2003 (im_mseventlog). 97 5.9. EventLog for Windows 2008/Vista and Later (im_msvistalog) . 100 5.10. Null (im_null) . 105 5.11. TLS/SSL (im_ssl) . 105 5.12. TCP (im_tcp) . 107 5.13. UDP (im_udp) . 108 5.14. Unix Domain Sockets (im_uds) . 109 6. Processor Modules . 111 6.1. Blocker (pm_blocker) . .. -
Facing the Challenge(S) of Windows Logs Collection to Leverage Valuable Iocs
Facing the challenge(s) of Windows logs collection to leverage valuable IOCs . Michel de Crevoisier Security Analyst, Radar Cyber Security 15.10.2019, Berne © RadarServices // Classification: Public The five challenges © RadarServices // Classification: Public #1 High diversity of log sources Server Microsoft 3rd party Built-in roles software software Advanced Threat ADFS Application Analytics (ATA) Ivanti software Certification authority Exchange PowerShell Kaspersky DHCP server Skype Security DNS server SQL Server Veeam Backup System IIS web server SYSMON […] […] NPS Radius Defender © RadarServices // Classification: Public 3 #2 Different log extensions EVTX ETL TXT (standard Windows logs (analytical logs, like DNS (IIS, NPS, DHCP, in XML format) Server or PowerShell) PowerShell Transcript, former DNS logs) © RadarServices // Classification: Public 4 #3 Multiple architectural approaches Access method / Protocol (MS-EVEN6, RPC, WMI,…) Push vs Pull Agent vs Agentless Intermediate collector VS Direct sending to receiver Central file store vs Shared folder Managed agent VS Unmanaged agent © RadarServices // Classification: Public 5 #4 Disabled and restrictive event logs • Protected users (if configured, on DCs only) Valuable event • LSA (Local Security Authority) logs disabled • IIS web server • DNS client Event logs with • SMB server restrictive • SMB client access • IIS web server © RadarServices // Classification: Public 6 6 #5 Operational constraints Security Data exchange Performance Configuration Environment • Avoid usage of • Data -
Using Nxlog with Elasticsearch and Kibana I
Using NXLog with Elasticsearch and Kibana i Using NXLog with Elasticsearch and Kibana Using NXLog with Elasticsearch and Kibana ii Contents 1 Setting up Elasticsearch and Kibana 1 1.1 Installing Elasticsearch . .1 1.2 Installing Kibana . .1 2 Loading data into Elasticsearch with NXLog2 2.1 Loading data with om_elasticsearch . .2 2.2 Loading data with om_http . .4 2.3 Using Logstash . .5 Using NXLog with Elasticsearch and Kibana 1 / 6 Elasticsearch coupled with the Kibana frontend has become quite popular recently as a low-cost centralized log monitoring solution. This is commonly referred to as the ELK stack comprised of Elasticsearch, Logstash and Kibana. While Logstash is a great piece of software it has some disadvantages compared to NXLog: • Logstash is written in ruby and requires Java to run. Besides being a lot more hungry on system resources, many system administrators would rather not take the hassle of deploying the Java runtime onto their production servers and needing take care of the Java security updates. • The Eventlog plugin in Logstash pulls the eventlog data through the Windows WMI interface which incurs a significant performance penalty. NXLog hooks directly into the Windows EventLog API natively and can collect logs from our highly loaded Domain Controllers also. • It’s just one more piece of software to take care about. NXLog is a small and efficient log collector that can be set up to securely and reliably centralize event data from Windows and Unix platforms. As such, NXLog is recommended by many ELK users as the log collector of choice for Windows and Linux. -
Dell Technologies1 Partner Program Incentive Terms and Conditions LATAM
Dell Confidential Dell Technologies1 Partner Program Incentive Terms and Conditions LATAM As a member in good standing in the Dell Technologies Partner Program certain resellers (“Partner” or “Partners”) may be eligible to participate in incentive programs (“Program” or Incentive Program”) including but not limited to, special discounts, rebates, sales spiffs, promotions or contests, and marketing development funds (MDF) programs (“Incentive” or collectively “Incentives”). The following Dell Technologies Partner Program Incentive Terms and Conditions (“Incentive Terms”), unless otherwise agreed to in writing by Dell Technologies, apply to a Partner’s participation in any and all Dell Technologies Partner Program Incentives. Unless otherwise specified in these Incentive Terms, any terms and definitions used herein have the meanings ascribed to them in the Dell Technologies Partner Program Agreement. These Incentive Terms are supplemental and subject to the Dell Technologies Partner Program Agreement, and together with the Benefits and Requirements documents for the applicable Partner Track, set forth the terms and conditions governing Partner eligibility, type, structure, and amount of any Incentive and constitute the entire agreement (“Agreement”) between Dell Technologies and Partner with respect to all Incentives. The Benefits and Requirements document may be found on the Dell Technologies Partner Portal located here: https://www.delltechnologies.com/partner/es-mx/partner/partner.htm This Agreement supersedes any and all prior agreements and understandings regarding any Incentives, whether established by custom, practice, procedure or precedent, including without limitation all prior incentive program terms and conditions or business rules offered to a certain class of Partner in the current Dell Technologies Partner Program, the former Dell PartnerDirect Program, or EMC Business Partner Program. -
Stacking Dell Networking Switches: N4032, N4032F, N4064, N4064F
Stacking Dell Networking Switches: N4032, N4032F, N4064, N4064F Dell Engineering February 2014 A Dell Deployment and Configuration Guide Revisions Date Description Author(s) February 2014 Initial Release Victor Teeter THIS PAPER IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES. THE CONTENT IS PROVIDED AS IS, WITHOUT EXPRESS OR IMPLIED WARRANTIES OF ANY KIND. © 2014 Dell Inc. All rights reserved. Reproduction of this material in any manner whatsoever without the express written permission of Dell Inc. is strictly forbidden. For more information, contact Dell. PRODUCT WARRANTIES APPLICABLE TO THE DELL PRODUCTS DESCRIBED IN THIS DOCUMENT MAY BE FOUND AT: http://www.dell.com/learn/us/en/19/terms-of-sale-commercial-and-public-sector Performance of network reference architectures discussed in this document may vary with differing deployment conditions, network loads, and the like. Third party products may be included in reference architectures for the convenience of the reader. Inclusion of such third party products does not necessarily constitute Dell’s recommendation of those products. Please consult your Dell representative for additional information. Trademarks used in this text: Dell™, the Dell logo, Dell Boomi™, Dell Precision™ ,OptiPlex™, Latitude™, PowerEdge™, PowerVault™, PowerConnect™, OpenManage™, EqualLogic™, Compellent™, KACE™, FlexAddress™, Force10™ and Vostro™ are trademarks of Dell Inc. Other Dell trademarks may be used in this document. Cisco Nexus®, Cisco MDS®, Cisco NX-0S®, and other Cisco Catalyst® are registered trademarks of Cisco System Inc. EMC VNX®, and EMC Unisphere® are registered trademarks of EMC Corporation. Intel®, Pentium®, Xeon®, Core® and Celeron® are registered trademarks of Intel Corporation in the U.S. -
An Exploratory Semantic Analysis of Logging Questions
Received: Added at production Revised: Added at production Accepted: Added at production DOI: xxx/xxxx An Exploratory Semantic Analysis of Logging Questions Harshit Gujral*1 | Sangeeta Lal2 | Heng Li3 1Department of Computer Science Engineering and Information Abstract Technology, Jaypee Institute of Information Technology, Noida, India. Logging is an integral part of software development. Software practitioners often face issues Email: [email protected] in software logging, and they post these issues on Q&A websites to take suggestions from 2Lecture Data Science, School of Computing and Mathematics, Keele the experts. In this study, we perform a three-level empirical analysis of logging questions University, Keele, United Kingdom. posted on six popular technical Q&A websites, namely Stack Overflow (SO), Serverfault Email: [email protected] 3Department of Computer and Software (SF), Superuser (SU), Database Administrators (DB), Software Engineering (SE), and Engineering, Polytechnique Montréal, Android Enthusiasts (AE). The findings show that logging issues are prevalent across var- Montréal, Canada. Email: [email protected] ious domains, e.g., database, networks, and mobile computing, and software practitioners from different domains face different logging issues. The semantic analysis of logging ques- Correspondence *Corresponding author. tions using Latent Dirichlet Allocation (LDA) reveals trends of several existing and new logging topics, such as logging conversion pattern, android device logging, and database logging. In addition, we observe specific logging topics for each website: DB (Log shipping, Log file growing/shrinking), SU (Event Log, Syslog configuration), SF (Log analysis, Sys- log configuration), AE (App Install, Usage tracking), SE (Client server logging, Exception logging), and SO (Log file creation/deletion, Android Emulator Logging, Logger class of log4j). -
SLED Plan 1H FY20
The Essentials of Esports for K12 Agenda • Speaker Introductions • What is Esports? • Panel Discussion • Dell Esports Solutions for Education • Q&A 2 of 25 Dell – Internal Use – Confidential Presenters Kyle Berger Chief Technology Officer Grapevine-Colleyville ISD @edtechcto John McCarthy Education Technology Consultant, Advanced Learning Partnerships @JMcCarthyEdS Juan “hungrybox” DeBiedma Pro-gamer for Team Liquid Super Smash Bros world champion Ranked #1 @LiquidHbox Omar Ali HS Educator 2019 Lindback Foundation Distinguished Teaching Award Reciepient 3 of 25 Dell – Internal Use – ConfidentialPhiladelphia School District Esports in Education 4 of 25 Dell – Internal Use – Confidential What is esports? Multiplayer video games played competitively for spectators 5 of 25 Dell – Internal Use – Confidential Esport tournament viewers Esports as an Industry 7 of 25 Dell – Internal Use – Confidential Why esports in education? • Following student interests - 70% of students are gaming • Engaging students who have not participated in other campus activities • Students are forming their own clubs • Minimum GPA standards for participation in varsity and club programs • Potential to offset tuition and education expenses • STEAM and esports are a great fit together 8 of 25 Dell – Internal Use – Confidential The rise of high school esports High schools are creating esports programs to engage students, build school culture and promote career and college readiness. High School Organizations Website High School eSports League https://www.highschoolesportsleague.com/