DOCSLIB.ORG

Arcgis Enterprise: Performance and Scalability Testing Methodologies

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Arcgis Enterprise: Performance and Scalability Testing Methodologies ArcGIS Enterprise: Performance and Scalability Testing Methodologies Andrew Sakowicz, [email protected], Professional Services Motivation Growing complexity of ArcGIS Enterprise Requires dependable infrastructure Certificates Load balancer Firewall ArcGIS Web Adaptor Portal for ArcGIS ArcGIS Server Storage with immediate consistency ArcGIS Data Store Database Identify typical cases Overload System: -users -services Identify typical cases Unstable Infrastructure: -Network -NAS -VMWare Identify typical cases Bottlenecks: -configuration -maintenance -workflows Administration Challenges • Multiple administrators • Multiple disparate monitoring/diagnostic tools • Data collected in a reactive fashion: on demand and for limited time • Correlation of data with different timestamp is difficult • ArcGIS administrators do not have access to all tools, data and reports • Challenging to quickly identify the root cause and take appropriate measures When problems arise, what is the root cause? Definitions Performance • Speed, e.g. response time (seconds) Scalability • The ability to increase output and maintain acceptable performance Capacity • The maximum level of output the system can produce, e.g. • X cars/sec • X maps/sec At capacity Over capacity Bottleneck • Resource(s) limiting the performance or capacity Not bottleneck bottleneck Think of : Lanes -as CPU processor Toll -as ArcGIS Server instances Cars -as map requests Step Load and Response Time Step Load (users) Response Time (sec) time Throughput (request/hr) Step Load (users) Throughput(req/hr) Response Time (sec) time Resource utilization: CPU, Memory, Network Step Load (users) Throughput(req/hr) CPU Utilization (%) Network used (Mbps) Response Time (sec) Memory used (Mb) time Capacity User load Throughput(req/hr) CPU Utilization (%) Network used (Mbps) Response Time (sec) Capacity (~ 85% utilization) Memory used (Mb) Content length (bytes) Time Process and tools Process and tools Esri tools Process and tools Esri tools Tools download location • ArcGIS Monitor - https://my.esri.com/ • Others - http://www.arcgis.com - owner:EnterpriseImp - Show ArcGIS Desktop Content Performance Testing Tuning methodology Profile each tier starting from the top Browser Total Response t1 t2 Time (t1-t2) Web Server Wait Time ArcGIS Server Usage Time ArcSOC Search & ArcSDE/DBMS Retrieval Time Fiddler Fiddler measurement approximately 5.2 seconds Mxdperfstat http://www.arcgis.com/home/item.html?id=a269d03aa1c840638680e2902dadecac Oracle Trace Compare elapsed time Elapsed time slightly changed due to different test runs Oracle Execution plan Inefficient spatial index Testing process Application GIS Services Infrastructure: Hardware and Software Test tools feature comparison Tool Cost Learning OS Metrics GIS Data GIS Test Curve Generation Automation Load Runner High High Windows/Linux No No Visual Studio Medium High Windows No No JMeter Free High Requires additional No No plugin System Test Free Low Windows/Linux Yes Yes Tech Support by Esri PS as part of consulting support Performance testing • Identify bottlenecks • Determine system capacity • Demonstrate performance SLA Value System Test Tool features ArcGIS Monitor End to end Actionable information Alerts: actionable information Starting point for troubleshooting Analyze Available in 10.6.1 Charts and Stats Details Source alert groups Charts and stats Details Availability Aggregated view based on Critical alerts • Downtime defined only by Critical alerts 36 Categories End to end Web • Response Time • HTTP code ArcGIS • Server • Portal • GeoEvent • GeoAnalytics • ArcSOC Optimizer Additional portal stats coming soon, e.g. dependent items, views per item, users ArcGIS: WebGIS Health • Severity • Healthy ArcSOC Optimizer Setting min / max instances across 100 to 1000s of services in dynamic environments is challenging Database • ArcGIS Datastore • Oracle • SQL Server AWS RDS and SQL Azure coming soon Infrastructure CPU, Memory, Disk, Network, Load Balancer stats Monitor network between ArcGIS components Critical to have communication to config store and nodes Web Server Web Adapter ArcGIS Server Usage User stats • Transactions • Response Time • HTTP Codes GeoInfo Requests per user IP Get Started https://enterprise.arcgis.com/en/monitor/latest/get-started/arcgis-monitor-system-requirements.htm Demo site – the latest features https://arcgismonitor.esri.com/ Gallery: https://arcgismonitor.maps.arcgis.com • Tutorials • Video • Extensions / Tasks https://www.arcgis.com/home/group.html?id=58d996e9b40d45439d298d14fa309534&start=1&view=list&sortOrder=asc&sortField=owner#content Use Case: NOAA National Weather Service IDP GIS Program NOAA National Weather Service IDP GIS Program • 24 x 7 High Availability (HA) • Service Level Agreement (SLA) • High volume of requests High volume of requests Service Update Frequency Performance Nominal Map/Image requests (Est) Peak Workflow Map/Image requests (Est) Watches\Warnings and 1 minute \ Light Vector 10K Hr 100K Hr Advisories 10 minutes Daily Global Precipitation Daily Light Raster 1K Hr 10K Hr Radar (1x1 km base reflectivity) 5 minutes Light Raster 20K Hr 200K Hr NDFD Temperature 15 minutes Heavy Raster 1K Hr 20K Hr 1 hour Hurricane Tracks/Wind/Surge 10 minutes or less Light Vector 1K Hr 100K Hr AHPS gauges 15 minutes Light Vector 1K Hr 10K Hr Flood Outlook Product Daily Light Vector 1K Hr 10K Hr CPC Weather Hazards Daily Light Vector 10K Hr 100K Hr Quantitative Precipitation 15 minutes Light Vector 1K Hr 10K Hr Forecast (QPF) Weather Features Daily Light Raster 1K Hr 10K Hr Sea Surface Temp Daily Light Raster 1K Hr 10K Hr NDFD Wind Velocity Forecasts 1 hour Light Raster 1K Hr 10K Hr Tools • Big Brother (NOAA internal system of record) • Nagios Check MK (SA’s system of ‘preference’) • System Monitor • System Test • JMeter • mxdperfstat Nagios - Check MK System Monitor KPI currently released as ArcGIS Monitor GIS Server/Service Key Performance Indicators (KPI) System Monitor (Reports) currently released as ArcGIS Monitor • Tr/Sec • Free System Monitor (Reports) currently released as ArcGIS Monitor • CPU • Mem System Test • Individually test services that we expect to receive high traffic to define a service throughput baseline given a certain min/max instance configuration • Investigate/analyze performance for services that have been alerting as slow or non- responsive in Big Brother • Develop test extents/parameter files to be exported using custom python scripts so that they can be configured in long running system wide load tests performed by the SA’s using JMeter System Test System Test System Test System Test JMeter mxdperfstat • Been around for a while and still very useful • Easy to batch script • All service sponsor provided map documents were tested using mxdperfstat to identify cases where poor configuration could impact server performance mxdperfstat • 1.59 seconds may not seem horrible but this service is expected to see very heavy traffic and accounts for 6 instances on 8 servers. • Improvements to the cartography could make a noticeable difference in overall server performance and/or free resources for other services Summary Process and tools Esri tools ArcGIS Monitor: Optimize Your Enterprise GIS Deployments • Monitor the health, usage, SLA • Improve performance • Reduce administration costs • Quickly diagnose: - Unstable infrastructure - Overloaded system - Bottlenecks Scalable and non-intrusive: Used by Esri Managed Cloud Services to Monitor 500+ GIS Servers Print Your Certificate of Attendance Print stations located in the 140 Concourse Tuesday Wednesday 12:30 pm – 6:30 pm 10:30 am – 5:15 pm GIS Solutions Expo GIS Solutions Expo Hall B Hall B 5:00 pm – 6:30 pm 6:30 pm – 9:00 pm GIS Solutions Expo Social Networking Reception Hall B Smithsonian National Portrait Gallery Please Take Our Survey in the Esri Events App Download the Esri Events Select the session Scroll down to find the Complete answers app and find your event you attended feedback section and select “Submit” .
Load more

Recommended publications
  • Supervision Utilisation De Check-MK
    Supervision Utilisation de Check-MK Réseau Min2Rien Journée Thématique « retour d’expériences » - 13/02/2014 NICOLAS JAMIN – Administrateur Système – DSI de l’Académie de LILLE Supervision: Utilisation de Check-MK Plan . Présentation . Fonctionnement / Configuration . Création de scripts (Présentation et exemple) . Utilisation / Capture d’écran . Livestatus / Multisite Nicolas JAMIN – DSI de l’Académie de LILLE 14/02/2014 2 Supervision: Utilisation de Check-MK Presentation . Check-MK : add-on de supervision écrit en python . Nagios utilise des plugins de type actif 1 plugin = 1 service Exécution côté Nagios • Exemple: check_disk = test de l’espace disque . Check-MK utilise des plugins de type passif 1 plugin ~ 30 tests de base Exécution côté Client • Exemple: check_mk = check_disk + check_mem + check_ps + … . Forte baisse du taux d’utilisation des CPUs sur Nagios grâce à Check-MK . Remplace les plugins de type NRPE, NSCLIENT ++ Nicolas JAMIN – DSI de l’Académie de LILLE 14/02/2014 3 Supervision: Utilisation de Check-MK Fonctionnement Nicolas JAMIN – DSI de l’Académie de LILLE 14/02/2014 4 Supervision: Utilisation de Check-MK Configuration (sur le serveur NAGIOS) . Fichier main.mk Contient la configuration générale (seuil d’alerte, exclusions des services …) • Inventory_df_exclude_mountpoints = [‘/dev’,’/mnt/vzsnap0’] • Filesystem_default_level[‘levels’] = (90.0, 95.0) . Fichier tcp_hosts.mk Contient les hosts et hostgroups des serveurs auxquels ils appartiennent. • template124.expr.in.ac-lille.fr|linux|apt|openvz|ubuntu12 . Fichier hostgroups.mk Contient la définition des hostgroups. • (‘Serveurs Ubuntu 12.04’, [ ‘ubuntu12’ ], ALL_HOSTS), Nicolas JAMIN – DSI de l’Académie de LILLE 14/02/2014 5 Supervision: Utilisation de Check-MK Configuration (sur le serveur NAGIOS) . Plus aucune configuration côté Nagios Core • /etc/nagios/host.cfg, /etc/nagios/hostgroup.cfg … .
    [Show full text]
  • The Checkmk Roadmap
    Agenda 1.Recap: What’s coming for Checkmk 1.7 Insert Picture Here 2.The next 100+ features 3.The next big topics 2 Most features are nearing completion 0% 100% User Experience Cloud & Containers Network Monitoring Automation & Extensibility Performance + Extend the monitoring base 3 Only project in early stage: Redesigning the UX 0% 100% User Experience Redesigned user experience Raw Edition: Modern graphing + Grafana integration Improved reporting New dashlets and dashboard usability Pre-built intelligent dashboards Tags & Labels Forecast graphs and historic data painters 4 Nearly finished with Cloud & Containers for 1.7 0% 100% Cloud & Containers Prometheus integration Extended Kubernetes Monitoring Improved Dynamic Configuration More AWS plug-ins More Azure plug-ins 5 Finishing up ntop integration as main topic 0% 100% Network Monitoring ntop integration: Traffic dashboard ntop integration: Alerts ntop integration: Flows ntop integration: Host details VPN Monitoring More plug-ins for network monitoring 6 Check-API on final spurt, REST-API progressing 0% 100% Automation & Extensibility Check-, Inventory- and Bakery-API REST-API Distributed agent bakery and bakery configurability New notification plug-ins 7 Major performance improvements still underway 0% 100% Performance More scalability for check helpers Activate Changes: Incremental sync of configuration WATO improvements 8 Many checks done, more to come :-) 0% 100% + Extend the monitoring base New and extended plug-ins already done 9 New: Feature Packs ⬢ A lot of useful features are
    [Show full text]
  • Ausreißer Check Mk
    05/2014 Check_mk als Nagios-Alternative Titelthema Ausreißer Check_mk 34 Check_mk hat zurzeit Rückenwind: Es gilt nicht mehr als schnödes Nagios-Plugin und seine Oberfläche Multi- site lässt die Konkurrenz alt aussehen. Doch wird Check_mk diesem Ruf in der Praxis gerecht? Holger Gantikow www.linux-magazin.de wachen will und wie er alle Ergebnisse in einem Rutsch zurück. dies möglichst optimal Das erfordert nur eine einzige Verbin- mittels Hostgruppen und dung (Abbildung 1, rechts). Templates abbildet, da- Auch Nagios wertet anders aus: Mit dem mit seine Konfiguration Nagios Remote Plugin Executor (NRPE) wartbar bleibt. Zugleich stupst es in der Regel ein Plugin auf dem wächst aber die Last auf Host an, das etwa die RAM-Auslastung dem Nagios-Server mit je- misst. Das Plugin erhält einige Schwel- der Erweiterung: Je mehr lenwerte und liefert einen Status zurück Dienste und Hosts dieser (»OK«, »Warning«, »Critical«). überwacht, desto mehr Check_mk bewertet die Ergebnisse hin- wird die Serverhardware gegen erst auf dem Server. Dies hat den zum Engpass. Die Anzahl positiven Nebeneffekt, dass die Agents der „aktiven Checks“ pro auf den zu überwachenden Hosts keine Prüfintervall bestimmt, weitere Konfiguration benötigen. Der wie leistungsfähig der Check_mk-Server filtert die von den Server sein muss (Abbil- Agenten gelieferten Daten mit Hilfe der © Ljupco Smokovski, 123RF Smokovski, © Ljupco dung 1, links). Konfigurationsparameter und Schwellen- werte, die der Admin festgelegt hat, und Wer den Zustand von mehr als einer Check_mk am Start schickt die Ergebnisse an Nagios weiter. Handvoll Systeme im Blick behalten möchte, muss auf handgestrickte Shell- Speziell gegen diese beiden Probleme, Testlauf skripte oder gelegentliche Kontrollen gegen die komplexe Konfiguration und verzichten und braucht ein vollwertiges die hohe Serverlast, möchte Check_mk Ob Check_mk hält, was es verspricht, Monitoring.
    [Show full text]
  • Automate Monitoring with Salt and Checkmk
    Automate Monitoring with Salt and Checkmk _ Philipp Lemke February / 2020 ConfigManagementCamp Ghent Agenda 1. About me 2. Project salt-checkmk 3. Salt & Checkmk Synergies 4. Setting up a monitoring environment from scratch 4.1. Install Checkmk 4.2. Add your Salt-Minions automatically to checkmk 4.3. Install checkmk Monitoring Agents via Salt 4.4. Use Salt Grains to define Rules in checkmk 5. Checkmk Notifications / Salt Event Bus / Reactors 5.1. ACL Definitions 5.2. Install Notification Plugin & Define Rule 5.3. Define Salt Reactor Config & Reactor 5.4. Invoke Orchestration Runner 5.5. Example(s) About me Philipp Lemke Trier / Germany @Agfa HealthCare @Sideline Solution Architect AMS Freelancer / Consultant Automation / Monitoring [email protected] [email protected] www.philipp-lemke.de www.agfahealthcare.com Github: PhilippLemke Project salt-checkmk https://github.com/tribe29/salt-checkmk States / Modules Documentation Formula Execution- & State Modules In Salt & Checkmk User Content provided as Salt SLS Example States context Formula Synergies ■ Intelligent Automation ■ Intelligent Monitoring ■ Python Environment ■ Detailed Health Info ■ Asset Data (Grains) ■ Notifications Both ■ Compatible with most OS ■ Written in Python ■ Scalability: Master-of-Masters Concept Distributed Topology Support Master-of-Masters Salt Syndic Minions Checkmk Master Checkmk Slave Hosts Central Data Center Remote Sites / Data Centers Setting up Checkmk & Minion Monitoring Starting Point Salt Environment with Master & Minions Salt Master Minions CentOS Ubuntu
    [Show full text]
  • JOB DESCRIPTION Devops
    Trobz ­ Open Source Solutions for the Enterprise 4th floor, 47/2/57 Bui Dinh Tuy street, Binh Thanh district, HCMC, Vietnam trobz.com JOB DESCRIPTION DevOps You will work with various internal teams at Trobz and build the tools to manage, deploy, monitor and scale our Infrastructure. DevOps at Trobz means between 20% to 80% Dev / Ops mixed role. Focus on backend software engineering, data processing, APIs, internal tools, SQL / DBA, etc. on the developer side. Focus on unix systems engineering, infrastructure as code, virtualization and containers, network engineering, security, database architecture, continuous integration, and web scale production infrastructure on the Ops side. We use tools like Ubuntu Linux, Ansible, Gitlab/Gitlab CI, Check MK, PostgreSQL, Apache, Nginx, Proxmox, Docker and we write code mostly in Python and Javascript. Responsibilities ● Build cloud environments to a service specification you help develop ● Support the deployment of applications into those environments ● Design new environments and architectures ● Build tools and monitoring ● Advance the art and do cool stuff Requirements ● Must have a degree in information technology ● 2+ years of experience "doing" DevOps, including working at large scale with real, highly concurrent, user traffic ● Experience with managing production virtualized environments on cloud ● Solid hands on skills with at least roughly 50% of the following: Apache, Nginx, Docker, Network Analysis Tools, Linux, CLI Tools, Python, Bash, Git, DNS, HTTP Headers, HTTP Caching, SSL, RESTFUL APIs, PostgreSQL, Check MK, Ansible ● Must be focused on quality, efficiency and continuous improvement ● Must be able to read and write in English .
    [Show full text]
  • For Control Systems at Cern
    Evaluation of standard monitoring tools(including log analysis) for control systems at Cern August 2013 Author: Vlad Vintila Supervisor(s): Fernando Varela Rodriguez CERN openlab Summer Student Report 2013 CERN openlab Summer Student Report 2013 Project Specification The goal of this Openlab Summer Student project was to assess the implications and the benefits of integrating two standard IT tools, namely Icinga and Splunkstorm with the existing production setup for monitoring and management of control systems at CERN. Icinga – an open source monitoring software based on Nagios would need to be integrated with an in-house developed WinCC OA application called MOON, that is currently used for monitoring and managing all the components that make up the control systems. Splunkstorm – a data analysis and log management online application would be used stand alone, so it didn’t need integration with other software, only understanding of features and installation procedure. Abstract The aim of this document is to provide insights into installation procedures, key features and functionality and projected implementation effort of Icinga and Splunkstorm IT tools. Focus will be on presenting the most feasible implementation paths that surfaced once both software were well understood. CERN openlab Summer Student Report 2013 Table of Contents Project specification ........................................................................................................ 2 Abstract ...........................................................................................................................
    [Show full text]
  • Communication Solutions Mastering Network Technologies Company Profile
    Mastering Network Technologies Nash Technologies Communication Solutions Mastering Network Technologies Company Profile » Nash Technologies provides vendor-independent solutions in software and communications: embedded, high-available, and real-time. » We serve telecommunications, automotive, transportation, and other industries. » Our company is based in Germany, in Nuremberg, Stuttgart, and Cologne. » Spin-out of Alcatel-Lucent in 2008 (Nuremberg) and 2010 (Stuttgart) » Approx. 150 engineers » Revenues: approx. €20m in FY2015 » Global presence via partnership with Harvey Nash (professional recruitment and IT outsourcing), incl. off-shore capabilities via offices in Ho-Chi-Minh City and Hanoi (Vietnam) May 2017 Copyright Nash Technologies – All rights reserved 2 Mastering Network Technologies Our History Nash Technologies 1980 1992 1996 2006 2008 2010 2015 Nash Technologies GmbH Philips Kommunikations Nürnberg Industrie AG TeKaDe Nürnberg Stuttgart Standard Electric Lorenz AG Alcatel SEL Nash Technologies Stuttgart GmbH May 2017 Copyright Nash Technologies – All rights reserved 3 Mastering Network Technologies Our References Telecommunications Automotive Transportation Industry May 2017 Copyright Nash Technologies – All rights reserved 4 Mastering Network Technologies Our Positioning: Services & Solutions We help you transform your network to All-IP PHY / Ethernet / IP/MPLS Layer Application & Service Layer (IMS, OTT, Fixed, Network Management Mobile, Voice, Video, etc.) • Consulting & Network Architecture Definition • Consulting & Network
    [Show full text]
  • Pruebas De Vulnerabilidades Que Presenta La Red De Datos De La Institución, Para Generar Un Informe Del Estado Actual De La Misma
    UNIVERSIDAD NACIONAL DE LOJA ÁREA DE LA ENERGÍA, LAS INSDUSTRIAS Y LOS RECURSOS NATURALES NO RENOVABLES CARRERA DE INGENIERÍA EN SISTEMAS “Implementación de protocolos seguros y herramienta de monitoreo para la red de datos del Gobierno Autónomo Descentralizado Municipal de Loja” “Tesis previa a la Obtención del título de Ingeniero en Sistemas” Autores: Henry Cristian Cuesta Vega Franklin Rolando Mingo Morocho Director: Ing. Gabriela Viñán Rueda, Mg. Sc. Loja – Ecuador 2014 Certificación del Director Ingeniera Gabriela Viñán Rueda, Mg. Sc. DOCENTE DE LA CARRERA DE INGENIERÍA EN SISTEMAS DE LA UNIVERSIDAD NACIONAL DE LOJA CERTIFICA: Que el presente proyecto fin de carrera elaborado previo a la obtención del Título de Ingeniería en Sistemas, titulado: “Implementación de protocolos seguros y herramienta de monitoreo, para la red de datos del Gobierno Autónomo Descentralizado Municipal de Loja.”, realizada por los Egresados Henry Cristian Cuesta Vega y Franklin Rolando Mingo Morocho, cumple con los requisitos establecidos por las normas generales para la graduación en la Universidad Nacional de Loja, tanto en aspecto de forma como de contenido. Por lo tanto, autorizo proseguir los trámites legales para su presentación y defensa. Loja, 09 de octubre del 2014 _____________________________ Ing. Gabriela Viñán Rueda, Mg. Sc. DIRECTORA DE TESIS II AUTORÍA Nosotros Henry Cristian Cuesta Vega y Franklin Rolando Mingo Morocho declaramos ser autores del presente trabajo de tesis y eximimos expresamente a la Universidad Nacional de Loja y a sus representantes jurídicos de posibles reclamos o acciones legales por el contenido de la misma. Adicionalmente aceptamos y autorizamos a la Universidad Nacional de Loja, la publicación de nuestra tesis en el Repositorio Institucional - Biblioteca Virtual.
    [Show full text]
  • Analysis and Evaluation of Network Management Solutions a Comparison of Network Management Solutions Suitable for Networks with 2,500+ Devices
    DEGREE PROJECT IN COMPUTER ENGINEERING, FIRST CYCLE STOCKHOLM, SWEDEN 2016 Analysis and Evaluation of Network Management Solutions A Comparison of Network Management Solutions Suitable for Networks with 2,500+ Devices MURAT GABDURAHMANOV and SIMON TRYGG KTH ROYAL INSTITUTE OF TECHNOLOGY INFORMATION AND COMMUNICATION TECHNOLOGY Analysis and Evaluation of Network Management Solutions A Comparison of Network Management Solutions Suitable for Networks with 2,500+ Devices Murat Gabdurahmanov and Simon Trygg 2016-06-16 Bachelor of Science Thesis Examiner Gerald Q. Maguire Jr. Academic adviser Anders Västberg KTH Royal Institute of Technology School of Information and Communication Technology (ICT) Department of Communication Systems SE-100 44 Stockholm, Sweden c Murat Gabdurahmanov and Simon Trygg, 16 June 2016 Abstract Some companies today are using sub-optimal and nearly obsolete management systems for their networks. Given the large number of different services that are demanded by users, there is a need to adapt the network structure to support the current and potential future demands. As a result, there is a need for new Network Management Solutions (NMSs). The aim of this thesis project is to help a company who uses a NMS called Local Area Network (LAN) Management Solution (LMS). LMS was designed by Cisco for managing LAN networks. However, the company’s demands are growing and they need to expand their network more than expected. Moreover, LMS is designed to only support devices by Cisco, whereas the company wants a universal solution with wide device support from many manufacturers. This thesis presents an analysis of their current system and suggests potential solutions for an upgrade that will meet all of the company’s demands and will have a long operating life.
    [Show full text]
  • Check MK Documentation Documentation Release
    Check_MK Documentation Documentation Release Marius Pana August 12, 2019 Contents 1 What is Monitoring all about?3 2 Why monitor things? 5 2.1 States...................................................5 2.2 Events..................................................5 2.3 What is a monitoring system?......................................5 2.4 What is a check?.............................................6 2.5 Active vs. Passive Checks........................................6 3 Check_MK Architecture 7 3.1 Check_MK Components.........................................7 3.2 Configuration & Check Engine.....................................8 3.3 Livestatus.................................................8 3.4 Multisite.................................................8 3.5 WATO..................................................8 3.6 Notify...................................................9 3.7 Business Intelligence...........................................9 3.8 Mobile..................................................9 3.9 Event Console.............................................. 10 4 Check_MK Quickstart 11 4.1 Prerequisites............................................... 11 4.2 Operating System............................................ 11 4.3 Disk Space................................................ 11 4.4 SMTP for outgoing emails........................................ 11 4.5 Time services............................................... 12 4.6 Repository................................................ 12 4.7 Downloading Check_MK.......................................
    [Show full text]
  • Holm Schwantner Monitoring Heterogener Systeme Am Beispiel Des IT-Systems Im
    Holm Schwantner Monitoring heterogener Systeme am Beispiel des IT-Systems im “Das TIETZ” DIPLOMARBEIT HOCHSCHULE MITTWEIDA (FH) UNIVERSITY OF APPLIED SCIENCES Fachbereich Elektro- und Informationstechnik Mittweida, Mai 2014 Holm Schwantner Monitoring heterogener Systeme am Beispiel des IT-Systems im “Das TIETZ” eingereicht als DIPLOMARBEIT an der HOCHSCHULE MITTWEIDA (FH) UNIVERSITY OF APPLIED SCIENCES Fachbereich Elektro- und Informationstechnik Mittweida, Mai 2014 Erstprufer:¨ Prof. Dr.-Ing. Thomas Beierlein Zweitprufer:¨ Dipl.-Kffr. Sibylle Lowe¨ Vorgelegte Arbeit wurde verteidigt am: Bibliographische Beschreibung: Holm Schwantner: Monitoring heterogener Systeme am Beispiel des IT-Systems im “Das TIETZ” 2014. - 71 S. Mittweida, Hochschule Mittweida (FH) - University of Applied Sciences, Fachbereich Elektro- und Informationstechnik, Diplomarbeit, 2014 Referat: Ein storungsfreier¨ Betrieb der Informationstechnik in Unternehmen und Ein- richtungen ist heute Voraussetzung fur¨ deren Betriebsfahigkeit.¨ Monitoring ist eine bewahrte¨ Vorgehensweise in der Systemadministration, um das zu bewerkstelligen. Diese Arbeit beschaftigt¨ sich mit der Auswahl und Untersuchung eines Monitoringsystems fur¨ die Uberwachung¨ der heterogenen IT-Infrastruktur eines stadtischen¨ Eigenbetriebes. Mit Methoden der Anforderungsanalyse werden zunachst¨ alle Komponenten identifiziert und klassifiziert, die in das Monitoring ubernommen¨ werden sollen. Mit Icinga wird eine fur¨ das Moni- toring der vorgefundenen Infrastruktur sinnvolle Open-Source-Losung¨ aus- gewahlt¨ und anschließend eine mogliche¨ Umsetzung in ein funktionierendes Monitoringsystem unter der Anwendung von Standards gezeigt. Inhaltsverzeichnis Seite 4 Inhaltsverzeichnis Abbildungsverzeichnis 6 Abk ¨urzungsverzeichnis 7 1 Einleitung 8 1.1 Motivation . .8 1.2 Idee . .9 1.3 Ziel . .9 1.4 Uberblick¨ . 10 2 Grundlagen 12 2.1 Rechnernetze . 12 2.1.1 Begriffe . 13 2.1.2 Schichtenmodell . 14 2.2 Monitoring . 16 2.2.1 SNMP .
    [Show full text]
  • Check MK Scheda Informativa
    Check MK Scheda Informativa Check MK Monitoraggio dei sistemi IT con tecnologie Open Source Controllo delle risorse aziendali Benefici principali Nell’attività quotidiana, al fine di garantire l’efficienza delle soluzioni di business, il Opera su Nagios, monitoraggio dello stato delle infrastrutture IT un'applicazione open è di grande importanza. source Di solito, avendo tale attività costi elevati, si Richiede risorse IT ricorre a sistemi di monitoraggio solo dove la molto contenute rete da amministrare è veramente complessa o dove la criticità dei servizi è molto elevata. Realizza un inventario automatico delle Un approccio semplice ed economico componenti CLEMPS aiuta i propri clienti a utilizzare controllate sui server Check MK, un tool Open Source che, dopo un’installazione veloce e una configurazione molto semplice, consente, in modo intuitivo, di eseguire, tramite Web browser e come illustrato in figura, il monitoring della propria rete, dei sistemi operativi e delle applicazioni attivate, senza alcun costo di licenza software. 1 Check MK Scheda Informativa Come funziona Ruolo dei Servizi Professionali I controlli avvengono tramite Check MK un plug-in di un altro strumento Open Source La prima attività dei servizi professionali CLEMPS denominato Nagios, che consente, tramite un riguarda l’attivazione della piattaforma di Web browser, il monitoraggio di computer, monitoraggio, che è basata su un sistema fisico o switch, router, stampanti e anche di servizi più virtuale Linux CentOS 7.x caratterizzato da: o meno standard come HTTP, FTP, POP3 e Un sistema Nagios e Check MK funzionante; similari. Un server Apache con il modulo mod_python per monitorare i sistemi; Come illustrato in figura, i dati vengono il package di sistema xinetd operativo; recuperati e visualizzati in quattro fasi: un sistema Postfix configurato per le notifiche email che perverranno a chi deve 1.
    [Show full text]