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26/05/2004HEPIX, Edinburgh, May 24-281 Lemon Web Monitoring Miroslav Šiket CERN IT/FIO

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Presentation on theme: "26/05/2004HEPIX, Edinburgh, May 24-281 Lemon Web Monitoring Miroslav Šiket CERN IT/FIO"— Presentation transcript:

1 26/05/2004HEPIX, Edinburgh, May 24-281 Lemon Web Monitoring Miroslav Šiket CERN IT/FIO

2 26/05/2004HEPIX, Edinburgh, May 24-282 Outline Concepts Design and architecture Web visualization Deployment Current development

3 26/05/2004HEPIX, Edinburgh, May 24-283 Concepts of Monitoring Monitoring information in Computer Centers CERN ~ 2000 computers and ~70 clusters Huge amount of data ~150 metrics per host High demand on organization of the information in easily accessible way and easily to parse Variety of views for different groups of users – sysadmins, users, managers Lemon – tries to do the job by incorporating many relatively new technologies

4 26/05/2004HEPIX, Edinburgh, May 24-284 Monitoring information We have generally three types of data: Performance metrics: CPU usage, load averages, memory use, disk use/performance, sockets, network, … Exceptions: High load, swap use over 90%, service down,… Status information: Uptime, boot time, kernel version,… Heartbeat All is gathered with different frequencies from 60s to 1 day/on boot. About 1GB of data a day

5 26/05/2004HEPIX, Edinburgh, May 24-285 Lemon Architecture

6 26/05/2004HEPIX, Edinburgh, May 24-286 Components (I) MSA (Monitoring Sensor Agent) and MS (Monitoring Sensor) - MS measures data and MSA provides transport to MR MR (Monitoring Repository) with backend to Oracle, MySQL, flat file,… Correlation Engine – framework for creating metric correlations Alarm Broker (prototype) – daemon for handling exceptions and communication between alarm GUI and MR

7 26/05/2004HEPIX, Edinburgh, May 24-287 Components (II) Anamon (Analysis of MONitoring information) – java based GUI for real-time visualization of metrics SOAP/WSDL – MR provides Web services extension for any additional users RRD/Apache/PHP framework for easy access to the pre-processed information CDB (Configuration Database) – many components access this information which is part of Quattor framework at CERN

8 26/05/2004HEPIX, Edinburgh, May 24-288 RRD Tool Framework RRD (Round Robin Database) Data is organized in time-series files of aging information Supported types – Gauge, Counter, Derive, Absolute Framework for storing measurement averages, min, max, derivatives,… Provides graphing capabilities Provides simple mathematic operation on stored data Data does not expand in size with time Provides export to XML, flat file formats Is widely used by many applications – MRTG, Ganglia, CDF Farm Control, FBSNG WWW

9 26/05/2004HEPIX, Edinburgh, May 24-289 Framework Architecture RRD Tool framework is used to store and to manipulate data Data is retrieved from Monitoring Repository by a daemon in 5 min. intervals Data are pre-processed and RRD files are updated Apache/PHP and RRD tools are accessing these files and are creating statistics per host and per cluster In connection with CDB also configuration information is provided JPGraph (PHP) is used to provide access to information in graphical form from the MR that is not available through RRD Framework

10 26/05/2004HEPIX, Edinburgh, May 24-2810 Cluster information

11 26/05/2004HEPIX, Edinburgh, May 24-2811 Host information

12 26/05/2004HEPIX, Edinburgh, May 24-2812 JpGraph and host reboots

13 26/05/2004HEPIX, Edinburgh, May 24-2813 Scalability Scalability is usually an issue with large scale monitoring frameworks Our framework currently encompasses ~2000 computers at CERN and is scalable to more than 10.000 computers RRD Tool reduces need to access directly MR (Oracle) and provides cached information Our framework provides support for RRD framework clusters and is expandable – currently uses about 40 most common performance metrics

14 26/05/2004HEPIX, Edinburgh, May 24-2814 Issues and future work RRD Tool framework does not contain certain features that we have added to it – support for uploading historical data, easy removal and addition of metrics,… Current development: Dynamic configuration of stored data in connection with CDB (configuration DB) Packaging and providing site independent structure Expanding framework for Web displays – on demand correlations, manipulation of cluster configuration,… Summary displays for exception metrics

15 26/05/2004HEPIX, Edinburgh, May 24-2815 Conclusion The framework is currently in deployment at CERN Already help for sysadmins, developers, experiments in data challenges Framework provides an easy overview of the computing capabilities at our computing center It is alive and is currently being improved to suit user needs, to provide centralized information, to provide more functionality

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