Monitoring with MonALISA Costin Grigoras. What is MonALISA ?  Caltech project started in 2002

Slides:



Advertisements
Similar presentations
TeraGrid Deployment Test of Grid Software JP Navarro TeraGrid Software Integration University of Chicago OGF 21 October 19, 2007.
Advertisements

ALICE G RID SERVICES IP V 6 READINESS
May 2005 Iosif Legrand 1 Iosif Legrand California Institute of Technology May 2005 An Agent Based, Dynamic Service System to Monitor, Control and Optimize.
MONITORING WITH MONALISA Costin Grigoras. M ONITORING WITH M ON ALISA What is MonALISA ? MonALISA communication architecture Monitoring modules ApMon.
Chapter 19: Network Management Business Data Communications, 4e.
June 2003 Iosif Legrand MONitoring Agents using a Large Integrated Services Architecture Iosif Legrand California Institute of Technology.
October 2003 Iosif Legrand Iosif Legrand California Institute of Technology.
F Fermilab Database Experience in Run II Fermilab Run II Database Requirements Online databases are maintained at each experiment and are critical for.
Hands-On Microsoft Windows Server 2008 Chapter 11 Server and Network Monitoring.
Windows Server 2008 Chapter 11 Last Update
Statistics of CAF usage, Interaction with the GRID Marco MEONI CERN - Offline Week –
1 Status of the ALICE CERN Analysis Facility Marco MEONI – CERN/ALICE Jan Fiete GROSSE-OETRINGHAUS - CERN /ALICE CHEP Prague.
Staging to CAF + User groups + fairshare Jan Fiete Grosse-Oetringhaus, CERN PH/ALICE Offline week,
Enabling Grids for E-sciencE Medical image processing web portal : Requirements analysis. An almost end user point of view … H. Benoit-Cattin,
The SAM-Grid Fabric Services Gabriele Garzoglio (for the SAM-Grid team) Computing Division Fermilab.
G RID SERVICES IP V 6 READINESS
CERN - IT Department CH-1211 Genève 23 Switzerland t Monitoring the ATLAS Distributed Data Management System Ricardo Rocha (CERN) on behalf.
ALICE data access WLCG data WG revival 4 October 2013.
ATLAS Off-Grid sites (Tier-3) monitoring A. Petrosyan on behalf of the ATLAS collaboration GRID’2012, , JINR, Dubna.
Online Monitoring with MonALISA Dan Protopopescu Glasgow, UK Dan Protopopescu Glasgow, UK.
Module 10: Monitoring ISA Server Overview Monitoring Overview Configuring Alerts Configuring Session Monitoring Configuring Logging Configuring.
ACAT 2003 Iosif Legrand Iosif Legrand California Institute of Technology.
Ramiro Voicu December Design Considerations  Act as a true dynamic service and provide the necessary functionally to be used by any other services.
1 Ramiro Voicu, Iosif Legrand, Harvey Newman, Artur Barczyk, Costin Grigoras, Ciprian Dobre, Alexandru Costan, Azher Mughal, Sandor Rozsa Monitoring and.
The Network Performance Advisor J. W. Ferguson NLANR/DAST & NCSA.
Monitoring, Accounting and Automated Decision Support for the ALICE Experiment Based on the MonALISA Framework.
February 2006 Iosif Legrand 1 Iosif Legrand California Institute of Technology February 2006 February 2006 An Agent Based, Dynamic Service System to Monitor,
1 Iosif Legrand, Harvey Newman, Ramiro Voicu, Costin Grigoras, Catalin Cirstoiu, Ciprian Dobre An Agent Based, Dynamic Service System to Monitor, Control.
The huge amount of resources available in the Grids, and the necessity to have the most up-to-date experimental software deployed in all the sites within.
Stuart Wakefield Imperial College London Evolution of BOSS, a tool for job submission and tracking W. Bacchi, G. Codispoti, C. Grandi, INFN Bologna D.
PROOF Cluster Management in ALICE Jan Fiete Grosse-Oetringhaus, CERN PH/ALICE CAF / PROOF Workshop,
N EWS OF M ON ALISA SITE MONITORING
Giuseppe Codispoti INFN - Bologna Egee User ForumMarch 2th BOSS: the CMS interface for job summission, monitoring and bookkeeping W. Bacchi, P.
And Tier 3 monitoring Tier 3 Ivan Kadochnikov LIT JINR
Site operations Outline Central services VoBox services Monitoring Storage and networking 4/8/20142ALICE-USA Review - Site Operations.
Overview of ALICE monitoring Catalin Cirstoiu, Pablo Saiz, Latchezar Betev 23/03/2007 System Analysis Working Group.
1 MonALISA Team Iosif Legrand, Harvey Newman, Ramiro Voicu, Costin Grigoras, Ciprian Dobre, Alexandru Costan MonALISA capabilities for the LHCOPN LHCOPN.
Xrootd Monitoring and Control Harsh Arora CERN. Setting Up Service  Monalisa Service  Monalisa Repository  Test Xrootd Server  ApMon Module.
ClearQuest XML Server with ClearCase Integration Northwest Rational User’s Group February 22, 2007 Frank Scholz Casey Stewart
INFSO-RI Enabling Grids for E-sciencE ARDA Experiment Dashboard Ricardo Rocha (ARDA – CERN) on behalf of the Dashboard Team.
April 2003 Iosif Legrand MONitoring Agents using a Large Integrated Services Architecture Iosif Legrand California Institute of Technology.
PPDG February 2002 Iosif Legrand Monitoring systems requirements, Prototype tools and integration with other services Iosif Legrand California Institute.
SAM Sensors & Tests Judit Novak CERN IT/GD SAM Review I. 21. May 2007, CERN.
EGEE is a project funded by the European Union under contract IST VO box: Experiment requirements and LCG prototype Operations.
Tier3 monitoring. Initial issues. Danila Oleynik. Artem Petrosyan. JINR.
JAliEn Java AliEn middleware A. Grigoras, C. Grigoras, M. Pedreira P Saiz, S. Schreiner ALICE Offline Week – June 2013.
AliEn central services Costin Grigoras. Hardware overview  27 machines  Mix of SLC4, SLC5, Ubuntu 8.04, 8.10, 9.04  100 cores  20 KVA UPSs  2 * 1Gbps.
ALICE DATA ACCESS MODEL Outline 05/13/2014 ALICE Data Access Model 2  ALICE data access model  Infrastructure and SE monitoring.
+ AliEn site services and monitoring Miguel Martinez Pedreira.
October 2006 Iosif Legrand 1 Iosif Legrand California Institute of Technology An Agent Based, Dynamic Service System to Monitor, Control and Optimize Distributed.
03/09/2007http://pcalimonitor.cern.ch/1 Monitoring in ALICE Costin Grigoras 03/09/2007 WLCG Meeting, CHEP.
Gennaro Tortone, Sergio Fantinel – Bologna, LCG-EDT Monitoring Service DataTAG WP4 Monitoring Group DataTAG WP4 meeting Bologna –
Dynamic staging to a CAF cluster Jan Fiete Grosse-Oetringhaus, CERN PH/ALICE CAF / PROOF Workshop,
EGEE is a project funded by the European Union under contract IST Experiment Software Installation toolkit on LCG-2
D.Spiga, L.Servoli, L.Faina INFN & University of Perugia CRAB WorkFlow : CRAB: CMS Remote Analysis Builder A CMS specific tool written in python and developed.
TF meeting – July 13, 2006 Support for taking actions in MonALISA Costin Grigoras.
MONITORING WITH MONALISA Costin Grigoras. M ON ALISA COMMUNICATION ARCHITECTURE MonALISA software components and the connections between them Data consumers.
1 R. Voicu 1, I. Legrand 1, H. Newman 1 2 C.Grigoras 1 California Institute of Technology 2 CERN CHEP 2010 Taipei, October 21 st, 2010 End to End Storage.
SAM architecture EGEE 07 Service Availability Monitor for the LHC experiments Simone Campana, Alessandro Di Girolamo, Nicolò Magini, Patricia Mendez Lorenzo,
A System for Monitoring and Management of Computational Grids Warren Smith Computer Sciences Corporation NASA Ames Research Center.
TIFR, Mumbai, India, Feb 13-17, GridView - A Grid Monitoring and Visualization Tool Rajesh Kalmady, Digamber Sonvane, Kislay Bhatt, Phool Chand,
Experiment Support CERN IT Department CH-1211 Geneva 23 Switzerland t DBES Author etc Alarm framework requirements Andrea Sciabà Tony Wildish.
MONALISA MONITORING AND CONTROL Costin Grigoras. O UTLINE MonALISA services and clients Usage in ALICE Online SE discovery mechanism Data management 3.
Federating Data in the ALICE Experiment
California Institute of Technology
ALICE Monitoring
Open Source distributed document DB for an enterprise
Patricia Méndez Lorenzo ALICE Offline Week CERN, 13th July 2007
AliEn central services (structure and operation)
Publishing ALICE data & CVMFS infrastructure monitoring
Presentation transcript:

Monitoring with MonALISA Costin Grigoras

What is MonALISA ?  Caltech project started in  Java-based set of distributed, self-describing services  Offers the infrastructure to collect any type of information  Can process it in near real time  The services can cooperate in performing the monitoring tasks  Can act as a platform for running distributed user agents T1/T2 ALICE Tutorial : Services Monitoring2

MonALISA software components and the connections between them Data consumers Multiplexing layer Helps firewalled endpoints connect Registration and discovery JINI-Lookup Services Secure & Public MonALISA services Proxies Clients HL services Agents Network of Data gathering services Fully Distributed System with no Single Point of Failure T1/T2 ALICE Tutorial : Services Monitoring3

Subscriber/notification paradigm Configuration Control (SSL) Predicates & Agents Data (via ML Proxy) Applications ML Client LookupService Registration Discovery AGENTS FILTERS / TRIGGERS Monitoring Modules Dynamic Loading Data Store Push or Pull, depending on device ML Service T1/T2 ALICE Tutorial : Services Monitoring4

MonALISA service includes many modules; easily extendable  The service package includes:  Local host monitoring (CPU, memory, network traffic, processes and sockets in each state, LM sensors, APC UPSs), log files tailing  SNMP generic & specific modules  Condor, PBS, LSF and SGE (accounting & host monitoring), Ganglia  Ping, tracepath, traceroute, pathload and other network-related measurements  Ciena, Optical switches  Calling external applications/scripts that return as output the values  XDR-formatted UDP messages (such as ApMon).  New modules can be added by implementing a simple Java interface.  Filters can also be defined to aggregate data in new ways.  The Service can also react to the monitoring data it receives, more about the actions it can take later.  MonALISA can run code as distributed agents  Used by VRVS/Evo to maintain the tree of connections between reflectors  Establishment of optical paths between two network endpoints for particular data transfers T1/T2 ALICE Tutorial : Services Monitoring5

Embeddable APlication MONitoring library  ApMon is a collection of libraries in various languages (C, C++, Java, Perl, Python), all offering a simple API to sending monitoring information  Based on the XDR open format of data packing  Implemented over UDP to minimize the impact on the monitored application  Allows applications to send particular values and also provides local host monitoring  The Perl version is used by AliEn to send monitoring information from each service and JobAgent to the site local MonALISA instance  The C/C++ implementations are used in ROOT (TMonalisaWriter), Proof and Xrootd. CMS also uses ApMon to send monitoring information from all jobs to a single point  Can also be used stand-alone, in a wrapper application that loops forever, sending the default host monitoring parameters + any other interesting values (like some services’ status)  It can be configured by API, local configuration file or URL of one T1/T2 ALICE Tutorial : Services Monitoring6

Data storage model  MonALISA keeps a memory buffer for a minimal monitoring history Response Short term, high resolution Short term, high resolution Medium term, lower resolution Medium term, lower resolution Long term, low resolution Long term, low resolution Memory buffer Volatile storage Persistent storage (DB) time Request at highest resolution T1/T2 ALICE Tutorial : Services Monitoring7  Parallel database backends can be used to increase performance and reliability  In addition, data can be kept in configurable database structures - The service keeps one week of raw data and one month of averaged values - The client creates three averaged structures

Clients  GUI client  Interactive exploring of all the parameters  Can plot history or real-time values  Customizable history query interval  Subscribes to those particular series and updates the plots in real time  Storage client (aka Repository)  Subscribes to a set of parameters and stores them in database structures suitable for long-term archival  Is usually complemented by a web interface presenting these values  Can also be embedded in another controlling application  WebServices clients  Limited functionality: they lack the subscription mechanism T1/T2 ALICE Tutorial : Services Monitoring8

AliEn monitoring architecture 9 Long History DB LCG Tools MonALISA AliEn Site ApMon AliEn Job Agent ApMon AliEn Job Agent ApMon AliEn Job Agent MonALISA LCG Site ApMon AliEn CE ApMon AliEn SE ApMon Cluster Monitor ApMon AliEn TQ ApMon AliEn Job Agent ApMon AliEn Job Agent ApMon AliEn Job Agent ApMon AliEn CE ApMon AliEn SE ApMon Cluster Monitor ApMon AliEn IS ApMon AliEn Optimizers ApMon AliEn Brokers ApMon MySQL Servers ApMon CastorGrid Scripts ApMon API Services MonALISARepository Aggregated Data rss vsz cpu time run time job slots free space nr. of files open files Queued JobAgents cpu ksi2k job status disk used processes load net In/out jobs status sockets migrated mbytes active sessions MyProxy status Alerts Actions T1/T2 ALICE Tutorial : Services Monitoring9

AliEn MonALISA service T1/T2 ALICE Tutorial : Services Monitoring10  Started with  alien StartMonaLisa  Should be started with the same environment as the rest of the AliEn services  X509_USER_PROXY in particular  It receives information from each component  Performs functional tests of each AliEn service running on the VoBox  If necessary will receive commands to restart the services  Self-monitoring through cron scripts, so _don’t_ remove the line  This solves most problems with the AliEn VoBox services, including restart of the VoBox itself

Monitoring the ALICE Grid in numbers  85 sites defined  9000 worker nodes  parallel jobs  27 central machines  More than 1.1M parameters  Storing only aggregated data where possible we have reached >35000 active parameters in the database  We store new values at ~100Hz  dynamic pages / day  1 client/web server + 3 database instances  170GB of history T1/T2 ALICE Tutorial : Services Monitoring11

MonALISA Repository for ALICE: T1/T2 ALICE Tutorial : Services Monitoring12

T1/T2 ALICE Tutorial : Services Monitoring13

Services -> Site services -> Site overview T1/T2 ALICE Tutorial : Services Monitoring14

Services -> Site services -> Site overview T1/T2 ALICE Tutorial : Services Monitoring15

Services -> Site services -> VO Boxes T1/T2 ALICE Tutorial : Services Monitoring16

Services -> Site services -> Services status T1/T2 ALICE Tutorial : Services Monitoring17

Services -> Site services -> Proxies T1/T2 ALICE Tutorial : Services Monitoring18

Services -> Site services -> SAM tests T1/T2 ALICE Tutorial : Services Monitoring19

SE Information -> xrootd -> SEs overview T1/T2 ALICE Tutorial : Services Monitoring20

SE Information -> xrootd -> Per SE details T1/T2 ALICE Tutorial : Services Monitoring21

Bandwidth tests T1/T2 ALICE Tutorial : Services Monitoring22

Automatic actions T1/T2 ALICE Tutorial : Services Monitoring23  Decisions taken upon: - Absence/presence of some parameter(s) - Values above/below predefined thresholds - Arbitrary correlations between values - User-defined code  Action types: - Notifications - RSS/Atom feeds - Annotation of charts with the events - Calling external programs - Logging - Running custom code ML Service Actions Traffic Jobs Hosts Apps Temperature Humidity A/C Power … Global ML Services Global ML Services

Automatic actions in ALICE T1/T2 ALICE Tutorial : Services Monitoring24  Restart of services if the VoBox functional tests fail  Only if central services are ok  Send mail if the restart doesn’t solve the problem  Try again every 12 hours  Storage elements testing from the central point  Notifications if tests fail  Maintaining the DNS aliases of central services  Remove offline or overloaded services  Automatically adding new service instances  MC production jobs (LPM)  Other notifications (proxies, SAM tests, central services)

Notifications T1/T2 ALICE Tutorial : Services Monitoring25

Firefox toolbar expanded T1/T2 ALICE Tutorial : Services Monitoring26

Site monitoring T1/T2 ALICE Tutorial : Services Monitoring27  Using a small ApMon daemon on each WN  Or SNMP, Ganglia …  Send data to the MonALISA service running on the VoBox  Run your own Repository to archive data, display it and implement your own automatic actions  GSI:  Muenster:  CAF: