SAP Business One Tips & Tricks

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Vision33 TOTAL Care SAP Business One Tips & Tricks Check Database & Log File Settings for SAP Business One Note: Before performing any actions on databases we recommend and it is best practice to back up the database beforehand. 1. The following DB options should be set for SBO-Common DB. The DB options for the company DB will at the discretion of the system administrator based on the needs of the company. • Autogrowth – 10% unrestricted • Autoshrink – True • Parameterization – Simple • Recovery Model – Simple 2. You should shrink the database and log files for both the Company DB and SBO-Common DB. • First check the size of the DB and log file, truncate them then check the size after and verify if there are any significant differences. For MSSQL 2005 & 2008: How to set DB options: o Open SQL Server Management Studio o Select the server instance. Right-click DB o Select Properties > Files > Autogrowth o Select Properties > Options > Autoshrink o Select Properties > Options > Parameterization How to shrink log file: o Open SQL Server Management Studio o Select the server instance. Right-click DB o Select Properties. Select General page. Under Database check Size o Right-click DB. Select Tasks > Shrink > Database o Check database size again. Are there any significant changes? Page 1 of 4 www.vision33.com/support/tips-and-tricks/ © 2019 Vision33 Inc. Vision33 TOTAL Care SAP Business One Tips & Tricks Microsoft SQL Server Management Studio 2008 Screen Shots Page 2 of 4 www.vision33.com/support/tips-and-tricks/ © 2019 Vision33 Inc. Vision33 TOTAL Care SAP Business One Tips & Tricks Page 3 of 4 www.vision33.com/support/tips-and-tricks/ © 2019 Vision33 Inc. Vision33 TOTAL Care SAP Business One Tips & Tricks For MSSQL 2000: How to set DB options: o Open the MSSQL Server Enterprise Manager o Right-click company database and select Properties o Select the "options" tab page o In the field Model select Simple o Check the "auto shrink" box. Confirm the window o Backup the database How to shrink log file: o Open the MSSQL Server Enterprise Manager o Select the server instance. Open the folder Databases o Right-click on the database to be shrunk o Select 'All Tasks' and then 'Shrink Database' o Click on the button 'Files...' o In the field 'Database file' click on the drop-down arrow and select '<DatabaseName>_log' o Select the 'Shrink action' desired. Refer to Microsoft documentation for details on 'Shrink action' o Click OK and wait for message 'Shrink log file completed successfully' Page 4 of 4 www.vision33.com/support/tips-and-tricks/ © 2019 Vision33 Inc. .

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Application Log Analysis
Masarykova univerzita Fakulta}w¡¢£¤¥¦§¨ informatiky !"#$%&'()+,-./012345<yA| Application Log Analysis Master’s thesis Júlia Murínová Brno, 2015 Declaration Hereby I declare, that this paper is my original authorial work, which I have worked out by my own. All sources, references and literature used or excerpted during elaboration of this work are properly cited and listed in complete reference to the due source. Júlia Murínová Advisor: doc. RNDr. Vlastislav Dohnal, Ph.D. iii Acknowledgement I would like to express my gratitude to doc. RNDr. Vlastislav Dohnal, Ph.D. for his guidance and help during work on this thesis. Furthermore I would like to thank my parents, friends and family for their continuous support. My thanks also belongs to my boyfriend for all his assistance and help. v Abstract The goal of this thesis is to introduce the log analysis area in general, compare available systems for web log analysis, choose an appropriate solution for sample data and implement the proposed solution. Thesis contains overview of monitoring and log analysis, specifics of application log analysis and log file formats definitions. Various available systems for log analysis both proprietary and open-source are compared and categorized with overview comparison tables of supported functionality. Based on the comparison and requirements analysis appropriate solution for sample data is chosen. The ELK stack (Elasticsearch, Logstash and Kibana) and ElastAlert framework are deployed and configured for analysis of sample application log data. Logstash configuration is adjusted for collecting, parsing and processing sample data input supporting reading from file as well as online socket logs collection. Additional information for anomaly detection is computed and added to log records in Logstash processing.
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