![]() ![]() ![]() The method below pulls the last five records from SQL, gets an average and based on the average, makes a decision. #if_exists="replace" if the table does not yet exist, then add HistoryID (or ID) as the auto-incremented primary keyĭf.to_sql(table, engine, if_exists="append", index=False)Ĭreate CPU Alerting Method – Database Integration The Python server uptime monitoring tool is a command line tool which is developed with Python and Scapy which sends ping to the server or required system. # records the drive usage for each drive foundĭf = psutil.disk_usage(drive) Tools are available for capacity planning, event monitoring, and data analysis with alerts and dashboards. 'LastBootedAt' : omtimestamp(psutil.boot_time()).strftime('%Y-%m-%d %H:%M:%S') It is an overview of three libraries - Fabric, Cuisine, and Watchdog - for server monitoring and administration. # initialises the data frame with the appropriate values Glances is a cross-platform system monitoring tool written in Python. Taking cues from the answers above, I investigated Fabric and found the following presentation particularly interesting/helpful. # assigns a new history ID for data integrity purposes ![]() # gets the disk partitions in order to get a list of NFTS drivesĭrives = ĭf_csv = pd.read_csv('ServerMonitoring.csv') ![]()
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