Data Visualization in Subscriber Management

[badabunsebl25]

Although the Entire Migration Process Took a Few Hours Longer Than We Planned, We Were Up and Running by Saturday Afternoon Et. Later in the Day, We Noticed That the Data Cluster Responsible for Was Slower Than Usual. We Monitored It for a Few Hours and Determined That It Was Too Slow for Our Standards. Our Migration Team Had Been Working Non-stop for Over an Hour When We Noticed This Error.


So We Postponed the Fix Until the Next Day as It Was Still dominican republic telemarketing data Running. Sunday, March the Next Day, We Noticed That the Cluster Was Even Slower. We Contacted a Cluster Software Support Engineer to Help Us Troubleshoot the Issue. After Hours of Debugging, We Decided to Redo the Data Processing Portion of the Migration Because We Couldn't Determine Why It Was Taking So Long to Transfer Data From the Master Database to the Subscriber Management Cluster.


During This Time, We Worked With Engineers and Data Cluster Engineers in Real Time. After Hours of Modifying the Code, We Successfully Changed the Way Data is Processed and the Data Transfer Speed is Good. Monday, 11th When We Checked the Processing Speed on Monday Morning, It Wasn't Sending as Fast as We Wanted. At This Point, the Solution Was to Set Up a Completely New Cluster in a Different Network and Revert the Code Changes We Had Made on the Previous Day.