Follow the below steps in Terminal
git clone --mirror https://github.com/your-org/your-repo.git
cd your-repo.git
git remote add azure1 https://dev.azure.com/mycompany/myproject/_git/myproject
git push --mirror azure1
Follow the below steps in Terminal
git clone --mirror https://github.com/your-org/your-repo.git
cd your-repo.git
git remote add azure1 https://dev.azure.com/mycompany/myproject/_git/myproject
git push --mirror azure1
1. Round Robin
It assigns a request to the first server, then moves to the second, third, and so on, and after reaching the last server, it starts again at the first.Regarding the index maintenance job, its purpose is to optimize performance by managing indexes, dropping, and recreating them as needed. This process helps prevent SQL errors caused by index length and fragmentation.
UPDATE ScaleGroupOrganizationMaintenanceJobs
SET
RecurrenceStartTime = '2025-05-18 23:30:00.000', RecurrencePattern =
'FREQ=DAILY;INTERVAL=2;', NextRunTime = '2025-05-18 23:30:00.000'
WHERE OperationType in (30, 15) AND OrganizationId = 'place the Organization ID';
1. RecurrenceStartTime: Sets the start
time for the recurrence to '2025-05-18 23:30:00.000'.
2. RecurrencePattern: Sets the recurrence pattern to 'FREQ=DAILY;INTERVAL=2;',
meaning the job will run once every 2 days.
3. NextRunTime: Sets the next run time to '2025-05-18 23:30:00.000.
4. OperationType: Filters the jobs to update by their operation types (15 for
Index Management and 30 for Reindexing).
5. OrganizationId: Filters the jobs by the specific organization ID.
Run below query. If any sampling percentage is between 0.1 and 5, then re-build the index and run the statistic
DECLARE @DatabaseName NVARCHAR(255) = 'Database_Name';
-- Create a temporary table to store results
CREATE TABLE #StatsUpdateInfo
(
TableName NVARCHAR(255),
StatsName NVARCHAR(255),
RowsModified INT,
RowsSampled INT,
SamplingPercentage FLOAT
);
-- Cursor to iterate through each table in the database
DECLARE @TableName NVARCHAR(255);
DECLARE table_cursor CURSOR FOR
SELECT t.name
FROM sys.tables t
WHERE t.is_ms_shipped = 0;
-- Variables to store dynamic SQL
DECLARE @SQL NVARCHAR(MAX);
OPEN table_cursor;
FETCH NEXT FROM table_cursor INTO @TableName;
WHILE @@FETCH_STATUS = 0
BEGIN
-- Dynamic SQL to gather statistics update information for each table
SET @SQL = '
INSERT INTO #StatsUpdateInfo
SELECT
''' + @TableName + ''' AS TableName,
s.name AS StatsName,
us.rows AS RowsModified,
us.rows_sampled AS RowsSampled,
CASE WHEN us.rows_sampled > 0 THEN CAST(us.rows_sampled * 100.0 / us.rows AS FLOAT) ELSE 0 END AS SamplingPercentage
FROM
' + QUOTENAME(@DatabaseName) + '.sys.tables t
JOIN ' + QUOTENAME(@DatabaseName) + '.sys.stats s ON t.object_id = s.object_id
OUTER APPLY sys.dm_db_stats_properties(t.object_id, s.stats_id) us
WHERE
t.name = ''' + @TableName + ''';
';
-- Execute dynamic SQL
EXEC sp_executesql @SQL;
FETCH NEXT FROM table_cursor INTO @TableName;
END
CLOSE table_cursor;
DEALLOCATE table_cursor;
-- Select the results
SELECT *
FROM #StatsUpdateInfo;
-- Drop the temporary table
DROP TABLE #StatsUpdateInfo;
Open the below folder to check the SSRS error on the on prem server
c:\program files\Microsoft sql server reporting services\ssrs\logfiles
To enable Command Checker, pass ribbondebug=true as a URL parameter (ex: https://myorg.crm.dynamics.com/main.aspx?appid=c26d1c44-e7c0-4c72-9d6d-0e82768cb5bd&ribbondebug=true). You’ll see two new UI features light up. The first is a new button in the top right of the header which lets you inspect the global command bar
Introducing Command Checker for model-app ribbons - Microsoft Power Platform Blog
Memory Pressure
Insufficient memory leads to excessive disk I/O.
Disk I/O Bottlenecks
Check db data and log disk having very good speed I/O
Auto-Grow Settings
Default auto-growth may cause frequent interruptions. Use manual sizing where possible.
TempDB Configuration
Too few data files, contention on metadata, or slow disks can all cause issues.
Long-Running Transactions
Hold locks too long, blocking others.
Inappropriate Isolation Levels
SERIALIZABLE or REPEATABLE READ can increase blocking unnecessarily.
Use of Hints (e.g., NOLOCK)
May reduce blocking but introduce dirty reads.
CPU: Look for sustained high usage. Check for long-running queries or parallelism issues.
Memory: CRM is memory intensive. Ensure SQL Server has sufficient RAM and isn't competing with other services.
Disk: Place TempDB, logs, and data files on separate high-speed drives.
To whitelist IP addresses or URLs on the server for Microsoft applications.
Microsoft 365 URLs and IP address ranges - Microsoft 365 Enterprise | Microsoft Learn