Microsoft SQL Server - OpenTelemetry Collector
The information provided in this page will only support the Sumo Logic OpenTelemetry app for Microsoft SQL Server for Windows.
The SQL Server app is a unifies logs and metrics app to help you monitor the availability, performance, health, and resource utilization of your Microsoft SQL Server database clusters. Preconfigured dashboards provide insight into cluster status, performance, operations as well as backup and restore operations along with Performance metrics and metrics for transaction and transaction logs.
This app has been tested with following SQL Server versions:
Microsoft SQL Server 2016
The diagram below illustrates the components of the SQL Server collection for each database server. OpenTelemetry collector runs on the same host as SQL Server, and uses the SQL Server receiver to obtain SQL Server metrics. This receiver grabs metrics about a Microsoft SQL Server instance using the Windows Performance Counters. Because of this, it is a Windows only receiver. Thus metrics for SQL Server can be collected only if its in a windows machine. SQL Server logs are sent to Sumo Logic through OpenTelemetry filelog receiver.
This app includes built-in monitors. For details on creating custom monitors, refer to Create monitors for Microsoft SQL Server app.
Fields creation in Sumo Logic for SQL Server
Following are the Fields which will be created as part of SQL Server app installation, if not already present.
db.cluster.name
. User configured. Enter a name to identify this SQL Server cluster. This cluster name will be shown in the Sumo Logic dashboards.db.system
. Has a fixed value of sqlserver.deployment.environment
. User configured. This is the deployment environment where the SQL Server cluster resides. For example dev, prod, or qa.sumo.datasource
. Has a fixed value of sqlserver.
Prerequisites
For metrics collection
The SQL server receiver for OpenTelemetry grabs metrics about a Microsoft SQL Server instance using the Windows Performance Counters.
For logs collection
Make sure logging is turned on in SQL Server. Follow this documentation to enable it.
The Microsoft SQL Server App's queries and dashboards depend on logs from the SQL Server ERRORLOG, which is typically found in: C:\Program Files\Microsoft SQL Server\MSSQL<version>.MSSQLSERVER\MSSQL\Log\ERRORLOG*
.
The ERRORLOG is typically in UTF-16LE encoding, however, be sure to verify the file encoding used in your SQL Server configuration.
ACL Support
For Windows systems, log files which are collected should be accessible by the SYSTEM group. Use the following set of PowerShell commands if the SYSTEM group does not have access.
$NewAcl = Get-Acl -Path "<PATH_TO_LOG_FILE>"
# Set properties
$identity = "NT AUTHORITY\SYSTEM"
$fileSystemRights = "ReadAndExecute"
$type = "Allow"
# Create new rule
$fileSystemAccessRuleArgumentList = $identity, $fileSystemRights, $type
$fileSystemAccessRule = New-Object -TypeName System.Security.AccessControl.FileSystemAccessRule -ArgumentList $fileSystemAccessRuleArgumentList
# Apply new rule
$NewAcl.SetAccessRule($fileSystemAccessRule)
Set-Acl -Path "<PATH_TO_LOG_FILE>" -AclObject $NewAcl
Collection configuration and app installation
As part of data collection setup and app installation, you can select the App from App Catalog and click on Install App. Follow the steps below.
Step 1: Set up Collector
If you want to use an existing OTel Collector, then this step can be skipped by selecting the option of using an existing Collector.
If you want to create a new Collector, select the Add a new Collector option.
Select the platform for which you want to install the Sumo OpenTelemetry Collector.
This will generate a command you can execute on the machine that you need to monitor. Once executed, it will install the Sumo Logic OpenTelemetry Collector agent.
Step 2: Configure integration
- The Microsoft SQL Server App's queries and dashboards depend on logs from the SQL Server ERRORLOG, which is typically found in:
C:\Program Files\Microsoft SQL Server\MSSQL<version>.MSSQLSERVER\MSSQL\Log\ERRORLOG*
- To collect from a SQL Server with a named instance, both Computer Name and Instance Name are required. Toggle the
Enable metric collection for SQL Server with a named instance.
button. For a default SQL Server setup, these settings are optional.- Computer Name. The computer name identifies the SQL Server name or IP address of the computer being monitored.
- Instance Name. The instance name identifies the specific SQL Server instance being monitored.
- You can add any custom fields which you want to tag along with the data ingested in Sumo Logic.
- Click on the Download YAML File button to get the yaml file.
Step 3: Send logs to Sumo Logic
Once you have downloaded the YAML file as described in the previous step, follow the below steps based on your platform.
- Windows
- Chef
- Ansible
- Puppet
- Copy the YAML file to
C:\ProgramData\Sumo Logic\OpenTelemetry Collector\config\conf.d
folder in the machine which needs to be monitored. - Restart the collector using:
Restart-Service -Name OtelcolSumo
- Copy the yaml file into your Chef cookbook files directory
files/<downloaded_yaml_file>
. - Use a Chef file resource in a recipe to manage it.
cookbook_file '/etc/otelcol-sumo/conf.d/<downloaded_yaml_file>' do mode 0644 notifies :restart, 'service[otelcol-sumo]', :delayed end
- Add the recipe to your collector setup to start collecting the data. Every team typically has their established way of applying the Chef recipe. The resulting Chef recipe should look something like:
cookbook_file '/etc/otelcol-sumo/conf.d/<downloaded_yaml_file>' do
mode 0644
notifies :restart, 'service[otelcol-sumo]', :delayed
end
- Place the file into your Ansible playbook files directory.
- Run the Ansible playbook.
ansible-playbook -i inventory install_sumologic_otel_collector.yaml
-e '{"installation_token": "<YOUR_TOKEN>", "collector_tags": {<YOUR_TAGS>}, "src_config_path": "files/conf.d"}'
- Place the file into your Puppet module files directory
modules/install_otel_collector/files/<downloaded_yaml>
. - Use a Puppet file resource to manage it.
file { '/etc/otelcol-sumo/conf.d/<downloaded_yaml_file>':
ensure => present,
source => 'puppet:///modules/install_otel_collector/<downloaded_yaml_file>',
mode => '0644',
notify => Service[otelcol-sumo],
} - Apply the Puppet manifest. Every team typically has their established way of applying the Puppet manifest. The resulting Puppet manifest should look something like:
node 'default' {
class { 'install_otel_collector'
installation_token => '<YOUR_TOKEN>',
collector_tags => { <YOUR_TAGS> },
}
service { 'otelcol-sumo':
provider => 'systemd',
ensure => running,
enable => true,
require => Class['install_otel_collector'],
}
file { '/etc/otelcol-sumo/conf.d/<downloaded_yaml_file>':
ensure => present,
source => 'puppet:///modules/install_otel_collector/<downloaded_yaml_file>',
mode => '0644',
notify => Service[otelcol-sumo],
}
}
After successfully executing the above command, Sumo Logic will start receiving data from your host machine.
Click Next. This will install the app (dashboards and monitors) to your Sumo Logic Org.
Dashboard panels will start to fill automatically. It's important to note that each panel fills with data matching the time range query and received since the panel was created. Results won't immediately be available, but within 20 minutes, you'll see full graphs and maps.
Sample log messages
2023-01-09 13:23:31.276 Logon Login succeeded for user 'NT SERVICE\SQLSERVERAGENT'. Connection made using Windows authentication. [CLIENT: ]
Sample metrics
{
"queryId":"A",
"_source":"EC2AMAZ-T30T53R-13b7b3fc-cc2f-4eb0-accb-2aa33e6fa01b",
"_metricId":"K4oGmX1LMJ_iMZ4EeqGjJg",
"_sourceName":"OTC Metric Input",
"os.type":"windows",
"sumo.datasource":"sqlserver",
"db.system":"sqlserver",
"_sourceCategory":"OTC Metric Input",
"deployment.environment":"ec2WinDev",
"host.name":"EC2AMAZ-T30T53R.ec2.internal",
"metric":"sqlserver.transaction_log.flush.rate",
"_collectorId":"00005AF3107A445C",
"_sourceId":"0000000000000000",
"unit":"{flushes}/s",
"db.cluster.name":"sqlserverCluster",
"_sourceHost":"EC2AMAZ-T30T53R",
"sqlserver.database.name":"master",
"_collector":"EC2AMAZ-T30T53R-13b7b3fc-cc2f-4eb0-accb-2aa33e6fa01b",
"max":0.001388,
"min":0,
"avg":0.0007219,
"sum":0.00361,
"latest":0,
"count":5
}
Sample queries
This is a sample log query from the Error and warning count panel in the SQL Server App - Overview dashboard.
%"db.cluster.name"=* %"deployment.environment"=* %"sumo.datasource"=sqlserver ("Error:" or "Warning:") | json "log" as _rawlog nodrop
| if (isEmpty(_rawlog), _raw, _rawlog) as _raw
| parse regex "\s+(?<Logtype>Error|Warning):\s+(?<message>.*)$"
| count by LogType
This is a sample metrics query from the Page Buffer hit ratio % panel in the SQL Server - Performance Counters dashboard.
sumo.datasource=sqlserver deployment.environment=* db.cluster.name=* metric=sqlserver.page.buffer_cache.hit_ratio
Viewing Microsoft SQL Server dashboards
All dashboards have a set of filters that you can apply to the entire dashboard. Use these filters to drill down and examine the data to a granular level.
- You can change the time range for a dashboard or panel by selecting a predefined interval from a drop-down list, choosing a recently used time range, or specifying custom dates and times. Learn more.
- You can use template variables to drill down and examine the data on a granular level. For more information, see Filtering Dashboards with Template Variables.
Overview
The SQL Server - Overview dashboard provides a snapshot overview of your SQL Server instance. Use this dashboard to understand CPU, Memory, and Disk utilization of your SQL Server(s) deployed in your cluster. This dashboard also provides information on login activities and methods by users.
Use this dashboard to:
- Keep track of Deadlock, Error, Backup failure, mirroring errors, and insufficient space issue counts.
- Examine Login activities, failures, and failure reasons.
General Health
The SQL Server - General Health dashboard gives you the overall health of SQL Server. Use this dashboard to analyze server events including stopped/up servers, and corresponding down/uptime, monitor disk space percentage utilization, wait time trend, app-domain issues by SQL server.
Use this dashboard to:
- Analyze server events including stopped/up servers, and corresponding down/uptime.
- Monitor server events trends including SQL Server wait time.
- Get insight into app domain and percentage disk utilization issues by SQL Server.
Backup Restore Mirroring
The SQL Server - Backup Restore Mirroring dashboard provides information about the Transaction log backup events, Database backup events, Restore activities, Backup failures and reasons, and Mirroring errors.
Operations
The SQL Server - Operations displays recent server configuration changes, number and type of configuration updates, error and warnings, high severity error, and warning trends.
Use this dashboard to:
- Get insights into configuration changes and updates to SQL Server instances.
- Monitor any errors and warnings.
Transaction and Transaction Logs
The SQL Server - Transaction and Transaction Logs dashboard shows performance counters related metric for Transaction and Transaction Logs.
Use this dashboard to:
- Get info with respect to time for Transaction and write Transaction per sec.
- Insight into Transaction log related metrics like flush rate, flush data rate, and flush wait rate along with Transaction log % usage.
Performance Counters
The SQL Server - Performance Counters dashboard shows performance counters related to database activities, SQL statistics, and buffer cache.
Use this dashboard to:
- Get info for page buffer hit % and page split rate.
- Insight into lock waits rate, page read and write rate along with patch request rate and SQL compilation, and recompilation per sec.
Create monitors for Microsoft SQL Server app
From your App Catalog:
- From the Sumo Logic navigation, select App Catalog.
- In the Search Apps field, search for and then select your app.
- Make sure the app is installed.
- Navigate to What's Included tab and scroll down to the Monitors section.
- Click Create next to the pre-configured monitors. In the create monitors window, adjust the trigger conditions and notifications settings based on your requirements.
- Scroll down to Monitor Details.
- Under Location click on New Folder.
note
By default, monitor will be saved in the root folder. So to make the maintenance easier, create a new folder in the location of your choice.
- Enter Folder Name. Folder Description is optional.
tip
Using app version in the folder name will be helpful to determine the versioning for future updates.
- Click Create. Once the folder is created, click on Save.
Microsoft SQL Server alerts
Alert Name | Alert Description and conditions | Alert Condition | Recover Condition |
---|---|---|---|
SQL Server - AppDomain Alert | This alert gets triggered when we detect AppDomain related issues in your SQL Server instance. | Count > = 1 | Count < 1 |
SQL Server - Backup Fail Alert | This alert gets triggered when we detect that the SQL Server backup failed. | Count > = 1 | Count < 1 |
SQL Server - Instance Down Alert | This alert gets triggered when we detect that the SQL Server instance is down for 5 minutes. | Count > 0 | Count < = 0 |
SQL Server - Insufficient Space Alert | This alert gets triggered when SQL Server instance could not allocate a new page for database because of insufficient disk space in filegroup. | Count > = 1 | Count < 1 |
SQL Server - Login Fail Alert | This alert gets triggered when we detect that the user cannot login to SQL Server. | Count > = 1 | Count < 1 |
SQL Server - Mirroring Error Alert | This alert gets triggered when we detect that the SQL Server mirroring has error. | Count > = 1 | Count < 1 |
SQL Server - Processes Blocked Alert | This alert gets triggered when we detect that SQL Server has blocked processes. | Count > 1 | Count < = 1 |