Diagnostic and monitoring tool

Overview

The diagnostic and monitoring application, also known as DiagMon, is a simple and convenient tool that helps you monitor and diagnose issues related to your Safewhere Identify instances.

This tool can collect important information from your databases, such as the space usage of each schema, table, or reporting missing and deviations indices. It can also keep an eye on your Identify tenants, such as the expiration date of the signing certificate, the logging settings, and the second factor configuration. If it detects any problems, it will provide you with warnings and useful information.

You can use our tool in different ways, depending on your preference and situation. You can use it as a console tool, where you can execute the tool directly with an option to specify which profile to run. Alternatively, you can use it as an Azure Function, where you can set up a timer to trigger automatically and periodically.

Read the sections below for more details on how to use our tool for your Safewhere Identify instances.

Functionalities

The Diagnostic tool includes two primary functionalities, providing flexibility in monitoring and diagnosing your Identify instance. The Rest API functionality provides comprehensive oversight of data and configuration for your instance, while the Database functionality allows for in-depth knowledge at the database level.

Rest API functionalities

Signing certificate diagnostics

  • Command name: SigningCertificate.
  • This command carefully monitors the expiration date of Signing Certificates, delivering a comprehensive report inclusive of the expiration date (in UTC) and additional information.
  • Return status:
    • Normal: If the certificate has more than 1 month before expiration.
    • Warning: If the certificate has less than 1 month but more than 2 weeks before expiration.
    • Critical: If the certificate has less than 2 weeks before expiration. Warning if the signing certificate is not found in the Certificate list (also known as not in the database).

Logging settings diagnostics

  • Command name: LoggingSettings.
  • This command inspects the logging settings. If any setting is configured to debug or verbose, it triggers a warning; otherwise, it reports as normal.

Admin connection setup diagnostics

  • Command name: AdminConnectionSetup.
  • This command assesses whether the Username & Password connection configured to log in to the Admin interface has a second factor configured. It reports the second factor connection name and issues a warning if it is absent.

Database functionalities

Database diagnostics

  • Command name: DatabaseDiagnostics.
  • This command executes all scripts configured in the SqlQueriesToRun list:
    • db_query_DatabaseSize.sql: Provides information about the disk space utilization of tables and indices in a database (such as the Identify or IdentifyAudit database).
    • db_query_IdentifyIndex.sql: Retrieves information about indices of all schemas in a database.
    • db_query_IdentifyTableSize.sql: Retrieves information about the size of tables across all schemas in a database.
    • db_query_systemsetup.sql: Retrieves information about Identify's System settings.
  • Scripts starting with "schema_query" are selectively executed on schemas configured in the SchemasToRun list:
    • schema_query_IdentifyIndex.sql: Retrieves information about the indices of a specific schema in a database.
    • schema_query_IdentifyTableSize.sql: Retrieves information about the storage space of a specific schema in a database.

Database non-query

  • Command name: DatabaseNonQuery.
  • This command executes all scripts starting with "schema_command" configured in the IdentifyInstanceOptions.SqlCommandsToRun list. It is typically used to clean up specific instances, especially in cloud environments where SQL Agent is not available, optimizing operational costs.
    • schema_command_AuditLogsCleanUp.sql: Cleans up logs stored in the [Logs] table of a specific schema in the [IdentifyAudit] database.
    • schema_command_AuditOauthAccessTokenCleanUp.sql: Cleans up data in two related tables (AuditOauthAccessToken and AuditEvent) of a specific schema in the [IdentifyAudit] database.
    • schema_command_OauthAccessTokenCleanUp.sql: Cleans up data in the [OauthAccessToken] table of a specific schema in the [Identify] database.

Index diagnostics

  • Command Name: IndexDiagnostics.
  • This command performs diagnostics on indices of an Identify instance, reporting missing indices and deviations from the standard existing indices.

Potential upgrade problems

  • Command Name: PotentialUpgradeIssue.
  • This composite command thoroughly scans all schemas in the database. It starts by executing the 'IndexDiagnosticsCommand' to gather crucial data related to missing or non-standard indices within the database. Subsequently, it conducts a table size analysis by executing 'DiagnosticsOversized', providing information on the number of rows for problematic tables.

Guideline to configure and execute the Diagnostic tool

General settings explanation

The diagnostic and monitoring tool offers several commands and SQL scripts to retrieve or clean up data in the Identify's databases. The CompositeOptions is configured to run the Diagnostics and Monitoring tool on-demand and contains multiple instances of IdentifyEnvironmentOptions and IdentifyRestApiOptions.

Example: appsettings.json

{
  "Serilog": {
    "Using": [
      "Serilog.Sinks.Console",
      "Serilog.Sinks.File",
      "Serilog.Sinks.ApplicationInsights"
    ],
    "MinimumLevel": "Verbose",
    "WriteTo": [
      {
        "Name": "ApplicationInsights",
        "Args": {
          "connectionString": "#APPLICATION_INSIGHTS_CONNECTION_STRING",
          "telemetryConverter": "Serilog.Sinks.ApplicationInsights.TelemetryConverters.TraceTelemetryConverter, Serilog.Sinks.ApplicationInsights"
        }
      },
      {
        "Name": "Console",
        "Args": {
          "outputTemplate": "{Message:l}{NewLine}{Exception}"
        }
      },
      {
        "Name": "File",
        "Args": {
          "path": "Logs/log-information.json",
          "rollingInterval": "Day",
          "outputTemplate": "{Message:l}{NewLine}{Exception}",
          "restrictedToMinimumLevel": "Information"
        }
      },
      {
        "Name": "File",
        "Args": {
          "path": "Logs/log-warning.json",
          "rollingInterval": "Day",
          "outputTemplate": "{Message:l}{NewLine}{Exception}",
          "restrictedToMinimumLevel": "Warning"
        }
      },
      {
        "Name": "File",
        "Args": {
          "path": "Logs/log-error.json",
          "rollingInterval": "Day",
          "outputTemplate": "{Message:l}{NewLine}{Exception}",
          "restrictedToMinimumLevel": "Error"
        }
      },
      {
        "Name": "File",
        "Args": {
          "path": "Logs/log-debug.json",
          "rollingInterval": "Day",
          "outputTemplate": "{Message:l}{NewLine}{Exception}",
          "restrictedToMinimumLevel": "Debug"
        }
      }
    ],
    "Enrich": [ "FromLogContext" ]
  },
  "AllowedHosts": "*",
  "CompositeOptions": {
    "IdentifyEnvironmentOptions": [
      {
        //SQL Authentication
        "DatabaseConnectionString": "Server=#SERVER_NAME;Initial Catalog=Identify;Persist Security Info=False;User ID=#USER_ID;Password=#PASSWORD;MultipleActiveResultSets=False;Encrypt=True;TrustServerCertificate=False;Connection Timeout=30;",
        "ConnectionName": "Identify",
        "DiagnosticsToRun": [ "DatabaseDiagnostics" ],
        "SqlQueriesToRun": [ "db_query_DatabaseSize.sql" ],
        "SchemasToRun": [ "identify01" ],
        "ComparisonTargetVersion": "5.15", //The target version used for data comparison across different tenants
        "DiagnosticsOversized": {
          "MaxTableSizeInMB": 1000,
          "MaxTableRows": 500
        },
        "IdentifyInstanceOptions": [
          {
            "Schema": "identify01",
            "SqlCommandsToRun": [
              {
                "Command": "schema_command_OauthAccessTokenCleanUp.sql"
              }
            ]
          }
        ]
      },
      {
        // Windows Authentication
        "DatabaseConnectionString": "Server=#SERVER_NAME; Database=IdentifyAudit; Trusted_Connection=True; MultipleActiveResultSets=true;MultiSubnetFailover=False;TrustServerCertificate=True;",
        "SqlQueriesToRun": ["db_query_DatabaseSize.sql", "schema_query_IdentifyIndex.sql", "db_query_IdentifyTableSize.sql"],
        "SchemasToRun": ["identify02"],
        "ComparisonTargetVersion": "5.16"
        "ConnectionName": "IdentifyAudit",
        "DiagnosticsToRun": ["DatabaseNonQuery", "DatabaseDiagnostics", "PotentialUpgradeIssue"],
        "DiagnosticsOversized": {
          "MaxTableSizeInMB": 1000,
          "MaxTableRows": 500
        }
      }
    ],
    "IdentifyRestApiOptions": [
      {
        "BaseUrl": "https://identify01.safewhere.local/",
        "RefreshToken": "#REFRESH_TOKEN",
        "ClientId": "#CLIENT_ID",
        "ClientSecret": "#CLIENT_SECRET",
        "Version": "5.15"
      }
    ],
    "SecureSensitiveProperty": []
  }
}

IdentifyEnvironmentOptions configuration

A list of options that includes commands or queries that can be run on the entire database or multiple schemas.

  • DatabaseConnectionString: Specifies the connection string to connect to the database server. Running queries only requires read access, while running commands to make changes to the database requires write access. Refer to the Database user permissions section for details on assigning necessary permissions to the user.
  • ConnectionName: Specifies the name of the database connection.
  • SqlQueriesToRun: Specifies the list of all queries that the DatabaseDiagnostics needs to run.
  • SchemasToRun: Specifies the schemas for which scripts need to be run.
  • ComparisonTargetVersion: Specifies the target version (from 5.15) used for data comparison across different tenants.
  • DiagnosticsToRun: Specifies the list of all diagnostics and commands to run (refer to the list of command names above).
  • IdentifyInstanceOptions: Specifies the list of all commands that can be run on the entire database or multiple schemas.
    • Schema: Specifies the schema for which the command needs to be run.
    • SqlCommandsToRun: Specifies the commands (which make changes to data) to run for this specific schema. Each command has following settings:
      • Command: Specifies the SQL script for the command.
      • BatchSize: Specifies the batch size of the command if it processes data in batches.
      • CommandTimeoutInSeconds: Specifies the maximum time to run the command.
      • MaxEvents: Specifies the maximum number of rows to run the command on.
      • For example, putting all parameters into action, you can configure a cleanup command to delete a maximum of 1 million rows in batches of 10,000 rows each time it runs, and the command can run for a maximum of 20 minutes.
  • DiagnosticsOversized: Represents the maximum allowable number of rows and maximum table size for tables.
    • MaxTableSizeInMB: Specifies the maximum table size. Only tables whose size are larger than this setting are reported.
    • MaxTableRows: Specifies the maximum allowable number of rows. Only tables that have more rows than this setting are reported.

Note:

  • For scripts that start with "schema_" and for the "IndexDiagnostics" or "DetectOversized" commands, it is necessary to include the "SchemasToRun" setting.
  • For the "PotentialUpgradeIssue" and "DetectOversized" commands, it is necessary to include the "DiagnosticsOversized" setting.

IdentifyRestApiOptions configuration

IdentifyRestApiOptions specifies the list of options that include instances' information for the REST API. To configure IdentifyRestApiOptions, you should have sufficient information to configure the settings for IdentifyRestApiOptions.

  • BaseUrl: The URL of your instance.

azurefuction-base-url

  • Version: Version of your ternant.
  • RefreshToken: This is the refresh token obtaining from My REST API key.

azurefuction-refresh-token

  • ClientId: This is the client id of the Identify OAuth2 Token for REST APIs application.
  • ClientSecret: This is the client secret of the Identify OAuth2 Token for REST APIs application.

azurefuction-clientid-clientsecret

Example:

"IdentifyRestApiOptions": [
    {
        "BaseUrl": "https://diagmondemo.safewhere.local/",
        "Version": "5.15",
        "RefreshToken": "ery1ywwO6t",
        "ClientId": "oauth2_w0qB2shqjq",
        "ClientSecret": "oauth2_w0qcbddwhqjq",
    }
]

Logging configuration

The logging configuration, specifically the Serilog section, is set up to write any diagnostic and monitoring tool log values.

  • Create an json setting configuration file
{
  "Serilog": {
    "Using": [],
    "MinimumLevel": "Verbose",
    "WriteTo": [],
    "Enrich": ["FromLogContext"]
  }
}

  • We have 3 options for logging:

    1. Write to Console

      Using Serilog.Sinks.Console

      Add to Serilog:WriteTo

      {
    "Name": "Console"
},

      Example:

      {
  "Serilog": {
    "Using": ["Serilog.Sinks.Console"],
    "MinimumLevel": "Information",
    "WriteTo": [
      {
        "Name": "Console",
        "Args": {
          "outputTemplate": "{Message:l}{NewLine}{Exception}"
        }
      }
    ],
    "Enrich": ["FromLogContext"]
  }
}

    2. Write to File

      Using Serilog.Sinks.File

      Add to Serilog:WriteTo

      {
    "Name": "File",
    "Args": {
        "path": "{your_local_logging_path}",
        "rollingInterval": "Day",
        "outputTemplate": "{Message:l}{NewLine}{Exception}",
        "restrictedToMinimumLevel": "Information"
    }
},
{
    "Name": "File",
    "Args": {
        "path": "{your_local_logging_path}",
        "rollingInterval": "Day",
        "outputTemplate": "{Message:l}{NewLine}{Exception}",
        "restrictedToMinimumLevel": "Warning"
    }
},
{
    "Name": "File",
    "Args": {
        "path": "{your_local_logging_path}",
        "rollingInterval": "Day",
        "outputTemplate": "{Message:l}{NewLine}{Exception}",
        "restrictedToMinimumLevel": "Error"
    }
},
{
    "Name": "File",
    "Args": {
        "path": "{your_local_logging_path}",
        "rollingInterval": "Day",
        "outputTemplate": "{Message:l}{NewLine}{Exception}",
        "restrictedToMinimumLevel": "Debug"
    }
}

      Note: {your_local_logging_path} is a path to save a log file matching MinimumLevel (Information, Warning, Error)

      Example:

      {
    "Serilog": {
        "Using": [
            "Serilog.Sinks.File",
        ],
        "MinimumLevel": "Information",
        "WriteTo": [
            {
                "Name": "File",
                "Args": {
                "path": "Logs/log-information.json",
                "rollingInterval": "Day",
                "outputTemplate": "{Message:l}{NewLine}{Exception}",
                "restrictedToMinimumLevel": "Information"
                }
            },
            {
                "Name": "File",
                "Args": {
                "path": "Logs/log-warning.json",
                "rollingInterval": "Day",
                "outputTemplate": "{Message:l}{NewLine}{Exception}",
                "restrictedToMinimumLevel": "Warning"
                }
            },
            {
                "Name": "File",
                "Args": {
                "path": "Logs/log-error.json",
                "rollingInterval": "Day",
                "outputTemplate": "{Message:l}{NewLine}{Exception}",
                "restrictedToMinimumLevel": "Error"
                }
            },
            {
                "Name": "File",
                "Args": {
                "path": "Logs/log-debug.json",
                "rollingInterval": "Day",
                "outputTemplate": "{Message:l}{NewLine}{Exception}",
                "restrictedToMinimumLevel": "Debug"
                }
            }
        ],
        "Enrich": [ "FromLogContext" ]
    }
}

    • Write to Application Insights

      Using Serilog.Sinks.ApplicationInsights

      Serilog:WriteTo add

      {
    "Name": "ApplicationInsights",
    "Args": {
        "connectionString": "{your_connection_string}",
        "telemetryConverter": "Serilog.Sinks.ApplicationInsights.TelemetryConverters.TraceTelemetryConverter, Serilog.Sinks.ApplicationInsights"
    }
}

      Note: {your_connection_string} click here for how to get your Application Insights connection string

      Example:

      {
    "Serilog": {
        "Using": [
            "Serilog.Sinks.ApplicationInsights",
        ],
        "MinimumLevel": "Information",
        "WriteTo": [
            {
                "Name": "ApplicationInsights",
                "Args": {
                "connectionString": "xxx",
                "telemetryConverter": "Serilog.Sinks.ApplicationInsights.TelemetryConverters.TraceTelemetryConverter, Serilog.Sinks.ApplicationInsights"
                }
            },
        ],
        "Enrich": [ "FromLogContext" ]
    }
}

Configure and execute Diagnostic tool on console

Configure the appsettings file

The Console tool reads from a JSON configuration file. There are multiple preset configuration files named appsettings.<profile_name>.json, where <profile_name> is the name of your specific configuration file. The <profile_name> is optional so if you leave it out or empty, the tool will use the default profile appsettings.json.

Database user permissions

To execute tools, at least two roles are required for a user in the database: db_datareader and db_datawriter for the database Identify and IdentifyAudit. This applies to both AzureSQL server and on-premise SQL server.

db_assign_roles

  1. db_datareader: This role is necessary for reading data from the database. It allows the user to execute SELECT queries on the tables in the database, crucial for any tool that needs to fetch and read data.

  2. db_datawriter: This role allows the user to modify the data in the database. It includes permissions to execute INSERT, UPDATE, and DELETE queries, necessary for any tool that needs to update data, insert new data, or delete existing data.

To assign these roles, you can use the GRANT command in SQL. Here's an example for the Identify database:

USE Identify
EXEC sp_addrolemember 'db_datareader', '<user_name>'
EXEC sp_addrolemember 'db_datawriter', '<user_name>'

Execute tool on console

Navigate to download site, and select DiagMon to download the application. Choose DiagMon-Console if you intend to execute the tool on the console.

Create your presets file following the structure: appsettings.<profile_name>.json in current folder (<profile_name> is the name of your configuration file).

Note: Default profile is appsettings.json

Double-click to Safewhere.DiagMon.Console.exe to excute the Console tool.

console app

Enter the name of the configuration file you want to diagnose as <profile_name>, and wait for the results. If <profile_name> is empty or not provided, the tool will run with the default profile.

console app execute

Run with command line arguments:

To use the Safewhere.DiagMon.Console.exe tool with the --profile argument, follow these steps:

  1. Open a Terminal or Command Prompt

  2. Navigate to the tool's directory

Use the cd command to navigate to the directory where Safewhere.DiagMon.Console.exe is located. Replace path/to/Safewhere.DiagMon.Console.exe with the actual path on your system.

cd path/to/Safewhere.DiagMon.Console.exe
  1. Run the tool with a profile:

Execute the tool with the desired profile using the following command:

Safewhere.DiagMon.Console.exe --profile <profile_name>

Replace <profile_name> with the name of the profile you want to use. If <profile_name> is empty or not provided, the tool will run with the default profile.

Examples:

  • Run with a specific profile:

    Safewhere.DiagMon.Console.exe --profile Development

  • Run with the default profile:

    Safewhere.DiagMon.Console.exe

Configure and execute Diagnostic tool on Azure Function

If you do not have a Function App in your Azure Portal, click here to create one.

Configure on Azure function

The Azure function reads the tool's settings from its configuration. If a setting is not configured there, the tool will read from appSettings by default.

config az

Follow these steps to configure Diagnostic tool on Azure Function:

  • Step 1: Create a JSON configuration for CompositeOptions with your desired configuration options.

    Example:

    {
    "CompositeOptions": {
        "IdentifyEnvironmentOptions": [
            {
                "DatabaseConnectionString": "Server=localhost; Database=Identify; uid=dev; pwd={your_password} ; MultipleActiveResultSets=true;MultiSubnetFailover=False;TrustServerCertificate=True;",
                "SqlQueriesToRun": [ "db_query_DatabaseSize.sql", "schema_query_IdentifyIndex.sql", "db_query_IdentifyTableSize.sql" ],
                "SchemasToRun": [ "identify01", "identify02" ],
                "ConnectionName": "Identify",
                "DiagnosticsToRun": [ "DatabaseNonQuery", "DatabaseDiagnostics" ]
            }
        ],
        "IdentifyRestApiOptions": [
            {
                "BaseUrl": "https://dev.safewhere.local/",
                "Version": "5.15.102",
                "RefreshToken": "ery1ywwO6t",
                "ClientId": "w0qB2shqjq",
                "ClientSecret": "sffershqjq",
            }
        ]
    }
}

  • Step 2: Encode the JSON configuration created in Step 1 using Base64.

    base64 encode In this example used the VS Code extension vscode-base64

  • Step 3: Create a new application setting named DiagMon:CompositeOptions and paste the Base64-encoded value created in Step 2 into the value field. Then, click OK to save the setting.

    config composite az

Steps 4 and 5 are optional, as the Azure function comes with default values for its Application Insight during creation. If you wish to log into your custom Application Insights, you may proceed with these steps.

  • Step 4: Update APPLICATIONINSIGHTS_CONNECTION_STRING setting.

    azure_function_config_ai_instrumentation_key

  • Step 5: Add APPINSIGHTS_INSTRUMENTATIONKEY setting.

    azure_function_config_ai_connstring

    Note: Find your Instrumentation key and connection string in Application Insights overview.

    azure_function_ai_info

  • Step 6: Click the Save button to save the configuration changes.

    save config az

Note:

When configuring Azure Functions, it's optinal to use the Connection strings section in the Configuration menu.

azure-function-connstring-section

If a connection string is set in the Azure Functions configuration, and the ConnectionName in CompositeOptions matches the database name in the Azure Functions configuration connection string, then the DatabaseConnectionString in CompositeOptions will be set to the connection string from the Azure Functions configuration.

For example, suppose that you want to update the DatabaseConnectionString of IdentifyAudit as shown below:

  {
    "DatabaseConnectionString": "Server=localhost; Database=IdentifyAudit; uid=dev; pwd={your_password} ; MultipleActiveResultSets=true;MultiSubnetFailover=False;TrustServerCertificate=True;",
    "SqlQueriesToRun": [ "db_query_DatabaseSize.sql", "schema_query_IdentifyIndex.sql", "db_query_IdentifyTableSize.sql" ],
    "SchemasToRun": [ "identify01", "identify02" ],
    "ConnectionName": "IdentifyAudit",
    "DiagnosticsToRun": [ "DatabaseNonQuery", "DatabaseDiagnostics" ]
  }

You can add the connection string of IdentifyAudit, which will replace the DatabaseConnectionString in CompositeOptions.

azure-function-add-connstring

Deploy Azure Functions package

Steps to deploy a package:

  1. Navigate to download site, and select DiagMon to download the application.

  2. Navigate to Advanced Tools > Click Go (it will redirect to the Kudu Service).

  3. Then select Zip Push Deploy on Tools

    azure func advanced tools

    azure func zip deploy

  4. Zip the folder DiagMon-Azure which downloaded earlier then drag the zip file to the wwwroot directory and wait for the deployment to succeed.

    azure func how to deploy

    The sample result after successful deployment:

    azure func zip deploy result

  5. Back to your Function App > Functions, the deployed function should appear.

    azure function deploy success

Use managed principal to access database

Follow instructions in Tutorial: Use a Windows VM system-assigned managed identity to access Azure SQL but replace VM with the Azure Function.

Steps:

  1. Enable Microsoft Entra Authentication to the SQL Database

enable-sql-entra-authentication

  1. Enable Azure Function Managed identity

enable-azure-func-managed-identity

  1. Grant SQL Database Access to the Managed Identity
CREATE USER [<identity-name>] FROM EXTERNAL PROVIDER;
ALTER ROLE db_datareader ADD MEMBER [<identity-name>];
ALTER ROLE db_datawriter ADD MEMBER [<identity-name>];
GRANT VIEW DATABASE STATE TO [<identity-name>];
GO

/*
<identity-name> is the name of the managed identity in Microsoft Entra ID. If the identity 
is system-assigned, the name is always the same as the name of your Function app.

- db_datareader role: a fixed-database role that grants the user the permission to read all data from all user tables in the database.
- db_datawriter role: a fixed-database role that grants the user the permission to add, delete, or change data in all user tables in the database2.
- VIEW DATABASE STATE permission: allow user to view the current state information of the database, such as the number of connections, transactions, etc.
*/

Set up Whitelist IPs

Access to Azure SQL databases are usually limited to certain client IP addresses. Meanwhile, Azure functions using a free plan can have different IPs every time they execute. You can use Function app inbound IP address to get the possible outbound IP list, but configuring them all into the firewall rule is a pain.

Execute on Azure Functions

Azure Functions will be triggered based on its configuration.

Manually trigger

  1. Navigate to Function App in Azure Portal > Functions

  2. Select function Trigger type HTTP

http trigger az

In the Overview tab of your Azure Functions app, click on Get Function Url to obtain the URL that can trigger the diagnostics. Copy this URL and paste it into a browser to trigger HTTP GET the diagnostics.

azure function url

To view the diagnostic results, navigate to the Application Insights instance that was configured in your settings.

Function app timeout duration

The functionTimeout property in the host.json file determines how long a function can run before it is canceled. HTTP triggered functions have a limit of 230 seconds regardless of the setting. The following table shows the default and maximum values (in minutes) for specific plans:

Plan Default Maximum
Consumption plan 5 10
Premium plan 30 Unlimited*
Dedicated plan 30 Unlimited*

*Up to 60 minutes. OS and runtime updates can still cancel functions.

CompositeOptions configuration using the HTTP request body

To customize the configuration of CompositeOptions in an Azure Function using an HTTP request, you should create a JSON request body containing the desired settings for CompositeOptions. When the HTTP trigger executes, it will read the settings from the request body and override any settings in the Azure Configuration object.

Example:

{
  "CompositeOptions": {
    "IdentifyEnvironmentOptions": [
      {
        "DatabaseConnectionString": "Identify",
        "SqlQueriesToRun": [ "db_query_DatabaseSize.sql"],
        "SchemasToRun": [ "identify01" ],
        "ConnectionName": "Identify",
        "DiagnosticsToRun": [ "DatabaseNonQuery", "DatabaseDiagnostics" ]
      },
    ]
  }
}
// Azure configuration CompositeOptions after Base64Decrypt

{
  "CompositeOptions": {
    "IdentifyEnvironmentOptions": [
      {
        "DatabaseConnectionString": "Identify",
        "SqlQueriesToRun": [ "db_query_IdentifyIndex.sql"],
        "SchemasToRun": [ "identify02"],
        "ConnectionName": "Identify",
        "DiagnosticsToRun": [ "DatabaseNonQuery", "DatabaseDiagnostics" ]
      },
    ]
  }
}
// Request body: Custom SchemasToRun, SqlQueriesToRun

{
  "CompositeOptions": {
    "IdentifyEnvironmentOptions": [
      {
        "DatabaseConnectionString": "Identify",
        "SqlQueriesToRun": [ "db_query_IdentifyIndex.sql"],
        "SchemasToRun": [ "identify02"],
        "ConnectionName": "Identify",
        "DiagnosticsToRun": [ "DatabaseNonQuery", "DatabaseDiagnostics" ]
      },
    ]
  }
}
// Result

Note:

  • The parameters for customization include: DiagnosticsToRun, SqlQueriesToRun, SchemasToRun, SqlCommandsToRun, Schema, ExecutionPath. When customizing a specific CompositeOptions Azure Function, it's essential to include the ConnectionName parameter in the request body. This parameter is utilized to map the request to the corresponding ConnectionName in the CompositeOptions Azure Function.

  • In the case of IdentifyInstanceOptions, the presence of the Schema in the request body for your CompositeOptions Azure Functions will either override SqlCommandsToRun or add this schema configuration to the CompositeOptions Azure Functions. To clarify, if the IdentifyInstanceOptions object in the request body contains a value for the Schema property, it will override the SqlCommandsToRun property in the CompositeOptions Azure Function linked to the ConnectionName specified in the request body. However, if the Schema property is absent in the request body, the IdentifyInstanceOptions object will add a configuration for the corresponding CompositeOptions Azure Function.

    Example: Azure configuration CompositeOptions after Base64Decrypt

    {
    "CompositeOptions": {
        "IdentifyEnvironmentOptions": [
            {
                "DatabaseConnectionString": "Identify",
                "ConnectionName": "Identify",
                "IdentifyInstanceOptions": [
                    {
                        "Schema": "dev",
                        "SqlCommandsToRun": [
                            {
                                "Command": "a.sql"
                            }
                        ]
                    },
                ],
            },
        ]
    }
}

    Request body: Custom SchemasToRun, SqlQueriesToRun

    {
    "CompositeOptions": {
        "IdentifyEnvironmentOptions": [
            {
                "DatabaseConnectionString": "Identify",
                "ConnectionName": "Identify",
                "IdentifyInstanceOptions": [
                    {
                        "Schema": "dev",
                        "SqlCommandsToRun": [
                            {
                                "Command": "b.sql"
                            }
                        ]
                    },
                    {
                        "Schema": "monitor",
                        "SqlCommandsToRun": [
                            {
                                "Command": "x.sql"
                            }
                        ]
                    }
                ],
            },
        ]
    }
}

    {
    "CompositeOptions": {
        "IdentifyEnvironmentOptions": [
            {
                "DatabaseConnectionString": "Identify",
                "ConnectionName": "Identify",
                "IdentifyInstanceOptions": [
                    {
                        "Schema": "dev",
                        "SqlCommandsToRun": [
                            {
                                "Command": "b.sql"
                            }
                        ]
                    },
                    {
                        "Schema": "monitor",
                        "SqlCommandsToRun": [
                            {
                                "Command": "x.sql"
                            }
                        ]
                    }
                ],
            },
        ]
    }
}
Use Function App directly

Navigate to your HTTP Function > Code + Test > Test/Run > Enter your Request body you want to customize CompositeOptions > Click Ok

azure function test portal

Use Postman

Navigate to your HTTP Function and Get Function URL

azure function url

Try HTTP POST and enter your request body into Body area

azure function test postman

Auto trigger

Azure Functions can automatically trigger diagnostics on a schedule. To customize the timer schedule for Azure Functions automatic diagnostics, navigate to the Configuration page and create a new Application Setting named DiagMon:TimerTrigger. The setting uses the Cron job format. For example, if you set it to `0 */11 0-1 * * *``, the schedule is set to run every 11 minutes from 00:00 to 01:00 AM nightly, every day, every week, every month.

config timer trigger

Troubleshooting

These steps below show you how to troubleshoot errors, exceptions, and other performance issues by leveraging the valuable insights provided in Application Insights failure logs:

  1. Open Application Insights:

    azure-function-troubleshooting-ai

  2. Access the Failures menu:

    azure-function-troubleshooting-ai-failures

  3. Review error details:

    azure-function-troubleshooting-ai-details-error

How to interpret diagnostics and monitoring results

The Diagnostics and Monitoring tool produces results in three modes: Console, File, and Application Insights. Note that for Azure Function, results are exclusively written to Application Insights.

Console

Interpreting the console output of the Diagnostics tool may be challenging, as it requires scrolling and searching for logs containing the keyword "Category".

Console Log Result

Log files

If you've configured logging to write to a file, navigate to the directory specified in the appsettings file and open the log files. Look for the keyword 'Category' to locate pertinent information.

File Log Result

Application insights

For a comprehensive view of Diagnostics and Monitoring results, access the configured Application Insights instance.

Application Insights offers visualizations for log results.

  1. Navigate to Log and use the query:

    traces
| where message contains "Category"

  2. Inspect any log message by clicking on it to reveal details, including severity level, timestamp, category, message, and any custom properties added during logging. This detailed view assists in diagnosing issues or errors that may have arisen during diagnostics execution.

Application Insight Log Detail Result