- #Field genius data collector how to#
- #Field genius data collector code#
- #Field genius data collector iso#
String values that appear to be GUIDs are given the _g suffix and formatted as a GUID, even if the incoming value doesn't include dashes. This table lists the property data type and corresponding suffix: Property data type If a property contains a null value, the property isn't included in that record. To identify a property's data type, Azure Monitor adds a suffix to the property name. This helps ensure that there are no conflicts between user-created type names and those shipped in current or future Microsoft solutions. For example, if you enter the name MyNewRecordType, Azure Monitor creates a record with the type MyNewRecordType_CL. The suffix _CL is automatically appended to the name you enter to distinguish it from other log types as a custom log. Azure Monitor reads the incoming data and then creates properties that match the data types of the values that you enter.Įach request to the Data Collector API must include a Log-Type header with the name for the record type. Currently, you can't write data to existing record types that were created by other data types and solutions. You define a custom record type when you submit data through the Azure Monitor HTTP Data Collector API. All the records must be the same record type. You can batch multiple records together in a single request by using the following format. The property name can contain only letters, numbers, and the underscore (_) character. It must include one or more records with the property name and value pairs in the following format.
#Field genius data collector code#
The samples in the next sections have sample code to help you create an authorization header. Use this format: Signature=Base64(HMAC-SHA256(UTF8(StringToSign))) When you have the signature string, encode it by using the HMAC-SHA256 algorithm on the UTF-8-encoded string, and then encode the result as Base64. Here's an example of a signature string: POST\n1024\napplication/json\nx-ms-date:Mon, 08:00:00 GMT\n/api/logs Use this format to encode the SharedKey signature string: StringToSign = VERB + "\n" + Then, you encode it by using Base64 encoding. Signature is a Hash-based Message Authentication Code (HMAC) that's constructed from the request and then computed by using the SHA256 algorithm. WorkspaceID is the unique identifier for the Log Analytics workspace. Here's the format for the authorization header: Authorization: SharedKey : Then, pass that signature as part of the request. To authenticate a request, sign the request with either the primary or the secondary key for the workspace that's making the request.
#Field genius data collector iso#
The contents of the message field should follow the ISO 8601 format YYYY-MM-DDThh:mm:ssZ.Īny request to the Azure Monitor HTTP Data Collector API must include an authorization header. If you don't specify this field, the default for TimeGenerated is the time that the message is ingested. If you specify a field, its contents are used for TimeGenerated. The name of a field in the data that contains the timestamp of the data item. If this field isn't specified, the data won't be included in resource-context queries. It populates the _ResourceId property and allows the data to be included in resource-context queries. The resource ID of the Azure resource that the data should be associated with. The date that the request was processed, in RFC 7234 format. It can contain only letters, numbers, and the underscore (_) character, and it can't exceed 100 characters. Specify the record type of the data that's being submitted.
#Field genius data collector how to#
Later in the article, you can read about how to create an HMAC-SHA256 header. The version of the API to use with this request. The unique identifier for the Log Analytics workspace. We describe each attribute in more detail later in the article. The next three tables list the attributes that are required for each request. To use the HTTP Data Collector API, you create a POST request that includes the data to send in JSON. When you submit the data, an individual record is created in the repository for each record in the request payload. You format your data to send to the HTTP Data Collector API as multiple records in JavaScript Object Notation (JSON). The client might be a runbook in Azure Automation that collects management data from Azure or another cloud, or it might be an alternative management system that uses Azure Monitor to consolidate and analyze log data.Īll data in the Log Analytics workspace is stored as a record with a particular record type. You can use the HTTP Data Collector API to send log data to a Log Analytics workspace in Azure Monitor from any client that can call a REST API. The Azure Monitor HTTP Data Collector API is in public preview.
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