Building a Log Analytics Module for Julia
To set up an Azure App Service running a Julia program in a container to log directly to Azure Log Analytics using the API, you'll need to follow these steps:
Obtain Workspace Information: Get your Log Analytics Workspace ID and Primary Key (shared key).
Set Up Julia for HTTP Requests: You will need a package like
HTTP.jlto make HTTP requests from Julia.Format Logs in the Correct Format: Azure Log Analytics expects logs in a specific JSON format.
Sign API Requests: You need to create a signature for each API request to authenticate it.
Send Logs to Log Analytics: Make an HTTP POST request to the Log Analytics API endpoint with the logs and the signature.
Here's an example in Julia of how you might achieve this:
Step-by-Step Guide
Step 1: Install Required Julia Packages
You need the HTTP.jl and JSON.jl packages. Install them using the following commands if you haven't already:
using Pkg
Pkg.add("HTTP")
Pkg.add("JSON")Step 2: Define the Logging Function Here is an example function to send logs to Azure Log Analytics:
using HTTP
using JSON
using Base64
using SHA
function get_signature(workspace_id, shared_key, date, content_length, method, content_type, resource)
x_headers = "x-ms-date:$date"
string_to_hash = "$method\n$shared_key\n$content_length\n$content_type\n$x_headers\n$resource"
decoded_key = Base64.decode(shared_key)
bytes_to_hash = hmac_sha256(decoded_key, string_to_hash)
encoded_hash = Base64.encode(bytes_to_hash)
authorization = "SharedKey $workspace_id:$encoded_hash"
return authorization
end
function send_log_to_log_analytics(workspace_id, shared_key, log_data, log_type)
customer_id = workspace_id
shared_key = shared_key
body = JSON.json(log_data)
resource = "/api/logs"
method = "POST"
content_type = "application/json"
content_length = string(length(body))
rfc1123date = Dates.format(now(), Dates.RFC1123Format())
signature = get_signature(workspace_id, shared_key, rfc1123date, content_length, method, content_type, resource)
url = "https://$customer_id.ods.opinsights.azure.com$resource?api-version=2016-04-01"
headers = Dict(
"Content-Type" => content_type,
"Authorization" => signature,
"Log-Type" => log_type,
"x-ms-date" => rfc1123date,
"time-generated-field" => "TimeGenerated"
)
response = HTTP.post(url, headers, body)
return response
end
Step 3: Usage Example
Call the send_log_to_log_analytics function with your workspace ID, primary key, log data, and log type.
workspace_id = "098bf664-2fc6-4205-be31-90280410c423"
shared_key = "your_primary_key_here"
log_data = [{"TimeGenerated" => Dates.format(Dates.now(), Dates.DateTimeFormat("yyyy-MM-ddTHH:MM:SSZ")), "Message" => "Test log from Julia!"}]
log_type = "YourCustomLogType" # Define your custom log type
response = send_log_to_log_analytics(workspace_id, shared_key, log_data, log_type)
println("Response Status: ", response.status)
println("Response Body: ", String(response.body))Important Notes:
Replace
your_primary_key_herewith your actual Log Analytics workspace primary key.The custom log type (e.g.,
YourCustomLogType) should follow the naming conventions: only alphanumeric characters and underscore ('_').
The error you're encountering, InvalidAuthorization with the message An invalid date format used in the x-ms-date header usually points to an issue with the date format being used in the x-ms-date header during the authorization process of your request to Azure Log Analytics.
RFC1123 Date Format Correction
To ensure the date is formatted correctly to RFC1123 standard, you should use the correct formatting string. In Julia, you should use:
rfc1123date = Dates.format(now(UTC), "e, d u y HH:MM:SS") * " GMT"This format has fields as per the correct specification:
efor the day-of-week short name.dfor the day-of-month as a zero-padded decimal number.uis not necessary for this since there's no specific directive for year-fullyear, justy.yfor the year with century as a decimal number.HHfor hour (00-23).MMfor minute (00-59).SSfor second.
using HTTP
using JSON
using Dates
using Base64
using SHA
#export send_log
function build_authorization_header(workspace_id, shared_key, date, content_length)
method = "POST"
content_type = "application/json"
resource = "/api/logs"
x_headers = "x-ms-date:" * date
string_to_hash = method * "\n" * string(content_length) * "\n" * content_type * "\n" * x_headers * "\n" * resource
decoded_key = base64decode(shared_key)
encoded_hash = base64encode(hmac_sha256(decoded_key, string_to_hash))
authorization = "SharedKey $workspace_id:$encoded_hash"
return authorization
end
function send_log(workspace_id, shared_key, log_type, log_message)
url = "https://$workspace_id.ods.opinsights.azure.com/api/logs?api-version=2016-04-01"
timestamp = Dates.format(Dates.now(UTC), Dates.RFC1123Format) * " GMT"
payload = Dict(
"time" => Dates.format(Dates.now(UTC), "yyyy-mm-ddTHH:MM:SS.sssZ"),
"logMessage" => log_message
)
json_payload = JSON.json(payload)
content_length = length(json_payload)
headers = Dict(
"Content-Type" => "application/json",
"Log-Type" => log_type,
"x-ms-date" => timestamp,
"Authorization" => build_authorization_header(workspace_id, shared_key, timestamp, content_length)
)
try
response = HTTP.post(url, headers, json_payload)
if response.status == 200
println("Log sent successfully.")
else
println("Failed to send log. Status: ", response.status)
println("Response body: ", String(response.body))
end
catch e
println("Exception occurred: ", e)
end
end
# Example usage:
# send_log("098bf664-2fc6-4205-be31-90280410c423", "pZBEa2xRsTJM+EjKhenKIa234E6Z2JG5zzG5T+w1ciYbSmw8RLubIV7FH3PuTYONYiSabH1TTbGiLB+vfFKbUw==", "JuliaTestLogType", "This is a test log message.")
function main()
# Replace with your actual workspace ID and key
workspace_id = "098bf664-2fc6-4205-be31-90280410c423"
shared_key = "pZBEa2xRsTJM+EjKhenKIa234E6Z2JG5zzG5T+w1ciYbSmw8RLubIV7FH3PuTYONYiSabH1TTbGiLB+vfFKbUw=="
log_type = "JuliaTestLogType"
# Example log data
log_data = Dict(
"TimeGenerated" => Dates.format(now(UTC), "yyyy-MM-ddTHH:MM:ss.fffZ"),
"Computer" => "Ardeshir Testing LogAnalytics",
"Level" => "Information",
"Message" => "This is a JLogs test log message from Julia"
)
send_log(workspace_id, shared_key, log_type, log_data)
#println("Log response status: ", response.status)
#println("Log response body: ", String(response.body))
end
main()References:
For more details on posting data to the Azure Log Analytics HTTP Data Collector API, you can refer to the official documentation:Azure Monitor HTTP Data Collector API
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