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Snowflake

Signals Provided
  • Infrastructure Entities - Complete infrastructure topology including compute, storage, and networking resources
  • Metrics - Performance metrics from applications and infrastructure
  • Symptoms - Automatic symptom detection from metrics, traces, and external monitoring systems

Causely provides native integration with Snowflake.

Step 1: Create a user​

Create a user for your Snowflake account.

Step 2: Create a Kubernetes Secret for the user​

After creating the user create a Kubernetes Secret:

kubectl create secret generic --namespace causely snowflake-credentials \
  --from-literal=username="..." \
  --from-literal=password='...' \
  --from-literal=account="xxxxxx-yyyyyy" \
  --from-literal=warehouse="..."

Step 3: Update Causely Configuration​

Once the Secret is created, update the Causely configuration to enable scraping for the new database. Below is an example configuration:

scrapers:
  snowflake:
    enabled: true
    instances:
      - secretName: snowflake-credentials
        namespace: causely

Alternative: Enable Credentials Autodiscovery​

Causely also supports credentials autodiscovery. This feature allows you to add new scraping targets without updating the Causely configuration. Simply label the Kubernetes Secret to enable autodiscovery for the corresponding scraper.

Example: Labeling Secrets for Autodiscovery​

kubectl --namespace causely label snowflake-credentials "causely.ai/scraper=Snowflake"

With these steps, you can seamlessly integrate Causely with Snowflake and configure it to monitor your desired resources.