Monitoring with Datadog

What it does:

Tracks how real users interact with your platform (e.g., page load times, clicks, errors).

How it works:

• Captures user sessions and performance metrics.
• Highlights slow pages or broken features.

Use Case:

Fix slow-loading dashboards or sign-up errors before users complain.

What it does:

Monitors scheduled data pipelines (e.g., dbt jobs, Fivetran syncs).

How it works:

• Tracks job success/failure rates and runtime.
• Alerts if a job fails or takes too long.

Use Case:

Ensure nightly customer data updates complete on time.

What it does:

Monitors real-time data streams (e.g., Kafka, AWS Kinesis).

How it works:

• Tracks message latency and backlog.
• Alerts if data flow slows or stops.

Use Case:

Prevent delays in processing clickstream data.

What it does:

Monitors Snowflake warehouse performance and costs.

How it works:

• Tracks query runtime, credit usage, and storage.
• Alerts for expensive or long-running queries.

Use Case:

Optimize Snowflake costs and avoid query timeouts.