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  • Monte Carlo makes it easy to customize your environment with our API, API Explorer, SDK, CLI, and Webhooks. You can also create new monitors and notifications programmatically with Monitors as Code.

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  • Customize your data observability workflows, monitors, notifications, and platform features via our simple yet powerful SDK.

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  • Use Monte Carlo’s CLI to configure your data observability platform programmatically.

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Fits into your development workflows.

Deploy Monte Carlo’s automated monitors and custom rules as part of your CI/CD process with YAML-based monitors configuration.

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Prevent painful backfills.

Stop bad data in its tracks to avoid inaccurate reporting and costly backfills by embedding data quality checks into your pipelines.

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Don’t see an integration you’re looking for?

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3 simple steps for Snowflake cost optimization without getting too crazy.

Snowflake cost optimization efforts need to be right sized. Learn how to get the most savings with investing too much of your team’s time.

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Data testing vs. data quality monitoring vs. data observability: What's right for your team?

In the fight against bad data and broken pipelines, there are a few popular options. But what makes the most sense for your data quality needs? We’ve got the answers.

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