You're familiar with DevOps, but have you thought about DataOps? Data Operations is all about breaking down barriers between data managers and data consumers. DevOps is centered on product development, while DataOps shortens the cycle time for analytics and align with organizational goals. In short, DataOps helps you make data-driven decisions.

Observability and monitoring are about protecting systems and mitigating risk. Maybe it's time to assess your products and strategies to give priorities and blockers higher priority in your planning. We'll help you understand how to identify these tasks that should "Shift Left" - thereby tackling these needs earlier in your Systems Development Life Cycle.

Take these lessons and your organization can shift database management and data integration from unreliable, inflexible, and riddled with problems to a stable, reliable, and scalable architecture you'll rely on for those data-driven decisions.

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