[Music]Your organization is powered by data and managing your infrastructure effectively is non-negotiable. Aside from having a comprehensive, intelligent data strategy, when it comes to keeping workloads running smoothly, you'll hear a lot of talk about observability and monitoring. But are these terms interchangeable? Let's break it down. First up, what is observability? Simply put, observability means having the ability to understand the internal state of a system just by looking at the data it produces. Think of it as being able to find the why behind an issue. It's not just about getting alerts. It's about digging deeper to understand the source of the problem. Observability is key for modern infrastructure management because our systems and environments are more complex than ever. Heterogeneous workloads are becoming the norm, but they also add difficulty when it comes to getting a unified view. Without observability, you're flying blind. It's what empowers you to confidently troubleshoot resource plan and scale. While observability is about the why, monitoring is about the what. Monitoring tools track specific metrics over time, CPU usage or application response times. They alert you when something goes outside of the normal parameters. Monitoring is focused on the specific data points within your workloads. Basically, monitoring is your first line of defense when issues arise. So, why do you need both features? Well, if you're driving a car, monitoring features of the dashboard, tracking your speed or fuel usage. Observability, on the other hand, helps you understand why the engine light just came on. In order to safely and successfully drive off into the sunset, you need to know the what and why of your vehicle operation. If you only have one, you run the risk of breaking down on the side of the highway rather than making it to your destination.When it comes to a solution that provides both monitoring and observability, you want something that not only alerts you to trouble, but helps you understand the problem and prevent it in the future. Take the sand analyzer feature within NetApp's data infrastructure insights. It lets you know instantly when there's trouble in your storage area network and how to quickly resolve it. A good monitoring tool should seamlessly integrate with your environments and be accurate, scalable, and userfriendly. Regardless of your industry, we know that speed matters. When something goes wrong, every minute counts. Fast troubleshooting isn't just about saving time. It's about minimizing downtime, protecting the customer experience, and reducing the stress on your team. Properly understanding and implementing observability and monitoring tools helps your organization troubleshoot issues and create a unified, intelligent data infrastructure.