Azure is Microsoft’s flagship cloud computing service, providing a host of capabilities and features to enable businesses to operate and thrive in the digital age. One of these offerings, Azure Data Lake, stands as a pivotal resource for organizations that process massive volumes of data. But what exactly is Azure Data Lake?
In an ideal world CI pipelines would never fail and deployments would be easy to navigate. The reality is that the journey from commit to production can fail in subtle ways that can be hard to understand. And this problem is multiplied by the number of pipelines in your system.
Taking an application-centric approach to monitoring EUC technologies is essential to ensuring success and optimal DEX (Digital Employee Experience) when delivering desktops and apps via VDI / DaaS or from the Cloud. The EUC (End User Computing) community in recent years has increasingly focused on user experience and DEX (Digital Employee Experience) as key measures of success. Any EUC service ultimately needs to ensure users are satisfied and can work productively.
Centralized Observability may not be a buzzword but its practicality and importance can’t be denied. Let’s see why is that. As DevOps and IT teams recognize the importance of Observability, it becomes a critical component to monitor the stack and ensure data reliability. That being said, enterprises are rapidly embracing modern data stacks to harness the power of data. Therefore, a host of platforms require data observability as a tool for reliable and trustworthy data management.
