High-level programming frameworks for data intensive processing are being increasingly adopted, as they provide a simple programming interface allowing programmers to create and run data-intensive applications on commodity hardware. Unfortunately, monitoring and debugging applications in this framework is far more complicated than for sequential programs, and often leads to much difficulty and time loss on the part of the programmer. This difficulty arises not only from the complex global state of data-intensive applications but also from the nondeterministic nature of parallel systems. The core challenges involved in creating the Hyracks Console were: to identify the information useful to the users, gathering this data at runtime, and ultimately, presenting the data in a visual and scalable representation for the user. This paper covers in detail about the design and implementation of the Hyracks Console, and it explains how the Hyracks Console can be used to monitor and understand not only the parallel processes of the applications but the Hyracks partitioned-parallel runtime platform itself.