Systems | Development | Analytics | API | Testing

To ensure that jobs are running optimally, DataOps teams need to look at the detailed code. But DataOps teams don’t have the right tools to easily examine problematic code - or a simple path to optimizing it. With Unravel Data, DataOps teams can quickly troubleshoot applications that are throwing errors - all the way down to a specific line of problematic code. All in a single view.

DataOps teams need to understand where costs are going. But the reports provided by cloud vendors aren’t very granular - and they only get the reports after excess costs have been racked up. Unravel allows DataOps teams to understand where costs are going at a detailed level: by user, by service, by department. This information is captured and available as soon as a cluster is detected – allowing DataOps teams to take action and optimize in real time.

DataOps teams need to be able to set budgets at a specific scope - and know if your various teams or departments are tracking to those budgets. But today, most DataOps teams only know that the budget was overrun after it’s too late. With Unravel, establishing and tracking budgets to prevent overruns is easy.

Demo: Unravel Data - Keep DataOps Budgets On Track (Automatically) DataOps teams are paying tremendous amounts of money for cloud instances that were spun up and then forgotten. For larger enterprises, this can equate to millions of dollars in waste. But even for smaller teams, this type of inefficiency is not acceptable. With Unravel, your DataOps team can set a budget/cost threshold (or a time duration), to ensure that you keep your budgets on track. Receive alerts as soon as an instance hits your predefined threshold - instead of discovering it in your monthly bills.

Today, DataOps teams have to correlate data from far too many point tools. DataOps observability is far too cumbersome; the manual effort to optimize data apps takes time that DataOps teams simply don’t have. With Unravel’s AI-enabled platform, all of this disparate data is pulled together into a unified view of data app performance; every detail in a single view. View configurations, logs, and errors… all in one place.

Optimizing data apps shouldn’t be trial and error. This takes nights and weekends away from DataOps teams - and it’s incredibly inefficient. Unravel provides an “expert in a box” feature, driven by AI, that provides DataOps teams with tangible insights and recommendations to optimize data apps. Need to fix a bottleneck to meet an SLA? Trying to improve the overall efficiency of data pipelines? Unravel makes this easy with specific, automated recommendations (all the way down to the code-level) to tune your data apps for better performance.