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Demo: Unravel Data - Preparing for Cloud Migration with Automated Cluster Discovery

One of the first steps of any cloud migration is creating an inventory of the applications and services that are currently being used. Today, that involves a lot of manual interviews with people from across the business to understand the needs behind each cluster. This process, as you can imagine, is incredibly prone to errors and miscommunications that can negatively impact migration planning efforts.

Demo: Unravel Data - How to Avoid Tuning & Replatforming Delays

How can your DataOps team anticipate bottlenecks that might occur during a cloud migration? One of the most common issues is version incompatibilities. On prem environments tend to run older instances of applications (vs. newer cloud environments) - which means that your team will need to consider any incompatible code before migrating.

Demo: Unravel Data - Automated Troubleshooting for Job Failures

For DataOps teams, job failures are common. But finding the issue is (traditionally) where things get even worse. It can take hours or days to troubleshoot a job failure. Unravel Data provides a single view where DataOps teams can locate exactly where–and why–a job failed, along with precise recommendations to troubleshoot the error. DataOps teams are now able to both diagnose and troubleshoot job failures in minutes instead of days or weeks.

Demo: Unravel Data - Data Pipeline Optimization (The Easy Way)

Data pipelines fail all the time for a variety of reasons; service downtime, data volume fluctuations, etc. Diagnosing these failures manually is very difficult and time consuming. Unravel Data allows DataOps teams to troubleshoot pipeline failures automatically – showing exactly where and why a pipeline failed, and precise recommendations to remedy the issues. Using Unravel, DataOps teams can now diagnose and fix data pipeline failures in a fraction of the time.

Demo: Unravel Data - Code-Level Insights for DataOps Teams

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.

Demo: Unravel Data - Allocating Costs with Precision Using the Enhanced Chargeback Report

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.

Demo: Unravel Data - Automated Budget Tracking to Prevent Overruns

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)

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.