India, Nov. 20 -- Most companies today collect huge amounts of data from their apps and systems to help their engineers find and fix problems quicker. However, the volume has grown so much that most tools cannot handle it well.

To fix this, businesses often end up either deleting important data or paying hefty bills to store it. As a result, fixing issues becomes slow, visibility drops and costs keep rising.

For instance, if a food delivery app crashes during peak hours, it generates thousands of error signals in minutes. Engineers need all this data to find the root cause. But traditional tools often get overloaded, meaning the team either loses important information or spends a lot of money just to store it. This slows down the fix an...