OverOps analyzes and optimizes
code at runtime to tell you when, where and why code breaks
See into Your Code at Runtime
OverOps analyzes code loaded into your JVM/CLRs at runtime and assigns a unique fingerprint to each line of code. At runtime OverOps correlates each error and slowdown to its unique signature to identify anomalies and capture their complete state.
Source Code & Variables
By Analyzing and indexing the structure of your code, OverOps is able to collect the most relevant variable state information from running JVM/CLRs whenever critical events take place. Data is captured across the entire call stack up to 10 levels into heap.
OverOps maintains highly efficient cyclical in-memory buffers of log statements to show you the DEBUG/TRACE state of your code at the moment of critical events, without increasing log verbosity or parsing log files from disk
Error Detection & Prioritization
OverOps correlates all code events at runtime to their unique fingerprint (even as code changes over time) to identify and prioritize new and spiking errors without relying on developer foresight to log and search for them.
Host / Container State
OverOps captures detailed system metrics (e.g. CPU, GC) of the host / container in which your code is executing, as well as complete snapshots of the JVM/CLR state (e.g. env vars, threading state) at the moment of critical errors and slowdowns.
Calls into application code (i.e. Transactions) are detected and profiled without requiring any configuration. Each transactions' performance and deviation from baseline is compared against previous versions of the code to identify slowdowns.