OverOps is able to identify and resolve errors in code via continuous code analysis and machine learning. Its agents gather exceptionally granular data from JVM and CLR runtimes and provide detailed, line-by-line insight into the causes of errors and exceptions.
OverOps thus augments or even replaces the use of log files for identifying bugs – a laborious and time-consuming process. In addition, OverOps requires no changes to the code, unlike debug technologies that require developers to instrument their code to support error tracking.
Because OverOps operates in real-time, it provides continuous reliability that can be critical to DevOps’ CI/CD approaches. In addition, OverOps helps build a culture of accountability, as developers can no longer throw code issues ‘over the wall’ to testing or ops personnel.
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