Abstract: Techniques for categorizing exceptions and logs are described. For example, exception data of an exception that occurred on a machine is accessed. The exception data includes a stack trace of the exception. A determination is made that the exception is unique based on the stack track of the exception. Responsive to the determination that the exception is unique, the exception is categorized, by a machine including a memory and at least one processor, into one or more categories based on the stack trace of the exception.

Abstract: Techniques for categorizing exceptions and logs are described. For example, exception data of an exception that occurred on a machine is accessed. The exception data includes a stack trace of the exception. A determination is made that the exception is unique based on the stack track of the exception. Responsive to the determination that the exception is unique, the exception is categorized, by a machine including a memory and at least one processor, into one or more categories based on the stack trace of the exception.

Abstract: Techniques for evaluating the performance of a service or machine after a change that pertains to the service or machine are described. For example, an indication of a change that pertains to a service or machine is received. In response to the receiving of the indication of the change, using at least one computer processor, a performance of the service or machine after the change is evaluated. The evaluation may be based on a particular rule for evaluating the performance of the service or machine after the change. An evaluation result is generated based on the evaluating of the performance of the service or machine after the change. The evaluation result indicates the quality of the performance of the service or machine after the change.