Abstract: A computer-implemented method, a system, and a computer program product for cloud object storage format conversion are provided. A processor identifies a target object format and an object storage bucket in a COS environment. The processor determines a function associated with objects in the storage bucket. The processor generates a conversion policy that includes converting a first format of an object to a target format, based on the function, the object storage bucket, the first format, and input from a user. The processor receives a request to perform the function on a object having a first format and an object storage bucket corresponding to performing the function on the object, and the processor triggering conversion of the object having the first format to the target format within the cloud environment, based on the conversion policy for the object storage bucket.

Abstract: Some embodiments of the present invention are directed towards techniques for validating performance degradation of cloud deployed application from neighbor based variability. Historical runs of an application deployed in a cloud environment are received. In these embodiments, a subset of these historical runs, using associated performance metrics recorded during the historical runs, are compared against performance metrics of a current version of the application which is deployed in a cloud environment to determine a subset of historical runs similar to the current version. The determined subset is then used to draw comparisons with performance metrics of a baseline run of the application to validate if a performance degradation has occurred by updating the application to the current version, reducing the impact of neighbor-based variability on evaluating performance degradation.

Abstract: Some embodiments of the present invention are directed towards techniques for validating performance degradation of cloud deployed application from neighbor based variability. Historical runs of an application deployed in a cloud environment are received. In these embodiments, a subset of these historical runs, using associated performance metrics recorded during the historical runs, are compared against performance metrics of a current version of the application which is deployed in a cloud environment to determine a subset of historical runs similar to the current version. The determined subset is then used to draw comparisons with performance metrics of a baseline run of the application to validate if a performance degradation has occurred by updating the application to the current version, reducing the impact of neighbor-based variability on evaluating performance degradation.