Microsoft Azure Traces
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This repository contains public releases of Microsoft Azure traces for the benefit of the research and academic community. There are currently two classes of traces:
We provide the traces as they are, but are willing to help researchers understand and use them. So, please let us know of any issues or questions by sending email to our mailing list.
The traces are sanitized subsets of the first-party VM workload in one of Azure’s geographical regions. We include jupyter notebooks that directly compare the main characteristics of each trace to its corresponding full VM workload, showing that they are qualitatively very similar (except for VM deployment sizes in 2019). Comparing the characteristics of the two traces illustrates how the workload has changed over this two-year span.
If you do use either of these VM traces in your research, please make sure to cite our SOSP’17 paper "Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms", which includes a full analysis of the Azure VM workload in 2017.
AzureFunctionsDataset2019 - These traces contain, for a subset of applications running on Azure Functions in July of 2019:
If you do use the Azure Functions traces in your research, please make sure to cite our ATC'20 paper "Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider", which includes a full analysis of the Azure Functions workload in July 2019.
Please let us know of any issues or questions by sending email to our mailing list.
These traces derive from a collaboration between Azure and Microsoft Research.