Azure/AzurePublicDataset resource

Health v2 · maintenance only

Adoption not part of the score

1184 stars · 186 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A repository of public Microsoft Azure workload traces released for the research community, including VM workloads, Azure Functions invocations and blob accesses, LLM inference traces, and VM benchmark noise data. Trace files are hosted as GitHub release assets with documentation pages per dataset.

Use cases

• study cloud VM workload patterns from Azure production traces
• research serverless function invocation behavior
• model LLM inference request workloads with token counts
• evaluate VM packing and allocation algorithms
• analyze performance variability of Azure VM SKUs
• benchmark cloud resource management research

When to choose

• you need real-world cloud workload data for academic research
• you are studying serverless, VM scheduling, or LLM inference capacity planning
• you want reproducible traces tied to published systems papers

When to avoid

• you need live or streaming cloud telemetry
• you need a tool or library rather than raw trace data
• your research requires non-Azure or non-cloud workloads

Facets

dataset · maturity active

data-science benchmarking analytics cloud-computing data-science large-language-models microservices cross-platform python azure-traces cloud-workloads vm-traces serverless llm-inference-traces research-dataset jupyter-notebook research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Azure/AzurePublicDataset")