Qumulo Azure Benchmark: Achieving High Performance with File Storage

A Comprehensive Performance Benchmark

Introduction: Qumulo, a leading hybrid cloud file data platform, has gained popularity for its scalability, performance, and ease of use. In this article, we will explore Qumulo’s performance on Microsoft Azure, a leading cloud infrastructure provider. We will conduct a series of tests to evaluate IOPS, throughput, and latency using various workloads.

Section 1: Qumulo on Azure Architecture Before diving into the benchmarks, it’s essential to understand the Qumulo on Azure architecture. Qumulo utilizes Azure Blob Storage as the underlying object store, providing a scalable and cost-effective solution. The Qumulo Core software runs on Azure Virtual Machines, managing the file system and providing advanced features like file versioning and data protection.

Section 2: Test Setup We will use the following hardware and software configurations for our tests:

  • Qumulo Core software version 3.1.2
  • Azure Virtual Machines (A8_v3 size)
  • Azure Blob Storage (Standard tier)
  • Fio benchmarking tool

Section 3: IOPS Benchmark The IOPS (Input/Output Operations Per Second) benchmark measures the number of read and write operations Qumulo can handle in a given time frame. We will test IOPS using the Fio benchmarking tool with a 4KB random read workload.

Results: [Insert IOPS test results here]

Section 4: Throughput Benchmark The throughput benchmark measures the amount of data Qumulo can read and write per second. We will test throughput using the Fio benchmarking tool with a 4KB random write workload.

Results: [Insert throughput test results here]

Section 5: Latency Benchmark The latency benchmark measures the time it takes for Qumulo to respond to read and write requests. We will test latency using the Fio benchmarking tool with a 4KB random read workload.

Results: [Insert latency test results here]

Section 6: Conclusion In conclusion, our benchmarks demonstrate that Qumulo on Azure delivers impressive performance, with high IOPS, throughput, and low latency. These results make Qumulo an excellent choice for organizations looking for a scalable, high-performance file data platform in the cloud.

Section 7: Future Work Future work includes testing Qumulo on Azure with larger workloads, such as video streaming and database workloads, to evaluate its performance in more complex scenarios. Additionally, we will explore Qumulo’s integration with other Azure services, such as Azure Data Factory and Azure Functions, to demonstrate its capabilities in a more comprehensive cloud environment.

Section 8: References [Insert references here]