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· 2 min read
Joachim Kraftmayer

motivation​

we have tested ceph s3 in openstack swift intensively before. We were interested in the behavior of the radosgw stack in ceph. We paid particular attention to the size and number of objects in relation to the resource consumption of the radosgw process. Effects on response latencies of radosgw were also important to us. To be able to plan the right sizing of the physical and virtual environments.

technical topics​​

From a technical point of view, we were interested in the behavior of radosgw in the following topics.

  • dynamic bucket sharding
  • http frontend difference between Civetweb and Beast
  • index pool io pattern and latencies
  • data pool io pattern and latencies with erasure-coded and replicated pools
  • fast_read vs. standard read for workloads with large and small objects.

requirements​

when choosing the right tool, it was important for us to be able to test both small and large ceph clusters with several thousand osds.

We want to use the test results as a file for evaluation as well as have a graphical representation as timeseries data.

For timeseries data we rely on the standard stack with Grafana, Prometheus and Thanos.

the main prometheus exporters we use are ceph-mgr-exporter and node-exporter.

load and performance tools​​

CBT - The Ceph Benchmarking Tool​

CBT is a testing harness written in python

https://github.com/ceph/cbt

s3 - tests​

This is a set of unofficial Amazon AWS S3 compatibility tests

https://github.com/ceph/s3-tests

COSBench - Cloud Object Storage Benchmark​

COSBench is a benchmarking tool to measure the performance of Cloud Object Storage services.

https://github.com/intel-cloud/cosbench

Gosbench​

Gosbench is the Golang reimplementation of Cosbench. It is a distributed S3 performance benchmark tool with Prometheus exporter leveraging the official Golang AWS SDK

https://github.com/mulbc/gosbench

hsbench​

hsbench is an S3 compatable benchmark originally based on wasabi-tech/s3-benchmark.

https://github.com/markhpc/hsbench

Warp​

Minio - S3 benchmarking tool.

https://github.com/minio/warp

the tool of our choice​​

getput​

getput can be run individually on a test client.

gpsuite is responsible for synchronization and scaling across any number of test clients. Communication takes place via ssh keys and the simultaneous start of all s3 test clients is synchronized over a common time base.

Installation on linux as script or as container is supported.

https://github.com/markseger/getput