mirror of
https://github.com/puppetmaster/typhoon.git
synced 2024-12-27 08:49:33 +01:00
45 lines
2.3 KiB
Markdown
45 lines
2.3 KiB
Markdown
# Performance
|
|
|
|
## Provision Time
|
|
|
|
Provisioning times vary based on the operating system and platform. Sampling the time to create (apply) and destroy clusters with 1 controller and 2 workers shows (roughly) what to expect.
|
|
|
|
| Platform | Apply | Destroy |
|
|
|---------------|-------|---------|
|
|
| AWS | 5 min | 3 min |
|
|
| Azure | 10 min | 7 min |
|
|
| Bare-Metal | 10-15 min | NA |
|
|
| Digital Ocean | 3 min 30 sec | 20 sec |
|
|
| Google Cloud | 8 min | 5 min |
|
|
|
|
Notes:
|
|
|
|
* SOA TTL and NXDOMAIN caching can have a large impact on provision time
|
|
* Platforms with auto-scaling take more time to provision (AWS, Azure, Google)
|
|
* Bare-metal POST times and network bandwidth will affect provision times
|
|
|
|
## Network Performance
|
|
|
|
Network performance varies based on the platform and CNI plugin. `iperf` was used to measure the bandwidth between different hosts and different pods. Host-to-host shows typical bandwidth between host machines. Pod-to-pod shows the bandwidth between two `iperf` containers.
|
|
|
|
| Platform / Plugin | Theory | Host to Host | Pod to Pod |
|
|
|----------------------------|-------:|-------------:|-------------:|
|
|
| AWS (flannel) | 5 Gb/s | 4.94 Gb/s | 4.89 Gb/s |
|
|
| AWS (calico, MTU 1480) | 5 Gb/s | 4.94 Gb/s | 4.42 Gb/s |
|
|
| AWS (calico, MTU 8981) | 5 Gb/s | 4.94 Gb/s | 4.90 Gb/s |
|
|
| Azure (flannel) | Varies | 749 Mb/s | 650 Mb/s |
|
|
| Azure (calico) | Varies | 749 Mb/s | 650 Mb/s |
|
|
| Bare-Metal (flannel) | 1 Gb/s | 940 Mb/s | 903 Mb/s |
|
|
| Bare-Metal (calico) | 1 Gb/s | 940 Mb/s | 931 Mb/s |
|
|
| Digital Ocean (flannel) | Varies | 1.97 Gb/s | 1.20 Gb/s |
|
|
| Digital Ocean (calico) | Varies | 1.97 Gb/s | 1.20 Gb/s |
|
|
| Google Cloud (flannel) | 2 Gb/s | 1.94 Gb/s | 1.76 Gb/s |
|
|
| Google Cloud (calico) | 2 Gb/s | 1.94 Gb/s | 1.81 Gb/s |
|
|
|
|
Notes:
|
|
|
|
* Calico, Cilium, and Flannel have comparable performance. Platform and configuration differences dominate.
|
|
* Azure and DigitalOcean network performance can be quite variable or depend on machine type
|
|
* Only [certain AWS EC2 instance types](http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/network_mtu.html#jumbo_frame_instances) allow jumbo frames. This is why the default MTU on AWS must be 1480.
|
|
|