Optimizing routing
The OKD Ingress Controller, or router, is the ingress point for ingress traffic for applications and services that are configured using routes and ingresses.
When evaluating a single HAProxy router performance in terms of HTTP requests handled per second, the performance varies depending on many factors. In particular:
Route type
TLS session resumption client support
Number of concurrent connections per target route
Back end server page size
Underlying infrastructure (network/SDN solution, CPU, and so on)
While performance in your specific environment will vary, Red Hat lab tests on a public cloud instance of size 4 vCPU/16GB RAM. A single HAProxy router handling 100 routes terminated by backends serving 1kB static pages is able to handle the following number of transactions per second.
In HTTP keep-alive mode scenarios:
In HTTP close (no keep-alive) scenarios:
Encryption | LoadBalancerService | HostNetwork |
---|---|---|
none | 5719 | 8273 |
edge | 2729 | 4069 |
passthrough | 4121 | 5344 |
re-encrypt | 2320 | 2941 |
The default Ingress Controller configuration was used with the field set to 4
. Two different endpoint publishing strategies were tested: Load Balancer Service and Host Network. TLS session resumption was used for encrypted routes. With HTTP keep-alive, a single HAProxy router is capable of saturating a 1 Gbit NIC at page sizes as small as 8 kB.
When running on bare metal with modern processors, you can expect roughly twice the performance of the public cloud instance above. This overhead is introduced by the virtualization layer in place on public clouds and holds mostly true for private cloud-based virtualization as well. The following table is a guide to how many applications to use behind the router:
In general, HAProxy can support routes for up to 1000 applications, depending on the technology in use. Ingress Controller performance might be limited by the capabilities and performance of the applications behind it, such as language or static versus dynamic content.
Ingress, or router, sharding should be used to serve more routes towards applications and help horizontally scale the routing tier.
For more information on Ingress sharding, see and Configuring Ingress Controller sharding by using namespace labels.
You can modify the Ingress Controller deployment using the information provided in for threads and Ingress Controller configuration parameters for timeouts, and other tuning configurations in the Ingress Controller specification.
Cluster administrators can configure the timeout values for the kubelet’s liveness, readiness, and startup probes for router deployments that are managed by the OKD Ingress Controller (router). The liveness and readiness probes of the router use the default timeout value of 1 second, which is too brief when networking or runtime performance is severely degraded. Probe timeouts can cause unwanted router restarts that interrupt application connections. The ability to set larger timeout values can reduce the risk of unnecessary and unwanted restarts.
You can update the timeoutSeconds
value on the livenessProbe
, , and startupProbe
parameters of the router container.
Parameter | Description |
---|---|
| The |
The | |
| The |
The following example demonstrates how you can directly patch the default router deployment to set a 5-second timeout for the liveness and readiness probes:
Verification
When you update a route or an endpoint associated with a route, OKD router updates the configuration for HAProxy. Then, HAProxy reloads the updated configuration for those changes to take effect. When HAProxy reloads, it generates a new process that handles new connections using the updated configuration.
HAProxy keeps the old process running to handle existing connections until those connections are all closed. When old processes have long-lived connections, these processes can accumulate and consume resources.
The default minimum HAProxy reload interval is five seconds. You can configure an Ingress Controller using its field to set a longer minimum reload interval.
Setting a large value for the minimum HAProxy reload interval can cause latency in observing updates to routes and their endpoints. To lessen the risk, avoid setting a value larger than the tolerable latency for updates. |
Procedure