Managing Apollo Router resources in Kubernetes

Recommendations and considerations for application pods

router kubernetes

Self-hosting the Apollo Router is limited to

GraphOS Enterprise plans

. Other plan types use

managed cloud routing with GraphOS

. Check out the

pricing page

to learn more.

Determining the correct resource requests and limits for your application pods in a Kubernetes system is not an exact science. Your specific needs depend on many factors, including:

The cardinality of unique operation shapes
The latency of underlying subgraphs and data sources
The size of responses
The complexity of query plans

Our general recommendation for Kubernetes is to start with these requests and limits:

1
resources:
2
  requests:
3
    memory: '1G'
4
    cpu: '1000m'
5
  limits:
6
    memory: '2G'
7
    # no CPU limit to avoid throttling

💡 TIP

The

router resource estimator

is a helpful tool for getting a starting baseline for what resources you may need in production based on your expected traffic.

When using

Horizontal pod autoscaling

, we recommend targeting 90% utilization:

1
metrics:
2
  - type: Resource
3
    resource:
4
      name: cpu
5
      target:
6
        type: Utilization
7
        averageUtilization: 90
8
  - type: Resource
9
    resource:
10
      name: memory
11
      target:
12
        type: Utilization
13
        averageUtilization: 90

The Apollo Router starts up quickly, but when using

Managed Federation

, the router has to fetch the supergraph schema from Apollo Uplink before it can start serving traffic. We recommend measuring your router's startup time and lowering the averageUtilization if your startup time is longer due to Uplink latency or the size of your supergraph schema.

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