Add autoscaling and set higher cpu for raster-eoapi service

[dakotabenjamin]

What type of PR is this? (check all applicable)

• 🍕 Feature
• 🐛 Bug Fix
• 📝 Documentation
• 🧑‍💻 Refactor
• ✅ Test
• 🤖 Build or CI
• ❓ Other (please specify)

Describe this PR

The raster renderer has been crashing with a single user (me) attempting to use calls such as

[https://api.imagery.hotosm.org/raster/searches/867568a0734dd1f665da93a5a5e2a5ec/tiles/WebMercatorQuad/{z}/{x}/{y}@1x.png?assets=visual](https://api.imagery.hotosm.org/raster/searches/867568a0734dd1f665da93a5a5e2a5ec/tiles/WebMercatorQuad/%7Bz%7D/%7Bx%7D/%7By%7D@1x.png?assets=visual)

Default cpu/mem config for the pods:

     Limits:
      cpu:     768m
      memory:  4Gi
    Requests:
      cpu:      256m
      memory:   3Gi

0.25 of a vCPU is probably way too small, new config (below) should fix most of the problems.

      requests:
        cpu: "1024m"
        memory: "3Gi"
      limits:
        cpu: "2048m"
        memory: "4Gi"

Additionally, we enable autoscaling for the raster-eoapi pod. Current scaling target is 85% CPU usage- This needs discussion, and potentially load-testing.

Screenshots

grafana dashboard showing some of the metrics leading to these changes:

[github-actions]

tofu apply -chdir=terraform tfplan

Apply complete! Resources: 0 added, 0 changed, 0 destroyed.

By @spwoodcock at 2026-03-21T04:29:45Z (view log).

Apply complete! Resources: 0 added, 0 changed, 0 destroyed.

Outputs:

cluster_name = "hotosm-production-cluster"
karpenter_controller_role_arn = "arn:aws:iam::670261699094:role/hotosm-production-karpenter-controller"
karpenter_interruption_queue_name = "hotosm-production-cluster"
karpenter_node_instance_profile_name = "KarpenterNodeRole-hotosm-production-cluster"
s3_backup_role = "arn:aws:iam::670261699094:role/hotosm-production-bucket-access"