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jotak merged 2 commits into from
Feb 11, 2026
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Update recommendations: #2443

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Update recommendations:
jotak Feb 10, 2026
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jotak Feb 11, 2026
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29 changes: 15 additions & 14 deletions bundle/manifests/netobserv-operator.clusterserviceversion.yaml
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Expand Up @@ -603,23 +603,24 @@ spec:
## Resource considerations

The following table outlines examples of resource considerations for clusters with certain workload sizes.
The examples outlined in the table demonstrate scenarios that are tailored to specific workloads. Consider each example only as a baseline from which adjustments can be made to accommodate your workload needs.
The examples outlined in the table demonstrate scenarios that are tailored to specific workloads. Consider each example only as a baseline from which adjustments can be made to accommodate your workload needs. The test beds are:

- Extra small: 10 nodes cluster, 4 vCPUs and 16GiB mem per worker, LokiStack size `1x.extra-small`, tested on AWS M6i instances.
- Small: 25 nodes cluster, 16 vCPUs and 64GiB mem per worker, LokiStack size `1x.small`, tested on AWS M6i instances.
- Large: 250 nodes cluster, 16 vCPUs and 64GiB mem per worker, LokiStack size `1x.medium`, tested on AWS M6i instances. In addition to this worker and its controller, 3 infra nodes (size `M6i.12xlarge`) and 1 workload node (size `M6i.8xlarge`) were tested.

| Resource recommendations | Extra small (10 nodes) | Small (25 nodes) | Medium (65 nodes) ** | Large (120 nodes) ** |
| ----------------------------------------------- | ---------------------- | ---------------------- | ----------------------- | ----------------------------- |
| *Worker Node vCPU and memory* | 4 vCPUs\| 16GiB mem * | 16 vCPUs\| 64GiB mem * | 16 vCPUs\| 64GiB mem * |16 vCPUs\| 64GiB Mem * |
| *LokiStack size* | `1x.extra-small` | `1x.small` | `1x.small` | `1x.medium` |
| *Network Observability controller memory limit* | 400Mi (default) | 400Mi (default) | 400Mi (default) | 800Mi |
| *eBPF sampling interval* | 50 (default) | 50 (default) | 50 (default) | 50 (default) |
| *eBPF memory limit* | 800Mi (default) | 800Mi (default) | 2000Mi | 800Mi (default) |
| *FLP memory limit* | 800Mi (default) | 800Mi (default) | 800Mi (default) | 800Mi (default) |
| *FLP Kafka partitions* | N/A | 48 | 48 | 48 |
| *Kafka consumer replicas* | N/A | 24 | 24 | 24 |
| *Kafka brokers* | N/A | 3 (default) | 3 (default) | 3 (default) |

*. Tested with AWS M6i instances.
**. In addition to this worker and its controller, 3 infra nodes (size `M6i.12xlarge`) and 1 workload node (size `M6i.8xlarge`) were tested.
| Resource recommendations | Extra small (10 nodes) | Small (25 nodes) | Large (250 nodes) |
| --------------------------------------------------------------------------------- | ---------------------- | ------------------- | -------------------- |
| Operator memory limit<br>*In `Subscription` `spec.config.resources`* | 400Mi (default) | 400Mi (default) | 400Mi (default) |
| eBPF agent sampling interval<br>*In `FlowCollector` `spec.agent.ebpf.sampling`* | 50 (default) | 50 (default) | 50 (default) |
| eBPF agent memory limit<br>*In `FlowCollector` `spec.agent.ebpf.resources`* | 800Mi (default) | 800Mi (default) | 1600Mi |
| eBPF agent cache size<br>*In `FlowCollector` `spec.agent.ebpf.cacheMaxSize`* | 50,000 | 120,000 (default) | 120,000 (default) |
| Processor memory limit<br>*In `FlowCollector` `spec.processor.resources`* | 800Mi (default) | 800Mi (default) | 800Mi (default) |
| Processor replicas<br>*In `FlowCollector` `spec.processor.consumerReplicas`* | 3 (default) | 6 | 18 |
| Deployment model<br>*In `FlowCollector` `spec.deploymentModel`* | Service (default) | Kafka | Kafka |
| Kafka partitions<br>*In your Kafka installation* | N/A | 48 | 48 |
| Kafka brokers<br>*In your Kafka installation* | N/A | 3 (default) | 3 (default) |

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@memodi memodi Feb 10, 2026

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we're dropping LokiStack size recommendation? IMO we should keep it 1x.extra-small (10 nodes), 1x.small (25 nodes) and 1x.medium (250 nodes)

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@jotak jotak Feb 10, 2026 •
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I moved that out of the recommendations, to the test beds. It's still visible above. idk, I think we have a different place where we document the recommended loki stack size with different criteria, I don't want to mix up things here, wdyt?

See also: https://docs.redhat.com/en/documentation/openshift_container_platform/4.21/html/network_observability/installing-network-observability-operators#loki-deployment-sizing_network_observability

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@memodi memodi Feb 11, 2026

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I see, okay, that sounds good to me then.

## Further reading

Expand Down
35 changes: 18 additions & 17 deletions config/descriptions/ocp.md
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Expand Up @@ -67,23 +67,24 @@ A couple of settings deserve special attention:
## Resource considerations

The following table outlines examples of resource considerations for clusters with certain workload sizes.
The examples outlined in the table demonstrate scenarios that are tailored to specific workloads. Consider each example only as a baseline from which adjustments can be made to accommodate your workload needs.


| Resource recommendations | Extra small (10 nodes) | Small (25 nodes) | Medium (65 nodes) ** | Large (120 nodes) ** |
| ----------------------------------------------- | ---------------------- | ---------------------- | ----------------------- | ----------------------------- |
| *Worker Node vCPU and memory* | 4 vCPUs\| 16GiB mem * | 16 vCPUs\| 64GiB mem * | 16 vCPUs\| 64GiB mem * |16 vCPUs\| 64GiB Mem * |
| *LokiStack size* | `1x.extra-small` | `1x.small` | `1x.small` | `1x.medium` |
| *Network Observability controller memory limit* | 400Mi (default) | 400Mi (default) | 400Mi (default) | 800Mi |
| *eBPF sampling interval* | 50 (default) | 50 (default) | 50 (default) | 50 (default) |
| *eBPF memory limit* | 800Mi (default) | 800Mi (default) | 2000Mi | 800Mi (default) |
| *FLP memory limit* | 800Mi (default) | 800Mi (default) | 800Mi (default) | 800Mi (default) |
| *FLP Kafka partitions* | N/A | 48 | 48 | 48 |
| *Kafka consumer replicas* | N/A | 24 | 24 | 24 |
| *Kafka brokers* | N/A | 3 (default) | 3 (default) | 3 (default) |

*. Tested with AWS M6i instances.
**. In addition to this worker and its controller, 3 infra nodes (size `M6i.12xlarge`) and 1 workload node (size `M6i.8xlarge`) were tested.
The examples outlined in the table demonstrate scenarios that are tailored to specific workloads. Consider each example only as a baseline from which adjustments can be made to accommodate your workload needs. The test beds are:

- Extra small: 10 nodes cluster, 4 vCPUs and 16GiB mem per worker, LokiStack size `1x.extra-small`, tested on AWS M6i instances.
- Small: 25 nodes cluster, 16 vCPUs and 64GiB mem per worker, LokiStack size `1x.small`, tested on AWS M6i instances.
- Large: 250 nodes cluster, 16 vCPUs and 64GiB mem per worker, LokiStack size `1x.medium`, tested on AWS M6i instances. In addition to this worker and its controller, 3 infra nodes (size `M6i.12xlarge`) and 1 workload node (size `M6i.8xlarge`) were tested.


| Resource recommendations | Extra small (10 nodes) | Small (25 nodes) | Large (250 nodes) |
| --------------------------------------------------------------------------------- | ---------------------- | ------------------- | -------------------- |
| Operator memory limit<br>*In `Subscription` `spec.config.resources`* | 400Mi (default) | 400Mi (default) | 400Mi (default) |
| eBPF agent sampling interval<br>*In `FlowCollector` `spec.agent.ebpf.sampling`* | 50 (default) | 50 (default) | 50 (default) |
| eBPF agent memory limit<br>*In `FlowCollector` `spec.agent.ebpf.resources`* | 800Mi (default) | 800Mi (default) | 1600Mi |
| eBPF agent cache size<br>*In `FlowCollector` `spec.agent.ebpf.cacheMaxSize`* | 50,000 | 120,000 (default) | 120,000 (default) |
| Processor memory limit<br>*In `FlowCollector` `spec.processor.resources`* | 800Mi (default) | 800Mi (default) | 800Mi (default) |
| Processor replicas<br>*In `FlowCollector` `spec.processor.consumerReplicas`* | 3 (default) | 6 | 18 |
| Deployment model<br>*In `FlowCollector` `spec.deploymentModel`* | Service (default) | Kafka | Kafka |
| Kafka partitions<br>*In your Kafka installation* | N/A | 48 | 48 |
| Kafka brokers<br>*In your Kafka installation* | N/A | 3 (default) | 3 (default) |

## Further reading

Expand Down
35 changes: 18 additions & 17 deletions config/descriptions/upstream.md
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Original file line number Diff line number Diff line change
Expand Up @@ -71,23 +71,24 @@ A couple of settings deserve special attention:
## Resource considerations

The following table outlines examples of resource considerations for clusters with certain workload sizes.
The examples outlined in the table demonstrate scenarios that are tailored to specific workloads. Consider each example only as a baseline from which adjustments can be made to accommodate your workload needs.


| Resource recommendations | Extra small (10 nodes) | Small (25 nodes) | Medium (65 nodes) ** | Large (120 nodes) ** |
| ----------------------------------------------- | ---------------------- | ---------------------- | ----------------------- | ----------------------------- |
| *Worker Node vCPU and memory* | 4 vCPUs\| 16GiB mem * | 16 vCPUs\| 64GiB mem * | 16 vCPUs\| 64GiB mem * |16 vCPUs\| 64GiB Mem * |
| *LokiStack size* | `1x.extra-small` | `1x.small` | `1x.small` | `1x.medium` |
| *Network Observability controller memory limit* | 400Mi (default) | 400Mi (default) | 400Mi (default) | 800Mi |
| *eBPF sampling interval* | 50 (default) | 50 (default) | 50 (default) | 50 (default) |
| *eBPF memory limit* | 800Mi (default) | 800Mi (default) | 2000Mi | 800Mi (default) |
| *FLP memory limit* | 800Mi (default) | 800Mi (default) | 800Mi (default) | 800Mi (default) |
| *FLP Kafka partitions* | N/A | 48 | 48 | 48 |
| *Kafka consumer replicas* | N/A | 24 | 24 | 24 |
| *Kafka brokers* | N/A | 3 (default) | 3 (default) | 3 (default) |

*. Tested with AWS M6i instances.
**. In addition to this worker and its controller, 3 infra nodes (size `M6i.12xlarge`) and 1 workload node (size `M6i.8xlarge`) were tested.
The examples outlined in the table demonstrate scenarios that are tailored to specific workloads. Consider each example only as a baseline from which adjustments can be made to accommodate your workload needs. The test beds are:

- Extra small: 10 nodes cluster, 4 vCPUs and 16GiB mem per worker, LokiStack size `1x.extra-small`, tested on AWS M6i instances.
- Small: 25 nodes cluster, 16 vCPUs and 64GiB mem per worker, LokiStack size `1x.small`, tested on AWS M6i instances.
- Large: 250 nodes cluster, 16 vCPUs and 64GiB mem per worker, LokiStack size `1x.medium`, tested on AWS M6i instances. In addition to this worker and its controller, 3 infra nodes (size `M6i.12xlarge`) and 1 workload node (size `M6i.8xlarge`) were tested.


| Resource recommendations | Extra small (10 nodes) | Small (25 nodes) | Large (250 nodes) |
| --------------------------------------------------------------------------------- | ---------------------- | ------------------- | -------------------- |
| Operator memory limit<br>*In `Subscription` `spec.config.resources`* | 400Mi (default) | 400Mi (default) | 400Mi (default) |
| eBPF agent sampling interval<br>*In `FlowCollector` `spec.agent.ebpf.sampling`* | 50 (default) | 50 (default) | 50 (default) |
| eBPF agent memory limit<br>*In `FlowCollector` `spec.agent.ebpf.resources`* | 800Mi (default) | 800Mi (default) | 1600Mi |
| eBPF agent cache size<br>*In `FlowCollector` `spec.agent.ebpf.cacheMaxSize`* | 50,000 | 120,000 (default) | 120,000 (default) |
| Processor memory limit<br>*In `FlowCollector` `spec.processor.resources`* | 800Mi (default) | 800Mi (default) | 800Mi (default) |
| Processor replicas<br>*In `FlowCollector` `spec.processor.consumerReplicas`* | 3 (default) | 6 | 18 |
| Deployment model<br>*In `FlowCollector` `spec.deploymentModel`* | Service (default) | Kafka | Kafka |
| Kafka partitions<br>*In your Kafka installation* | N/A | 48 | 48 |
| Kafka brokers<br>*In your Kafka installation* | N/A | 3 (default) | 3 (default) |

## Further reading

Expand Down