Planner Examples

Planner-specific examples for advanced configuration and non-Kubernetes integrations. For DGDR manifests, see DGDR Examples. For the full configuration reference, see the Planner Guide.

Custom Load Predictors

Warm-starting with Trace Data

Pre-load predictors with historical request patterns before live traffic:

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# In planner arguments
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args:
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  - --load-predictor arima
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  - --load-predictor-warmup-trace /data/trace.jsonl
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  - --load-predictor-log1p

The trace file should be in mooncake-style JSONL format with request-count, ISL, and OSL samples.

Kalman Filter Tuning

For workloads with rapid changes, tune the Kalman filter:

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args:
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  - --load-predictor kalman
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  - --kalman-q-level 2.0      # Higher = more responsive to level changes
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  - --kalman-q-trend 0.5      # Higher = trend changes faster
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  - --kalman-r 5.0            # Lower = trusts new measurements more
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  - --kalman-min-points 3     # Fewer points before forecasting starts
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  - --load-predictor-log1p    # Often helps with request-rate series

Prophet for Seasonal Workloads

For workloads with daily/weekly patterns:

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args:
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  - --load-predictor prophet
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  - --prophet-window-size 100   # Larger window for seasonal detection
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  - --load-predictor-log1p

Virtual Connector

For non-Kubernetes environments, use the VirtualConnector to communicate scaling decisions:

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from dynamo._core import DistributedRuntime, VirtualConnectorClient
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# Initialize client
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client = VirtualConnectorClient(distributed_runtime, namespace)
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# Main loop: watch for planner decisions and execute them
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while True:
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    # Block until the planner makes a new scaling decision
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    await client.wait()
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    # Read the decision
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    decision = await client.get()
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    print(f"Scale to: prefill={decision.num_prefill_workers}, "
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          f"decode={decision.num_decode_workers}, "
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          f"id={decision.decision_id}")
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    # Execute scaling in your environment
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    scale_prefill_workers(decision.num_prefill_workers)
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    scale_decode_workers(decision.num_decode_workers)
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    # Report completion
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    await client.complete(decision)

See components/planner/test/test_virtual_connector.py for a full working example.

Related Documentation

• Planner Guide — Planner configuration reference
• DGDR Examples — DGDR YAML examples
• Profiler Guide — Profiling workflow