AZURE FUNCTIONS FLEX CONSUMPTION - MEMORY METRIC EVIDENCE
October 30, 2026 | Python 3.11 | Configured instance size: 512 MB

Purpose: evidence for an Azure community discussion about worker replacements
and unusual final MemoryWorkingSet readings. No OOM kill is established.

WHAT THIS FILE CONTAINS
- All series with at least one positive value in each requested window.
- Every original timestamp, numeric reading and Instance dimension for those
  retained series, including their zero-valued buckets.
- All-zero series are omitted to meet the forum attachment-size limit.
- Subscription/resource paths are omitted for public sharing.
- No customer/order records, credentials or application settings are included.
- Values are bytes. Divide by 1,048,576 for MiB. All raw timestamps are UTC;
  Arizona time is UTC minus seven hours.
- These are one-minute averages, not instantaneous peaks or verified cgroup
  measurements. Zero-valued buckets are not exact termination timestamps.

CONTEXT FROM THE EXISTING APPLICATION INSIGHTS INVESTIGATION
10:35 AM Arizona / 17:35 UTC: an invocation has progress but no completion/result
in the reviewed exports. Its matched instance reaches 688.265625 MiB at 17:37.
Instance: 0--60b26fee-dd8b-4377-8a0a-0a344ecc8d3d

11:10 AM Arizona / 18:10 UTC: an invocation has a start but no completion/result
in the reviewed exports. Its matched instance reaches 659.880859375 MiB at 18:11.
Instance: 0--c5fa9d6f-5e2a-4f78-854c-2c438296d6ec

12:39 PM Arizona / 19:39 UTC: an instance stops its timer listener at 19:39:02.817
following a successful 19:35 invocation. Its metric is 709.0234375 MiB at 19:31,
647.2734375 at 19:39, then 1299.8359375 at 19:40, followed by zero-valued buckets.
Instance: 0--9a80c37e-60fc-49c5-b7ca-44d07b6ade37

Five HTTP instances with successful requests also have near-doubling of their
final positive metric. This raises a collection/aggregation question; it is not
proof of a metric defect, a physical memory spike, or an OOM termination. Outcome
notes above come from separate Application Insights exports, not from the
metric response itself.

QUESTIONS
1. What does MemoryWorkingSet include on Flex Consumption, and how does it map
   to enforced memory limits and the documented platform/host buffer?
2. Why do several final samples approximately double around instance retirement?
3. Which customer-visible signal distinguishes memory termination from routine
   replacement when no termination reason appears in application telemetry?

CONDENSED RAW METRIC RESPONSES
{
  "description": "Public condensed extract of Azure Monitor MemoryWorkingSet responses",
  "metric": "MemoryWorkingSet",
  "unit": "Bytes",
  "aggregation": "Average",
  "interval": "PT1M",
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      "errorCode": "Success",
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      "omittedAllZeroSeriesCount": 913,
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