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        "title": "Keep disconnected Azure Monitor pipeline replicas while their local buffers need backfill",
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        "potentially_affected": "Azure Monitor pipeline deployments using the documented Preview extension release train and persistent storage on Arc-enabled Kubernetes.",
        "dse_recommendation": "Make disconnected replica reduction an explicit exception requiring a buffered-data review, not an ordinary capacity adjustment.",
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        "content_html": "<h2>Source facts</h2>\n<p>The documented Azure Monitor pipeline extension deployment uses the Preview release train. Its persistent volume must share the pipeline instance&#8217;s namespace and support ReadWriteMany. Buffered data is read in FIFO order; records beyond the configured retention limit are discarded. Each replica has its own storage location within the volume. Microsoft warns that reducing replicas while disconnected from the cloud prevents those replicas&#8217; data from being backfilled after reconnection. <a href=\"https://learn.microsoft.com/en-us/azure/azure-monitor/data-collection/pipeline-configure-cli\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Learn</a>.</p>\n<h2>Applicability</h2>\n<p>Use this review for persistent-storage pipeline deployments on Arc-enabled Kubernetes during a cloud connectivity interruption. The question is whether pending replica-local data remains available for recovery, not whether the total requested replica count appears reasonable.</p>\n<h2>DSE recommendation</h2>\n<p>Make disconnected replica reduction an explicit exception requiring a buffered-data review, not an ordinary capacity adjustment. Ask the platform owner to preserve the affected replica set until the proposed recovery plan accounts for its pending records. Record the configured retention period and identify who decides whether an interruption has made data irrecoverable. Do not describe persistent storage alone as guaranteed delivery.</p>\n<h2>Verification</h2>\n<p>In an approved test, capture replica identities and identifiable sample records before an interruption. Reconnect without reducing that set and examine which records arrive, in addition to checking service health. Review any missing samples against retention and replica-change evidence. Keep the test deliberately bounded; do not remove production replicas merely to demonstrate the documented loss condition. Use the results to refine the interruption runbook before applying capacity changes.</p>\n<h2>Official references</h2>\n<p><a href=\"https://learn.microsoft.com/en-us/azure/azure-monitor/data-collection/pipeline-configure-cli\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Learn: Configure Azure Monitor pipeline</a>. Source reviewed September 9, 2026.</p>",
        "content_text": "Source facts\nThe documented Azure Monitor pipeline extension deployment uses the Preview release train. Its persistent volume must share the pipeline instance’s namespace and support ReadWriteMany. Buffered data is read in FIFO order; records beyond the configured retention limit are discarded. Each replica has its own storage location within the volume. Microsoft warns that reducing replicas while disconnected from the cloud prevents those replicas’ data from being backfilled after reconnection. Microsoft Learn.\nApplicability\nUse this review for persistent-storage pipeline deployments on Arc-enabled Kubernetes during a cloud connectivity interruption. The question is whether pending replica-local data remains available for recovery, not whether the total requested replica count appears reasonable.\nDSE recommendation\nMake disconnected replica reduction an explicit exception requiring a buffered-data review, not an ordinary capacity adjustment. Ask the platform owner to preserve the affected replica set until the proposed recovery plan accounts for its pending records. Record the configured retention period and identify who decides whether an interruption has made data irrecoverable. Do not describe persistent storage alone as guaranteed delivery.\nVerification\nIn an approved test, capture replica identities and identifiable sample records before an interruption. Reconnect without reducing that set and examine which records arrive, in addition to checking service health. Review any missing samples against retention and replica-change evidence. Keep the test deliberately bounded; do not remove production replicas merely to demonstrate the documented loss condition. Use the results to refine the interruption runbook before applying capacity changes.\nOfficial references\nMicrosoft Learn: Configure Azure Monitor pipeline. Source reviewed September 9, 2026.",
        "content_markdown": "## Source facts\n\nThe documented Azure Monitor pipeline extension deployment uses the Preview release train. Its persistent volume must share the pipeline instance’s namespace and support ReadWriteMany. Buffered data is read in FIFO order; records beyond the configured retention limit are discarded. Each replica has its own storage location within the volume. Microsoft warns that reducing replicas while disconnected from the cloud prevents those replicas’ data from being backfilled after reconnection. [Microsoft Learn](https://learn.microsoft.com/en-us/azure/azure-monitor/data-collection/pipeline-configure-cli).\n\n## Applicability\n\nUse this review for persistent-storage pipeline deployments on Arc-enabled Kubernetes during a cloud connectivity interruption. The question is whether pending replica-local data remains available for recovery, not whether the total requested replica count appears reasonable.\n\n## DSE recommendation\n\nMake disconnected replica reduction an explicit exception requiring a buffered-data review, not an ordinary capacity adjustment. Ask the platform owner to preserve the affected replica set until the proposed recovery plan accounts for its pending records. Record the configured retention period and identify who decides whether an interruption has made data irrecoverable. Do not describe persistent storage alone as guaranteed delivery.\n\n## Verification\n\nIn an approved test, capture replica identities and identifiable sample records before an interruption. Reconnect without reducing that set and examine which records arrive, in addition to checking service health. Review any missing samples against retention and replica-change evidence. Keep the test deliberately bounded; do not remove production replicas merely to demonstrate the documented loss condition. Use the results to refine the interruption runbook before applying capacity changes.\n\n## Official references\n\n[Microsoft Learn: Configure Azure Monitor pipeline](https://learn.microsoft.com/en-us/azure/azure-monitor/data-collection/pipeline-configure-cli). Source reviewed September 9, 2026."
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                "articleBody": "Source facts\nThe documented Azure Monitor pipeline extension deployment uses the Preview release train. Its persistent volume must share the pipeline instance’s namespace and support ReadWriteMany. Buffered data is read in FIFO order; records beyond the configured retention limit are discarded. Each replica has its own storage location within the volume. Microsoft warns that reducing replicas while disconnected from the cloud prevents those replicas’ data from being backfilled after reconnection. Microsoft Learn.\nApplicability\nUse this review for persistent-storage pipeline deployments on Arc-enabled Kubernetes during a cloud connectivity interruption. The question is whether pending replica-local data remains available for recovery, not whether the total requested replica count appears reasonable.\nDSE recommendation\nMake disconnected replica reduction an explicit exception requiring a buffered-data review, not an ordinary capacity adjustment. Ask the platform owner to preserve the affected replica set until the proposed recovery plan accounts for its pending records. Record the configured retention period and identify who decides whether an interruption has made data irrecoverable. Do not describe persistent storage alone as guaranteed delivery.\nVerification\nIn an approved test, capture replica identities and identifiable sample records before an interruption. Reconnect without reducing that set and examine which records arrive, in addition to checking service health. Review any missing samples against retention and replica-change evidence. Keep the test deliberately bounded; do not remove production replicas merely to demonstrate the documented loss condition. Use the results to refine the interruption runbook before applying capacity changes.\nOfficial references\nMicrosoft Learn: Configure Azure Monitor pipeline. Source reviewed September 9, 2026.",
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