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Audit IBM Db2 CDC streams using Debezium, sample change event throughput, detect unconsumed transaction backlogs, and dispatch Slack alerts.
In enterprise architectures relying on IBM Db2 LUW or mainframe data platforms for core transactional operations, Change Data Capture (CDC) via Debezium provides the critical backbone for real-time data replication into event hubs, streaming pipelines, and analytical data warehouses. When sudden batch workloads generate spikes in change events or downstream consumers experience network throttling, unconsumed CDC events accumulate in Db2 transaction log buffers. Left unmonitored, log archives exhaust disk space and replication pipelines experience severe data drift.
This blueprint implements an automated Day 2 operations sentinel for IBM Db2 CDC pipelines. On a scheduled cadence, it executes a bounded diagnostic capture cycle (io.kestra.plugin.debezium.db2.Capture) with strict limits, samples active change records, calculates throughput health against SLA thresholds, and alerts data platform engineers via Slack before consumer lag impacts production downstream systems.
periodic_schedule trigger runs the flow on a 3-hour cadence with default connection parameters, configured in a disabled state for safe deployment.probe_cdc_stream (io.kestra.plugin.debezium.db2.Capture) initializes the Debezium Db2 connector, connects to the target server, and reads a sample batch of change events up to probe_max_records.classify_cdc_posture (io.kestra.plugin.core.debug.Return) evaluates query outputs against configured warning and critical thresholds via Pebble, classifying state into DB2_CONNECTION_FAILED, HIGH_BACKLOG_SURGE, ZERO_EVENT_IDLE, or HEALTHY.route_posture_action (io.kestra.plugin.core.flow.Switch) directs subsequent steps: high backlog surges and connection drops dispatch high-urgency Slack incident alerts, while idle and normal throughput states emit diagnostic logs.audit_sentinel_run (io.kestra.plugin.core.log.Log) writes an immutable summary entry capturing the execution ID, evaluated verdict, and total event count for compliance auditing.errors handler catches uncaught connection drops or authentication timeouts and dispatches an incident alert to Slack.Monitoring CDC pipelines with disparate shell scripts creates unmanaged infrastructure, plain-text credential leaks, and silent script failures. Kestra delivers certified Debezium Db2 integration, centralized secret masking, declarative scheduling, robust failure retries, and unified alerting without installing or maintaining specialized host monitoring daemons.
DB2_USERNAME: Database user login authorized to connect to the Db2 instance.DB2_PASSWORD: Password for the designated Db2 database user.SLACK_WEBHOOK_URL: The destination Slack webhook URL for operational incident dispatching.DB2_USERNAME, DB2_PASSWORD, and SLACK_WEBHOOK_URL in your Kestra namespace secrets.docker run -d --name db2-sentinel \
-p 50000:50000 \
-e DB2INST1_PASSWORD=my_secret_pass \
-e LICENSE=accept \
icr.io/db2_community/db2:latest
docker network connect YOUR_KESTRA_NETWORK db2-sentinel
db2_hostname: "db2-sentinel".HEALTHY or ZERO_EVENT_IDLE).periodic_schedule trigger to activate autonomous background monitoring.stateOffsetKey into Kestra namespace KV storage for continuous incremental replication.io.kestra.plugin.pagerduty when unconsumed records exceed 1,000 events.io.kestra.plugin.core.flow.If condition to trigger downstream warehouse refresh jobs only when new CDC events are detected.