Data Analytics

Problem: The customer requested a concrete Disaster Recovery (DR) strategy for a Debezium-based CDC platform covering supported DR architectures, Active‑Active vs Active‑Passive tradeoffs, replication/failover mechanisms, Kafka dependencies, metadata/offset/schema‑history recovery, RTO/RPO targets, infrastructure prerequisites, and DB‑specific guidance for Oracle, Postgres and MySQL. The existing environment used Debezium connectors, Kafka, cross‑cluster replication (MirrorMaker2), and a managed schema […]

Problem: A production alert arrived with the subject indicating “client replied sms” and a Severity 3 priority: inbound reply messages were not being recorded by the downstream processing pipeline. The affected pipeline is an Apache Spark Structured Streaming job that consumes reply events from a message broker and uses a persistent checkpoint directory to track […]

Problem: An automated notification opened a Severity 2 case for Apache Spark with minimal details from the reporter. The only information attached to the alert was the product (Apache Spark) and the high-severity flag; no application logs or job identifiers were provided. Initial observable behavior from follow-up checks showed repeat Spark application failures on the […]

Problem: An official Apache NiFi Docker image (standard distribution) was scanned by a security tool and reported a high-severity finding: sonatype-2024-3350 (commons-collections version 3.2.2). The scanner identified the vulnerable class (SetUniqueList) inside the nifi-toolkit-assembly artifact (zip:bin, NiFi distribution version 2.8.0). The deployment context was a stock NiFi image pulled from the vendor registry — no […]

Problem: Client requested a step‑by‑step procedure to add two new servers to an existing three‑node Kafka cluster running in KRaft mode, with the explicit requirement to avoid any data loss. The cluster’s existing configuration (server.properties) and current controller.quorum.voters format were provided for reference. The observable concern was that adding voters and brokers incorrectly could cause […]

Problem: A MySQL table named with embedded spaces (schema-qualified as “dbo.Sourcing Id Master”) could not be used in the Debezium connector’s message.key.columns setting. The connector configuration contained the entry “message.key.columns”: “dbo.Sourcing Id Master:id” and the connector validation rejected it with an invalid-format error referencing the expected pattern for message.key.columns. Attempts to escape characters in the […]

Problem: A production team requested guidance to implement multi-tenancy and fine-grained RBAC in Apache NiFi so different users/groups would have isolated view and edit rights at the Process Group level. Requested capabilities included: allowing certain users to view and edit only a specific Process Group (no access to other canvas areas), defining Read‑Only vs Read/Write […]

Problem: The client experienced repeated failures in two Apache Airflow DAGs responsible for launching Kubernetes Jobs. Each DAG followed a delete-and-recreate pattern using a fixed Kubernetes Job name. Although the Airflow task responsible for deleting the Job reported success, the subsequent Job creation consistently failed with a Kubernetes conflict error indicating that the Job already […]

Problem: The client, reported repeated network timeouts and instability in their Apache Kafka environment, resulting in missing Call Detail Records for specific time periods. The issue manifested as persistent connectivity errors between Kafka brokers and 100% CPU utilization on the node hosting critical services (UMS, App, and ODF pods). Process: Step 1: Initial Identification The […]