In-depth guides and interactive tools for building real-time data pipelines across Oracle, Debezium, GoldenGate, Kafka, Redpanda, and Apache Iceberg.
Explore guidesResiliency and recovery architectures for Debezium Server with Oracle LogMiner in Kubernetes: monitoring visualizations, root-cause analysis, recovery playbooks, and K8s topology patterns.
Interactive tuning studio that generates optimized configurations for throughput, latency, CPU, and memory profiles, with trade-off analysis for each.
Interactive guide to configuring Oracle archive log retention for Debezium LogMiner: retention vs. downtime simulator, dual-destination RMAN strategy, and SCN-aware cleanup.
Interactive configuration generator for Debezium Server with Oracle LogMiner and JDBC-backed offset and schema history storage. Covers profiles, snapshot modes, CDB/PDB topology, and validation steps.
Compare redo_log_catalog and online_catalog approaches for managing DDL changes in Oracle PDBs with Debezium. Interactive step-by-step playbooks with no-data-loss procedures.
Interactive feasibility analysis for Debezium LogMiner CDC in Oracle Edition-Based Redefinition environments. Covers redo_log_catalog strategy, concurrent edition constraints, and DDL parsing requirements.
Interactive risk analyzer and tuning guide for Debezium Oracle LogMiner throughput: redo log sizing, logminer_unbuffered mode, Kafka producer settings, and SCN not found prevention.
Interactive architecture flow, performance simulation, and SCN recovery guide for sizing Oracle redo logs to support stable Debezium LogMiner CDC pipelines.
Dashboard-style explorer for Debezium Server with Oracle XStream: connection pooling, JDBC state storage, SMT pipelines, CloudEvents formatting, HTTP sink batching, and retry strategies.
Model Oracle GoldenGate license costs by processor count and target type, explore K8s node scoping rules, and build a per-tenant pricing strategy.
Architecture, cost, and consistency trade-offs for Oracle CDC — with an interactive recommendation engine for choosing between the two.
XStream vs LogMiner for multiple concurrent readers, same schema vs different schemas, horizontal scaling patterns, and high availability in Kubernetes.
Estimate compute savings, assess migration readiness, and explore the dlt + DuckDB implementation stack for switching from batch ETL to log-based CDC.
Compare GoldenGate, XStream, and Debezium on EBR cutover handling, supplemental logging, online DDL locking, and Oracle 19c vs 23ai configuration recommendations.
Interactive flow analyzer that recommends synchronous APIs, event choreography, or orchestration based on temporal intent, downstream topology, and compensation requirements.
Orchestration vs choreography in microservices, five good event-driven patterns, five anti-patterns to avoid, and a practical decision guide for choosing the right approach.
Change Data Capture (CDC) is a design pattern that tracks row-level changes in a database, inserts, updates, and deletes, and delivers them as a stream of events to downstream systems in real time. Instead of periodically querying for differences, CDC reads the database's transaction log (redo logs in Oracle, WAL in PostgreSQL, binlog in MySQL), capturing every change the moment it's committed.
CDC is the foundation of modern event-driven architectures, enabling real-time data replication, cache invalidation, audit logging, microservice synchronisation, and streaming analytics. In a typical CDC data stack, change events flow from the source database into a message broker, Apache Kafka or Redpanda, and from there into downstream stores such as data lakes built on Apache Iceberg, analytical warehouses, or search indexes. Debezium (open-source) and Oracle GoldenGate (commercial) are the most widely deployed CDC tools for Oracle Database environments.
Open-source CDC platform that streams database changes as events. Runs as a standalone Quarkus application in Kubernetes, supporting Oracle, PostgreSQL, MySQL, SQL Server, and MongoDB.
Oracle's built-in utility for reading redo logs via SQL. No additional license required. Used by Debezium with the online_catalog or redo_log_catalog strategies.
Oracle's high-performance streaming API built on GoldenGate internals. Provides lower latency than LogMiner but requires an Oracle GoldenGate license. Used by Debezium as an alternative capture adapter.
Enterprise-grade real-time data integration platform for heterogeneous replication, zero-downtime migrations, and active-active database synchronization across Oracle and non-Oracle targets.
The most widely used event streaming platforms for CDC pipelines. Kafka Connect hosts Debezium as a source connector, publishing change events to topics. Redpanda is a Kafka-compatible alternative with no ZooKeeper dependency.
Open table format for large-scale data lakes in object storage (S3, Azure Data Lake, GCS). CDC events flow through Kafka Connect sink connectors into Iceberg tables, enabling real-time analytics on operational Oracle data.
log.mining.batch.size.default (increase to 100,000+ for larger mining windows), max.queue.size (buffer between source and sink), poll.interval.ms (reduce to minimize idle time), and HTTP sink batch size. Use ZGC for garbage collection on large heaps, and ensure the Kubernetes pod has guaranteed QoS with requests equal to limits.