Curriculum planned

Stage 09 · Integration, CDC & Orchestration

Debezium

A comprehensive Debezium course covering change-data capture fundamentals, database logs, snapshots and streaming, event envelopes, schema history, offsets, signals, incremental snapshots, Kafka Connect, Debezium Server and Engine, source connectors, sinks, transformations, outbox patterns, OpenLineage, security, observability, upgrades, and production CDC architecture.

Browse planned curriculum Back to all courses

34planned chapters

170reserved lesson paths

Intermediate → Advancedlearning level

Plannedcourse state

Coverage baselineDebezium 3.6.0.Final baseline (released July 1, 2026) with Kafka Connect 4.3 compatibility, Debezium Server, Embedded Engine, Debezium Platform/CLI, source and sink connectors, incremental snapshots, signaling, OpenLineage, Quarkus extensions, sink integrations, and production CDC operations

Course brief

Build CDC systems by understanding the source database log first: what is captured, where offsets live, how snapshots transition into streaming, how schema changes are represented, and exactly where duplicates, gaps, reordering, and operational risk can occur.

A comprehensive Debezium course covering change-data capture fundamentals, database logs, snapshots and streaming, event envelopes, schema history, offsets, signals, incremental snapshots, Kafka Connect, Debezium Server and Engine, source connectors, sinks, transformations, outbox patterns, OpenLineage, security, observability, upgrades, and production CDC architecture.

This syllabus deliberately separates foundations, data/model semantics, internals, reliability, security, performance, operations, and production design so advanced material is not compressed into generic catch-all chapters.

By the end

You will be able to

Configure and operate Debezium 3.6 source connectors across major relational/document systems while understanding the database-specific log prerequisites
Explain initial/incremental snapshots, offsets, schema history, heartbeats, transaction metadata, signals, ordering, tombstones, and event-envelope semantics
Deploy Debezium through Kafka Connect, Debezium Server, Embedded Engine, Quarkus extensions, and Platform/CLI patterns with secure configuration
Design reliable consumers, sinks, outbox pipelines, schema-evolution handling, lineage, filtering/routing SMTs, replay, and disaster-recovery procedures
Diagnose lag, connector failures, log-retention hazards, schema-history problems, source load, duplicates, and upgrade risks using metrics and controlled failure drills

Complete planned syllabus

34 chapters · 170 lesson paths.

Every lesson path is reserved now but intentionally not linked until its lesson HTML is actually published. The sequence moves from foundations through advanced implementation, architecture, operations, reliability, security, tuning, and a production capstone.

01

Chapter 1

CDC Foundations: Change Data Capture vs Polling/Triggers, Debezium 3.6, Use Cases, Failure Models, and Local Lab Setup

5 lessons

01

CDC Foundations: Change Data Capture vs Polling/Triggers, Debezium 3.6, Use Cases, Failure Models, and Local Lab Setup: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter01/Lesson1.html

Planned02

CDC Foundations: Change Data Capture vs Polling/Triggers, Debezium 3.6, Use Cases, Failure Models, and Local Lab Setup: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter01/Lesson2.html

Planned03

CDC Foundations: Change Data Capture vs Polling/Triggers, Debezium 3.6, Use Cases, Failure Models, and Local Lab Setup: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter01/Lesson3.html

Planned04

CDC Foundations: Change Data Capture vs Polling/Triggers, Debezium 3.6, Use Cases, Failure Models, and Local Lab Setup: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter01/Lesson4.html

Planned05

Checkpoint Lab — CDC Foundations: Change Data Capture vs Polling/Triggers, Debezium 3.6, Use Cases, Failure Models, and Local Lab Setup: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter01/Lesson5.html

Planned

02

Chapter 2

Database Log Fundamentals: WAL, Binlog, Redo/Transaction Logs, LSN/SCN/GTID Concepts, Retention, Privileges, and Source Impact

5 lessons

01

Database Log Fundamentals: WAL, Binlog, Redo/Transaction Logs, LSN/SCN/GTID Concepts, Retention, Privileges, and Source Impact: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter02/Lesson1.html

Planned02

Database Log Fundamentals: WAL, Binlog, Redo/Transaction Logs, LSN/SCN/GTID Concepts, Retention, Privileges, and Source Impact: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter02/Lesson2.html

Planned03

Database Log Fundamentals: WAL, Binlog, Redo/Transaction Logs, LSN/SCN/GTID Concepts, Retention, Privileges, and Source Impact: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter02/Lesson3.html

Planned04

Database Log Fundamentals: WAL, Binlog, Redo/Transaction Logs, LSN/SCN/GTID Concepts, Retention, Privileges, and Source Impact: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter02/Lesson4.html

Planned05

Checkpoint Lab — Database Log Fundamentals: WAL, Binlog, Redo/Transaction Logs, LSN/SCN/GTID Concepts, Retention, Privileges, and Source Impact: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter02/Lesson5.html

Planned

03

Chapter 3

Debezium Event Model: Keys, Before/After Images, Source Metadata, Operation Codes, Timestamps, Tombstones, and Envelope Semantics

5 lessons

01

Debezium Event Model: Keys, Before/After Images, Source Metadata, Operation Codes, Timestamps, Tombstones, and Envelope Semantics: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter03/Lesson1.html

Planned02

Debezium Event Model: Keys, Before/After Images, Source Metadata, Operation Codes, Timestamps, Tombstones, and Envelope Semantics: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter03/Lesson2.html

Planned03

Debezium Event Model: Keys, Before/After Images, Source Metadata, Operation Codes, Timestamps, Tombstones, and Envelope Semantics: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter03/Lesson3.html

Planned04

Debezium Event Model: Keys, Before/After Images, Source Metadata, Operation Codes, Timestamps, Tombstones, and Envelope Semantics: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter03/Lesson4.html

Planned05

Checkpoint Lab — Debezium Event Model: Keys, Before/After Images, Source Metadata, Operation Codes, Timestamps, Tombstones, and Envelope Semantics: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter03/Lesson5.html

Planned

04

Chapter 4

Snapshots: Initial Snapshots, Locking Modes, Schema Capture, Snapshot Select Overrides, Consistency, and Transition to Streaming

5 lessons

01

Snapshots: Initial Snapshots, Locking Modes, Schema Capture, Snapshot Select Overrides, Consistency, and Transition to Streaming: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter04/Lesson1.html

Planned02

Snapshots: Initial Snapshots, Locking Modes, Schema Capture, Snapshot Select Overrides, Consistency, and Transition to Streaming: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter04/Lesson2.html

Planned03

Snapshots: Initial Snapshots, Locking Modes, Schema Capture, Snapshot Select Overrides, Consistency, and Transition to Streaming: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter04/Lesson3.html

Planned04

Snapshots: Initial Snapshots, Locking Modes, Schema Capture, Snapshot Select Overrides, Consistency, and Transition to Streaming: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter04/Lesson4.html

Planned05

Checkpoint Lab — Snapshots: Initial Snapshots, Locking Modes, Schema Capture, Snapshot Select Overrides, Consistency, and Transition to Streaming: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter04/Lesson5.html

Planned

05

Chapter 5

Incremental Snapshots: Chunking, Watermarks, Signals, Ad-Hoc Tables, Pause/Resume/Stop, Concurrent Writes, and Source Load Control

5 lessons

01

Incremental Snapshots: Chunking, Watermarks, Signals, Ad-Hoc Tables, Pause/Resume/Stop, Concurrent Writes, and Source Load Control: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter05/Lesson1.html

Planned02

Incremental Snapshots: Chunking, Watermarks, Signals, Ad-Hoc Tables, Pause/Resume/Stop, Concurrent Writes, and Source Load Control: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter05/Lesson2.html

Planned03

Incremental Snapshots: Chunking, Watermarks, Signals, Ad-Hoc Tables, Pause/Resume/Stop, Concurrent Writes, and Source Load Control: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter05/Lesson3.html

Planned04

Incremental Snapshots: Chunking, Watermarks, Signals, Ad-Hoc Tables, Pause/Resume/Stop, Concurrent Writes, and Source Load Control: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter05/Lesson4.html

Planned05

Checkpoint Lab — Incremental Snapshots: Chunking, Watermarks, Signals, Ad-Hoc Tables, Pause/Resume/Stop, Concurrent Writes, and Source Load Control: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter05/Lesson5.html

Planned

06

Chapter 6

Offsets and Resume Semantics: Connector Offsets, Source Positions, Restart Behavior, Offset Storage, Rewinds, and Data-Loss Boundaries

5 lessons

01

Offsets and Resume Semantics: Connector Offsets, Source Positions, Restart Behavior, Offset Storage, Rewinds, and Data-Loss Boundaries: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter06/Lesson1.html

Planned02

Offsets and Resume Semantics: Connector Offsets, Source Positions, Restart Behavior, Offset Storage, Rewinds, and Data-Loss Boundaries: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter06/Lesson2.html

Planned03

Offsets and Resume Semantics: Connector Offsets, Source Positions, Restart Behavior, Offset Storage, Rewinds, and Data-Loss Boundaries: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter06/Lesson3.html

Planned04

Offsets and Resume Semantics: Connector Offsets, Source Positions, Restart Behavior, Offset Storage, Rewinds, and Data-Loss Boundaries: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter06/Lesson4.html

Planned05

Checkpoint Lab — Offsets and Resume Semantics: Connector Offsets, Source Positions, Restart Behavior, Offset Storage, Rewinds, and Data-Loss Boundaries: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter06/Lesson5.html

Planned

07

Chapter 7

Schema History and Evolution: DDL Capture, Internal Schema History, Compatibility, Renames, Type Changes, and Recovery from History Problems

5 lessons

01

Schema History and Evolution: DDL Capture, Internal Schema History, Compatibility, Renames, Type Changes, and Recovery from History Problems: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter07/Lesson1.html

Planned02

Schema History and Evolution: DDL Capture, Internal Schema History, Compatibility, Renames, Type Changes, and Recovery from History Problems: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter07/Lesson2.html

Planned03

Schema History and Evolution: DDL Capture, Internal Schema History, Compatibility, Renames, Type Changes, and Recovery from History Problems: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter07/Lesson3.html

Planned04

Schema History and Evolution: DDL Capture, Internal Schema History, Compatibility, Renames, Type Changes, and Recovery from History Problems: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter07/Lesson4.html

Planned05

Checkpoint Lab — Schema History and Evolution: DDL Capture, Internal Schema History, Compatibility, Renames, Type Changes, and Recovery from History Problems: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter07/Lesson5.html

Planned

08

Chapter 8

Kafka Connect Deployment: Plugins, Workers, Tasks, Internal Topics, REST API, Distributed Mode, Rebalancing, and Connector Lifecycle

5 lessons

01

Kafka Connect Deployment: Plugins, Workers, Tasks, Internal Topics, REST API, Distributed Mode, Rebalancing, and Connector Lifecycle: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter08/Lesson1.html

Planned02

Kafka Connect Deployment: Plugins, Workers, Tasks, Internal Topics, REST API, Distributed Mode, Rebalancing, and Connector Lifecycle: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter08/Lesson2.html

Planned03

Kafka Connect Deployment: Plugins, Workers, Tasks, Internal Topics, REST API, Distributed Mode, Rebalancing, and Connector Lifecycle: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter08/Lesson3.html

Planned04

Kafka Connect Deployment: Plugins, Workers, Tasks, Internal Topics, REST API, Distributed Mode, Rebalancing, and Connector Lifecycle: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter08/Lesson4.html

Planned05

Checkpoint Lab — Kafka Connect Deployment: Plugins, Workers, Tasks, Internal Topics, REST API, Distributed Mode, Rebalancing, and Connector Lifecycle: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter08/Lesson5.html

Planned

09

Chapter 9

Debezium Server: Standalone CDC, Sink Abstraction, Configuration, Serialization, Kubernetes/Container Deployment, and Operational Tradeoffs

5 lessons

01

Debezium Server: Standalone CDC, Sink Abstraction, Configuration, Serialization, Kubernetes/Container Deployment, and Operational Tradeoffs: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter09/Lesson1.html

Planned02

Debezium Server: Standalone CDC, Sink Abstraction, Configuration, Serialization, Kubernetes/Container Deployment, and Operational Tradeoffs: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter09/Lesson2.html

Planned03

Debezium Server: Standalone CDC, Sink Abstraction, Configuration, Serialization, Kubernetes/Container Deployment, and Operational Tradeoffs: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter09/Lesson3.html

Planned04

Debezium Server: Standalone CDC, Sink Abstraction, Configuration, Serialization, Kubernetes/Container Deployment, and Operational Tradeoffs: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter09/Lesson4.html

Planned05

Checkpoint Lab — Debezium Server: Standalone CDC, Sink Abstraction, Configuration, Serialization, Kubernetes/Container Deployment, and Operational Tradeoffs: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter09/Lesson5.html

Planned

10

Chapter 10

Debezium Engine and Quarkus Extensions: Embedded Capture, Application Lifecycle, Offset/History Stores, Threading, Transactions, and When to Embed CDC

5 lessons

01

Debezium Engine and Quarkus Extensions: Embedded Capture, Application Lifecycle, Offset/History Stores, Threading, Transactions, and When to Embed CDC: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter10/Lesson1.html

Planned02

Debezium Engine and Quarkus Extensions: Embedded Capture, Application Lifecycle, Offset/History Stores, Threading, Transactions, and When to Embed CDC: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter10/Lesson2.html

Planned03

Debezium Engine and Quarkus Extensions: Embedded Capture, Application Lifecycle, Offset/History Stores, Threading, Transactions, and When to Embed CDC: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter10/Lesson3.html

Planned04

Debezium Engine and Quarkus Extensions: Embedded Capture, Application Lifecycle, Offset/History Stores, Threading, Transactions, and When to Embed CDC: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter10/Lesson4.html

Planned05

Checkpoint Lab — Debezium Engine and Quarkus Extensions: Embedded Capture, Application Lifecycle, Offset/History Stores, Threading, Transactions, and When to Embed CDC: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter10/Lesson5.html

Planned

11

Chapter 11

Debezium Platform and CLI: Connections, Source/Destination Management, Kubernetes Deployment, Monitoring, Labels, Images, and Team Workflows

5 lessons

01

Debezium Platform and CLI: Connections, Source/Destination Management, Kubernetes Deployment, Monitoring, Labels, Images, and Team Workflows: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter11/Lesson1.html

Planned02

Debezium Platform and CLI: Connections, Source/Destination Management, Kubernetes Deployment, Monitoring, Labels, Images, and Team Workflows: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter11/Lesson2.html

Planned03

Debezium Platform and CLI: Connections, Source/Destination Management, Kubernetes Deployment, Monitoring, Labels, Images, and Team Workflows: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter11/Lesson3.html

Planned04

Debezium Platform and CLI: Connections, Source/Destination Management, Kubernetes Deployment, Monitoring, Labels, Images, and Team Workflows: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter11/Lesson4.html

Planned05

Checkpoint Lab — Debezium Platform and CLI: Connections, Source/Destination Management, Kubernetes Deployment, Monitoring, Labels, Images, and Team Workflows: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter11/Lesson5.html

Planned

12

Chapter 12

MySQL and MariaDB Connectors: Binlog Formats, GTIDs, Server IDs, Snapshots, DDL, Failover, Binlog Purging, and Compatibility Differences

5 lessons

01

MySQL and MariaDB Connectors: Binlog Formats, GTIDs, Server IDs, Snapshots, DDL, Failover, Binlog Purging, and Compatibility Differences: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter12/Lesson1.html

Planned02

MySQL and MariaDB Connectors: Binlog Formats, GTIDs, Server IDs, Snapshots, DDL, Failover, Binlog Purging, and Compatibility Differences: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter12/Lesson2.html

Planned03

MySQL and MariaDB Connectors: Binlog Formats, GTIDs, Server IDs, Snapshots, DDL, Failover, Binlog Purging, and Compatibility Differences: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter12/Lesson3.html

Planned04

MySQL and MariaDB Connectors: Binlog Formats, GTIDs, Server IDs, Snapshots, DDL, Failover, Binlog Purging, and Compatibility Differences: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter12/Lesson4.html

Planned05

Checkpoint Lab — MySQL and MariaDB Connectors: Binlog Formats, GTIDs, Server IDs, Snapshots, DDL, Failover, Binlog Purging, and Compatibility Differences: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter12/Lesson5.html

Planned

13

Chapter 13

PostgreSQL Connector: Logical Decoding, pgoutput, Replication Slots, Publications, WAL Retention, Failover Slots, and Operational Hazards

5 lessons

01

PostgreSQL Connector: Logical Decoding, pgoutput, Replication Slots, Publications, WAL Retention, Failover Slots, and Operational Hazards: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter13/Lesson1.html

Planned02

PostgreSQL Connector: Logical Decoding, pgoutput, Replication Slots, Publications, WAL Retention, Failover Slots, and Operational Hazards: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter13/Lesson2.html

Planned03

PostgreSQL Connector: Logical Decoding, pgoutput, Replication Slots, Publications, WAL Retention, Failover Slots, and Operational Hazards: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter13/Lesson3.html

Planned04

PostgreSQL Connector: Logical Decoding, pgoutput, Replication Slots, Publications, WAL Retention, Failover Slots, and Operational Hazards: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter13/Lesson4.html

Planned05

Checkpoint Lab — PostgreSQL Connector: Logical Decoding, pgoutput, Replication Slots, Publications, WAL Retention, Failover Slots, and Operational Hazards: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter13/Lesson5.html

Planned

14

Chapter 14

SQL Server Connector: CDC Tables, Capture Instances, LSNs, SQL Agent Dependencies, Cleanup Jobs, Column Filters, and HA Considerations

5 lessons

01

SQL Server Connector: CDC Tables, Capture Instances, LSNs, SQL Agent Dependencies, Cleanup Jobs, Column Filters, and HA Considerations: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter14/Lesson1.html

Planned02

SQL Server Connector: CDC Tables, Capture Instances, LSNs, SQL Agent Dependencies, Cleanup Jobs, Column Filters, and HA Considerations: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter14/Lesson2.html

Planned03

SQL Server Connector: CDC Tables, Capture Instances, LSNs, SQL Agent Dependencies, Cleanup Jobs, Column Filters, and HA Considerations: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter14/Lesson3.html

Planned04

SQL Server Connector: CDC Tables, Capture Instances, LSNs, SQL Agent Dependencies, Cleanup Jobs, Column Filters, and HA Considerations: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter14/Lesson4.html

Planned05

Checkpoint Lab — SQL Server Connector: CDC Tables, Capture Instances, LSNs, SQL Agent Dependencies, Cleanup Jobs, Column Filters, and HA Considerations: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter14/Lesson5.html

Planned

15

Chapter 15

Oracle Connector: LogMiner/XStream Concepts, Supplemental Logging, Archive Logs, SCNs, RAC Awareness, Performance, and Upgrade Considerations

5 lessons

01

Oracle Connector: LogMiner/XStream Concepts, Supplemental Logging, Archive Logs, SCNs, RAC Awareness, Performance, and Upgrade Considerations: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter15/Lesson1.html

Planned02

Oracle Connector: LogMiner/XStream Concepts, Supplemental Logging, Archive Logs, SCNs, RAC Awareness, Performance, and Upgrade Considerations: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter15/Lesson2.html

Planned03

Oracle Connector: LogMiner/XStream Concepts, Supplemental Logging, Archive Logs, SCNs, RAC Awareness, Performance, and Upgrade Considerations: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter15/Lesson3.html

Planned04

Oracle Connector: LogMiner/XStream Concepts, Supplemental Logging, Archive Logs, SCNs, RAC Awareness, Performance, and Upgrade Considerations: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter15/Lesson4.html

Planned05

Checkpoint Lab — Oracle Connector: LogMiner/XStream Concepts, Supplemental Logging, Archive Logs, SCNs, RAC Awareness, Performance, and Upgrade Considerations: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter15/Lesson5.html

Planned

16

Chapter 16

MongoDB Connector: Replica Sets/Shards, Change Streams/Oplog Concepts, Resume Tokens, Collection Discovery, Snapshots, and Document Schema Handling

5 lessons

01

MongoDB Connector: Replica Sets/Shards, Change Streams/Oplog Concepts, Resume Tokens, Collection Discovery, Snapshots, and Document Schema Handling: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter16/Lesson1.html

Planned02

MongoDB Connector: Replica Sets/Shards, Change Streams/Oplog Concepts, Resume Tokens, Collection Discovery, Snapshots, and Document Schema Handling: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter16/Lesson2.html

Planned03

MongoDB Connector: Replica Sets/Shards, Change Streams/Oplog Concepts, Resume Tokens, Collection Discovery, Snapshots, and Document Schema Handling: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter16/Lesson3.html

Planned04

MongoDB Connector: Replica Sets/Shards, Change Streams/Oplog Concepts, Resume Tokens, Collection Discovery, Snapshots, and Document Schema Handling: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter16/Lesson4.html

Planned05

Checkpoint Lab — MongoDB Connector: Replica Sets/Shards, Change Streams/Oplog Concepts, Resume Tokens, Collection Discovery, Snapshots, and Document Schema Handling: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter16/Lesson5.html

Planned

17

Chapter 17

Db2, Informix, CockroachDB, Spanner, Vitess, and Cassandra Connectors: Architecture, Prerequisites, Supported Semantics, and Connector-Specific Limits

5 lessons

01

Db2, Informix, CockroachDB, Spanner, Vitess, and Cassandra Connectors: Architecture, Prerequisites, Supported Semantics, and Connector-Specific Limits: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter17/Lesson1.html

Planned02

Db2, Informix, CockroachDB, Spanner, Vitess, and Cassandra Connectors: Architecture, Prerequisites, Supported Semantics, and Connector-Specific Limits: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter17/Lesson2.html

Planned03

Db2, Informix, CockroachDB, Spanner, Vitess, and Cassandra Connectors: Architecture, Prerequisites, Supported Semantics, and Connector-Specific Limits: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter17/Lesson3.html

Planned04

Db2, Informix, CockroachDB, Spanner, Vitess, and Cassandra Connectors: Architecture, Prerequisites, Supported Semantics, and Connector-Specific Limits: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter17/Lesson4.html

Planned05

Checkpoint Lab — Db2, Informix, CockroachDB, Spanner, Vitess, and Cassandra Connectors: Architecture, Prerequisites, Supported Semantics, and Connector-Specific Limits: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter17/Lesson5.html

Planned

18

Chapter 18

Filtering, Routing, and Naming: Include/Exclude Rules, Topic Naming, Schema/Table Renames, Regex Routing, Partition Routing, and Multi-Tenant Naming Standards

5 lessons

01

Filtering, Routing, and Naming: Include/Exclude Rules, Topic Naming, Schema/Table Renames, Regex Routing, Partition Routing, and Multi-Tenant Naming Standards: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter18/Lesson1.html

Planned02

Filtering, Routing, and Naming: Include/Exclude Rules, Topic Naming, Schema/Table Renames, Regex Routing, Partition Routing, and Multi-Tenant Naming Standards: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter18/Lesson2.html

Planned03

Filtering, Routing, and Naming: Include/Exclude Rules, Topic Naming, Schema/Table Renames, Regex Routing, Partition Routing, and Multi-Tenant Naming Standards: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter18/Lesson3.html

Planned04

Filtering, Routing, and Naming: Include/Exclude Rules, Topic Naming, Schema/Table Renames, Regex Routing, Partition Routing, and Multi-Tenant Naming Standards: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter18/Lesson4.html

Planned05

Checkpoint Lab — Filtering, Routing, and Naming: Include/Exclude Rules, Topic Naming, Schema/Table Renames, Regex Routing, Partition Routing, and Multi-Tenant Naming Standards: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter18/Lesson5.html

Planned

19

Chapter 19

Single Message Transforms: ExtractNewRecordState, Event Flattening, Header Enrichment, Masking, Filtering, Routing, Nested Fields, and Transform Ordering

5 lessons

01

Single Message Transforms: ExtractNewRecordState, Event Flattening, Header Enrichment, Masking, Filtering, Routing, Nested Fields, and Transform Ordering: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter19/Lesson1.html

Planned02

Single Message Transforms: ExtractNewRecordState, Event Flattening, Header Enrichment, Masking, Filtering, Routing, Nested Fields, and Transform Ordering: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter19/Lesson2.html

Planned03

Single Message Transforms: ExtractNewRecordState, Event Flattening, Header Enrichment, Masking, Filtering, Routing, Nested Fields, and Transform Ordering: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter19/Lesson3.html

Planned04

Single Message Transforms: ExtractNewRecordState, Event Flattening, Header Enrichment, Masking, Filtering, Routing, Nested Fields, and Transform Ordering: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter19/Lesson4.html

Planned05

Checkpoint Lab — Single Message Transforms: ExtractNewRecordState, Event Flattening, Header Enrichment, Masking, Filtering, Routing, Nested Fields, and Transform Ordering: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter19/Lesson5.html

Planned

20

Chapter 20

Custom Converters and Post-Processors: Type Mapping, Domain-Specific Enrichment, Extension APIs, Testing, Compatibility, and Operational Safety

5 lessons

01

Custom Converters and Post-Processors: Type Mapping, Domain-Specific Enrichment, Extension APIs, Testing, Compatibility, and Operational Safety: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter20/Lesson1.html

Planned02

Custom Converters and Post-Processors: Type Mapping, Domain-Specific Enrichment, Extension APIs, Testing, Compatibility, and Operational Safety: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter20/Lesson2.html

Planned03

Custom Converters and Post-Processors: Type Mapping, Domain-Specific Enrichment, Extension APIs, Testing, Compatibility, and Operational Safety: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter20/Lesson3.html

Planned04

Custom Converters and Post-Processors: Type Mapping, Domain-Specific Enrichment, Extension APIs, Testing, Compatibility, and Operational Safety: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter20/Lesson4.html

Planned05

Checkpoint Lab — Custom Converters and Post-Processors: Type Mapping, Domain-Specific Enrichment, Extension APIs, Testing, Compatibility, and Operational Safety: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter20/Lesson5.html

Planned

21

Chapter 21

Transaction Metadata and Ordering: BEGIN/END Events, Event Counts, Source Transaction IDs, Partitioning, Cross-Table Ordering, and Consumer Reconstruction

5 lessons

01

Transaction Metadata and Ordering: BEGIN/END Events, Event Counts, Source Transaction IDs, Partitioning, Cross-Table Ordering, and Consumer Reconstruction: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter21/Lesson1.html

Planned02

Transaction Metadata and Ordering: BEGIN/END Events, Event Counts, Source Transaction IDs, Partitioning, Cross-Table Ordering, and Consumer Reconstruction: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter21/Lesson2.html

Planned03

Transaction Metadata and Ordering: BEGIN/END Events, Event Counts, Source Transaction IDs, Partitioning, Cross-Table Ordering, and Consumer Reconstruction: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter21/Lesson3.html

Planned04

Transaction Metadata and Ordering: BEGIN/END Events, Event Counts, Source Transaction IDs, Partitioning, Cross-Table Ordering, and Consumer Reconstruction: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter21/Lesson4.html

Planned05

Checkpoint Lab — Transaction Metadata and Ordering: BEGIN/END Events, Event Counts, Source Transaction IDs, Partitioning, Cross-Table Ordering, and Consumer Reconstruction: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter21/Lesson5.html

Planned

22

Chapter 22

Heartbeats and Low-Traffic Sources: Offset Advancement, WAL/Binlog Retention, Shared Heartbeat Topics, Monitoring, and Operational Design

5 lessons

01

Heartbeats and Low-Traffic Sources: Offset Advancement, WAL/Binlog Retention, Shared Heartbeat Topics, Monitoring, and Operational Design: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter22/Lesson1.html

Planned02

Heartbeats and Low-Traffic Sources: Offset Advancement, WAL/Binlog Retention, Shared Heartbeat Topics, Monitoring, and Operational Design: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter22/Lesson2.html

Planned03

Heartbeats and Low-Traffic Sources: Offset Advancement, WAL/Binlog Retention, Shared Heartbeat Topics, Monitoring, and Operational Design: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter22/Lesson3.html

Planned04

Heartbeats and Low-Traffic Sources: Offset Advancement, WAL/Binlog Retention, Shared Heartbeat Topics, Monitoring, and Operational Design: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter22/Lesson4.html

Planned05

Checkpoint Lab — Heartbeats and Low-Traffic Sources: Offset Advancement, WAL/Binlog Retention, Shared Heartbeat Topics, Monitoring, and Operational Design: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter22/Lesson5.html

Planned

23

Chapter 23

Signals and Runtime Control: Kafka/Table/File Signal Channels, Execute Snapshot, Log Messages, Pause/Resume, Position Adjustment, and Automation

5 lessons

01

Signals and Runtime Control: Kafka/Table/File Signal Channels, Execute Snapshot, Log Messages, Pause/Resume, Position Adjustment, and Automation: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter23/Lesson1.html

Planned02

Signals and Runtime Control: Kafka/Table/File Signal Channels, Execute Snapshot, Log Messages, Pause/Resume, Position Adjustment, and Automation: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter23/Lesson2.html

Planned03

Signals and Runtime Control: Kafka/Table/File Signal Channels, Execute Snapshot, Log Messages, Pause/Resume, Position Adjustment, and Automation: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter23/Lesson3.html

Planned04

Signals and Runtime Control: Kafka/Table/File Signal Channels, Execute Snapshot, Log Messages, Pause/Resume, Position Adjustment, and Automation: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter23/Lesson4.html

Planned05

Checkpoint Lab — Signals and Runtime Control: Kafka/Table/File Signal Channels, Execute Snapshot, Log Messages, Pause/Resume, Position Adjustment, and Automation: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter23/Lesson5.html

Planned

24

Chapter 24

Outbox Event Router Pattern: Transactional Outbox Design, Aggregate IDs, Event Types, Headers, Routing, Cleanup, and Dual-Write Avoidance

5 lessons

01

Outbox Event Router Pattern: Transactional Outbox Design, Aggregate IDs, Event Types, Headers, Routing, Cleanup, and Dual-Write Avoidance: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter24/Lesson1.html

Planned02

Outbox Event Router Pattern: Transactional Outbox Design, Aggregate IDs, Event Types, Headers, Routing, Cleanup, and Dual-Write Avoidance: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter24/Lesson2.html

Planned03

Outbox Event Router Pattern: Transactional Outbox Design, Aggregate IDs, Event Types, Headers, Routing, Cleanup, and Dual-Write Avoidance: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter24/Lesson3.html

Planned04

Outbox Event Router Pattern: Transactional Outbox Design, Aggregate IDs, Event Types, Headers, Routing, Cleanup, and Dual-Write Avoidance: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter24/Lesson4.html

Planned05

Checkpoint Lab — Outbox Event Router Pattern: Transactional Outbox Design, Aggregate IDs, Event Types, Headers, Routing, Cleanup, and Dual-Write Avoidance: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter24/Lesson5.html

Planned

25

Chapter 25

Schema Registries and Serialization: JSON, Avro, Protobuf, Connect Schemas, Schema Evolution, Subject Naming, Compatibility, and Consumer Contracts

5 lessons

01

Schema Registries and Serialization: JSON, Avro, Protobuf, Connect Schemas, Schema Evolution, Subject Naming, Compatibility, and Consumer Contracts: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter25/Lesson1.html

Planned02

Schema Registries and Serialization: JSON, Avro, Protobuf, Connect Schemas, Schema Evolution, Subject Naming, Compatibility, and Consumer Contracts: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter25/Lesson2.html

Planned03

Schema Registries and Serialization: JSON, Avro, Protobuf, Connect Schemas, Schema Evolution, Subject Naming, Compatibility, and Consumer Contracts: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter25/Lesson3.html

Planned04

Schema Registries and Serialization: JSON, Avro, Protobuf, Connect Schemas, Schema Evolution, Subject Naming, Compatibility, and Consumer Contracts: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter25/Lesson4.html

Planned05

Checkpoint Lab — Schema Registries and Serialization: JSON, Avro, Protobuf, Connect Schemas, Schema Evolution, Subject Naming, Compatibility, and Consumer Contracts: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter25/Lesson5.html

Planned

26

Chapter 26

Sink Connectors and Delivery: JDBC Sink, HTTP, NATS, SNS/Cloud Destinations, Idempotency, Upserts, Deletes, Retries, DLQs, and Sink Semantics

5 lessons

01

Sink Connectors and Delivery: JDBC Sink, HTTP, NATS, SNS/Cloud Destinations, Idempotency, Upserts, Deletes, Retries, DLQs, and Sink Semantics: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter26/Lesson1.html

Planned02

Sink Connectors and Delivery: JDBC Sink, HTTP, NATS, SNS/Cloud Destinations, Idempotency, Upserts, Deletes, Retries, DLQs, and Sink Semantics: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter26/Lesson2.html

Planned03

Sink Connectors and Delivery: JDBC Sink, HTTP, NATS, SNS/Cloud Destinations, Idempotency, Upserts, Deletes, Retries, DLQs, and Sink Semantics: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter26/Lesson3.html

Planned04

Sink Connectors and Delivery: JDBC Sink, HTTP, NATS, SNS/Cloud Destinations, Idempotency, Upserts, Deletes, Retries, DLQs, and Sink Semantics: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter26/Lesson4.html

Planned05

Checkpoint Lab — Sink Connectors and Delivery: JDBC Sink, HTTP, NATS, SNS/Cloud Destinations, Idempotency, Upserts, Deletes, Retries, DLQs, and Sink Semantics: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter26/Lesson5.html

Planned

27

Chapter 27

OpenLineage and Data Governance: Source/Sink Lineage, Dataset Naming, Metadata Propagation, Operational Events, and Governance Integration

5 lessons

01

OpenLineage and Data Governance: Source/Sink Lineage, Dataset Naming, Metadata Propagation, Operational Events, and Governance Integration: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter27/Lesson1.html

Planned02

OpenLineage and Data Governance: Source/Sink Lineage, Dataset Naming, Metadata Propagation, Operational Events, and Governance Integration: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter27/Lesson2.html

Planned03

OpenLineage and Data Governance: Source/Sink Lineage, Dataset Naming, Metadata Propagation, Operational Events, and Governance Integration: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter27/Lesson3.html

Planned04

OpenLineage and Data Governance: Source/Sink Lineage, Dataset Naming, Metadata Propagation, Operational Events, and Governance Integration: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter27/Lesson4.html

Planned05

Checkpoint Lab — OpenLineage and Data Governance: Source/Sink Lineage, Dataset Naming, Metadata Propagation, Operational Events, and Governance Integration: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter27/Lesson5.html

Planned

28

Chapter 28

Observability: JMX/Micrometer Metrics, Snapshot Metrics, Streaming Lag, Queue Utilization, Errors, Quantiles, Logs, Platform Monitoring, and Alerting

5 lessons

01

Observability: JMX/Micrometer Metrics, Snapshot Metrics, Streaming Lag, Queue Utilization, Errors, Quantiles, Logs, Platform Monitoring, and Alerting: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter28/Lesson1.html

Planned02

Observability: JMX/Micrometer Metrics, Snapshot Metrics, Streaming Lag, Queue Utilization, Errors, Quantiles, Logs, Platform Monitoring, and Alerting: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter28/Lesson2.html

Planned03

Observability: JMX/Micrometer Metrics, Snapshot Metrics, Streaming Lag, Queue Utilization, Errors, Quantiles, Logs, Platform Monitoring, and Alerting: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter28/Lesson3.html

Planned04

Observability: JMX/Micrometer Metrics, Snapshot Metrics, Streaming Lag, Queue Utilization, Errors, Quantiles, Logs, Platform Monitoring, and Alerting: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter28/Lesson4.html

Planned05

Checkpoint Lab — Observability: JMX/Micrometer Metrics, Snapshot Metrics, Streaming Lag, Queue Utilization, Errors, Quantiles, Logs, Platform Monitoring, and Alerting: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter28/Lesson5.html

Planned

29

Chapter 29

Performance and Source Protection: Queue/Batch Sizes, Poll Intervals, Snapshot Fetching, Log Mining, Network Cost, Schema Caches, and Load Testing

5 lessons

01

Performance and Source Protection: Queue/Batch Sizes, Poll Intervals, Snapshot Fetching, Log Mining, Network Cost, Schema Caches, and Load Testing: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter29/Lesson1.html

Planned02

Performance and Source Protection: Queue/Batch Sizes, Poll Intervals, Snapshot Fetching, Log Mining, Network Cost, Schema Caches, and Load Testing: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter29/Lesson2.html

Planned03

Performance and Source Protection: Queue/Batch Sizes, Poll Intervals, Snapshot Fetching, Log Mining, Network Cost, Schema Caches, and Load Testing: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter29/Lesson3.html

Planned04

Performance and Source Protection: Queue/Batch Sizes, Poll Intervals, Snapshot Fetching, Log Mining, Network Cost, Schema Caches, and Load Testing: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter29/Lesson4.html

Planned05

Checkpoint Lab — Performance and Source Protection: Queue/Batch Sizes, Poll Intervals, Snapshot Fetching, Log Mining, Network Cost, Schema Caches, and Load Testing: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter29/Lesson5.html

Planned

30

Chapter 30

Security: Database Least Privilege, TLS, Kafka Security, Secrets, OAuth2 Sink Authentication, Kubernetes Secrets, Network Boundaries, and Credential Rotation

5 lessons

01

Security: Database Least Privilege, TLS, Kafka Security, Secrets, OAuth2 Sink Authentication, Kubernetes Secrets, Network Boundaries, and Credential Rotation: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter30/Lesson1.html

Planned02

Security: Database Least Privilege, TLS, Kafka Security, Secrets, OAuth2 Sink Authentication, Kubernetes Secrets, Network Boundaries, and Credential Rotation: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter30/Lesson2.html

Planned03

Security: Database Least Privilege, TLS, Kafka Security, Secrets, OAuth2 Sink Authentication, Kubernetes Secrets, Network Boundaries, and Credential Rotation: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter30/Lesson3.html

Planned04

Security: Database Least Privilege, TLS, Kafka Security, Secrets, OAuth2 Sink Authentication, Kubernetes Secrets, Network Boundaries, and Credential Rotation: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter30/Lesson4.html

Planned05

Checkpoint Lab — Security: Database Least Privilege, TLS, Kafka Security, Secrets, OAuth2 Sink Authentication, Kubernetes Secrets, Network Boundaries, and Credential Rotation: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter30/Lesson5.html

Planned

31

Chapter 31

Reliability and Disaster Recovery: Connector Restarts, Kafka/Offset Loss, Source Failover, Retention Gaps, Re-Snapshots, Duplicate Handling, and Recovery Runbooks

5 lessons

01

Reliability and Disaster Recovery: Connector Restarts, Kafka/Offset Loss, Source Failover, Retention Gaps, Re-Snapshots, Duplicate Handling, and Recovery Runbooks: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter31/Lesson1.html

Planned02

Reliability and Disaster Recovery: Connector Restarts, Kafka/Offset Loss, Source Failover, Retention Gaps, Re-Snapshots, Duplicate Handling, and Recovery Runbooks: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter31/Lesson2.html

Planned03

Reliability and Disaster Recovery: Connector Restarts, Kafka/Offset Loss, Source Failover, Retention Gaps, Re-Snapshots, Duplicate Handling, and Recovery Runbooks: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter31/Lesson3.html

Planned04

Reliability and Disaster Recovery: Connector Restarts, Kafka/Offset Loss, Source Failover, Retention Gaps, Re-Snapshots, Duplicate Handling, and Recovery Runbooks: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter31/Lesson4.html

Planned05

Checkpoint Lab — Reliability and Disaster Recovery: Connector Restarts, Kafka/Offset Loss, Source Failover, Retention Gaps, Re-Snapshots, Duplicate Handling, and Recovery Runbooks: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter31/Lesson5.html

Planned

32

Chapter 32

Upgrades and Compatibility: Debezium 2.x/3.x Migration, Kafka Compatibility, Connector Breaking Changes, Plugin Replacement, Offset Continuity, and Rollback

5 lessons

01

Upgrades and Compatibility: Debezium 2.x/3.x Migration, Kafka Compatibility, Connector Breaking Changes, Plugin Replacement, Offset Continuity, and Rollback: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter32/Lesson1.html

Planned02

Upgrades and Compatibility: Debezium 2.x/3.x Migration, Kafka Compatibility, Connector Breaking Changes, Plugin Replacement, Offset Continuity, and Rollback: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter32/Lesson2.html

Planned03

Upgrades and Compatibility: Debezium 2.x/3.x Migration, Kafka Compatibility, Connector Breaking Changes, Plugin Replacement, Offset Continuity, and Rollback: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter32/Lesson3.html

Planned04

Upgrades and Compatibility: Debezium 2.x/3.x Migration, Kafka Compatibility, Connector Breaking Changes, Plugin Replacement, Offset Continuity, and Rollback: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter32/Lesson4.html

Planned05

Checkpoint Lab — Upgrades and Compatibility: Debezium 2.x/3.x Migration, Kafka Compatibility, Connector Breaking Changes, Plugin Replacement, Offset Continuity, and Rollback: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter32/Lesson5.html

Planned

33

Chapter 33

CDC Architecture Patterns: Cache Invalidation, Search Indexing, Lakehouse Ingestion, Event-Driven Microservices, Audit Trails, CQRS, and CDC-vs-Outbox Decisions

5 lessons

01

CDC Architecture Patterns: Cache Invalidation, Search Indexing, Lakehouse Ingestion, Event-Driven Microservices, Audit Trails, CQRS, and CDC-vs-Outbox Decisions: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter33/Lesson1.html

Planned02

CDC Architecture Patterns: Cache Invalidation, Search Indexing, Lakehouse Ingestion, Event-Driven Microservices, Audit Trails, CQRS, and CDC-vs-Outbox Decisions: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter33/Lesson2.html

Planned03

CDC Architecture Patterns: Cache Invalidation, Search Indexing, Lakehouse Ingestion, Event-Driven Microservices, Audit Trails, CQRS, and CDC-vs-Outbox Decisions: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter33/Lesson3.html

Planned04

CDC Architecture Patterns: Cache Invalidation, Search Indexing, Lakehouse Ingestion, Event-Driven Microservices, Audit Trails, CQRS, and CDC-vs-Outbox Decisions: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter33/Lesson4.html

Planned05

Checkpoint Lab — CDC Architecture Patterns: Cache Invalidation, Search Indexing, Lakehouse Ingestion, Event-Driven Microservices, Audit Trails, CQRS, and CDC-vs-Outbox Decisions: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter33/Lesson5.html

Planned

34

Chapter 34

Production Capstone: Capture, Snapshot, Stream, Route, Secure, Observe, Break, Recover, Upgrade, and Validate a Debezium 3.6 CDC Platform

5 lessons

01

Production Capstone: Capture, Snapshot, Stream, Route, Secure, Observe, Break, Recover, Upgrade, and Validate a Debezium 3.6 CDC Platform: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter34/Lesson1.html

Planned02

Production Capstone: Capture, Snapshot, Stream, Route, Secure, Observe, Break, Recover, Upgrade, and Validate a Debezium 3.6 CDC Platform: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter34/Lesson2.html

Planned03

Production Capstone: Capture, Snapshot, Stream, Route, Secure, Observe, Break, Recover, Upgrade, and Validate a Debezium 3.6 CDC Platform: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter34/Lesson3.html

Planned04

Production Capstone: Capture, Snapshot, Stream, Route, Secure, Observe, Break, Recover, Upgrade, and Validate a Debezium 3.6 CDC Platform: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter34/Lesson4.html

Planned05

Checkpoint Lab — Production Capstone: Capture, Snapshot, Stream, Route, Secure, Observe, Break, Recover, Upgrade, and Validate a Debezium 3.6 CDC Platform: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter34/Lesson5.html

Planned