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14 resultsObservability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Apache Kafka — Core Concepts and When to Use It
Topics, partitions, consumer groups, and the use cases where Kafka excels.
Schema Registry and Avro for Kafka Data Contracts
Why schema management matters for streaming pipelines and how to implement it.
Secrets Management for Data Platforms
HashiCorp Vault, AWS Secrets Manager, and patterns for rotating credentials safely.
Data Mesh — Principles and Practical Implementation
Domain ownership, data products, self-serve infrastructure, and federated governance.
Change Data Capture (CDC) — Debezium and Log-Based CDC
How CDC works, why it beats polling, and how to implement it with Debezium.
Event-Driven Data Architecture Patterns
Event sourcing, CQRS, outbox pattern, and when event-driven beats request/response.
Monitoring and Alerting for Data Pipelines
What to monitor, SLIs/SLOs for data, and building effective alerting.
Designing a Reliable Webhook System
Delivery guarantees, signature verification, retry logic, and consumer best practices.
Building a Data Catalog with DataHub
Ingestion, metadata, search, and making your catalog actually useful.
Data Contracts — Formalising Agreements Between Producers and Consumers
Schema, SLAs, semantics, and how to enforce data contracts in practice.
Message Queue Patterns — SQS, RabbitMQ, and Dead Letter Queues
Fan-out, work queues, priority queues, and poison message handling.
Microservices Communication — Sync vs Async Patterns
REST, gRPC, message queues, and choosing the right pattern for each interaction.
API Testing Strategy — Unit, Integration, Contract, and E2E
Building a test pyramid that catches real bugs without slowing delivery.