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Insights and engineering notes on data and AI.
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Series
Airflow 3 in Practice
13 parts
1.
Airflow 3 in Practice, Part 0: Why, and When to Use It
2.
Anatomy of Airflow 3 — Components and the Task Execution API
3.
Building an Airflow 3 Cluster — From Docker Compose to Kubernetes
4.
Airflow 3 Configuration & Performance Tuning Guide
5.
The Right Way to Author Airflow 3 DAGs
6.
Airflow 3 in Practice, Part 5: Advanced DAG Techniques
7.
Airflow 3 Scheduling & Assets — Data-Aware Pipelines
8.
Airflow 3 XCom — The Right Way to Pass Data Between Tasks
9.
Airflow 3 ⑧ External System Integration & Synchronous Calls
10.
Airflow 3 REST API & Remote Schedule Control
11.
Airflow 3 Monitoring & Operations — Logs, Metrics, and Alerts in One Place
12.
Airflow 3 Testing, CI/CD & Security in Practice
13.
Airflow 3 Production Best Practices Checklist
Spec-Driven Development with Spec Kit
8 parts
1.
[Spec Kit Part 1] Why Spec-Driven Development — Moving Beyond the Limits of Vibe Coding
2.
[Spec Kit Part 2] Getting Started with Spec Kit — From Installing the specify CLI to Wiring Up Claude Code
3.
[Spec Kit Part 3] Constitution — Imprinting Your Team's Principles on the AI
4.
[Spec Kit Part 4] Specify & Clarify — Writing the Spec and Removing Ambiguity
5.
[Spec Kit Part 5] Plan & Tasks — Technical Design and Task Breakdown
6.
[Spec Kit Part 6] Implement & Converge — Execution, Convergence, and Proving You're Done
7.
[Spec Kit Part 7] In Practice — Building a Data Quality Monitoring Service with SDD (Retrospective)
8.
What Exactly Is a Spec? — Writing Spec Kit Specs for Beginners
Kafka Disaster Recovery
4 parts
1.
[Kafka DR 1] Foundations of Kafka DR — From RPO/RTO to Topology Selection
2.
[Kafka DR 3] The Hard Part of DR — Offset Translation and Consumer Failover
3.
[Kafka DR 4] Failover & Failback Runbook — Actually Switching Over
4.
[Kafka DR 5] DR Drills and Validation — Replication Alone Isn't Enough
Kafka Performance Tuning
3 parts
1.
[Kafka Performance 1] Measure, Don't Guess — Benchmarking and Producer/Consumer Parameters
2.
[Kafka Performance 2] Brokers and Partitions — Threads, Replication, and Partition Count
3.
[Kafka Performance 3] OS, Hardware, and Combined Tuning Profiles — Throughput vs Latency vs Durability
Apache Iceberg Guide
5 parts
1.
Apache Iceberg REST Catalog Server — Specification, Implementations, and Operational Patterns
2.
Comparing Apache Iceberg Spec Versions — What V1, V2, and V3 Each Changed
3.
Apache Iceberg Whitepaper — Structure and Adoption Strategy for the Next-Generation Lakehouse Table Format
4.
Apache Iceberg Complete Guide — Everything About the Next-Gen Lakehouse Table Format
5.
Apache Iceberg Performance Tuning Guide — Pitfalls and Key Parameters
Categories
AI Agents & MCP
8
RAG & Search
6
LLM, Fine-tuning & Inference
14
AI Coding & Claude
4
Spec-Driven Development
8
PySpark & Spark
30
Trino & SQL Engines
17
Impala & Kudu
5
Iceberg & Table Formats
7
NiFi & Ingestion
5
Data Platform & Architecture
2
Cloudera & CDP
2
Kafka Concepts & Streaming
4
Kafka Troubleshooting & Ops
7
Kafka Performance
4
Kafka Disaster Recovery
5
Monitoring & Observability
6
Operations & Incidents
2
Security & Auth
1
Others
12
