Interesting links - January 2026
A monthly tech newsletter featuring curated links on data engineering, AI, Kafka, and industry trends for 2025/2026.
A monthly tech newsletter featuring curated links on data engineering, AI, Kafka, and industry trends for 2025/2026.
A curated collection of articles on software architecture, AI tools, code quality, and developer psychology, exploring foundational concepts and modern challenges.
A monthly tech link roundup focusing on Kafka, event streaming, and data engineering, including personal news about company acquisitions.
A monthly tech link roundup covering AI agents, Kafka, Flink, LLMs, conference tips, and commentary on tech publishing trends.
A technical walkthrough of building a real-time conference demo using Kafka, Flink, and LLMs to summarize live audience observations.
Argues against the common advice to replace Kafka with Postgres, explaining they are different tools for different problems.
Argues against oversimplified advice to replace Kafka with Postgres, explaining they are different tools for different problems.
Explores methods for ingesting Debezium CDC events from Kafka into Apache Flink using different SQL connectors and data formats.
A former Debezium lead argues that Change Data Capture (CDC) is a feature within larger data platforms, not a standalone product.
A technical guide on configuring a data pipeline from Kafka to Elasticsearch using Logstash, including Docker setup and configuration examples.
Explores strategies for handling Kafka producer failures, focusing on trade-offs between consistency and availability in messaging systems.
Explores strategies for handling Kafka message delivery failures in applications, discussing trade-offs between consistency and availability.
A guide to implementing reliable Apache Kafka producers and consumers in .NET, covering delivery models and idempotency.
An analysis of current trends in the Apache Kafka ecosystem, focusing on connector growth, self-service data pipelines, and stream processing adoption.
An analysis of key trends in the Apache Kafka ecosystem, including connector growth, self-service data pipelines, and stream processing adoption.
A software engineering intern shares key lessons learned during their summer internship at ASAPP, including project management and teamwork.
A step-by-step tutorial on implementing a Kafka Pub/Sub system using Docker and .NET Core, including code examples.
A technical guide on building a real-time Twitter sentiment and hashtag analysis system using Kafka, Storm, and Cassandra.