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Apache Iceberg Observability

Apache Iceberg Observability

4
posts
2026

This post details the importance and technical implementation of bidirectional Iceberg REST, a standard that enables seamless data exchange and interoperability between different systems and Snowflake. It highlights how this standard facilitates better data management, integration, and unlocks new possibilities for data collaboration and analysis by allowing external systems to interact with Iceberg tables in a standardized, efficient manner.

2026

Observe on Apache Iceberg: Unlocking Open Observability

7/30/2026

Introduces the concept and methods for achieving open observability on Apache Iceberg, detailing how to monitor its performance and usage.

Apache Iceberg Lakehouse: Snowflake & Google Cloud

7/29/2026

This post discusses the integration of Snowflake with Apache Iceberg to build a lakehouse architecture, focusing on how this combination enhances data management and analysis capabilities. It highlights the benefits of using Snowflake's platform in conjunction with Iceberg's open table format for data lakes.

Observability at Scale: Whatnot at Snowflake Summit

7/27/2026

This post provides a case study of Whatnot's experience with Apache Iceberg observability on Snowflake, detailing their specific implementation and the challenges they overcame. It expands on the general concept of Iceberg observability by showcasing a real-world application and its impact.

The Open Interoperability Standard: Why Bidirectional Iceberg REST Matters

7/15/2026

This post introduces the technical significance of bidirectional Iceberg REST for interoperability. It explains how this standard allows external systems to interact with Iceberg tables, enabling data producers and consumers to exchange data efficiently. The post emphasizes the benefits for data integration, collaboration, and analysis by providing a standardized API for Iceberg data.