Petabyte-scale observability? Here’s how OpenAI does it
Mark Needham
In this video, we explore the reasons why OpenAI chose ClickHouse for its massive-scale observability needs. While most people don't handle petabytes of data daily, the challenges of efficient data management and real-time troubleshooting are universal. We'll explore how ClickHouse's features address these pain points, making it a powerful solution for organizations of all sizes.
Key points covered:
- SQL compatibility and its impact on accessibility and data analysis
- Cloud-native architecture and horizontal scalability
- Flexible indexing for maintaining query performance at scale
- The advantages of open-source technology in production environments
- ClickHouse's proven track record among industry leaders
This video breaks down complex concepts into practical insights, helping you understand why ClickHouse might be the right choice for your observability stack, regardless of your current data volume.
Blog post - https://clickhouse.com/blog/why-openai-uses-clickhouse-for-petabyte-scale-observability
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