Co-authors: Madhumita Mantri and Tyler James At LinkedIn, ThirdEye is used for business and platform health metrics monitoring, keeping track of a variety of metrics across production infrastructure, AI model performance, or key business indicators (i.e., page view or click count). It’s a key quality assurance system for two reasons: its rule- or model-based...
monitoring Articles
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- Topics:
- artificial intelligence,
- monitoring,
- Pinot,
- machine learning,
- metrics,
- Data
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Co-authors: Yen-Jung Chang, Yang Yang, Xiaohui Sun, and Tie Wang At LinkedIn, ThirdEye is the backbone of our monitoring toolkit. We use it to keep track of a variety of metrics, whether it be related to production infrastructure and AI model performance, or business impact, such as page view or click count. It’s a key quality assurance system because it...
- Topics:
- monitoring,
- Pinot,
- metrics,
- Data
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Earlier this year, we published a blog post sharing details on ThirdEye, LinkedIn’s comprehensive platform for real-time monitoring and root cause analysis. LinkedIn relies on ThirdEye to monitor a wide spectrum of metrics, ranging from product health to high-level business metrics, and also including machine learning model performance. While monitoring is a...
- Topics:
- monitoring,
- Pinot,
- metrics,
- Data
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Co-authors: Max Wolffe and Akhilesh Gupta Introduction You can’t fix something if you don’t know there’s a problem. Measuring and...
- Topics:
- monitoring,
- realtime,
- Kafka,
- Samza
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Apache Kafka's popularity has grown tremendously over the past few years. In fact, LinkedIn's deployment recently surpassed 2 trillion...
- Topics:
- monitoring,
- Kafka,
- Open Source
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Editor's note: This blog has been updated. At LinkedIn, we have an internal tool for visualizing operational metrics that we call...
- Topics:
- monitoring,
- inGraphs