How LinkedIn Uses Iris
12 engineering articles about Iris from LinkedIn's engineering team
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The article discusses the importance of data-driven attribution in understanding customer journeys and optimizing marketing strategies.
John Bencina
15 min read
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The article discusses the open-sourcing of the iris-message-processor, a tool developed at LinkedIn to enhance incident management and message processing.
The article discusses Metal as a Service (MaaS), an internal tool developed by LinkedIn to manage server lifecycles at scale.
The article discusses how LinkedIn scaled its Salt infrastructure to support its growing needs for remote execution jobs, achieving a tenfold increase in job capacity and improved reliability.
The article discusses the implementation of Operating System Snapshot Automation (OSSA) at LinkedIn, detailing the challenges faced with manual processes and the transition to an automated system.
The article discusses the implementation of spike detection in Alert Correlation at LinkedIn, aimed at improving incident response times and reducing false positives in alert systems.
Nishant Singh
10 min read
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The article discusses the implementation of Smart Alerts in ThirdEye, LinkedIn's real-time monitoring platform, focusing on the challenges of setting up effective alerts for diverse metrics.
The article discusses the release of Iris mobile, an open-source mobile interface for incident management developed by LinkedIn.
The article discusses the evolution of incremental data capture for Oracle databases at LinkedIn, highlighting the transition from a batch processing model to a near-real-time system.
The article discusses the engineering challenges and solutions involved in scaling contextual conversation suggestions for LinkedIn's messaging platform, which serves over 500 million members.
Haiyang Liu
13 min read
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The article discusses the open-sourcing of Iris and Oncall, two systems developed by LinkedIn to enhance incident management and escalation processes.
The article discusses LinkedIn's 3x3 philosophy aimed at optimizing iOS build speed and stability, detailing the challenges faced and the solutions implemented to achieve a rapid commit-to-publish ...
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