Iris Programming Tutorials & Engineering Articles

The article discusses the introduction of the Data Science Agent in Google Colab, powered by Gemini, which automates the creation of data analysis notebooks.

The article discusses the importance of data-driven attribution in understanding customer journeys and optimizing marketing strategies.

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 Journey Platform is a low-code tool developed by Airbnb that enables users to create interactive user workflows for notifications.

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.

This article provides a comprehensive guide on deploying machine learning models on Google Cloud Platform (GCP).

This article focuses on the practical aspects of building and training a machine learning (ML) model using Python, specifically utilizing the Iris Dataset.

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.

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.

This article provides a retrospective on Pinterest's experience building a Progressive Web App (PWA), highlighting the motivations, implementation process, and the significant improvements in user ...

The article discusses the migration of Facebook Messenger's storage system to enhance performance, reliability, and scalability.

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.

The article discusses the open-sourcing of Iris and Oncall, two systems developed by LinkedIn to enhance incident management and escalation processes.

Iris Automation, a Vancouver-based startup, has developed AI technology that enables drones to sense and avoid obstacles, raising $1. 5M to enhance industrial drone capabilities.

The article introduces FBLearner Flow, Facebook's machine learning platform designed to simplify and enhance the experimentation process for engineers.

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 ...

The @Scale 2014 conference's Data track focused on the challenges of building scalable data processing systems for applications serving hundreds of millions of users.

The article discusses the transformation of Facebook Messenger's infrastructure to a mobile-first approach, focusing on optimizing data synchronization and reducing data usage.