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Monitoring business performance data with ThirdEye smart alerts

· One min read
LinkedIn
LinkedIn Engineering Team

Explain how ThirdEye smart alerts and automated dashboards helped the LinkedIn Premium business operations team monitor key metrics—such as new free trial signups—for the timely detection of outliers in business performance data.

Read More at https://engineering.linkedin.com/blog/2020/monitoring-business-performance-data-with-thirdeye-smart-alerts

Monitoring business performance data with ThirdEye smart alerts

Using Apache Pinot and Kafka to Analyze GitHub Events

· One min read
Kenny Bastani
Kenny Bastani

In this blog post, we’ll show you how Pinot and Kafka can be used together to ingest, query, and visualize event streams sourced from the public GitHub API. For the step-by-step instructions, please visit our documentation, which will guide you through the specifics of running this example in your development environment.

Read More at https://medium.com/apache-pinot-developer-blog/using-apache-pinot-and-kafka-to-analyze-github-events-93cdcb57d5f7

Using Apache Pinot and Kafka to Analyze GitHub Events

Engineering SQL Support on Apache Pinot at Uber

· One min read
Uber
Uber Data Team

Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform.

To resolve these issues, we built a solution that linked Presto, a query engine that supports full ANSI SQL, and Pinot, a real-time OLAP (online analytical processing) datastore. This married solution allows users to write ad-hoc SQL queries, empowering teams to unlock significant analysis capabilities.

Read More at https://eng.uber.com/engineering-sql-support-on-apache-pinot/

SQL Support on Apache Pinot at Uber

Introducing ThirdEye - LinkedIn’s Business-Wide Monitoring Platform

· One min read
LinkedIn
LinkedIn Engineering Team

ThirdEye is a comprehensive platform for real-time monitoring of metrics that covers a wide variety of use-cases. LinkedIn relies on ThirdEye to monitor site performance, track member growth, understand adoption of new features, flag sustained attempts to circumvent system security, and many other areas

Read More at https://engineering.linkedin.com/blog/2019/01/introducing-thirdeye--linkedins-business-wide-monitoring-platfor

Star-tree index - Powering fast aggregations on Pinot

Engineering Restaurant Manager - UberEATS Analytics Dashboard

· One min read
Uber
Uber Data Team

At Uber, we use data analytics to architect more magical user experiences across our products. Whenever possible, we harness these data engineering capabilities to empower our partners to better serve their customers. For instance, in late 2016, the UberEATS engineering team built a comprehensive analytics dashboard that provides restaurant partners with additional insights about the health of their business.

Read More at https://eng.uber.com/restaurant-manager/

Engineering Restaurant Manager - UberEATS Analytics Dashboard

A Brief History of Scaling LinkedIn

· One min read
LinkedIn
LinkedIn Engineering Team

LinkedIn started in 2003 with the goal of connecting to your network for better job opportunities. It had only 2,700 members the first week. Fast forward many years, and LinkedIn’s product portfolio, member base, and server load has grown tremendously.

Today, LinkedIn operates globally with more than 350 million members. We serve tens of thousands of web pages every second of every day. We've hit our mobile moment where mobile accounts for more than 50 percent of all global traffic. All those requests are fetching data from our backend systems, which in turn handle millions of queries per second.

Read More at https://engineering.linkedin.com/architecture/brief-history-scaling-linkedin

A Brief History of Scaling LinkedIn