Kyle Kirwan

Chief Product Officer, Bigeye

Kyle Kirwan is Bigeye’s Co-founder and Chief Product Officer. Before launching Bigeye, he worked on Uber’s data platform, where he and fellow Co-founder Egor built the systems used to power analytics and experimentation across the company. Their experience with data quality challenges at that scale inspired them to create Bigeye, a data observability platform designed to make data more trustworthy and easier to manage. Today, Kyle leads product and strategy, focused on building tools that data teams actually love to use.

Prevent data engineering burnout

The most effective data engineering teams are those who successfully shift from a toil culture— a series of manual one-off tasks, firefights, and moments of heroism—to a reliability culture with planned, repeatable, and scalable processes.

Kyle Kirwan

Product

The five most common questions we get about anomaly detection

Users often have questions about anomaly detection. We sat down with our Sales team to discuss the most frequently-occurring anomaly detection questions they get. In this blog post, we answer five of the most common.

Kyle Kirwan

Thought leadership

Data in Practice: Anomaly detection for data quality at Netflix

Netflix is the streaming service we all know and love. They deliver delivers over six petabytes of data to customers daily. This post covers some of Laura Pruitt's insights into how Netflix maintains the quality of their core dataset.

Kyle Kirwan

Thought leadership

20 questions for data observability readiness

Is your company ready to implement data observability? How will you do it? Get started by asking yourself these 20 important questions that will help you orient yourself in the data observability universe.

Kyle Kirwan

Thought leadership

Data Practitioner Spotlight: Laura Dawson of EDO on data taxonomies

In the "Data Practitioner Spotlight" series, we interview data practitioners from the field. In this conversation, we dive deep into data taxonomies and using ad data to make better decisions with Laura Dawson of EDO.

Kyle Kirwan

Thought leadership

The onion, the carrot, and the “alert budget”

When you introduce a data observability product to your stack, be thoughtful about how you choose to roll it out. The rollout will impact how your team’s attention is directed, and therefore how your budget is allocated.

Kyle Kirwan