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Alex Guziel

Alex Guziel is a Software Engineer at Tecton on the compute team, where he focuses on everything concerning Spark and Snowflake compute and orchestration. Prior to joining Tecton, Alex was a Software Engineer at Airbnb where he worked primarily on the data infrastructure team, with a focus on Apache Airflow reliability, Hadoop cluster management, and data compliance. He is an Apache Airflow Project Management Committee member and holds a Bachelor’s Degree in Computer Science from Cornell University.

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The Importance of Canary Testing to Ensure Feature Correctness

August 23, 2022
Alex Guziel Yoni Michael

Learn how Tecton’s canary process was designed to keep Tecton’s feature platform reliable, stable, and scalable.

Engineering

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Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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or

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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button