Software Engineering Daily


Technical interviews about software topics.

Popular episodes

Stack Overflow for Teams: A Centralized Knowledge Sharing and Collaboration Platform with Tom Limoncelli

Jul 22 • 39:24

If you’ve ever googled a CS or programming question, you likely found an answer (or many) on Stack Overflow. Founded in 2008 and named after a common computing error, Stack Overflow empowers the world to develop technology through collective knowledge. More than 100 million people visit Stack Overflow every month making it one of the 50 most-visited websites in the world. ...

Sust Global: Taking Action Against Climate Change with Josh Gilbert

Jul 20 • 45:56

Governments, consumers, and companies across the world are becoming more aware and attentive to the risks and causes of climate change. From recycling to using solar power, people are looking for ways to reduce their carbon footprint. Markets like the financial sector, governments, and consulting are looking for ways to understand climate data to make smart decisions and m...

Imply Infra: Big Data Analysis and Real-World Examples with Jad Naous

Jul 19 • 38:23

Big data analytics is the process of collecting data, processing and cleaning it, then analyzing it with techniques like data mining, predictive analytics, and deep learning. This process requires a suite of tools to operate efficiently. Data analytics can save companies money, drive product development, and give insight into the market and customers.

The company Imply prov...

How to Convince Ashmeet Sidana to Invest in Your Business

Jul 18 • 55:23

Better Stack: A New DevOps Experience with Juraj Masar

Jul 15 • 45:21

DevOps has shortened the development life cycle for countless applications and is embraced by companies around the world. But managing and monitoring multiple environments is still a major pain point, particularly when companies need to mix cloud and legacy systems. Knowing when services go down and quickly pinpointing the cause is essential for continuous development. 


Data Science on AWS: Implementing AI and ML Pipelines on AWS with Chris Fregly

Jul 14 • 47:03

Data science is an interdisciplinary field that combines strong technical skills with industry knowledge to perform a large range of jobs. Data scientists solve business questions with hands-on work cleaning and analyzing data, building machine learning models and applying algorithms, and generating dynamic visuals and tools to understand the world from the data it generat...

(Full Audiobook) Move Fast: How Facebook Builds Software

Jul 11 • 03:41:35

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