Lessons learned and best practices in data science and DevOps.

• All
• AI
• Application
• Data Application
• Data Science
• Dev Ex (Developer Experience)
• DevEx (Developer Experience)
• DevOps
• Infrastructure
• Internship Highlights
• Search and Match

• • Application

  Deployment Strategies in K8s using Argo rollout (and how to benefit from it)

  Overview In the world of so...

• • DevEx (Developer Experience)

  The Secret Sauce for Making Your Developers Happier

  Welcome into the world of engineering productivity, back in the day, our rapidly growing compan...

• 

  • Application

  Game Day Testing

  1. Background  High availability is a commitment...

• 

  • Data Science

  Streamlining Data Science: Navigating Experimentation Challenges with Tracking Tools

  Experimentation is a key component of the data science workflow, encompassing everything from m...

• 

  • DevEx (Developer Experience)
  • DevOps

  How Zoominfo is making a Quantum Leap in Infrastructure Operations by employing an Internal Developer Platform

  Abstract Zoominfo has embarked on a transformative jo...

• 

  • Application

  GCP DataFlow – Advanced Topics: Part II

  Using Testing Mocking framework for dataflow tests: Background One of my first projects at Zoominfo was t...

• 

  • Application

  GCP DataFlow – Advanced Topics: Part I

  In ZoomInfo, we analyze and ingest big quantities of data through different pipelines and with ...

• 

  • Application
  • Data Application

  Designing a Serverless, Cost-Efficient Tool for Data Traceability

  What is it for? The accuracy and integrity of company...

• 

  • Infrastructure

  Creating a custom disable mechanism for GCS

  Intro With the breakneck pace of cloud computing, a g...

• 

  • Internship Highlights

  Building an AutoML SDK to Enhance Data Science Capabilities

  Transforming Futures: Our Successful Internship Program Problem Statement In the fast-paced world of digital ...