Daily Digest #315 ‐ March 27, 2019

• Queueing theory: an introduction for software development
• Zeitwerk: A new code loader for Ruby
• “Going Agile”
• Canary analysis: Lessons learned and best practices from Google and Waze
• Four Startup Engineering Killers
• Data structures to name-drop when you want to sound smart in an interview
• Effective Mental Models for Code and Systems

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Daily Digest #314 ‐ March 26, 2019

• Don’t Make It Callable
• Using Packagr with poetry
• Why I, A Serverless Developer, Don’t Care About Your Containers
• Talos is a modern Linux distribution designed to be secure, immutable, and minimal.

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Daily Digest #313 ‐ March 25, 2019

• Running Kubernetes In The CI Pipeline For Integration and End-To-End Tests
• Connect Everything with NATS
• Python Packages Since 2005
• Taming the Rate of Change
• Serverless, Microservices, and Service Mesh — Oh My

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Daily Digest #312 ‐ March 22, 2019

• A continuation of devops: policy as code
• Cloud Computing Tools with Priyanka Sharma
• Redux: Scaling LaunchDarkly from 4 to 200 billion feature flags daily
• Kubernetes as an API standard
• On demand staging environments for engineering teams
• Cloud Irregular: IAM Is The Real Cloud Lock-In

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Daily Digest #311 ‐ March 21, 2019

• 3 Trends in Tracking Software Delivery
• Pandas : How to Merge Dataframes using Dataframe.merge() in Python – Part 1
• The 737Max and Why Software Engineers Might Want to Pay Attention
• QCon London 2019: Mature microservices and how to operate them
• A Reality Check About Cloud Native DevOps
• A Docker Product Manager on What the Future Holds for Containers

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Daily Digest #310 ‐ March 20, 2019

• Automated Testing for Kubernetes and Helm Charts using Terratest
• Software Estimates and Other Lies
• The Three Pillars of Product Agility — Part 1: The North Star
• What’s wrong with your value stream mapping
• Murder On The Kubernetes Express: The Life And Death Of A Docker Container

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