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Software Engineering - The Soft Parts

Addy Osmani

Today I will share some of the software engineering soft skills I have learned from my first 10 years on Google Chrome, where I am a Senior Staff Engineering Manager

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SRE vs DevOps: What you need to know

Dynatrace

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is best thought of as a practical approach to speeding up new software development and delivery.

DevOps 268
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Software Engineering Insights From 10 Years At Google

Addy Osmani

Lessons learned from 10 years at Google

Google 95
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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. ICSE’19. Today it’s the turn of Microsoft.

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Site reliability engineering: 5 things you need to know

Dynatrace

What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE bridges the gap between Dev and Ops teams.

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Site reliability engineering: 5 things to you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

Data Productivity at Scale Recording Speaker : Iaroslav Zeigerman (Co-Founder and Chief Architect at Tobiko Data) Summary : The development and evolution of data pipelines are hindered by outdated tooling compared to software development. Until next time!