Sam Guckenheimer - Moving to One Engineering System

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This is the story of transforming Microsoft to One Engineering System with a globally distributed 24x7x365 service on the public cloud. We’ll show you round the system that handles the load of some of the most demanding engineering teams in the world and share some stories about how they got there.

Software

Microsoft Org Chart ~2011
Unintended
consequence:
No reuse
would go
unpunished.

There cannot be a more important thing for
an engineer, for a product team, than to
work on the systems that drive our
productivity.
So I would, any day of the week, trade off
features for our own productivity.
I want our best engineers to work on our
engineering systems, so that we can later
on come back and build all of the new
concepts we want.
4
Purpose of One Engineering System

An engineering north star…
…the source across the company is available to anyone
…any dev can offer improvements to anything in the company
…the IP the company has built up over the years is made of re-usable components
…anybody can find and potentially re-use components from anywhere else
…devs are rewarded for creating popular components
…there is zero lag from when a dev makes a change & when the rest of the company sees it
… build and test time is directly proportional to the change made
…devs can move to another team and already know how to work

0
50
100
150
200
250
300
VSTS
3GB
Linux
0.6GB
Windows
270GB
57k files
1.7GB initial pack file
5.5MB index file
110k files
8GB initial pack file
16MB index file
500 users
3.5M files
86GB initial pack file
400MB index file
4k users
Git repo sizes

Git experience on Windows repo (with GVFS on TFS)
Git GVFS
Improve
ment
clone 12hrs 2.5mins 288x
checkout 3hrs 30secs 360x
status 8mins 2.3sec 209x
commit 30mins 6.9secs 261x

Live Site Culture and Engineering
Live Site Health
Time to Detect
Time to Communicate
Time To Mitigate
Customer Impact
Incident prevention items
Aging live site problems
Customer support metrics
SLA per customer account
(SLA, MPI, top drivers)
Engineering
Bug cap per engineer
Aging bugs in important
categories
Pass rate & coverage by
test level
Velocity
Time to build
Time to self test
Time to deploy
Time to learn
(Telemetry pipe)
Usage
Acquisition
Engagement
Dedication
Churn
Feature usage

Common
Telemetry
Pipeline
Combines
high volume ingestion
fast queries over very
large data sets
text search structured
and unstructured data

Self-forming teams
https://aka.ms/SelfFormingTeams

Is 1ES Working?
4x active user growth in 2 years to 75,000

Sam Guckenheimer - Moving to One Engineering System

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WSO2CON 2024 - Does Open Source Still Matter?

WSO2

Modeling languages are generally applied for developing systems and software – both internally, with domain-specific languages, and with standardized languages targeting a general purpose and a wide audience. Way too often these languages are weakly created and defined leading to poor quality: Language definitions tend to contain errors and inconsistencies; notations do not recognize the communication and problem-solving needs of humans; standardization organizations push exchange formats that do not fully work and offer certificates that do not measure mastery of the language. We describe common problems in language development and point them out with examples from known cases. To overcome these problems, we suggest several solutions to improve language development, including using modeling languages specifically designed to define modeling languages, continuous testing and prototyping, and keeping language users in the loop.

What Goes Wrong with Language Definitions and How to Improve the Situation

Juha-Pekka Tolvanen

MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...

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WSO2CON 2024 Slides - Open Source to SaaS

WSO2

Devoxx UK 2024 - Going serverless with Quarkus, GraalVM native images and AWS...

Bert Jan Schrijver

WSO2CON 2024 - WSO2's Digital Transformation Journey with Choreo: A Platforml...

WSO2

WSO2CON 2024 - Navigating API Complexity: REST, GraphQL, gRPC, Websocket, Web...

WSO2

WSO2CON 2024 - API Management Usage at La Poste and Its Impact on Business an...

WSO2

Artyushina_Guest lecture_YorkU CS May 2024.pptx

AnnaArtyushina1

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Sam Guckenheimer - Moving to One Engineering System

2. About Me Sam Guckenheimer Product Owner, Visual Studio Cloud Services 14 years Microsoft 30 years software industry @SamGuckenheimer https://visualstudio.com/devops

3. Microsoft Org Chart ~2011 Unintended consequence: No reuse would go unpunished.

4. There cannot be a more important thing for an engineer, for a product team, than to work on the systems that drive our productivity. So I would, any day of the week, trade off features for our own productivity. I want our best engineers to work on our engineering systems, so that we can later on come back and build all of the new concepts we want. 4 Purpose of One Engineering System

5. An engineering north star… …the source across the company is available to anyone …any dev can offer improvements to anything in the company …the IP the company has built up over the years is made of re-usable components …anybody can find and potentially re-use components from anywhere else …devs are rewarded for creating popular components …there is zero lag from when a dev makes a change & when the rest of the company sees it … build and test time is directly proportional to the change made …devs can move to another team and already know how to work

6. Demo

7. 0 50 100 150 200 250 300 VSTS 3GB Linux 0.6GB Windows 270GB 57k files 1.7GB initial pack file 5.5MB index file 110k files 8GB initial pack file 16MB index file 500 users 3.5M files 86GB initial pack file 400MB index file 4k users Git repo sizes

8. Git experience on Windows repo (with GVFS on TFS) Git GVFS Improve ment clone 12hrs 2.5mins 288x checkout 3hrs 30secs 360x status 8mins 2.3sec 209x commit 30mins 6.9secs 261x

9. Live Site Culture and Engineering Live Site Health Time to Detect Time to Communicate Time To Mitigate Customer Impact Incident prevention items Aging live site problems Customer support metrics SLA per customer account (SLA, MPI, top drivers) Engineering Bug cap per engineer Aging bugs in important categories Pass rate & coverage by test level Velocity Time to build Time to self test Time to deploy Time to learn (Telemetry pipe) Usage Acquisition Engagement Dedication Churn Feature usage

10. Common Telemetry Pipeline Combines high volume ingestion fast queries over very large data sets text search structured and unstructured data

11. We Create Transparency

12. Is It Working?

13. Self-forming teams https://aka.ms/SelfFormingTeams

14. Engineering System – 1ES Day

15. Is 1ES Working? 4x active user growth in 2 years to 75,000

Notas do Editor

Transition to Git Motivation for Why Git @ Microsoft Learnings from Adopting Git Contribute to Open Source Git Issues with Us Internally - We have some long lived code bases They don’t neatly factor themselves into small repositories (like microservices) How many of you would like to clone the Windows Git repo to your laptop? Troubleshooting Daughter’s Internet Access (Sam) Sequential Migration and Refactor Code Bases First iteration of solving this problem was Git LFS, didn’t work, we contributed/participant to the community Why did Git LFS not work for us at least? (Too slow) New: Git Virtual File System - lazy loading Build at Scale - Something similar to Electric Cloud (slack of the datacenters) Using Git, Allows us to take advantage of the Pull Request Workflow including branch policies (supports org scale)
Segue: Takes us back to Team Dashboard (example of team autonomy and enterprise alignment) Kanban Board - Expedite Lanes lets you handle live site issues One thing live site culture requires is that it requires us to be on the same telemetry pipeline. Azure and services built-on Azure Where is the problem?
(opening the Service Insights dashboard) Hot, warm, and cold paths Hot - optimized for speed Warm - optimized for troubleshooting (data doesn’t need to be kept a long time) Cold - business analysis (long running) Availability
Root Cause Analysis from our VP Support Site with Live Status (and updates)
Valuable, I saw really vibrant community, great involvement from all our teams. Helped moved the needle on perception. Next one is Feb 2018

Sam Guckenheimer - Moving to One Engineering System

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Notas do Editor