UKI Google Cloud Next Developer Day 22: Google Cloud Sustainable Development Principles | C2C Community

UKI Google Cloud Next Developer Day 22: Google Cloud Sustainable Development Principles

  • 24 October 2022
  • 3 replies
  • 28 views

Userlevel 7
Badge +17

 

The UKI Google Cloud Next 22 event at Wembly Studium London was fantastic.
John Abel, Technical Director, Office of the CTO a Google Cloud great speaker, makes it unique in explaining Sustainable Development Principles for developers and Engineers.

He shifted the developer and engineer's daily tech practise from thinking about how they can help save the world to practising Google Cloud sustainable development principles.

During his presentation, he emphasised Google Cloud Sustainable Development feathers and developer cut off their additional device uses:

John primarily focuses on the following points.

 

  • What is Sustainable Development Principles?
  • Software Developer & Engineer Consideration
  • Sustainable Development Lifecycle
  • Conclusion Google Cloud

 

Google Cloud focus on Carbon Free Energy (CFE)

 

Use less energy

 

Take advantage of Al-optimized, efficient data centers and better utilization. 

Google data centers are twice as energy efficient as a typical enterprise data center and compared to 5 years ago Google Cloud deliver 7x the compute power for the same amount of electricity.

Zero net operational emissions

Meet your public sustainability commitments and reduce the environmental impact of IT operations.

Google has neutralized all legacy emissions since 1998 and matched 100% of electricity use with renewable energy since 2017, including the electricity that powers your workloads.

Carbon-free energy by 2030

First company to set the goal to completely decarbonize electricity By 2030, Google Cloud aim to run on 24/7 carbon-free energy at all their data centers, around the clock.

 

Sustainable Development Principles

  •  Reducing Carbon Emissions
  • Use Techniques and Tools to identify positive impact
  • Aligned to development lifecycle Google Cloud

Developer Ergonomics

 

Everyone is aware that we use additional computer monitors or computers in our offices and homes on a daily basis. It is sometimes unnecessary. Even in most offices, the computer runs continuously, which is completely unnecessary. He explains how we can stop carbon emissions and summarises the following points.

  • Laptop 20-50w vs desktop 80-150w
  • Use it or snooze it
  • Wide Screen vs Multi-Screen all down to CO2 emissions (lifetime CO2 can exceed 1000 kg of CO2 Emissions)
  • Know your data, embodied carbon can be up to 80% of the lifetime carbon emissions
  • Communication style balance chat, email and video or just speak in person
  • Use Cloud Workstation to pick low CO2 region for developing Google Cloud

 

Plan Sustainably

 

• Check CFE, by regional carbon

 

https://cloud.google.com/sustainability/region-carbon

Restricting Resource Locations

https://cloud.google.com/resource-manager/docs/organization-policy/defining-locations-supported-services

Carbon free energy for Google Cloud regions

• Google Cloud Best Practice Reduce your Google Cloud carbon footprint

https://cloud.google.com/architecture/reduce-carbon-footprint

 

 

Design Sustainably

 

  • Set sustainability budget, similar to SRE error budget
  • Responsible Al Practice : 
  1. Sparse model vs dense model
  2. Use Optimized Processors for ML like TPU
  3. Use Cloud Computing energy costs reduction by a factor 1.4-2
  4. Pick the cleanest energy regions reducing CO2 emission by factor 5-10

Building responsible Al for everyone

 

Google Cloud are working to develop artificial Inteligence responsibly in order to benefit people and society: Check the Al practices Google Cloud - https://oi.google/responsibilities/responsible

 

Develop Sustainably

 

 

  • Consider Data Mesh/Data ASA Product to reduce copies of data
  • Reduce custom code by upto 70% with Vertex AL Vertex Al
  • Reduce idle resources by considering Cloud Run
  • Build delay and scala maching managed M.Tools for any u se else Cloud Run
  • Code execution style using tools (e.g. Pyflakes, trace.py or Pylint)
  • Bad and placed ovaalne including a Phort Java NET duy on managed
  • Balancing the use of lower level languages like C vs interpreter Languages like Python

Extra Credit:

Check the following C2C community member's post :

 

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3 replies

Userlevel 7
Badge +58

WOW

You were there @malamin?

Can you share more with us?

How many people were there?

What were the topics that came up during the networking?

Did you like the event?

Do you think we can improve some things at our in-person events?

Userlevel 7
Badge +17

Hello @ilias ,

Thank you very much.

It was my good luck I was there and learned a lot from excellent speakers and meet expert people.

 

Can you share more with us?

-I made the decision to post here about  on the event individual session .

How many people were there?

The two big hall rooms were filled with more than a thousand people, who joined this event and made it great, and the speakers brought it extra ordinary and unique.

What were the topics that came up during the networking?

BigQuery, Pub-sub, Vertex AI, Modern application development, Google cloud security shield, SRE technique  and C2C. Also, I will write individual post here about this.

Did you like the event?

I liked this event.

Do you think we can improve some things at our in-person events?

I'd like to learn more about how Google Cloud is being used in the real world to solve problems in sectors like L'Oreal, DOIT, retail, and banking.

 

Also,  I meet Googlers and customers.  I spoke with them and inspired to join C2C.

 

Here is some picture I shared below for you:

 

 

 

Userlevel 7
Badge +58

Great pictures @malamin 

Thanks for sharing your feedback!

😀

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