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3 out of 4 developers will lead with sustainability as their primary development principle. This is one of the Top 10
Predictions from Google Cloud Next 22.

If you are new to sustainability and want to get started, I highly recommend you take the free foundation course :
Green Software for Practitioners from Green Software Foundation

This course provides a framework to educate software practitioners on topics related to green software. Learners will explore green principles, understand and use shared language and standardized terms, and apply green software principles to the design and development of their software applications.

Link to the course - https://lnkd.in/d-FvJdbs

Reference to Google Cloud Top 10 prediction -
https://lnkd.in/d3PfUjms

If you are new to cloud computing and want to build foundational skills in cloud computing and Google Cloud, I have created a roadmap on a practical way to get started and be productive.

This infographic is targeted toward students and software partitioners who want to build a career in cloud computing. These 30 session has concepts that span 5-10 minutes and Labs which spans between 15-30 mins.

You can enroll for the following free courses at

Getting Started with Cloud Computing
https://lnkd.in/d2_pCaSr

Getting Started with Google Cloud – Fundamentals
https://lnkd.in/dp4qHN9B

Getting Started with Google Cloud – Advanced Course – Kubernetes, Serverless, API Gateway and Security
https://lnkd.in/d-9mUzT5

Google Cloud Production Lab – Architecture and End-2-End Deployment
https://lnkd.in/dZd__G7P

Worldwide end-user spending on public cloud services is forecast to grow 20.7% to a total $591.8 billion in 2023,
up from $490.3 billion in 2022. This is higher than the 18.8% growth forecast for 2022. (Source: Gartner)

Out of the above spend, what do you think would be the -

• Cost of cloud resources that would remain idle?
• How much cost can be saved from cloud resources optimization?
• What impact does it have on sustainability?

As per the Google Cloud report in Feb 2022, they analyzed the aggregate data from all customers across Google Cloud and
found over 600,000 gross kgCO2e in seemingly idle projects that could be cleaned up or reclaimed —
which would have a similar impact to planting almost 10,000 trees. This is data from one provider,
only for idle projects. I could not find any public data for cloud optimization, but it would be quite significant.

As migration, development and deploying applications on the cloud continue to increase, we need to embed sustainability
while designing and deploying cloud applications, to lower the carbon footprint of the software applications. This not only lowers your cost bills, but also makes your application energy efficent.

Checkout my previous blog - https://lnkd.in/dTCAdq5J
on one of the approaches to deliver sustainability goals on cloud and reduce your cost spends.

#cloud #learning #sustainability #finops Green Software Foundation

If you are new to cloud computing and want to build foundational skills in cloud computing and Google Cloud, I have created a roadmap on a practical way to get started and be productive.

This infographic is targeted toward students and software partitioners who want to build a career in cloud computing. These 30 session has concepts that span 5-10 minutes and Labs which spans between 15-30 mins.

You can enroll for the following free courses at

Getting Started with Cloud Computing
https://lnkd.in/d2_pCaSr

Getting Started with Google Cloud – Fundamentals
https://lnkd.in/dp4qHN9B

Getting Started with Google Cloud – Advanced Course – Kubernetes, Serverless, API Gateway and Security
https://lnkd.in/d-9mUzT5

Google Cloud Production Lab – Architecture and End-2-End Deployment
https://lnkd.in/dZd__G7P

#cloud #learning #linkedin #googlecloud Google Cloud

Enroll for this free course on how to migrate to AWS Cloud

https://lnkd.in/dmG7qx3H

Begin your Google Cloud journey with this free Fundamental course.

Link - https://lnkd.in/dp4qHN9B

Happy to share the launch of the paperback copy of my book - “Getting started with Cloud Computing and Google Cloud: A Definitive Handbook”.

The intent of this book is to provide practical guidance on how to get started with cloud computing and Google Cloud and be productive in the shortest possible timeframe.

This book is targeted toward #students and software partitioners who are looking to start their cloud journey.

The book is available worldwide from Amazon - https://amzn.to/3WUH1Ip

Following is the Table of Contents for the Book

Session 1 : What Is Cloud Computing
Benefits of Cloud Computing
Session 2 : Why Does Not All Business Run On Cloud
Session 3 : Types Of Cloud Computing
Session 4: What Is Virtualization
Session 5: What Are Containers
Session 6: Difference Between Container And Virtual Machine
Session 7: What Is A Cloud Platform
Session 8: Types Of Cloud Environments
Session 10: Typical Cloud Development Lifecycle
Session 11: Google Cloud Fundamentals: Data Center, Project And Access Controls
Session 12: Labs Overview And Guidelines
Session 13: Lab : Google Cloud Project, Roles And Access
Session 14: Google Cloud Fundamentals: Virtual Private Cloud And Firewalls
Session 15: Lab: Google VPC
Session 16: Network Address Translation And Google Cloud NAT
Session 17: What Is Virtual Machine And Google Compute Engine
Session 18: Types And Classes Of Google Cloud VM
Session 19: What Is VM Instance Group
Session 20: What Is A Low Carbon Region For VM
Session 21: Lab - Google Cloud VM
Session 22: What Are Managed Services
Session 23: Google Cloud Managed Databases
Session 24: Lab - Cloud SQL
Session 25: What Is Container Managed Service
Session 26: What Is Google Kubernetes Engine
Session 27: What Is Google Kubernetes Engine Autopilot
Session 28: What Is Serverless Technology
Session 29: Google Cloud Serverless Technology
Session 30: Lab - Cloud Run
Session 31: API Gateway And Google Cloud Endpoints
Session 32: Cloud Security And Google Cloud Armor
Session 33: Lab - Production Lab Architecture And Application Overview
Session 34: Lab - Production Lab End To End Deployment And Execution
What’s Next

The release of ChatGPT and the responses it provided brought back the Conversation AI to the forefront and made Conversation AI available to everyone through a simple web interface. We saw many creative ways to use ChatGPT and how it might impact the future and questions around whether it will replace the Google Search engine and Jobs.

Well, let’s address this question with the below analysis –

From early Watson systems to ChatGPT, a fundamental issue still remains with Conversational AI.

Lack of Domain Intelligence.

While ChatGPT definitely advances in the field of Conversational AI, I like to call out the following from my book- Real AI: Chatbots (published in 2019)

AI can learn but can’t think“.

Thinking would always be left to humans on how to use the output of an AI system. AI systems and their knowledge will always be boxed to what it has learned but can never be generalized (like humans) where domain expertise and intelligence are required.

Read my views on ChatGPT and the lack of domain intelligence and explainability by the Conversation AI agents on my blog -
https://lnkd.in/dWngD3dH

What is Cloud Native technology? Here is a short 30 seconds video explaining the concept.

Do subscribe to my channel - https://lnkd.in/eQnQACE and Newsletter https://lnkd.in/dSX8BNk6 for regular updates on #cloud #ai #exponentialtech

The release of ChatGPT and the responses it provided brought back the Conversation AI to the forefront and made Conversation AI available to everyone through a simple web interface. We saw many creative ways to use ChatGPT and how it might impact the future and questions around whether it will replace the Google Search engine and Jobs.

Well, let’s address this question with the below analysis –

From early Watson systems to ChatGPT, a fundamental issue still remains with Conversational AI.

Lack of Domain Intelligence.

While ChatGPT definitely advances in the field of Conversational AI, I like to call out the following from my book- Real AI: Chatbots (published in 2019)

AI can learn but can’t think“.

Thinking would always be left to humans on how to use the output of an AI system. AI systems and their knowledge will always be boxed to what it has learned but can never be generalized (like humans) where domain expertise and intelligence are required.

Read my details views on ChatGPT and the lack of domain intelligence and explainability by the Conversation AI agents on my blog -
https://lnkd.in/dWngD3dH

A short 30-second video explaining Cloud Native and the role of DevOps.

Be Multi-Cloud Ready - Download the first chapter of the Google Cloud Anthos: A Definitive Handbook and enroll for a free Anthos course - https://lnkd.in/d6wZ5-8m

One of the strategic decisions that enterprises need to make is how they can be cloud-agnostic and build and deploy multi-cloud applications in a seamless way across multi-clouds.

With #Anthos, you can have your workloads running in AWS, Azure, and Google Cloud and get a unified view and deployment experience across these cloud environments.

You can also buy the complete book at Amazon - https://amzn.to/3Qg3ZHu

What would be the Top Cloud Computing Trends to watch out for in 2023?

Checkout my recent blog https://lnkd.in/dgi2ShDe on my views on cloud computing trends -

1. Multi-cloud development would be the new normal.
2. Sustainable computing, tools, and insights
3. Unified Serverless architecture
4. Optimization - DevOps, MLOps, FinOps, GreenOps
5. Web 3.0 Tools - POC and Evaluations

What would be the Top Cloud Computing Trends to watch out for in 2023 ?

Checkout my recent blog on my views on cloud computing trends -

1. Multi-cloud development would be the new normal.
2. Sustainable computing, tools, and insights
3. Unified Serverless architecture
4. Optimization - DevOps, MLOps, FinOps, GreenOps
5. Web 3.0 Tools - POC and Evaluations

Is moving to the cloud enough to deliver sustainability goals? Check out my views on how to build a sustainable cloud strategy and focus on creating energy-efficient cloud applications.

In this blog, I cover the following principles for building a sustainable cloud strategy - https://lnkd.in/dTCAdq5J

Unified Measurement of Carbon Emissions
Carbon-aware workloads
Leveraging serverless technology and managed services
Leverage cloud services responsibly
Data storage and lifecycle
Network, infrastructure and edge computing

Looking forward to the presentation on Sustainability and AI at IndoML.

Green AI is about how to embed energy efficiency and reduce carbon emissions as part of the overall AI process while balancing the trade-offs with your model requirements.

#ai #sustainability #greenai Green Software Foundation

Is moving to the cloud enough to deliver sustainability goals? Check out my views on how to build a sustainable cloud strategy and focus on creating energy-efficient cloud applications.

In this blog, I cover the following principles for building a sustainable cloud strategy -

Unified Measurement of Carbon Emissions
Carbon-aware workloads
Leveraging serverless technology and managed services
Leverage cloud services responsibly
Data storage and lifecycle
Network, infrastructure and edge computing

#cloud #sustainabilty #esg #greentech Green Software Foundation #linkedin

What is the carbon emission of #ChatGPT ?. I gave ChatGPT (https://lnkd.in/dJSrwx8a) a try today on my favourite topic - “Technology and Sustainability” and found the response and follow-up very well structured.

It would be interesting to see how much carbon emissions were generated to train such large models and for inference/response.
I also asked this question to ChatGPT :) but got errors multiple times.

Q: Explain technology sustainability in simple terms

Technology sustainability refers to the use of technology in a way that is environmentally friendly and does not deplete natural resources. This can involve using renewable energy sources to power technology, using technology to reduce waste and pollution, and designing technology to be long-lasting and easily repairable. Essentially, the goal of technology sustainability is to ensure that our use of technology does not harm the environment or contribute to climate change.

Q: How can software professionals embrace technology sustainability?

Software professionals can embrace technology sustainability in a number of ways. Some examples include:
Educating themselves about the environmental impacts of the technology they work with and the role that software can play in addressing these impacts.
Incorporating sustainability principles into their work, such as by designing software that is energy-efficient and uses renewable resources.
Advocating for the use of sustainable technology within their organizations and the broader industry.
Supporting the development of sustainable technology solutions, such as through research and development or investment in sustainable technology startups.
Collaborating with other professionals, organizations, and communities to promote the use of sustainable technology.
Ultimately, embracing technology sustainability requires a commitment to ongoing learning, innovation, and collaboration. Software professionals can play a vital role in advancing technology sustainability by using their skills and expertise to develop solutions that are environmentally friendly and support the long-term health of our planet.

Q: How much carbon emission was generated to train and provide the above responses
An error occurred. If this issue persists please contact us through our help center at help.openai.com.

#sustainability #ai # #technology

How has technology evolved over the last two decades?

In this video, I cover how the software deployment and deployment process has evolved from monolithic to cloud-native applications.

Video Link - https://lnkd.in/eMTsxaC

Please do subscribe to my youtube channel - https://lnkd.in/dJaTc7qn for the latest trends and updates.

From devOps to GreenOps : How do you reduce the carbon impact of your #digital #cloud infrastructure and balance trade-offs across cost and latency.

One of the starting points is to leverage a cloud region that offers clean energy.

If you are running on Google Cloud, you can try the Google Cloud Region picker tool - https://lnkd.in/dTCRCiNF which helps you pick a Google Cloud region considering carbon footprint, price, and latency.

Also, if your production workloads can’t run on the cleanest region due to your requirements like data sovereignty, do consider running non-production workloads on the cleanest regions.

The region section is just one part of how you can reduce the carbon impact. Apart from moving to the cloud, the focus should be on designing and developing energy-efficient cloud applications from day one.