A Non-Expert's Journey??-- Leveraging #ChatGPT to Build an #AWS Tag-Based #Cost Reporting Mailer

A Non-Expert's Journey??-- Leveraging #ChatGPT to Build an #AWS Tag-Based #Cost Reporting Mailer

{??Caution - Real-world screenshots ahead??}

Hey, LinkedIn community!

Today, I'd like to share my exciting experience of leveraging #ChatGPT to automate #AWS cost reporting towards our #costoptimization exercise for our business and tech teams.

But here's the catch??, How we were able to do so with absolutely no prior knowledge of AWS cost libraries or #Python ! ??

So, let's dive in!

?? Business Objective:

Every morning, each business team member should receive their month-to-date AWS spend, summed up per service (like EC2, S3, etc.), and the month's forecast as a table in their inbox.

Business Requirements on Cost Visibility of AWS Expenses
The broad level objective set by the business heads.

?? Options we typically had

We could have chosen either of the available 3, with pros?? and cons?? ranging from scalability, and sustainability, to burning a hole in our pocket ??♀???♂?

Typical options available to solve business challanges with their Pros and Cons
Most commonly available options, with their Pros & Cons.

What did we do? How? Timelines???♀???♂?

We went the unconventional way, asking #ChatGPT to help us out! ??

>> This is our Real-life Journey on #ChatGPT4 ????

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Our First Prompt to see if ChatGpt can even help here!


Wow! So ChatGpt does know what we are looking for. Hopes are high now. But this is too high-level. Let's act dumb and test it further??.

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Prompting ChatGpt to give in more step-by-step details

Raising the bar further. Adding complexity as per our real-world requirement.

"Each Business user should get data for only their Business units".

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Making things more granular.

... and started a stream of errors and optimization. We didn't give up, and neither did ChatGpt??

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ChatGpt works on the same voice tone. If your prompts are polite, expect it to be equally courteous in the replies.

Within just 2 hours of brainstorming, figuring things out, and replicating the steps, we were able to achieve the desired results. ????

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Our first auto-mailer on Component-wise cost spends.
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And we made sure to thank our savior! Let the feedback go back to the AI engine, to optimize its results. We made sure the new users looking to resolve the same issue get 'fixed' results from the self-learning AI engine.


What's next for us, now?

We move to phase 2, making our requirement even more granular, challenging, and useful to the stakeholders.

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How we would want the spend-stats to look like.

Will Chatgpt be able to help further? Would we be able to achieve our stretched goal? Stay tuned to see how it goes ??


We welcome your comments and suggestions on how you solved your #costoptimization objectives on #cloud #aws

#ChatGPT #AWS #CostManagement #Python #Automation #CloudComputing #TagBasedReporting #DailyMailer #BusinessAndTech #linkedin #digitaltransformation

Ganpati Sharma

Vice President - IT at Shyam Steel Industries Limited

1 年

Superb ???? Thanks Naveen Gulati for sharing the insight on ChatGPT ..

vikram jain

Senior Manager, DevOps Engineering | Driving Business Agility and Resilience through Cloud Solutions and Security Frameworks| Driving Operational Results through Automation | Leadership| Operational Excellence /COE

1 年

This is fantastic and time saving. I did a similar task for my finops only challenge was it record resources not costs but more to achieve.

Unique Kumar

Group Chief Information & Security Officer | Digital Leader | Data Privacy | Board Advisor | Speaker | Angel Investor | Go-Getter & Learner at CK Birla Group

1 年

Excellent Naveen, we are also exploring and looking for patterns for SI/partners to showcase us a business value using ChatGPT .. way to go

Congratulations well done great job

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