ChatGPT Plus w/ GPT4-High Level Data Center to Azure Migration Proposal Experiment
I’ll be sharing an experiment I conducted using the capabilities of ChatGPT Plus, powered by the cutting-edge GPT-4 AI model. I’ll dive deeper into various intriguing use cases I’ve explored with this technology.
My curiosity was piqued when I discovered that ChatGPT can adopt a multitude of personas. So, I put it to the test as an “Azure Cloud Architect AI Assistant” and observed its responses. It’s interesting to note the potential variation in its behavior depending on the initial instructions provided.
One standout feature of ChatGPT that I truly appreciate is its ability to store chat and context history from previous conversations. This allows me to pick up a conversation right where I left off, be it a week or a month later, with ChatGPT retaining the entire thread for seamless continuity.
Don’t be too fixated on the “Data Warehouse Dating Scene.” I was trying to coax ChatGPT into crafting a witty data architecture joke involving Snowflake, BigQuery, Redshift, and Synapse. And yes, it can attempt humor as well!
DataCenter to Azure Migration Proposal Accelerator
After introducing ChatGPT as an “Azure Cloud Architect AI Assistant,” I proceeded to describe my current situation and requested a plan, architecture diagram, and Terraform code tailored to my needs. Admittedly, ChatGPT didn’t accomplish everything in my initial request. I eagerly await the day when I can effortlessly have it generate an initial Visio, Lucidchart, Draw.io (or any preferred tool) file.
Next, I simply asked it to create a DR plan.
Next, I informed ChatGPT that I work for a technology consulting firm (which is true) and requested that it create a potential staffing model based on this information, incorporating the Agile Scrum methodology.
Finally, I tried to get it to (again) give me some kind of architecture diagram. I had seen from another blog series by my old friend / boss / technical mentor Andy Abbott an example of this so knew it could do it.
Is the generated output more helpful than the summary provided earlier? Maybe not, but it’s intriguing to see that ChatGPT managed to create a visual representation of an architecture diagram nonetheless.
In conclusion, engaging in more in-depth conversations with ChatGPT can yield additional insights for crafting a “mock” proposal. While it doesn’t do all the work, and some editing may be necessary to add context, there’s no denying that it significantly accelerates such tasks. Moreover, it prompts me to consider potential questions and motivates me to learn more about products or topics I’m less familiar with. I strongly recommend exploring this tool to enhance your productivity and gain valuable insights.
For reference, I’m using the $20/month ChatGPT Plus subscription from OpenAI. Alternatively, you can experiment with the Bing chatbot, which is currently free. Although it doesn’t save conversations, you can retain them as long as your browser tab remains open. Depending on Microsoft’s ongoing rollout, Bing users may have access to either the GPT-3.5 or GPT-4.0 model. I haven’t tried Google’s Bard yet but am eager to see how it performs in the future.
I would love to hear feedback or stories from others who have experimented with ChatGPT or similar AI technologies.
