ChatGPT applied to Cloud Computing principles
If you haven’t heard about the latest development in the field of conversational AI, let us introduce you to ChatGPT, the newest release from OpenAI. This large language model is available for everyone to use for a limited time. It has been creating a buzz on social media for its engaging, sometimes humorous, and occasionally dark responses to user queries. People worldwide are having fun interacting with ChatGPT and trying to push its boundaries. So what is ChatGPT, and what makes it different from other conversational AI systems? And how would this AI benefit the Cloud Computing industry?
Disclaimer: This article was entirely written thanks to ChatGPT, even this disclaimer ;)
ChatGPT is a chatbot powered by the GPT-3 language model. It is a conversational AI system that can use natural language conversations with users. ChatGPT is trained on various topics and can assist with multiple tasks, such as answering questions and providing information. It is designed to be friendly and helpful and can adapt to different conversational styles and contexts. With ChatGPT, you can have engaging and informative conversations on various topics, from the latest news and current events to hobbies and personal interests. Whether you’re looking for a casual conversation partner or a knowledgeable source of information, ChatGPT is here to help.
OpenAI claimed the model is capable of helping in debugging codes, writing creative content, answer follow-up questions. ChatGPT can have a very vast domain for its usage, some of them can be:
- Providing information and answering questions: ChatGPT can be used as a knowledge source, providing answers to user questions on various topics. This could be useful for everything from casual conversations to research and study.
- Generating creative content: ChatGPT can generate text based on user prompts, which could be helpful for creative writing or other text-based tasks. An example can be to create a prompt for text-based image generation for midjourney or DALLE-2.
- Personal assistant: ChatGPT could be used as a personal assistant or assist with customer service, helping users and customers with tasks such as scheduling and organization, or even resolving issues.
I’m not sure if there is a specific application of ChatGPT for the cloud computing industry. ChatGPT is a significant language model trained to generate text that sounds like a human wrote. It is not designed for any specific industry or use case yet.
However, it could potentially be used in the cloud computing industry in a variety of ways, such as:
It is possible that ChatGPT, as a natural language processing tool, could help to make cloud architecture principles more accessible and easier to understand for a wider audience. By using conversational language and providing explanations in a way that is easy to understand, ChatGPT could potentially help to evangelize and democratize cloud architecture principles. However, it is essential to note that ChatGPT is simply a tool. It depends on how it is used and implemented in cloud architecture to determine its effectiveness.
It all depends on how ChatGPT transforms the way we understand applications and infrastructures, in other words, platform engineering. I guess that given the data organizations share every day (best practices about landing zones, network, etc., the resources depending on each other, a lot of existing cloud architectures,…), ChatGPT will be able to learn from it and give insights to both techy and non-tech profiles.
A potential use case for a tool like ChatGPT could be in helping programmers familiar with one programming language to learn and work in a different language. For example, a programmer familiar with Python might need to work on a project using GoLang. A tool that can help translate code between the two languages could be precious, as it would allow the programmer to ramp up and be productive. This could be especially helpful when the programmer works on a team and needs to contribute quickly to a code repository.
One potential use for ChatGPT could be helping programmers write clean, well-documented Terraform code. Clean code is often more straightforward for other developers to understand and work with, and it can save time and effort in the long run. However, code refactoring (the process of making changes to existing code to make it cleaner and more readable) is often time-consuming and can be tedious.
A tool like ChatGPT that can clean up code and generate clear documentation could be beneficial. It could save programmers time and effort and potentially replace the need for multiple lines, reviewers, and code analyzers.
Using a language model like ChatGPT to generate customer service responses could help the cloud computing industry in several ways. For example, it could help companies save time and resources by automatically generating responses to common customer inquiries. This could allow customer service representatives to focus on more complex or technical issues that require a human touch.
Additionally, using a language model to generate responses could help ensure that customers receive consistent, accurate information, regardless of which customer service representative they are speaking with. This could improve customer satisfaction and reduce the number of support tickets that need to be handled manually.
ChatGPT could be used to assist in the creation of technical documentation for Terraform, a tool used for building, changing, and versioning infrastructure safely and efficiently. Using ChatGPT, one could create a text-based interface that allows users to ask questions about Terraform and receive detailed, accurate responses. For example, a user could ask, “What is Terraform used for?” and receive a response like “Terraform is a tool used for building, changing, and versioning infrastructure safely and efficiently. It is often used in the cloud computing industry to manage and automate the deployment of cloud resources.” This type of system could be a valuable resource for users new to Terraform and looking to learn more about its capabilities and features.
ChatGPT could specify the business goals and requirements the cloud infrastructure needs to support and generate a basic idea of your needed resources. This will help ensure that the infrastructure is tailored to the organization's and its stakeholders' specific needs.
When I think cloud, I think optimization of costs depending on cloud providers. ChatGPT could help select a cloud service provider or providers that can offer the necessary capabilities and support to meet the organization’s needs. This may include scalability, reliability, security, and cost-effectiveness.
ChatGPT has proven to be a good assistant in developing cloud strategies and roadmaps that outlines the steps and timelines for implementing and integrating the various components of the cloud infrastructure. This will provide a clear plan for how the infrastructure will be built and evolved.
When I think about strategy, I think about security and best practices. ChatGPT would help establish clear policies and procedures for managing and maintaining the cloud infrastructure. This should include guidelines for things like deployment, configuration, monitoring, and security.
ChatGPT could regularly assess and evaluate the effectiveness of the cloud infrastructure and make adjustments as needed to ensure that it continues to support the organization’s business goals and requirements. This may involve things like performance monitoring, capacity planning, and upgrades to the infrastructure.
ChatGPT & Brainboard
The mentioned ChatGPT’s strategies and applications may seem that companies and consultants worldwide will soon become obsolete. Like any other technology, AI needs to be embraced by companies, used to its extent, and enrich through time.
As a growth hacker, I’ve been using AI for a while, pushing the boundaries of content creation, visual experimentation, and enrichment.
As a team, we’ve been experimenting all weekend with the vulnerabilities and limitations of ChatGPT and the potential applications of our solution. It is not yet decided when we will use it and how. For now, it helps me (or anybody) bypass the learning curve of the cloud and democratize access to technical knowledge.
Brainboard already helps bridge that technical gap and standardize Infrastructure-as-Code (IaC) in teams. We will continue to do so, with or without ChatGPT.
Despite its impressive capabilities, ChatGPT has also been shown to have vulnerabilities that can produce discriminatory, biased, racist, and harmful content. While the potential applications of AI in the real world are numerous and exciting, it is crucial to recognize the potential risks and ensure that proper safeguards are in place to prevent harm to individuals.
If you have any engaging experiences or experiments with ChatGPT that you would like to share, please leave a comment below.