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Last updated on November 8th, 2024 at 04:40 pm
Artificial Intelligence has captured the world’s attention with advanced GenAI models like ChatGPT and Google Brad.
These GenAI models understand the natural language like us called NLP. Making it easy how to interact with the machine.
How Artificial Intelligence can affect Devops? What are the top predictions for Devops and AI?
A simple prompt like “Could you write a Python code that parses the logs?” could give the output with the working Python code and an example.
But the questions arise at the same time:
- How is AI used in DevOps?
- What is the role of generative AI in DevOps?
- Can Devops and AI work together?
Table of Contents
What is artificial intelligence?
Artificial Intelligence (AI) is the capabilities in computer systems that can perform various tasks with human-level intelligence. Simply, computer systems are smart enough to do tasks like humans.
AI can be utilized in learning from historical data, processing language, and recognizing images with computer vision, providing a great opportunity for task automation, reducing errors, and making informed decisions.
What is DevOps?
DevOps is an innovative approach to modern software development. Empathize collaboration and communication between a Development team ( Dev ) and an Operations team (Ops).
We are using continuous integration and delivery (CI/CD), agile principles, and automation to enhance the overall software lifecycle.
Check out DevOps Roadmap to begin your DevOps Career.
Devops and AI: Will AI take over DevOps?
AI advancement is the most significant revolution we’re witnessing after industrialization. What will be the future of DevOps and AI?
When the Industrial Revolution started,
People become insecure that bringing machines and automation into manufacturing industries will make them unemployed and replace skilled laborers.
But opposed to that what happened?
Initially, it did job displacement for traditional roles. The introduction of the new machine-driven production approach created new job opportunities.
We can’t say that AI will take over the DevOps or make you jobless. But going forward you need to carefully evaluate the future of your current role.
Let’s explore DevOps and AI – the most compelling prediction about how AI is shaping the Future of DevOps: Good, Bad, and Ugly sides of it.
#1. AI-Powered Assistant:
With the current capabilities of AI, we will see the rapid development of the AI-powered Assistant.
This kind of innovation is in the early stage of utilizing AI, but don’t expect much this is still not mature.
AI-powered Assistants can’t fix the problem for you. Instead, consider them as having the most senior engineer helping you identify the problem by narrowing down the scope.
#2. GenAI Expansion into B2B
Businesses want to have more control and flexibility over customizing the training dataset by fine-tuning the parameters.
Rather than having general-purpose Large Language Models (LLM) usage of specialized and domain-specific AI models will be the main focus.
AI is not a one-size-fits-all solution but rather tailored to the specific needs.
#3. Next Gen Programming
GenAI will change how we think about writing code. The future of programming makes it easy to write code without worrying about the programming language.
Code Llama is an AI model built on top of Llama 2, fine-tuned for generating code.
As a DevOps engineer, your focus should be shifted from writing the code to bringing in creativity, problem-solving, and a unique expertise — to find the the solution. Devops and AI combine to solve the problem creatively.
#4. The risk from AI-generated information.
An AI-powered agent can help us to write the code but we will witness “AI-generated Vulnerabilities“.
This poses a risk, especially for the enterprise code quality.
Junior engineers might not understand the impact of code patterns written by AI. Senior Engineers will be in demand as careful code review is needed to keep the AI under control.
Conclusion
DevOps and AI spark questions about the maturity of AI-drive development. We’re already seeing many businesses shift their focus from the core business idea to the AI business.
Will that help: DevOps and AI in the short and long term?
In the upcoming years, we’ll see many AI services like content creators, website builders, and code writers. However, the real question is if they deliver the values they promised or if it’s just another useless AI service.
References:
https://en.wikipedia.org/wiki/Artificial_intelligence
https://openai.com/blog/chatgpt
https://en.wikipedia.org/wiki/DevOps
https://about.fb.com/news/2023/08/code-llama-ai-for-coding/
https://about.fb.com/news/2023/07/llama-2/
