If you are into software development and AI then you might think how can a DevOps team take advantage of artificial intelligence (AI)? Developer Operation teams also known as DevOps are now starting collaboration with AI and ML to automate their workflow, improve their performance and efficiency, and enhance the process of software development.
So, let’s deep dive into your question (how can a DevOps team take advantage of artificial intelligence (AI)?) and see the possible ways where AI can help DevOps Teams.
Are There Any DevOps Team’s Roles In The Age of AI?
Before knowing the answer to this how can a DevOps team take advantage of artificial intelligence (AI)? Question, you need to understand the roles of DevOps in this era of AI. The team of Development Operations is the core of a tech company.
The tasks of DevOps are very complicated and need too much time to analyze the information and develop software. Here comes AI to automate some processes and solve problems of DevOps teams to enhance their productivity with speed and efficiency.
AI (Artificial Intelligence) and ML (Machine Learning) are super beneficial in identifying the causes of problems related to software development and gathering information. DevOps teams command and help the AI and ML to perform code review, testing, development help, error finding, etc.
How Can A DevOps Team Take Advantage Of Artificial Intelligence (AI)?
In this age of AI DevOps teams are really blessed. AI/ML and Team Developer Operations is a deadly combination in the Tech hubs and software development. Here are some points that help you to understand the answer to ‘How can a DevOps team take advantage of artificial intelligence (AI)?’.
1. Bug Finding And Solving
This is one of the biggest advantages of using AI. When DevOps teams are using AIs then the bug detection is straightforward and they don’t need to perform tests manually over and over to find the bug.
Also, AI and ML suggest possible solutions to solve the presence of bugs in codes. Now DevOps Teams are constantly focused on the training of AI/ML to enhance bug detection adn automate the same bug detection by analyzing the patterns.
2. AI In The Streamlining Requirements Management
Before AI requirement management relied on the manual task performed by DevOps Teams. Before AI DevOps team had to go through the documentation, communication, and validation.
AI is now helping DevOps to automate the process of creation, testing, management, and other time-consuming tasks, so, that the Teams of DevOps can concentrate their main work including cladding, software development, and maintaining the deadlines with this efficiency.
3. Maintaining Security And Compliance
The AI effectively enhances the maintenance of security and compliance. DevOps teams can automate the testing process with AI, This helps the DevOps to cover all security measurements and optimize the existing flaws in the security.
DevOps can mechanize the quality gates CI/CD, which helps to identify the quality of software. This helps developers to decide whether the software is ready to release or not. Moreover, DevOps trained AI and ML to run tests for compliance tests. These tests are very complex and play a crucial role in verifying the requirements of software.
4. Analyze Data And Take Decisions
AI can be trained to make data-driven decisions. DevOps provides data and information to AI/ML for making data-driven decisions. The AI is trained to analyze the trends, patterns, anomalies, etc.
Currently, AI is really not a great option for going through both structured and unstructured data but with the help of DevOps training and custom algorithms it can evaluate DevOps works by making data-driven decisions.
5. Troubleshooting The Flaws By AI
Big tech hubs have software QA processes to detect and eliminate bugs in their complex software apps and platforms. These Big software companies need to speed up their production and work that’s why they acquire AI-driven QA tools and software.
These AI tools help to identify the potential flaws in the demo software. Then Developers fix these failure points before deploying the software or apps in the market for customers. Currently, DevOps Teams are working 72% more efficiently and speedily with the help of AI.
Big Tech Companies DevOps Team’s Using AI
Now you know how can a DevOps team take advantage of artificial intelligence (AI). DevOps Teams in big companies like Google, Apple, Microsoft, Netflix, etc. are using AI/ML to automate the processes that tackle hours.
Google implemented AI within its CI/CD pipelines. This Implementation helps the cloud-build platform to perform different complex tasks and optimize the workflow in a very efficient way. Also, they integrate AI in their coding processes, bug-fix process, and other work pipeline in a manner that collaborate with DevOps teams.
Netflix currently implemented AI to increase customer satisfaction and enhance their personalization services by analyzing their interests and personal data. NVIDIA is now taking the AI market share by implementing AI/ML into their GPUs to create a better working environment for developers.
Conclusion: Is It Good To Take Advantage Of AI?
From the DevOps team’s point of view, this AI is a blessing for them. They can work with so much efficiency and automate their work. It is very important for software companies to implement AI into their workflow to fight head-to-head with their competitors.
The DevOps Teams with the capabilities of AI, can work and perform tasks more smoothly with less manpower. However, if a company’s DevOps Teams fail to implement the AI correctly then it can cause some major production failures and destroy the workflow.
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