Is AI the new DevOps? Harish Pillay [email protected] @[email protected] 

Why Do I Care? You care because you've shown that you are forward looking and radical enough to adopt "best current practises" 

What does AI offer to DevOps that DevOps itself doesn't already do? ● Tasks such as predictive analysis and CI/CD. 

● Tasks such as predictive analysis and CI/CD. ● A DevOps raison d'etre - to automate software development processes, reducing manual intervention and increasing productivity. What does AI offer to DevOps that DevOps itself doesn't already do? 

● Tasks such as predictive analysis and CI/CD. ● A DevOps raison d'etre - to automate software development processes, reducing manual intervention and increasing productivity. ● AI becomes another tool in the suite of tools for DevOps practises. What does AI offer to DevOps that DevOps itself doesn't already do? 

● Analyze large amounts of data from various sources to identify anomalies and potential issues before they become critical. Can AI help DevOps teams with monitoring and incident response? 

● Analyze large amounts of data from various sources to identify anomalies and potential issues before they become critical. ● AI-enabled tools helping DevOps teams to respond more quickly and effectively to incidents, reducing downtime and improving customer experience. Can AI help DevOps teams with monitoring and incident response? 

● Analyze large amounts of data from various sources to identify anomalies and potential issues before they become critical. ● AI-enabled tools helping DevOps teams to respond more quickly and effectively to incidents, reducing downtime and improving customer experience. ● All of these do not absolve the responsibilities of the developers. They are part and parcel of the DevOps process with the whole notion of "human-in-the-loop" in play. Can AI help DevOps teams with monitoring and incident response? 

● AI chatbots and virtual assistants can facilitate communication between team members, automate repetitive tasks, and provide real-time feedback. Provided these chatbots are trained on corpus specific to the organization so that relevance is maintained. AI enhancing collaboration and comms within DevOps teams 

● AI chatbots and virtual assistants can facilitate communication between team members, automate repetitive tasks, and provide real-time feedback. Provided these chatbots are trained on corpus specific to the organization so that relevance is maintained. ● It is possible that collaborative AI tools helping teams to work more effectively together by providing suggestions and recommendations based on data analysis. AI enhancing collaboration and comms within DevOps teams 

● AI chatbots and virtual assistants can facilitate communication between team members, automate repetitive tasks, and provide real-time feedback. Provided these chatbots are trained on corpus specific to the organization so that relevance is maintained. ● It is possible that collaborative AI tools helping teams to work more effectively together by providing suggestions and recommendations based on data analysis. ● These tools need to be reviewed and re-assessed periodically for currency and accuracy, otherwise mistakes could be magnified unwittingly. AI enhancing collaboration and comms within DevOps teams 

● Yes! Does AI require a cultural shift in DevOps practises? 

● Yes! ● Embrace the use of AI/ML to stay competitive and deliver quality work in a quick enough manner that surpasses today's throughput. Does AI require a cultural shift in DevOps practises? 

● Yes! ● Embrace the use of AI/ML to stay competitive and deliver quality work in a quick enough manner that surpasses today's throughput. ● This might involve investing in new tools, upskilling team members, and adopting new processes and workflows. Does AI require a cultural shift in DevOps practises? 

● Ethical concerns around data privacy, security, and bias. Ethical considerations and potential risks 

● Ethical concerns around data privacy, security, and bias. ● Teams need to ensure that they are using AI responsibly and transparently, with clear policies and guidelines for data collection, storage, and usage. Ethical considerations and potential risks 

● Ethical concerns around data privacy, security, and bias. ● Teams need to ensure that they are using AI responsibly and transparently, with clear policies and guidelines for data collection, storage, and usage. ● Active and continuous review of these tools are a necessary and required action. Ethical considerations and potential risks 

● Not adopting AI tools by DevOps teams risk sidelining them in favour of teams that do use AI tools. Summary 

● Not adopting AI tools by DevOps teams risk sidelining them in favour of teams that do use AI tools. ● Lean forward and learn all that you can to discover the areas that DevOps can benefit for AI tools and change your culture. Summary 

● Not adopting AI tools by DevOps teams risk sidelining them in favour of teams that do use AI tools. ● Lean forward and learn all that you can to discover the areas that DevOps can benefit for AI tools and change your culture. ● Have fun! Summary Thank you! Harish Pillay, [email protected] @[email protected]