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Is AI The New DevOps

Harish Pillay
March 22, 2024
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Is AI The New DevOps

This is an Ignite talk delivered at DevOpsDays Singapore on 22 March 2024

Harish Pillay

March 22, 2024
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Transcript

  1. Why Do I Care? You care because you've shown that

    you are forward looking and radical enough to adopt "best current practises"
  2. What does AI offer to DevOps that DevOps itself doesn't

    already do? • Tasks such as predictive analysis and CI/CD.
  3. • 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?
  4. • 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?
  5. • 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?
  6. • 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?
  7. • 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?
  8. • 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
  9. • 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
  10. • 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
  11. • 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?
  12. • 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?
  13. • 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
  14. • 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
  15. • Not adopting AI tools by DevOps teams risk sidelining

    them in favour of teams that do use AI tools. Summary
  16. • 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
  17. • 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]