Support my work 1. GitHub Copilot – Personalized natural language recommendations are now at the fingertips of all our developers at Figma. Our engineers code faster, collaborate more effectively, and achieve better results. 2. Meta AI Llama 3 on Whatsapp Web is a game changer for developers and DevOps engineers. It can match the capabilities of ChatGPT-4, which is an enterprise offering of OpenAI. In this video I will show how I use Meta AI Llama3 to improve my productivity for everyday DevOps activities. 3. Kubiya AI – ChatGPT for DevOps Engineers 4. Synk AI – Snyk’s application security solution considers the technology, processes and people involved, giving teams the security expertise they need within tools and workflows, which they use. 5. Otter.ai uses AI Meeting Assistant to transcribe meetings in real-time, record audio, capture slides, extract action items and generate AI meeting 6. Eraser – a powerful…

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32 thoughts on “6 AI tools for DevOps Engineers | Improve productivity for Day to Day tasks”
  1. AI is not going to replace DevOps. Look at AI as a Companion and not Competition. Use AI to improve efficiency in your day to day tasks.

    Have you started AI for your activities ? Did I miss anything ? Comment below.

  2. Hi @Abhi Veeramalla & hi everyone, when I'm doing "func host start" in terminal, terminal is throughing an error as"Could not resolve CoreCLR path. For more details, enable tracing by setting COREHOST TRACE environment variable to 1" & I'm using azure functions & azure functions core tools for this, anybody please help me to solve this.🙏🙏

  3. GitHub Copilot
    Meta Llama
    Kubia
    snyk
    Otter
    Eraser
    First and Last two heard from your end only Abhishek Anna. Thanks a lot for your re-search and helping each and everyone. Thanks for your time Anna!!

  4. 00:02 GitHub Copilot is an AI tool that helps DevOps engineers write code and scripts.
    02:18 GitHub Copilot streamlines AWS setup tasks
    04:15 GitHub Copilot is useful for common repetitive tasks
    06:15 AI tools like CHAT GPT, llama, and kubia are designed for DevOps tasks.
    08:16 Use Snik for vulnerability scanning and fixing open-source issues
    10:25 AI tools like Otter and Eraser for documentation and content creation
    12:30 Using code deploy to generate system architecture and content outlines
    14:28 AI tools for DevOps Engineers

  5. Hi brother i have questions actually i am learning a devops from zero to hero devops but i am just 12th pass out so i will eligible for the job of devops engeneer please reply me brother 😢😊

  6. Hi Abhishek… Ansible, AWS, Azure, Networking, Terraform playlist are diff from docker and kubernetes… it have 2 3 reason … you speak very fast as i do but i dont have followers :-)… you were not using the btr white board … and i blv as you was new on you tube too…. coz of i checking docker and kubernetes on other channel but habitual to your way of teaching style .. job ready way of teaching… topics etc etc

    please if you can make docker and kubernetes series again… while havnt gone with kubernetes but that is 1 years old series too so nearby to Docker series. I am already an IT person while looking for changing path to devops.

    Thanks for all your videos. Regards

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