DevOps with AI! Transforming Cloud Workflows and Reducing Waste | Ardhendu Tripathy

In this episode of An Hour of Innovation podcast, host Vitaliy Lyoshin dives into the future of DevOps with a compelling question: What if AI could not only streamline your cloud workflows but also uncover hidden costs and inefficiencies you didn’t know existed?Vitaliy is joined by Ardhendu Tripathy, AI Lead at OpsCanvas and former assistant professor specializing in statistical machine learning. Together, they explore how OpsCanvas is using AI to transform cloud infrastructure management—optimizing deployments, reducing cloud waste, and empowering DevOps teams with better visibility and control. The conversation also touches on the challenges of applying AI responsibly in DevOps, the importance of guardrails, and what the future holds for AI-powered developer tools.Ardhendu, or “Ardi,” brings a deep academic background in machine learning and decision-making algorithms, previously teaching and researching at Missouri S&T. At OpsCanvas, he now leads AI initiatives that simplify DevOps workflows and improve infrastructure efficiency. His work bridges the gap between cutting-edge AI research and practical, real-world applications. Passionate about innovation, Ardi is helping redefine how teams deploy, monitor, and scale applications in the cloud.Support This PodcastTo support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways* OpsCanvas addresses cloud sprawl by providing visibility into resources.* The platform helps identify and eliminate unused cloud resources, termed 'zombie resources.'* AI can enhance DevOps efficiency, but it must be used responsibly.* Client reactions often reveal a lack of visibility into their cloud usage.* Implementing AI in DevOps faces challenges, including data privacy concerns.* Automation in DevOps is possible, but it will take time to fully realize.* Future developments may enable more seamless deployments with AI assistance.* AI's capabilities are improving, but it is not yet fully intelligent.* Understanding AI's limitations is crucial for effective use in software engineering.Timestamps00:00 Introduction01:58 Journey from Academia to a Startup03:00 What is OpsCanvas05:46 Understanding Cloud Sprawl and Resource Management10:15 Benefits of OpsCanvas14:25 Who Would Benefit the Most from Using OpsCanvas16:05 Leveraging AI for Enhanced DevOps Efficiency21:33 What Users Say After Using OpsCanvan For the First Time23:24 Challenges Implementing AI29:17 The Role of AI Agents in DevOps32:41 Ethical Considerations in AI Implementation37:25 Future Innovations in DevOps Automation41:17 Excitement and Challenges in AI-Driven Development44:22 Navigating Rapid AI Developments48:23 Misconceptions About AI in DevOpsConnect with Ardihendu* Website: https://www.opscanvas.com/ * LinkedIn: https://www.linkedin.com/in/ardhendu-tripathy/ Connect with Vit* Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin Vit’s Projects* Podcast: https://www.anhourofinnovation.com/ * Company: https://appforgelab.com/

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