Here’s the updated blog version including the note that Shanthi Kumar V covered Tutorials 1 & 2, in this session. At the Bottom of this blog you can see the discussion video also.
Recap: 11-Day SDK in DevOps Tutorial Series
by Shanthi Kumar V
Shanthi Kumar V recently delivered an engaging 11-day tutorial series on implementing SDKs in DevOps, with a strong focus on cloud cost automation. In the first two tutorials, Shanthi covered foundational topics including cloud cost automation and safer Infrastructure as Code (IaC) validation. Through practical, real-world case studies, she showcased how teams can leverage diverse tools and APIs to optimize cloud spending and boost operational efficiency.
A standout topic was Infrastructure as Code (IaC) validation and automation, particularly in AWS environments. The sessions highlighted how automated agents can proactively scan and validate IaC scripts before deployment, significantly reducing errors and enhancing security compliance. The final discussions contrasted manual and automated IaC validation, emphasizing the considerable cost savings and productivity improvements gained through intelligent automation.
Next Steps for Teams
- Review the full 11-day SDK in DevOps tutorial series prepared by Shanthi Kumar V to understand the principles and applications of agentic automation in DevOps.
- DevOps teams should start implementing automated cloud cost monitoring and alerting using AWS Cost Explorer APIs, Terraform, Python scripts, and serverless functions to maintain budget control in real time.
- Development teams are encouraged to integrate AI-powered agents for automated security and compliance scanning of IaC before deployments.
- Set up automated code review bots for Terraform and CloudFormation templates using Open Policy Agent (OPA), Sentinel, and GitHub Actions to enforce best practices.
- Project managers can analyze potential cloud cost reductions of up to 30% by employing agent scripts that identify and manage idle or underutilized cloud resources.
- Security teams should explore deploying AI-based validation bots to enhance IaC security posture, helping to prevent vulnerable or non-compliant infrastructure changes.
Summary: Cloud Cost Automation & Secure IaC in DevOps
During the comprehensive 11-day tutorial series, Shanthi Kumar V shared valuable insights grounded in Agentic DevOps principles, demonstrating how organizations can automate and optimize cloud cost management. Using tools like AWS Cost Explorer APIs, Terraform, Python scripting, and serverless architectures, companies can continuously monitor budgets and automate the detection and removal of unused cloud resources. For example, a SaaS provider achieved a 30% cut in AWS expenses through auto-scaling agents that also enhance resource tagging for improved cost attribution.
The series also covered advanced IaC security automation. AI-driven agents that automatically validate Infrastructure as Code before deployment led to notable security benefits—with an enterprise reporting a 40% reduction in incidents within three months of implementation. The tutorial’s conclusion underscored how automated IaC validation dramatically outperforms manual processes, delivering reduced errors, stronger compliance, and time saved.
This tutorial series is an essential guide for DevOps professionals seeking to implement intelligent automation, boost infrastructure security, and reduce cloud operating costs effectively.
Next steps/Tutorials:
- DevOps team to implement agentic predictive scaling using Prometheus, Keda, and custom Python prediction agents to improve Kubernetes cluster efficiency and reduce scaling lag during sales spikes.
- DevOps team to automate API token lifecycle management using agent bots to reduce security risks and cut support time by 50%.
- DevOps team to build intelligent incident response agents that can triage and remediate issues automatically, integrating with monitoring tools like Datadog and Splunk.
- DevOps team to deploy agentic responders to classify alerts, prioritize incidents, and initiate automated remediation for common issues, reducing incident resolution time from hours to minutes.
- DevOps team to implement OpenA Connect SDK for intelligent agentic workflows in the operations lifecycle.
==== NOTE For you ===>
Hello, and greetings!
Are you considering a transition into AI or GenAI roles?
🚀 It’s not just about certifications—it’s about building real, hands-on experience that shows you can solve practical, business-relevant problems.
🎥 Watch this 18-min explainer:
👉 [How to Build Experience for GenAI Roles](https://youtu.be/gGaHSd47sas?si=tkQxqr5QbQR3lXqL)
🔧 How is experience built—even before you’re hired?
Through immersive coaching and guided projects that simulate real job scenarios. You’ll:
– ✅ Build intelligent agent solutions across diverse domains
– ✅ Automate business workflows using Python through prompt-driven logic
– ✅ Deliver a full-scale data analytics project with AI-powered decision-making
– ✅ Learn how to document, review, and present your work confidently
🧩 Each project mirrors tasks performed in actual AI roles—so you graduate with portfolio-backed credibility.
👩💼 See how others did it:
– [Srivalli’s AI profile](https://www.linkedin.com/in/srivalliannamraju/)
– [Ravi’s AI transition (Non-IT)](https://www.linkedin.com/in/ravikumar-kangne-364207223/)
Also, see this pdf from linkedin to get some more clarity:
https://www.linkedin.com/posts/vskumaritpractices_how-to-survive-in-it-from-legacy-background-activity-7351126206471159810-mEQz?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAHPQu4Bmxexh4DaroCIXe3ZKDAgd4wMoZk
If you’re serious about growing into AI careers, this is your signal to start doing—not just learning.
Warm regards,
Shanthi Kumar V
Building Cloud/DevOps/AI/ML/Gen AI Architects 