WORKSHOP
Building Intelligent Observability: Agentic AI & MCP Handson with Kubernetes & Prometheus
Date: 06th Nov 2025 | Time: 03:30 PM to 05:30 PM
Venue: Workshop Room 3, NIMHANS Convention Centre, Bangalore
FEES:
• Rs.299 for Pro pass holders
• Rs2699 for Standard Pass holders
• Rs2999 for all others
(Limited seats available)
The workshop aims to provide participants with a deep, practical understanding of how Agentic AI models and Machine Control Protocols (MCPs) can be integrated to enhance monitoring and automation in Kubernetes environments using time-series data.
By the end of the session, participants will have built a small working prototype demonstrating AI-driven monitoring for Kubernetes with prometheus.
Sanil Kumar D.
Founder, CEO, Caze Labs
Sushanth Kumar
CTO(Cloud Native Solutions), Caze Labs
Amit Kumar Roushan
Co-Founder and CTO, Caze Labs
Uday Swamy
Chief Solutions Architect (AI), Caze Labs
Rohit Vaidyanathan
Senior SWE (Security and Privacy) IUDX, IISc
Pravin Ranjan
Sr. Software Engineer IBM
- This workshop is best suited for:
- Intermediate to Advanced Level Engineers working on DevOps, AI infrastructure, or cloud monitoring systems.
- Final-year Computer Science or AI students familiar with Docker/Kubernetes basics.
- Data engineers or MLOps professionals exploring AI-driven observability solutions.
- Any engineers / practitioners who are working and exploring to work with Agentic AI and MCPs.
- 20 Min : Introduction to Agentic AI & MCP Frameworks | Overview of agentic architectures, MCP concepts, and their relevance in automated monitoring
- 25 Min : Understanding Time Series Data in Observability Systems | How time-series metrics from Kubernetes (CPU, memory, storage…) are managed
- 30 Min : Hands-on Setup: Kubernetes Monitoring Stack | Install Prometheus + Grafana + sample workloads, and expose metrics endpoints for data collection.
- 35 Min : Building the AI Agent with MCP Integration
- 40 Min : Implement an AI monitoring agent using Python; connect it to metrics streams and process data through MCP-based actions.
- 30 Min : QA, Interaction and support on Handson | Knowledge and Tools Reference
- Basic computer science understanding
- Please read and understand the basics of AI, GenAI, and Agentic AI
- Basic programming understanding(Python) can help to understand faster
- Basic API (REST API) understanding
- Basic Kubernetes concepts, Docker and Images
- If you are interested to do handson setup during the workshop, please bring your laptop with Virtual Machine (Virtual box) with Ubuntu 22.04LTS with min 50GB storage, 8GB/16GB RAM and good cpu power
- GitHub account to clone the sample code during workshop
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)
- Introduction to Agentic AI, MCP and typical pipelines
- Design and implement agentic AI workflows which integrate with time-series data.
- Integrate MCP (Machine Control Protocol) components for monitoring with Kubernetes and Prometheus.
- Build a prototype AI-driven observability system to extend in real-world environments.
- Future opportunities and pointers
About Speakers
Sanil Kumar D. Award-winning expert with 25+ years in AI, Cloud, Cybersecurity, Open Source. Founder of Caze Labs, building AI & cloud-native solutions. Founding member of SODA Foundation (Linux Foundation) & KubeEdge (CNCF). Speaker (ACM Eminent Speaker, 100+ conference sessions), researcher, with patents and papers. Key roles in industry initiatives (IEEE,CCICI, SNIA, LF, CNCF, SODA, IOS-MCN). Pursuing PhD in Observability. Founded 123Life for social impact. Active mentor and believes open source is a great avenue for young developers.
Sushanth has close to two decades of product development expertise in Open Source, Cloud, Network access protocols, Hybrid Data Management etc.
He is the co-founder of Caze Labs Private Limited in May 2023, to build innovative solutions based on open source and technology (Observability, Cloud, AI, Cyber Security).
He is currently the project maintainer at SODA Foundation which hosts several data management projects.
His past experience also includes project maintainer role for CNI Genie, a CNCF Sandbox project.
Amit is a Co-Founder and CTO at Caze Labs. He is an OpenSource Enthusiast and SODA Foundation Maintainer
Uday is an enthusiastic Solutions Engineer who has dedicated over a decade and a half, developing technology products and solutions, serving diverse Business Domains. Recently, he has been leading the development of Enterprise RAG solutions on custom data, leveraging Generative AI to tackle complex enterprise challenges. With a robust background in Deep Learning, MLOps, Adtech, Telecomm, and Cloud platforms, he enjoys designing and developing cross-domain technology solutions. Passionate about technology and its societal impacts, Uday is ever curious to explore the profound implications of technological recombinant innovation. Recognized for leading teams and driving projects from conception to production, he is committed to creating impactful AI-driven solutions that deliver significant business value.
Rohith Vaidyanathan is a Senior SWE at the Indian Urban Data Exchange (IUDX), Indian Institute of Science (IISc). At IUDX, he works on secure, privacy-preserving backend modules in interoperable data exchanges that have been deployed as digital public infrastructures in various states across India. He also focuses on the implementation of Trusted Execution Environment (TEE) based systems and cloud-native collaborative compute platforms that enable privacy-aware data sharing.
Pravin Ranjan brings over 10 years of industry experience specializing in Linux, File Systems, Cloud Technologies, and Open Source development. He holds an M.Tech degree from NIT Trichy and has contributed to the academic community through multiple publications in prestigious international conferences, including IEEE. Currently, he is focused on developing S3 protocol support for IBM Storage, driving innovation in scalable and cloud-integrated storage solutions.