Saurabh Mishra
Lead Consultant
Pune, India
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Saurabh Mishra is a Cloud Evangelist and technology enthusiast specializing in cloud architecture, DevOps, automation, and Agentic AI. Through active community engagement, he shares practical knowledge on cloud-native solutions, AI-powered workflows, security best practices, and multi-cloud ecosystems. As a seasoned speaker and mentor, Saurabh has presented at conferences, meetups, and workshops, empowering teams to drive innovation, modernize their platforms, and unlock business value through cloud and AI technologies
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The AI-Powered Infrastructure: Leveraging HashiCorp for Resource Allocation & Predictive scaling
Build intelligent infrastructure with HashiCorp tools and AI. Automate resource allocation using Terraform, predict scaling with Consul, secure AI workflows with Vault, and orchestrate ML workloads with Nomad. Learn to create dynamic, self-adapting systems for optimized performance and efficiency.
Automated API Testing and Monitoring in Cloud-Native Environments
In modern cloud-native environments, APIs serve as the backbone of communication between distributed services. Ensuring their reliability, security, and performance is critical to maintaining application stability and delivering seamless user experiences. This session explores how Postman, a popular API platform, can be effectively leveraged for automated API testing and monitoring within cloud-native architectures. Attendees will learn how to design robust test collections, automate execution using Newman in CI/CD pipelines, and integrate with platforms like Kubernetes, GitHub Actions, and Jenkins for continuous validation. The session also covers best practices for testing authentication flows (OAuth2, API keys), schema validation, and performance benchmarks. Furthermore, it demonstrates how Postman’s monitoring capabilities can be extended using cloud-native observability tools such as AWS CloudWatch and Azure Monitor to track API health and uptime. By combining Postman with automation and cloud tooling, developers and DevOps teams can build resilient systems, catch issues early, and reduce the risk of production failures. Whether you're managing microservices or modernizing legacy systems, this talk provides practical insights and live examples to enhance your API lifecycle management. Ideal for engineers, testers, and architects looking to bridge the gap between API testing and cloud operations with scalable and automated solutions.
Dead Container Walking: Post-Incident Analysis When Your Workload Is Already Gone
In Kubernetes, compromised containers often disappear before investigators can respond, leaving no disk, process state or live system to inspect.
This talk explores how attackers exploit ephemeral workloads and why traditional forensic approaches fail in cloud-native environments.
Attendees will leave with a blueprint for building forensically ready clusters where even the most ephemeral workloads leave a permanent mark.
Platform Patterns for AI on K8s: Admission, Isolation & Observability That Work
Saurabh presents proven platform patterns for running AI workloads reliably on Kubernetes, with a focus on admission, isolation, and observability. The session dives into how admission policies enforce GPU quotas and fairness, how tenant isolation prevents noisy-neighbor issues, and how observability patterns make AI jobs debuggable in production. Attendees will see real manifests, admission controllers, and quota strategies that balance utilization and stability. The talk also covers service mesh–based isolation with Istio, OpenTelemetry-driven tracing and metrics, and policy frameworks for safe multi-tenant AI. Lessons learned include preventing GPU starvation, reducing operator toil, and improving user trust in GenAI platforms. The session closes with a practical checklist attendees can adopt immediately, built entirely with CNCF and open source tools.
Post-Mortem of a Container Breach: Forensics in the Cloud-Native Era
Containers and Kubernetes have revolutionized how we deploy software—but they’ve also changed how we investigate breaches. When attackers compromise ephemeral pods or exploit misconfigured workloads, the evidence often disappears in minutes. This session takes the audience inside a real-world container compromise—from initial intrusion through lateral movement to post-incident recovery.
Attendees will leave with a practical framework for container forensics—what data to preserve, how to automate evidence collection, and how to build incident response readiness into CI/CD pipelines. Whether you’re a security engineer, SRE, or DevOps practitioner, you’ll gain actionable techniques for investigating and learning from breaches in dynamic, containerized environments
Harnessing Google Cloud for Real-Time Problem Solving through Observability
Participants will learn how to leverage Google Cloud’s observability tools like Cloud Monitoring, Logging, and Trace to identify and resolve issues in real time. The session will cover best practices for implementing monitoring, alerting, and tracing across distributed systems. Key strategies for optimizing performance and minimizing downtime through proactive insights will be discussed. Attendees will explore practical examples of troubleshooting with real-time data to ensure system reliability and stability. The session aims to empower teams with actionable knowledge for cloud-native observability.
Google Cloud simplifies Zero Trust Security Approach
Participants will learn about Zero Trust Security approach an how it is important agenda for every organizations.
How Google Cloud simplifies and fulfilled Zero Trust Security with transparency .
Extending MCP: Writing Custom Protocol Extensions Without Breaking Compatibility
MCP's real power lies not just in what it defines, but in what it leaves room for. As teams push MCP into production, the need to add custom capabilities streaming responses, domain-specific metadata, proprietary auth flows runs headfirst into the risk of breaking existing clients and servers.
This talk walks through the practical discipline of extending MCP without fracturing compatibility: how to use capability negotiation correctly, where to extend vs. where to fork, how to version custom extensions gracefully, and how to contribute extensions upstream without waiting for a spec cycle.
Real examples from building extensions in the wild what worked, what silently broke things, and what the spec doesn't yet have a good answer for.
Attendees leave with a working mental model for extension design and a checklist for evaluating whether a custom extension is safe to ship
Engineering the Agent Stack: Running AI-Native Multi-Agent Systems on Kubernetes
This session is designed for platform engineers, DevOps practitioners, and cloud architects looking to run AI agents reliably in production. Participants will learn how to design and deploy multi-agent AI systems on Kubernetes, using familiar cloud-native building blocks. We’ll walk through the agent stack—LLM-powered agents, tools, memory, and coordination—and show how Kubernetes enables scalability, resilience, security, and observability. Through real-world patterns and architectural examples, attendees will gain practical insights into engineering AI-native platforms that move beyond experimentation to production-ready autonomous systems.
Building the Future of intelligent Self-Service Platform on Google Cloud with AI and Cloud Native
Discover how we're building the future of intelligent self-service. This presentation outlines our journey leveraging Google Cloud as the core of our intelligent self-service platform. We infuse Google AI for smart user interactions and adopt Cloud Native principles—supported by our internal developer platform—for enhanced agility and resilience. We'll share key strategies for developing this next-generation solution that empowers users and redefines self-service capabilities. Learn how these technologies and platforms converge for transformative results, all powered by Google Cloud
Building an MCP Marketplace: Lessons in Discovery, Versioning, and Trust
This talk shares practical lessons from building a marketplace for MCP servers covering how to design a discovery layer that goes beyond a simple registry, handle versioning without breaking agent workflows, and establish trust signals (author verification, schema validation, sandboxed execution scores) that developers can actually rely on.
Attendees will walk away with concrete patterns for publishing and consuming MCP servers at scale, and an honest look at what breaks when you try to standardize a fast-moving ecosystem.
Automatically Deploy Generative AI Python Web Application from Version Control to Cloud Run
Participants will learn how to seamlessly deploy a Generative AI-powered Python web application from version control to Cloud Run. This hands-on codelab will guide you through setting up continuous deployment, containerizing the app, and optimizing it for scalability. By the end, you'll have a fully functional AI web app running in the cloud with minimal effort.
BSides Kraków 2026 Sessionize Event Upcoming
KCD Kuala Lumpur 2026 Sessionize Event Upcoming
PlatformCon 2026 Sessionize Event Upcoming
MCP Dev Summit Mumbai 2026 Sessionize Event
MCP Dev Summit Bengaluru 2026 Sessionize Event
BSides Buffalo 2026 Sessionize Event
CNCG Chandigarh Meetup User group Sessionize Event
KCDKOCHI26 Sessionize Event
THE DEV SUMMIT 2026 Sessionize Event
Container Security Village at Seasides Goa Sessionize Event
DevFest Jalandhar 2025 Sessionize Event
HashiConf 2025 Sessionize Event
THE API CONF 2025 Sessionize Event
Cloud Community Days Indore 2025 Sessionize Event
Google Cloud Community Day Gandhinagar 2025 Sessionize Event
Global Azure 2025 - Bengaluru Sessionize Event
Google Cloud Community Day - Pune 2023 Sessionize Event
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