Cloud Native Thane - July Meetup
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We're excited to open the Call for Proposals for our upcoming Cloud Native Thane Meetup! 🚀
We're looking for talks from across the cloud-native ecosystem, including K8s, AI, Platform Engineering, DevOps, Security, Olly, Networking, GitOps, and more.
Whether you have a real-world experience, an interesting demo, lessons learned, or a story to share, we'd love to hear from you. First-time speakers are always welcome! All submissions will be reviewed by the organizing team, and selected speakers will be contacted directly.
We can't wait to see you on stage! 🙌
Submit a proposal
🌧️ Hello Mumbaikar!
The rains back, which means it's time for another Cloud Native Thane Meetup!
Join us this July for a Saturday filled with cloud-native learning, interesting discussions, and catching up with the community. Whether you're a student, developer, engineer, or simply curious about cloud-native technologies, we'd love to have you with us.
This month we'll be bringing together speakers from the community to share practical experiences, and real-world stories across the cloud-native ecosystem. Expect talks ranging from k8s, Security, AI, Observability, DevOps, and everything in between.
We believe some of the best conversations happen outside the slides, so come prepared to ask questions, meet new people, and connect with others who enjoy building things.
Schedule: TBD
Venue: FlexiLoans Pvt. Ltd 7th Floor, ONE WORLD CENTER South Annexe, Tower-2, 841, Senapati Bapat Marg, Saidham Nagar, Parel, Mumbai, Maharashtra 400013 Google Maps: https://maps.app.goo.gl/MtJ5cLgW1owyCdra6
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10:30 AM - 11:00 AM IST
Secure by Default: Zero-Trust Identity for AI Workloads in Multi-Tenant Clusters
in-personAI workloads introduce a new class of security challenges that most cluster operators aren't ready for: long-lived API keys for model providers, multi-tenant model servers with no request isolation, and ML artifacts with no supply chain verification.
This talk applies zero-trust principles specifically to AI infrastructure: using SPIFFE/SPIRE for cryptographic identity between services and model servers, short-lived credentials via cert-manager to replace hardcoded LLM API keys, OPA/Gatekeeper policies for model endpoint access control, and Cosign for signing and verifying ML model artifacts.
Each pattern is demonstrated with a working Kubernetes setup, and common misconfigurations are called out explicitly.
SPEAKERS