Sandeep Kanabar
where else to find them
no profile links on file
what they talk about
all 7 in the filters
where they keep going back
- KubeCon + CloudNativeCon India2 editions2025–2026
all 4 in the filters
on a stage with
- Josh Berkus2×
- Aditi Guptaonce
- Anastasiia Gubskaonce
all 13 in the filters
who talks about the same things
- Kris Nova23 talks
- Nikhita Raghunath31 talks
- Edidiong Asikpo8 talks
- Julia Furst Morgado15 talks
- Leigh Capili23 talks
- Ramiro Berrelleza16 talks
| title | conference | date |
|---|---|---|
| Who Watches the Watchers? From Closed Observability To... | KubeCon + CloudNativeCon India 2026 | 2026-06-18 |
Prometheus, OpenTelemetry collectors, Cortex, Grafana and Tempo are treated as a distributed system: collectors add active traffic shaping (batching to 1024… | ||
| Redefining Inclusion: Building Truly Global Cloud N... | KubeCon + CloudNativeCon India 2025 | 2025-08-06 |
Project audit finds 80 community meetings with 80 meetings, 75 favor NA/EU, 0 Oceania and only two matching South Asia timezones, so contributors outside those… | ||
| Kubernetes the Hard Way: A Live Journey | Cloud Native University 2025 | 2025-04-01 |
Live assembly of a single-node cluster on remote machines in Amsterdam over Wi‑Fi, starting etcd, the API Server, controller-manager, scheduler, kubelet and… | ||
| Why Allyship Matters and Your Role in Creating a More Diverse Cloud Native Community | KubeCon + CloudNativeCon Europe 2025 | 2025-04-01 |
Panel argues that simple concrete steps drive inclusion: creators adding captions added by creators and mentors adding subtitles to tutorial videos enable… | ||
| Expanding the Contributor Pipeline Through Inclusion | KubeCon + CloudNativeCon Europe 2025 | 2025-04-01 |
Projects that want more contributors adopt specific practices: record and document every meeting, publish simple CONTRIBUTING docs with diagrams that include… | ||
| Systems Thinking with Poisoned Systems | SREcon25 Americas | 2025-03-25 |
Argues that observability AI learns patterns not systems and fails when training data is data poisoning or missing; gives concrete failures: AI hallucinated… | ||
| nothing matches | ||