Data on Kubernetes Day NA 2025
as the organisers put it
Data on Kubernetes Day North America 2025 has officially wrapped! Thank you to all the attendees who joined us. Watch keynotes and all breakout sessions on the CNCF YouTube Channel.
who it's for
platform engineers, data engineers, site reliability engineers, database administrators, machine learning engineers, cloud architects
topics
container image block caching; containerd snapshot over overlayfs; CloudNativePG Postgres operator; Kubernetes persistent volume security; Kafka cost and tiered storage; OpenCost for cost allocation; eBPF network attribution; topology-aware scheduling for data locality; real-time ML pipelines with Pulsar; streaming SQL materialized views
| title | author | length |
|---|---|---|
| Welcome + Opening Remarks | Divine Akachukwu Odazie | 06m |
Announces the 2025 report (survey of 1,182 pros) showing the community has moved from adoption to operational excellence, with four concrete trends: AI/ML… | ||
| Blazing-Fast Container Deployments: Image Caching With Block Storage | Manu Bhadoria, Juana Nakfour | 25m |
Shows a concrete system that caches popular base images as virtual block device cache served from zone storage and plugs into containerd via a custom snapshot… | ||
| YAML Is My DBA Now: Our Postgres Journey From DIY To Autopilot Self-Service | David Pech | 26m |
Chronicles a migration from VMs to Docker to Patroni operators and finally CloudNativePG, describing concrete wins and failures: moved from node-pinned… | ||
| Why Data Stored in Kubernetes Is at Risk and What You Can Do About It | Julia Furst Morgado, Carol Valencia | |
Persistent volumes and snapshots are often exposed by default; concrete fixes include set reclaimPolicy to Retain and use volumeBindingMode… | ||
| The Cost of Apache Kafka | Jakub Scholz, Rajith Attapattu | 24m |
Walks through concrete cost drivers for Kafka on Kubernetes: brokers commonly run large VMs (examples: 64 GB RAM, 16 vCPU), storage often measures in terabytes… | ||
| Panel: Cracking the Data Locality Puzzle | Alex S, Alon H, Abhishek M, Ekin K, Dan D | 39m |
Panel summarizes concrete experiments and gaps: Kubernetes schedulers lack topology and bandwidth visibility so moving hundreds of gigabyte to terabyte model… | ||
| Building a Coud Native Data Pipeline for Your Real-Time ML & AI Apps | Mary Grygleski | 28m |
Practical blueprint for a cloud‑native real‑time ML pipeline: use Apache Pulsar for low‑latency ingestion and CDC feeds, stream into a streaming SQL engine… | ||
| Closing Remarks | Divine Akachukwu Odazie | 01m |
Day wraps up with a brief closing remarks summary that confirms the schedule and next steps and wishes success at KubeCon North America 2025 The message… | ||
| nothing matches | ||