Monday, May 16, 2022

Room 1

8:45 am

Room 1
8:45 am → 15 min

Tech with project RapGOD

9:00 am

Room 1
9:00 am → 25 min

The Data on Kubernetes Landscape

9:25 am

Room 1
9:25 am → 10 min

Why run Postgres in Kubernetes?

9:35 am

Room 1
9:35 am → 10 min

Running Kafka on Kubernetes, across three clouds at Adobe

9:45 am

Room 1
9:45 am → 10 min

Protecting data with CSI Volume Snapshots on Kubernetes

9:55 am

Room 1
9:55 am → 10 min

1000 node Cassandra cluster on Amazon's EKS?

10:05 am

Room 1
10:05 am → 10 min

Serverless Event Streaming Applications as Functions on K8

10:15 am

Room 1
10:15 am → 20 min

Entertainment

10:35 am

Room 1
10:35 am → 10 min

Operator Lifecycle Management

10:45 am

Room 1
10:45 am → 10 min

Build your own social media analytics with Apache Kafka

10:55 am

Room 1
10:55 am → 10 min

What's New in Kubernetes Storage

11:05 am

Room 1
11:05 am → 10 min

Operating FoundationDB on Kubernetes

11:15 am

Room 1
11:15 am → 10 min

Datashim - a framework for declarative management of datasets on Kubernetes

11:25 am

Room 1
11:25 am → 15 min

Lunch

11:40 am

Room 1
11:40 am → 15 min

Microservices and Kubernetes for your Full Data Lifecycle

11:55 am

Room 1
11:55 am → 10 min

The many uses of Kubernetes cross cluster migration of persistent data

12:05 pm

Room 1
12:05 pm → 10 min

Running a database on local NVMes on Kubernetes

12:15 pm

Room 1
12:15 pm → 10 min

From Laptop to Cloud: Developing Cloud-Native Applications with Containerized Databases

12:25 pm

Room 1
12:25 pm → 10 min

How to protect your data

12:35 pm

Room 1
12:35 pm → 10 min

Leveraging Running Stateful Workloads on Kubernetes for the Benefit of Developers

12:45 pm

Room 1
12:45 pm → 30 min

Entertainment/Lunch break

1:15 pm

Room 1
1:15 pm → 20 min

Graph in Kubernetes Panel

1:35 pm

Room 1
1:35 pm → 10 min

Is your database in Kubernetes production ready?

1:45 pm

Room 1
1:45 pm → 10 min

Why we created one more Operator for MySQL

1:55 pm

Room 1
1:55 pm → 10 min

Autoscaling Stateful Workloads in Kubernetes

2:05 pm

Room 1
2:05 pm → 30 min

Entertainment

2:35 pm

Room 1
2:35 pm → 10 min

What we've learned from running a PostgreSQL managed service on Kubernetes

2:45 pm

Room 1
2:45 pm → 10 min

Using Kubernetes to deliver a “serverless” service

2:55 pm

Room 1
2:55 pm → 10 min

Resilient Redis

3:05 pm

Room 1
3:05 pm → 10 min

Testing the Mettle: Evaluating data solutions for large-scale production to check who stacks up

3:15 pm

Room 1
3:15 pm → 20 min

Entertainment

3:35 pm

Room 1
3:35 pm → 10 min

Weathering The Cloud Storm: Modern Data Management Patterns for Reliability and Availability

3:45 pm

Room 1
3:45 pm → 10 min

One Click to Run Apache Spark as a Service on Kubernetes

3:55 pm

Room 1
3:55 pm → 10 min

Growing up fast: Kubernetes and Real-Time Analytic Applications

4:05 pm

Room 1
4:05 pm → 10 min

Kanister & Kopia: An Open-Source Data Protection Match Made in Heaven

4:15 pm

Room 1
4:15 pm → 10 min

PV TrashCan - Protection against accidental deletion of PVs or Namespaces.

4:25 pm

Room 1
4:25 pm → 10 min

Disaggregated Container Attached Storage - Yet Another Topology with What Purpose?

4:35 pm

Room 1
4:35 pm → 10 min

Bringing Apache Cassandra closer to Kubernetes

4:45 pm

Room 1
4:45 pm → 20 min

[Panel] The future of data on Kubernetes with Adobe and CNCF

5:05 pm

Room 1
5:05 pm → 10 min

Trivia

5:15 pm

Room 1
5:15 pm → 15 min

Closing

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