Event report of the Nov’22 joint meetup along with presentations & recording
If you do a poll or ask anyone about what is the best way to learn and meet like minded people; everyone would answer that the physical in-person meetings are best. In the Bengaluru tech community we have been missing that for a while but now we are back with a bang 🤟.
Following different meetup groups came together and we did our first joint meetup after a very long time on the topic which interests everyone – Kubernetes & Cloud.
- AWS User Group Bengaluru
- Microsoft Reactor Bengaluru
- Docker Bengaluru
- Google’s GDG meetup group
- Kubernetes Bengaluru
- Kubernetes & OpenShift India Community
- Kubernetes & Cloud Native Online
The event happened on 5th Nov’22 and we had close to 700 signups, from that about 300 showed up, which is huge for a community event like this. Thanks to Microsoft Reactor for sponsoring the venue and subsidized food.
We have got 44 CFP submissions and from that we could choose only 8 due to time constraints. Following are details of different sessions we did on that day :-
Speaker | Session Title and Presentation |
Shankar Ramanathan, SRE at Vonage | Shift Left, Fail fast with K8s IAC |
Joinal Ahmed, AI Consultant at Google Cloud | Why Kubernetes is Great for Data Science Workloads |
Vivek Sridhar, Senior Cloud Advocate at Microsoft | Build, Deploy and Scale microservice apps with Azure Container Apps |
Pradipta Banerjee, Senior Principal Software Engineer at Red Hat | Virtualised Containers in Public Cloud |
Kishore Jagannath, Strategic cloud engineer at Google | Multi Cluster architecture with GKE |
Kannan Anandakrishnan, Lead Reliability Engineer at Arcesium | Monitor and fix the common issues causing failures, evictions of pods in Kubernetes |
Srinivasa Vasu, Field Engineer at Yugabyte | A tale of two distributed systems – Kubernetes and YugabyteDB |
Vishwa Krishnakumar, CEO at Zenduty | Monitoring K8s – Choosing the Right Metrics for Noiseless Alerting |
Timestamps for above video :-
- Shift Left, Fail fast with K8s IAC : 00:04.18
- Why Kubernetes is Great for Data Science Workloads : 00:53:46
- Build, Deploy and Scale microservice apps with Azure Container Apps: 01:23
Timestamps for above video :-
- Monitor and fix the common issues causing failures, evictions of pods in Kubernetes: 00.21
- A tale of two distributed systems – Kubernetes and YugabyteDB: 00:27:48
- Monitoring K8s – Choosing the Right Metrics for Noiseless Alerting: 01:12:51
It was great to do and attend the in-person event after a long time. Thanks for all the speakers, attendees and meetup ogranizers to make this event a success. There was great energy throughout the event. Do share your feedback, comments with us to do more events like this. It just got restarted .. let’s learn and share together 🙌 .