Q: I'm waitlisted (RSVP full), can I still come?
A: Yes you can, but please come earlier than others to guarantee seat. We do RSVP to make approximation on how many will come, for smaller venue we usually make smaller RSVP slot.
Q: Should I bring laptop?
A: Well, this is really up to you, but we are not doing a hands-on workshop.
Q: What is hallway track?
A: This is Kubernetes and Cloud Native global community philosophy. You come to meetup event to engage with the speakers or other participants, otherwise it's just the same as watching youtube video. Make use of the "hallway" (i.e. event meetup space) to discuss anything with anyone, network with people, who knows the next big open source project comes from this!
Hi Jakarta Kubernauts! It's the time of Kubernetes meetup again. Welcome to our ninth episode of Kubernetes meetup in Jakarta. This September meetup is sponsored by Female Daily Network.
Female Daily Network
Jl. Pejaten Barat No.46, Kota Jakarta Selatan
DKI Jakarta 12510
Instruction to get into the venue:
- The venue has limited parking area, refrain from driving car, motorcycle is fine
- Public transport is preferred
Talk #1 (Beginnner track): Helm Intro, The Package Manager for Kubernetes
Speaker: Rangga Adhitya Prawira (Full-Stack Developer @Female Daily Network)
Rangga is an Engineer from Female Daily Network (FDN), the leading beauty portal in Indonesia that empowering women through the happiness from small acts of joy. He is going to share an important tool in Kubernetes: Helm.
Helm is package manager that helps managing Kubernetes apps. Rangga will share how FDN built Helm Repository, pipelining to CI/CD, and orchestrating its apps in FDN Kubernetes Cluster. Internal helm repo will helps orchestrating the apps and any other resources in Kubernetes cluster.
Talk #2 (Intermediate track): GPU and Kubernetes for Machine Learning
Speaker: Eufrat Tsaqib (Software Engineer @Nodeflux)
Eufrat is a Software Engineer from Nodeflux, just graduated with past research on modelling hyperspectral imaging data. He is going to talk about GPU with Kubernetes.
What is a "GPU" and on what machine learning case we usually need it, how to use GPU on container (e.g. Docker), history of Device Plugins API, bin-packing multiple workloads (pods) on single GPU, example with GKE and NVIDIA GPU, and current hurdles on using GPU with kubernetes to overcome.
6:30 pm - 7:09 pm | Registration and Coffee Break
7:09 pm - 7:25 pm | Welcome Sponsor
7:25 pm - 7:55 pm | Rangga Adhitya Prawira (Female Daily Network)
7:55 pm - 8:25 pm | Eufrat Tsaqib (Nodeflux)
8:25 pm - 8:40 pm | Q&A Panel
8:40 pm - 9:00 pm | Hallway Track
Female Daily Network
Giri Kuncoro / Imre Nagi / Iqbal Farabi / Irvi Aini, Community Leaders