- Visit Kubecon website and make your own schedule.
- If you are into networking - Check talks around Istio, Kubernetes, Cilium, eBPF, Envoy and etc.
- Add everything to your calendar
- Note down speaker and companies names on a paper.
BOOTHS (In-person and Virtual)
- Visit Booths and Ask right questions to staff at booths.
- Ask what are you working on?
- Ask why this tech stack?
- What is revolutionary in this? Why to learn?
- Check companies product, Ask for a demo.
- It proves you're interested.
QR code
- Make sure to scan the QR codes everywhere for getting mail updates and demo calls.
- Make your own QR code to share it with person or staff you meet.
- Everyone is there to network and this makes it simple.
- Everybody is busy too, Be fast in responses and learnings.
On-site Co-located events
- Attend this event from companies which are more technical for sure.
- Try to take your laptops there.
- This events are best for networking and chilled ones.
- Staff are more interested to connect with you.
Giveaways and swags
- Get some swags and participate giveaways for sharing in public.
- Swags should never be the goal but they're cool to have.
- This giveaways will motivate you to give a trail to demos of companies and you can learn something new today.
Keep a track on new launches
- #KubeCon is the most active conference and hence, many new launches are scheduled for kubecon.
- Keep eye on them, you can find some gem.
- They are for sure looking for some new folks to join the team.
- give a try to their products.
What after connection?
- Be polite and humble when you talk.
- Keep connected with company staffs.
- As you have given a try, you already know the product now.
- Ask some doubts and be frank about your needs.
- If you looking for a job, ASK.
- If integration with your demos, ASK
- Best advice would be get on a call/coffee sessions with this folks and staffs.
- Keep a track on hashtags of kubecon like #kubecon#kubeconNA
- Check companies posting about the stuff using hashtag and try to interact in replies don't DM.
I hope you get some insights to interact with folks and companies at conferences like Kubecon.
For more details and tips, Check my remote job roadmap in my bio - linktree link.
What should I study before the data science job interview?
- The data science interview is meant to assess your skills and abilities in data science. Therefore, it is recommended that you study data science concepts and practice answering related questions.
How do you introduce yourself in your data science interview?
- Start off by introducing yourself and giving a brief overview of your experience. Then you should go straight to your resume, and talk about what you know about their company, their industry.
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A stand alone cloud-native gateway product based on open source Istio Ingress, Gloo Gateway uses the foundational multi-tenancy and federation of the Gloo Platform.