Session: 2 for 1: Anatomy of Wireguard: Scaling to thousands of devices / Adding Kafka Streaming to your Data Products
Lee Briggs: Anatomy of Wireguard: Scaling to thousands of devices
Wireguard has quickly become the “de-facto standard” for secure, low-latency encrypted VPNs. Many consumer VPN providers off Wireguard based connections and building your own Wireguard server can be done with a few config files.
What if you need more than just a client server connection? How does Wireguard operate in networks with hundreds of ever thousands of clients? What sort of considerations are there?
In this talk, we’ll examine what happens after the first client connects to a Wireguard server, and consider the different deployment models you might need to consider when choosing to host your own Wireguard VPN.
Lauren Maffeo: Adding Kafka Streaming to your Data Products
If your team is working to build better data products, Kafka data streaming is sure to play a role. The open source event store and stream-processing platform underpins the modern tech stack through tools like Confluent. When used well, Kafka can take data product workflows down from weeks to hours, and empower auto-refresh options to give data on-demand.
If this sounds too good to be true, it can be when Kafka isn’t implemented the right way. Knowing where Kafka fits within your larger data architecture can stump even seasoned data teams.
This session shares tangible tips to help attendees include Kafka in their data product workflows. You’ll learn Kafka’s core benefits, how to integrate it with your data’s source systems, which data products it’s best suited for, and why colleagues beyond the data team should learn it.
