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A lot of people at DoorDash are from Uber. Uber is one of the largest installations of Kafka in the world, so a lot of key processes there are based of Kafka. T
by remote_phone 6y ago
A lot of people at DoorDash are from Uber. Uber is one of the largest installations of Kafka in the world, so a lot of key processes there are based of Kafka. There was probably inhouse expertise from ex-Uber engineers that made it easier to transition.
- ckdarby 6y agoThis is a typical pattern for large compensation payout with little effort after the large initial investment. Engineering Daily podcast has various podcasts that come up around this. One that comes to mind was the one with Slack. Slack had hyper-growth, they went out and hired individuals who had already tackled these problems at the same numbers or larger. You get hired at a company, and you look around at what FAANG is using, you implement that because you can always say, "But it works at Netflix". You build up immense expertise in the project, the tool, etc. Switch jobs, ignore everything the existing company is doing, where the landscape is going and shove your agenda of implementing the same thing such as Kafka. Measure everything. Look like the saviour of the company. Point to this, ask for massive stock compensation, bonus, etc. based on the metrics that make you look good.
- fsociety 6y agoAh-ha! So true, never thought of it that way. I’ve seen a startup BURN through money with Kafka clusters. The kicker was that they didn’t need it.
- remote_phone 6y agoThere are only a handful of companies who need the true power of Kafka. It is a burden on devops and expensive. If you’re too small you definitely will waste money pursuing this aspiration.