One of the major challenges that technology startups will face is scaling up effectively and efficiently. As your user base doubles or triples, how do you ensure that your services still run smoothly and deliver the same user experience? How do you maintain performance while being cost-efficient? Here at Amplitude, our customers have tracked more events in the past year than in the first 3 years of our company combined. As we and our customers grow, we need to continue providing the same if not better service across our platform. Previously, we explained how Nova, our distributed query engine, searches through billions of events and answers 95% of queries in less than 3 seconds. In this blog post, we will focus on our data processing pipeline that ingests and prepares event data for Nova, and explain how we stay cost-effective while our event volume multiplies.
Why & how we built a Slack app for Amplitude
If your team is anything like ours, you’re in Slack…a lot. At Amplitude, almost all internal communication happens in Slack, and it’s even our preferred method for talking to some of our customers.
Which is why when we were thinking about how to help teams share and discuss insights from user data, Slack was the first thing that popped into our minds. In fact, lots of our customers told us that they were taking screenshots of Amplitude graphs and pasting them into Slack for further discussion — not exactly an ideal workflow. Continue reading