Aditya Mukerjee

Software Engineer - Observability at Stripe

Talk

Unified Observability of Distributed Systems
Thursday 15:00 - 15:50
Topics:
observability
distributed systems
tracing
monitoring
metrics
Level:
Intermediate

Your rating:
0/5

“If a microservice falls down in the middle of a server farm, does my pager make a sound?”

If your service is automatically monitored, then the answer is “yes!”. But now that you’ve been paged and roused from your slumber… what happens next? Do you stumble to your computer, bleary-eyed, trying to find the elusive problem by cross-referencing dashboards and server logs across eleven different browser tabs? Or do you have better tools that you can use to integrate your monitoring data?

Unless you’re an engineer at a massive company like Google, the answer is probably “no” - most companies don’t have the resources to build all their own monitoring tools in-house. When using third-party and open-source tools for monitoring, there will always be gaps in between.

Fortunately, there’s a way teams can get the best of both worlds: high-resolution visibility into your systems, but without having to write your entire monitoring stack yourselves. We built a custom-built, open-source distributed tracing and monitoring pipeline that allows us to inspect each step of an HTTP request and diagnose the root causes of errors, leveraging the same open-source and third-party monitoring platforms you’re already used to. And with a monitoring pipeline that unifies metrics, logs, and traces, you can live the observability dream: the right data, in the right form, right when you need it.


Check the slides

About

Aditya is an entrepreneur, investor, and engineer based in New York City. He studied statistics at Columbia and computer science at Cornell, and works as a systems engineer on the Observability team at Stripe. When not defending users against online fraudsters, he spends his free time playing German-style board games and listening to embarrassing music.