The Changelog: Software Development, Open Source
ANTHOLOGY – Self-hosted, self-confident & self-employed (Friends)
Fri, 08 Nov 2024
We take you one last time back to the All Things Open 2024 hallway track to talk with some friends, new & old. We speak with Alex Kretzchmar about self-hosting. We speak with Israa Taha about self-confidence. We speak with Avindra Fernando & Adhithi Ravichandran about self-employment.
Full Episode
Welcome to ChangeLog and Friends, a weekly talk show about ATO hallway vibes. Thanks to our partners at Fly.io, the home of ChangeLog.com. Launch your app in five minutes or less. Learn how at Fly.io. Okay, let's talk.
What's up, friends? I'm here with Dave Rosenthal, CTO of Sentry.
So Dave, when I look at Sentry, I see you driving towards full application health, error monitoring where things began, session replay, being able to replay a view of the interface a user had going on when they experienced an issue with full tracing, full data, the advancements you're making with tracing and profiling, Chrome monitoring, code coverage, user feedback. and just tons of integrations.
Give me a glimpse into the inevitable future. What are you driving towards?
Yeah, one of the things that we're seeing is that in the past, people had separate systems where they had like logs on servers written files. They were maybe sending some metrics to Datadog or something like that or some other system. They were monitoring for errors with some product, maybe with Sentry.
But more and more what we see is people want all of these sources of telemetry logically tied together somehow. And that's really what we're pursuing at Sentry now. We have this concept of a trace ID, which is kind of a key that ties together all of the pieces of data that are associated with the user action.
So if a user loads a web page, we want to tie together all the server requests that happened, any errors that happened, any metrics that were collected. And what that allows on the back end You don't just have to look at like three different graphs and sort of line them up in time and try to draw your own conclusions.
You can actually like analyze and slice and dice the data and say, hey, what did this metric look like for people with this operating system versus this metric look like for people with this operating system and actually get into those details. So this kind of idea of.
tying all of the telemetry data together using this concept of a trace ID or basically some key, I think is a big win for developers trying to diagnose and debug real-world systems and something that is, we're kind of charged the path for that for everybody.
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