Observability Software Diskussionen

Organizations can achieve this by capturing and analyzing packet-level

data alongside flow and metadata across on-prem, cloud, and hybrid

environments. Using strategically placed sensors and aggregation points,

teams can reconstruct end-to-end traffic flows, providing a... Mehr erfahren

We have been running into cases where something looks fine at a high level, but users still report slow performance or timeouts. It gets tricky when traffic moves between on prem systems and cloud services, because logs and metrics do not always line up clearly.

Do you rely more on... Mehr erfahren

We're running a microservices architecture and tracing requests across services has been a pain point. Does Sentry handle distributed tracing well? We're also already using OpenTelemetry, wondering if we'd have to re-instrument everything or if it works with our existing setup.

We're looking at consolidating our observability stack and Sentry has come up as an option. Curious how it compares to something like Datadog or New Relic, is it a full observability platform or more of a debugging tool?

We have a pretty mixed stack, web frontend, a couple of backend services, and a mobile app. Before we commit to Sentry, I want to make sure it actually supports everything we're running without needing separate configurations for each.

We're evaluating APM tools and Sentry keeps coming up. We already use it for error tracking, but I'm wondering if it's worth using for performance monitoring too, or if we'd be better off with a dedicated APM tool.

I've seen Seer mentioned a few times while looking into Sentry but I'm not totally clear on what it is or what it does. Is it just an AI chatbot?

We've been using Sentry for errors for a while and it works well for that. Curious how far it actually goes though, is performance monitoring, logs, and tracing genuinely useful in Sentry, or should we just use dedicated tools for that stuff?