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My last company used Splunk and SignalFx. They were fine, but I wasn't necessarily in the weeds with configuration and usage. The Observability Team made it eas
by clintonb 2y ago
My last company used Splunk and SignalFx. They were fine, but I wasn't necessarily in the weeds with configuration and usage. The Observability Team made it easy to use.
My current company, a much small startup, primarily uses Datadog and we are starting to better integrage Honeycomb. We mostly abandoned Google Cloud Monitoring because the UI/UX are not that great. Honeycomb is a paradigm, so took some time for us/me to understand. It's growing on us.
Despite the ability to completely blow up our bill (which is now better controlled), Datadog is a good product that lets us quickly answer questions when things go wrong. It's not perfect, but it's the best we have right now. The UI is intuitive, and facilitates more discovery (esp. for metrics and their attributes).
- cipherself 2y agoI am kinda confused by your comment, OP is about tracing as far as I understood, but you're referencing Google Cloud Monitoring (whereas the comparable thing would be Google Cloud Trace) and then again (esp. for metrics and their attributes). but OP isn't about metrics at all rather traces.
- gazpacho 2y agoHi, I'm one of the developers of Logfire. We do support metrics! Our vision is a single pane of glass observability where you can easily go from metrics <-> traces both via correlation and by creating metrics/dashboards from traces. We also support logging as an integrated concept into tracing (you can emit events without a duration that are just like a log but carry context of where they were emitted from relative to a trace).
- clintonb 2y agoGoogle Cloud Monitoring (https://console.cloud.google.com/monitoring https://console.cloud.google.com/monitoring), perhaps not what you call it, supports the big three signals—logs, traces, metrics.