I've been using observability tools for logging, thinking it would simplify my life with everything in one place—dashboards, alerts, logs, you name it. But now, a few months in, I'm shocked at my bills. Why is the storage cost higher than the servers themselves? It feels like every log line comes with a hidden fee! I'm seriously worried about how to control these expenses without sacrificing the data I actually need. Any advice on managing logging costs effectively?
5 Answers
Using pipelines to deduplicate or sample your data is a great approach. Tools like Vector or Cribl might come in handy. Cribl can deliver amazing ROI if set up properly, especially if you're dealing with expensive backends like Splunk or Datadog!
I've heard good things about Vector too! Might give that a shot.
Focus on identifying the most frequent logs that aren't helping you and filter those out. For example, if you’re using ASP.NET, it logs multiple messages for HTTP requests—consider a custom implementation that condenses it, which may reduce your log volume significantly!
Sampling your traces and adjusting your polling intervals can help. Also, implement a logging framework and use environment variables like LOG_LEVEL for more control. Structuring logs, like using JSON, can also be a game changer for organization
The first step is to reevaluate what you're logging. Are you using too many tools together? Sometimes self-hosting can reduce costs, but it does mean more management. Tighten up your logging to only what's necessary; if a log line isn't useful, drop it!
Yup, observability can be super pricey! When I began, I logged everything but realized 90% of it went unused. It’s tough, but you need to figure out what's essential to keep shuffling through the logs. It's all about that gatekeeping!
Thanks for the suggestion! I'll definitely check out Cribl.