🚦 Opensolr Traffic Bandwidth Limit: Explained
What’s the Deal with the Traffic Bandwidth Limit?
At Opensolr, we don’t count the number of requests you make—because, let’s face it, not all requests are created equal.
Instead, we use a Traffic Bandwidth Limit to keep things fair. You’re only billed (on a pre-paid plan) for the outgoing bytes sent from your Opensolr index to your site or app.
Translation:
- 1 GB of traffic could be a million ultra-efficient requests (if you optimize your queries)
- …or it could be just one monster request (if you don’t).
Yes, size matters!
Why Am I Seeing High Search Traffic Bandwidth?
- Bots and web crawlers love to visit your site’s search pages—sometimes a little too much.
- That traffic is then passed on to our servers, and can quickly add up.
- If your bandwidth seems sky-high overnight, odds are you’re the (un)lucky recipient of a bot party… or maybe even an attack.
🛠️ Solution: Outsmart the Bytes!
Bonus: Opensolr transparently logs every single request. You get full access to see all the action, via:
- Our Automation API
- The Opensolr Index Control Panel
📊 Real-World Examples
1. API - Logs & Analytics
- Get, facet, and analyze your requests by any Solr-supported field.
- Example: facet all results by IP and path—see who’s eating your bandwidth.
Learn more in the API Docs
2. Index Control Panel Analytics
- See metrics on traffic spikes, popular queries, and more.
- Diagnose what’s hot—and what’s not—on your search.
Read the Analytics Blog Post
3. Tail the Logs Like an Old-School Sysadmin
- Use your Index Control Panel to view the last 1,000 lines of the live request log.
- Spot traffic in real time. Block, optimize, or celebrate as needed.
- Great for identifying bottlenecks, surprise traffic, or just showing off.
🥷 Pro Tips (Because You’re Not Just Any Solr User)
- Bots aren’t going away—get friendly with your logs.
- Optimize requests, use filters, and cut down on payloads.
- Share your log horror stories. We’ve all been there.
Want deeper insights or custom advice? Contact our team. We love a good bandwidth optimization challenge!
