Operations | Monitoring | ITSM | DevOps | Cloud

You can find out whether ChatGPT, Gemini, Perplexity and Google's AI Overviews can see your business in about an hour, using nothing but a web browser. Most businesses have never checked.

So let's talk about the incidents that weren't yours to fix. It's 12:26 UTC on August 14, 2026. Outbound email starts bouncing. Inbound messages from partners stop arriving. Your team checks the obvious things first: mail server logs, recent deploys, firewall rules, your own DNS zone records. Everything on your side looks clean. By 12:48 UTC, an Early Warning Signal by StatusGator has already flagged a spike in reports pointing at Proofpoint. But if you're not watching for that signal, you don't know it exists yet.

As businesses generate, capture, and seek to analyze more data than ever before, they often find themselves limited by high data storage costs, expensive data processing fees, and high management overhead. For organizations who wish to expand their log analytics programs and become more data-driven, maximizing cost efficiency has become a critical operational objective.