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BrontoScope: AI-Powered Error Investigations

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Authored by Marco Aquilanti



Today we're introducing BrontoScope, one of the is built around three tools:





  • Auto-Parsing — using AI to automatically structure logs


  • AI Dashboard Creation — generating dashboards from natural language


  • BrontoScope — AI-powered incident investigation



The philosophy behind all of these: before adding any new feature, we make sure it will be genuinely useful to most users and won't slow down or hinder any of their existing tasks.









BrontoScope



Incidents don't wait for business hours. When an alert fires at 3am, one or a few on-call engineers need to move fast — often without access to the domain experts who know the affected system best.



The first steps of any incident are always the same:





  1. Understand the scope of the incident


  2. Estimate the impact on customers and the broader system


  3. Assign a priority and decide how to tackle it



Staying calm, thinking clearly, and acting quickly are all required — even when you've just been woken up. But too much haste leads to incorrect diagnosis.




LLMs can help enormously in these scenarios — they can summarize large amounts of data in seconds and are not affected by panic, confusion, or a 3am wake-up call.




BrontoScope automates the incident investigation process with a single click on any error event in your logs. The LLM writes and runs tens of queries against your data, analyzes the results, generates a summary report, and delivers it to you in just a few seconds.






What the Report Includes





  • Scope — when the errors started appearing, and which users, customers, services, regions, or hosts are affected


  • Probable causes — resource exhaustion, network issues, software bugs, traffic spikes, etc.


  • Suggestions — how to stop the error occurring or how to continue the investigation


  • Supporting data — the query results and charts that led the LLM to its conclusions, so you can validate that the model isn't hallucinating






How It Works





's most advanced AI models, ensuring all data is processed within the AWS ecosystem — prompts and responses are never stored or shared with model providers or third parties.






Why It Actually Makes Life Easier





  • No prompt required — just click on a log event. The LLM analyzes and understands the error, writes its own filter to find similar occurrences, and scans the data autonomously


  • Concise reports — goes straight to the point, with charts included to maximize the information density


  • Fast — in most cases the report is streamed to the user in under 10 seconds, even though tens of queries are run per investigation, thanks to the speed of Bronto's search engine









Availability



BrontoScope is currently available on request and is being used internally by the Bronto team as well as by a number of design partner customers in real-world situations. Improvements will be made in the coming months.



This is just one of the AI features being developed at Bronto — stay tuned for future posts, or

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