Simplify AWS CloudTrail log analysis Simplify AWS Cloud Trail log analysis with natural language query generation in Lake (preview)
by Esra Kayabali | on 11 JUN 2024 | in Announcements. A re:Inforce, Feature, Launch, Management Tools, News | Permalink | Comments | Share
Voice by Polly
Today, I am happy to announce in preview the Europe Cell Phone Number List generative artificial. Intelligence (generative AI)–powere natural language query generation in. AWS CloudTrail Lake, which is a manage data lake for capturing, storing, accessing, and analyzing AWS CloudTrail activity logs to meet compliance, security, and operational needs. You can ask a question using natural language about these activity logs (management and data events) store in CloudTrail Lake without having the technical expertise to write a SQL query or spend time to decode the exact structure of activity events. For example, you might ask, “Tell me how many database instances are delete without a snapshot”, and the feature will convert that question to a CloudTrail Lake query, which you can run as-is or modify to get the requeste event information. Natural language query generation makes the process of exploration of AWS activity logs simpler.
Now, let me show you how to Simplify AWS CloudTrail log analysis start using natural language query generation.
Getting starte with natural language query generation
The natural language query generator Armenia Phone Number List uses generative AI to produce a ready-to-use SQL query from your prompt, which you can then choose to run in the query editor of CloudTrail Lake.
In the AWS CloudTrail console, I choose Query under Lake. The query generator can only generate queries for event data stores that collect CloudTrail management and data events. I choose an event data store for my CloudTrail Lake query from the dropdown list in Event data store.
