What stands out most is the visibility. It gives a clear record of API calls and user activity across AWS, which is extremely useful for security audits and debugging issues.
From a usability standpoint, setup is simple and it runs quietly in the background without much maintenance. The UI itself is basic, but once you integrate it with tools like SIEMs, it becomes much more powerful for analysis.
Integrations are strong, especially within the AWS ecosystem. It works seamlessly with services like CloudWatch and external tools, which helps in building a proper monitoring setup.
Performance has been reliable, and logs are captured consistently without delays. In terms of ROI, it adds a lot of value for compliance and incident tracking with relatively low effort.
Support and documentation are solid, as expected from AWS, so onboarding is not a big issue. There are no major AI features used directly, but the data it provides can be leveraged by other tools for advanced analytics. Análise coletada por e hospedada no G2.com.
The biggest downside is that raw logs are not very easy to work with. The UI is quite basic, and if you’re not using something like CloudWatch or a SIEM, analyzing events can feel tedious.
Costs can also add up depending on how much data you’re logging, especially if you enable advanced features or store logs long-term. You need to be mindful of configurations to avoid unnecessary charges.
While integrations within AWS are strong, getting everything structured and usable still takes some setup effort. There’s also no real AI or smart insights built in, so most analysis has to be done manually or through external tools.
Overall, it’s reliable, but not very user-friendly on its own and needs other tools to unlock full value. Análise coletada por e hospedada no G2.com.
