Sentry was easy to learn compared to New Relic and Azure Monitor. I saw some valuable input. It took us the least amount of time to see how Sentry is valuable. It took just a few minutes. Session Replay provides a replay of the recorded errors. It is a good feature. Azure Monitor does not have this feature. The error reporting is straightforward. We can see everything that we need to see. The dashboard seems pretty fine. The product performs well. We can see the user's IP addresses.

Sentry plays a very wide role in your ETL pipeline. Apart from the application alerts, there are a few more other things that you need to cover when building your ETL pipeline, including sending metrics, generating logs, and storing them somewhere. For example, if you want to put such data into a warehouse while also being able to handle the exceptions. The exceptions get sent to Sentry, which has its orchestration mechanism of sending alerts to various teams, though it doesn't have an advanced orchestration mechanism, so we would just send an email to the respective teams in our company. Sentry has helped our company detect silent failures in our application site and has helped us many times to handle silent failures.

Tracking error logs is a great feature because Sentry provides a rich context with regards to the code and tracing issues across the entire stack with trace logs and things like that. It's great at capturing application performance metrics and error logs, things of that nature.

We find the feature of cause-stack information integrated with the Git repository valuable, which provides contextual information. So, for example, if a line was faulty or triggered an error, it identifies the SQL query that had been run or what values the variables in that context had. Hence, the context and insight it provides about the errors are vital features.

Sentry breaks everything down in real time.

The most valuable feature I have found is how easy grouping events is. 

For our very use case, Sentry is more accurate than some other tools such as Datadog thanks to its integration with Slack, GitLab, Jira, or other ticketing tools, error and performance reports as well as its easy to integrate with AWS Lambda (NodeJS). 

The error management is very good. For example, If you have an error that occurred in the frontend or a backend application, then Sentry will catch all contexts and will create an event log.

The solution's most valuable features are timely updates and tracing the origin of errors.

The most valuable feature is the ability to create and assign rules and give access to particular users.

The solution is user-friendly, and this is very valuable.

The most valuable feature we have found with Sentry is the security that it provides.