One platform for application health and everything around it.
Sentry is a strong, developer-first error tracker: stack traces, error grouping, and release health, done well. Randoli starts from a broader base of metrics, logs, and traces across every workload, and folds application errors, release health, infrastructure, cost, and security into that same system.
Where it actually differs
Primary job
Covers infrastructure, metrics, logs, traces, cost, and security, with application errors as one signal among them, not the whole story.
Code-level errors, stack traces, and release health. That's the job, and it does it well.
Application health today
Already has availability monitors, RED metrics, and real-time log monitoring. This isn't purely an infrastructure story.
Application health is tracked through errors and performance transactions, the lens the whole product is built around.
Release health
Marks deployments and config changes directly on RED metric and resource-usage graphs, so a release shows up next to its actual effect.
Tracks crash-free session and user rates per release, a purpose-built view of release quality from the error side.
Cost & security
Built-in Kubernetes cost attribution and CVE/CIS security posture, on the same pipeline as everything else.
Out of scope. Cost attribution and security posture aren't part of what Sentry does.
Incident response
Raiya correlates infrastructure, metrics, logs, traces, and cost signals, then executes the runbooks your team has approved.
Surfaces the error and its stack trace. Correlating it against infrastructure or cost state is a separate step, elsewhere.
Where Sentry still goes deeper
Surfaces errors through logs and traces correlated with the rest of the pipeline. It doesn't try to replicate a dedicated issues workflow.
A purpose-built issues inbox, session replay, and suspect-commit detection are real depth here, genuinely, that a broader platform doesn't match feature for feature.
Extending the investigation
Raiya can pull in commit history and other context through pluggable MCPs and custom runbooks, an extensibility angle rather than a fixed feature set.
Suspect-commit detection is automatic and built in, no configuration required to get a first guess at the responsible change.
Why teams consolidate onto Randoli
Sentry's developer workflow is genuinely good: error grouping, stack traces, suspect-commit detection, and session replay are real depth built specifically for that job, and teams that only need application error tracking are well served by it.
Teams consolidate onto Randoli when application errors need to sit next to everything else that explains them: the infrastructure state, the cost impact, the security posture, and an agent that can correlate all of it and act. Randoli's broader starting point means that's already the same system, not a second tool bolted alongside the first.