Don't stop at errors. Understand system behavior end-to-end.

Sentry's error intelligence suspect commits, regression detection, ownership rules is genuinely strong and among the best in the market. Atatus provides robust error grouping by root cause, affected user count, impacted URLs, and environment, and links every error directly to its APM trace and surrounding log context. Where Atatus adds significant value is in the full picture at error time: not just the stack trace, but the backend trace, the log lines, and the infrastructure state that surrounded the failure. Teams who need the deepest possible error intelligence alone should evaluate both carefully. Teams who find themselves constantly pivoting to other tools after Sentry fires an alert tend to find Atatus's correlation model resolves incidents faster.

Sentry's Logs product is a meaningful step and worth evaluating if you're already deep in the Sentry ecosystem. That said, Atatus's log management is a mature, native capability not a new product in early availability. It includes full-text search across structured and unstructured logs, field-level filtering, log anomaly detection, and automatic correlation to APM traces and errors. The bigger gap that Sentry Logs doesn't address is infrastructure visibility: no host metrics, no Kubernetes health, no container-level monitoring. If your incidents regularly involve infra signals alongside application signals, that gap remains.

Most teams are fully instrumented with Atatus within a day. Atatus auto-instruments Node.js, PHP, Java, Python, Ruby, and .NET with no manual code changes required. The recommended approach is to run Atatus in parallel with Sentry for one to two weeks, validate coverage and alert parity, then cut over. Our support team provides direct migration assistance on every paid plan including help mapping your existing alert rules, ownership assignments, and dashboard configurations into Atatus. There is no additional charge for migration support.

Atatus provides full APM and backend tracing for Node.js, PHP, Java, Python, Ruby, and .NET with auto-instrumentation. Browser monitoring supports all major JS frameworks. Mobile covers iOS and Android natively. If you are running a large number of services across uncommon runtimes, it is worth checking Atatus's coverage against your specific stack before committing. Sentry's SDK coverage breadth is broader. Atatus's advantage is in the depth of correlation between layers for supported stacks not in matching Sentry's coverage of every language on earth.

This is one of the most common reasons teams evaluate Atatus. Sentry bills based on event volume and when you enable session replay, distributed tracing, and error monitoring simultaneously, the volume compounds in ways that are hard to predict. Atatus's paid plans have transparent, predictable pricing without per-event volume fees. You get full access to APM, logs, infrastructure monitoring, RUM, and session replay without worrying about which features you can afford to turn on. We recommend requesting a custom quote for your traffic profile to compare directly.

Sentry's Seer AI root cause analysis and auto-fix suggestions is a genuinely useful capability. Atatus includes AI-assisted anomaly detection for logs and infrastructure metrics, and surfacing root cause context is part of how errors are presented. However, if Seer's AI-generated fix suggestions are a core part of your current workflow, that specific capability is worth evaluating head-to-head in a trial. The advantage Atatus brings to root cause analysis is context breadth: when the AI (or your engineer) is looking at an error, the surrounding infrastructure state and log context are already in the same view not in another tool.

Both. Atatus monitors your Kubernetes cluster natively pod health, node resource usage, deployment status, and container restart tracking and correlates that data with your APM traces and error events. If a pod starts thrashing memory and your API error rate spikes thirty seconds later, Atatus surfaces both signals in the same incident timeline. Sentry has no cluster-layer visibility whatsoever.