Sentry focuses on capturing application errors and stack traces. Atatus connects errors with performance bottlenecks, traces, logs, infrastructure signals, and real user impact giving engineering teams complete production context in one place.
Application errors are a symptom, not always the root cause. A pod running out of memory, a database connection pool at capacity, or a downstream service returning elevated latency can each produce error spikes at the application layer — but none of those causes are visible inside an error tracking tool. Resolving them requires host metrics, log context, and trace data in the same view, correlated by time and request ID. Atatus collects all of these signals natively and surfaces them together, so your team can identify the actual failure point without reconstructing context from multiple tools during an active incident.
Atatus monitors CPU, memory, disk, and network per host. On Kubernetes, it tracks pod status, node resource usage, and container restarts. All metrics appear on the same timeline as your APM traces and error events.
Atatus ingests structured and unstructured logs from your application and servers. Logs are searchable in real time with field-level filters and automatically linked to the APM trace they belong to — no separate log tool needed.
Atatus runs HTTP, API, and multi-step transaction checks from multiple global locations. SSL expiry alerts, response time thresholds, and content validation give you proactive coverage on top of reactive error monitoring.
Sentry is strong at application-layer visibility. These are the gaps that prompt teams to look for more.
Atatus shows CPU, memory, and disk per host on the same timeline as your error rate. When a host event precedes an error spike, both are visible together without opening a second tool.
Atatus attaches the surrounding log lines to each error event and APM trace automatically. No separate search, no tab switching, no manual timestamp matching.
Atatus monitors pod health, node resource usage, container restarts, and deployment status — correlated with application traces. Sentry has no cluster-level visibility.
Atatus links browser-side errors and session replays to the full backend APM trace, including individual DB queries. Core Web Vitals — LCP, INP, CLS, TTFB — are tracked per page, device, and geography.
Atatus runs HTTP, API, and multi-step transaction checks from global locations with configurable response time thresholds, SSL certificate alerts, and escalation rules.
Atatus is SOC 2 and GDPR compliant with role-based access control, audit logs, and data encryption in transit and at rest. On-premises deployment is available for data residency requirements.
Side-by-side technical breakdown across every major observability domain.
Distributed tracing across all service hops with full span detail
Slow query detection, N+1 identification, per-query frequency analysis
External service latency and failure rate per dependency
Auto-instrumentation for Node.js, PHP, Java, Python, Ruby, .NET, Go
Traces correlated with logs and infrastructure metrics in one view
Background job and queue tracing with latency and failure visibility
Distributed tracing available across all supported platforms
DB query spans visible in traces; per-query diagnostic depth varies by SDK
HTTP and external spans visible; per-dependency impact reporting limited
SDK support for 30+ languages and 100+ frameworks
Traces linked to errors and replays; infra correlation not available
Cron monitoring available; in-depth background job APM is limited
“We used Sentry for errors and a separate tool for logs. Every time an incident came in, we'd have Sentry open in one tab and the log aggregator in another, manually matching timestamps to understand what happened. Moving to Atatus meant both were in the same place. When an error fires, the log context is already there.”
We have had direct conversations with engineering teams who evaluated Atatus while actively using Sentry. The same questions come up every time. Here are direct answers to each of them.
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.
14-day free trial. Full platform. No credit card required. Migration support included. Join with teams who switched from Sentry · Average setup time: under 10 minutes