Stop Paying Per GB. Get Full Observability Beyond What LogDNA Can See.

Atatus includes 90-day retention across logs, traces, metrics, and infrastructure data on all paid plans, no tier upgrade or enterprise negotiation required. This is a significant difference from LogDNA where meaningful retention depth requires stepping up to higher plan tiers. For teams needing retention for compliance audit trails, post-incident retrospectives, or seasonal trend analysis, 90 days of included retention eliminates a common LogDNA pain point without additional cost.

Atatus uses flat per-host pricing, you pay based on the number of servers or containers you're running, not the volume of log data they generate. Whether your logs grow from a traffic spike, a verbose debugging session, or a new microservice deployment, your Atatus bill doesn't change. For teams who have experienced sticker shock from LogDNA's per-GB billing during high-traffic periods or debug sessions, Atatus's flat pricing removes that risk entirely. You can log as verbosely as needed without worrying about cost impact.

Atatus delivers sub-2-second search across billions of log entries using full-text search, regex patterns, and field-level filtering. LogDNA is also known for fast search, it's one of the features users consistently praise. The key difference in Atatus is what happens after you find the log: in Atatus, every log entry links directly to the distributed trace that generated it and the infrastructure metrics at that moment. In LogDNA, the log is the endpoint of your investigation. In Atatus, the log is the starting point of a deeper root cause analysis.

Yes, Atatus has native Kubernetes log collection that deploys as a DaemonSet and collects logs from all pods across your cluster automatically. Beyond just collecting container logs, Atatus also monitors Kubernetes pod health, container restarts, resource utilization, and node metrics from the same agent deployment. When a pod crashes and generates an error log, you can see the log, the pod's memory usage leading up to the crash, and any related traces correlated automatically in a single view, not across three separate tools.

Yes. Atatus automatically detects and parses JSON log formats from any source. Once parsed, you can filter and search on any nested field within the JSON structure without any pre-configuration or custom parsing rules. Atatus also auto-parses common log formats from NGINX, Apache, MySQL, PostgreSQL, Docker, Kubernetes, and 20+ other platforms. For teams dealing with log format inconsistencies across services - a common frustration that Atatus normalizes formats automatically without requiring you to write a custom parser for each service.

Yes, Atatus includes exclusion rules, variable retention policies, and intelligent log sampling to manage log volume and storage costs. You can drop noisy, low-value logs at the pipeline level before they consume storage. You can set different retention periods for different log types keeping error logs for 90 days while dropping verbose debug logs after 7 days. Additionally, because Atatus uses flat per-host pricing rather than per-GB billing, you have less financial pressure to aggressively exclude logs in the first place, you can afford to keep more context for better debugging without worrying about per-GB overage charges.

The recommended approach is to run both tools in parallel for a 5–7 day validation period. Install the Atatus agent on your infrastructure, it takes under 15 minutes and begins collecting logs, APM traces, and infrastructure metrics immediately. Keep LogDNA running during this period to validate Atatus log collection matches your expectations before decommissioning. Our onboarding engineers provide free migration support for all customers, including help recreating saved views, alert configurations, and dashboards in Atatus. Historical logs from LogDNA cannot be imported, but new logs are captured immediately from the moment Atatus is deployed.