Atatus vs Graylog — The Full-Stack Alternative to Log Management

The migration is straightforward because Atatus uses lightweight agents and standard log shippers (compatible with Filebeat/Beats). You install the Atatus agent on your hosts, configure your log sources to forward to Atatus instead of your Graylog inputs, and you're live typically in under 15 minutes. Atatus's onboarding engineers are available to help with migration at no extra cost. The biggest change is that you also get to decommission your OpenSearch cluster, MongoDB instance, and Graylog nodes eliminating the infrastructure overhead that comes with self-managed Graylog.

Yes, Atatus provides log archiving with long-term retention for compliance and historical investigation, and intelligent log sampling and tiered storage to reduce storage costs. Atatus customers typically see 60% reductions in log storage costs compared to previous setups, going from figures like $20,000/month to under $8,000/month through intelligent sampling, compression, and pipeline-level filtering of noisy or low-value logs. You can configure retention policies per log source and set up log pipelines that drop redundant or debug-level logs before they hit storage at all.

Atatus ships with native integrations for Kubernetes, Docker, Apache, Nginx, MySQL, PostgreSQL, MongoDB, Redis, Kafka, and all major application languages (Node.js, Java, Python, Go, Ruby, PHP). Log collection from Kubernetes pods and containers is auto-discovered, you don't need to build custom parsers or configure content packs for common infrastructure. For Kubernetes specifically, Atatus also gives you the container-level APM and infrastructure metrics alongside the logs, so you see a complete picture of your Kubernetes environment in one place.

Atatus is focused on engineering and DevOps observability, it's not a replacement for Graylog Security if your primary use case is threat detection, SIEM, and SOC operations. Graylog Security's purpose-built SIEM features including adversary campaign intelligence, entity-centric risk scoring, prebuilt detection rules for cyber threats are genuinely specialized. If your team is evaluating Graylog primarily for log-driven engineering observability (debugging, incident response, performance analysis), Atatus is a stronger fit. If your primary driver is security and threat detection, Graylog Security should stay in your evaluation.

Yes, Atatus log pipelines let you parse, enrich, filter, and route logs in real time before they hit storage. You can drop noisy debug logs, extract structured fields from unstructured log text, add context (like environment tags or service metadata), and route specific log streams to different retention tiers. This gives you the signal quality control that Graylog pipeline rules provide, with a more visual configuration experience that doesn't require writing pipeline rule syntax.

This is one of Atatus's strongest differentiators. When your application logs an error, Atatus automatically links that log entry to the distributed trace that was active at the moment the log was written. From the log view, you can click directly into the trace waterfall, seeing the span-by-span execution across services, the database query that ran, and the downstream service calls involved. This connection between logs and traces is native in Atatus; in Graylog, trace IDs can be stored in log fields but there's no trace visualization layer - you'd need to copy the trace ID and open a separate APM tool.

Yes, Atatus is compatible with standard log shipping agents including Filebeat, Fluentd, and Logstash. If you're already collecting logs with these shippers and forwarding to Graylog, the migration typically involves updating the output destination in your shipper configuration. Atatus also supports the OpenTelemetry Logs protocol (OTLP) natively, so if your team is moving toward OpenTelemetry-based instrumentation, Atatus accepts OTLP log streams directly alongside traces and metrics from the same OTel pipeline.