Operational logs across the estate
Collect network syslog and documented OS, application, database, middleware, container, cloud and integration logs. Bring their events into a common operational view with explicit source and entity attribution.
Logs, syslog, OTLP & operational events
Read the event in the context of the incident.
A log line is useful when you can connect it to the system, service and change behind it. AmrudAi brings operational logs and syslog together with metrics, Flow, topology and investigation evidence so teams can move from a message to a focused next check.
The application experience
Logs & operational events
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Logs, Syslog & Operational Events — illustrative product view with sample data. Illustrative product view · Sample data
Search normalized events while preserving raw messages, provenance and service context. A thousand events should not mean a thousand searches.
Find the event that explains the incident.
Search logs and syslog by entity, service, severity and time. AmrudAi preserves the original event alongside parsed fields and connects operational events with metrics, paths, topology and configuration changes, helping engineers move from a message to a supported explanation.
The capability in detail
Connect detailed events with the wider operational picture.
Structured parsing and source context
Preserve message boundaries, multiline structure, parser provenance and malformed or partial-record status. Normalized severity, timestamps and useful attributes make different sources searchable without concealing how the record was interpreted.
OpenTelemetry logs and trace context
Ingest structured OTLP logs with resource and instrumentation-scope metadata, severity, attributes and trace/span references. Connect a log to its service, metric or available trace evidence while maintaining a shared incident time window.
Live and historical investigation
Inspect current operational events and search retained logs by entity, service, site, severity and relevant fields. Event time and ingest time remain distinguishable, helping teams assess late records during a fast-moving incident.
One entity across signals
Resolve logs to the same device, host, container, database or service used by metrics, Flow and NCM. Follow an interface event to its traffic, path and configuration context without treating each data source as a different resource.
Evidence-qualified event handling
Feed log and syslog observations into the common qualification and correlation workflow. Keep raw event references, source quality and supporting observations visible when an event contributes to an alert or root-cause hypothesis.
Incident snapshots and preservation
Attach selected records and log-window references to Investigation Sessions and the Incident Flight Recorder. Retain the source, event time and correlation context so the evidence remains useful during escalation and post-incident review.
Controlled forwarding to other systems
Forward governed operational records to SIEM or other configured destinations through independent delivery queues. Retry, quarantine, replay and destination-health visibility keep a downstream problem from silently obscuring the forwarding state.
Retention, access and sensitive fields
Apply tenant and resource access controls, retention profiles, bounded queries and sensitive-field minimization or redaction. Operators and approved AI assistance receive the evidence permitted for their scope.
Ingestion health that stays visible
Monitor freshness, parser outcomes, rejected or dropped records, backlog and forwarding failures. Collection or delivery gaps are shown as evidence-quality conditions so an empty search result is interpreted with the necessary context.
From information to action
Turn a log message into a connected investigation.
- 01
Choose the service and time
Open the log view from the affected entity or incident, preserving the service scope and event window.
- 02
Inspect the meaningful records
Filter severity, source and attributes; inspect parsing, event time and related trace or resource context.
- 03
Correlate the supporting signals
Compare metrics, Flow, topology and changes to determine which explanation fits the observations and which checks remain useful.
- 04
Preserve and share the evidence
Attach the selected records and context to the investigation or linked ticket, with the applicable retention and access controls.
Built around your operating environment
Fit the way your team operates.
Design log sources, transport, volume and retention around operational investigation and your data policy.
- Network syslog plus OS, application, database, middleware, container and cloud logs.
- OTLP structured logs with resource, service and trace/span context.
- Parser quality, ingest freshness, backlog and dropped/rejected-record visibility.
- Controlled forwarding, retention, redaction and tenant/resource access.
Connect the workflow
How are logs collected, protected and investigated?
Can logs be correlated with network and infrastructure data?
Yes. Canonical identity and the shared time context connect a log record to the same entity used by metrics, Flow, topology, configuration and incident evidence. This lets teams investigate across the signals instead of rebuilding the context.
How does AmrudAi handle multiline or malformed messages?
Ingestion preserves configured message boundaries and parser provenance, and reports malformed or partial-quality outcomes. Operators can assess how a record was normalized and distinguish parsing problems from the underlying operational event.
Can we keep our existing SIEM?
Yes. Governed forwarding and integration connect operational logs to the configured destination. Per-destination queue and delivery health, retry and replay help maintain a visible handoff while operational investigation continues in AmrudAi.
Can a missing log stream make a system look healthy?
Collection freshness and quality remain visible alongside the search results. A silent or delayed source is treated as an evidence gap rather than proof that the source had no errors or that the monitored service was healthy.
See the workflow in your environment.
Explore the technology, service dependencies and operating requirements that matter to your team.