Log Management and Analytics Solution

What a log management solution should deliver

Make logs searchable, governed, and useful in the same investigation

A production log workflow needs documented collection, consistent fields, controlled access and retention, and links to the service, host, container, trace, and alert that explain why the record matters.

Solution overview

Guance combines supported log collection with Pipeline processing, DQL queries, dashboards, monitors, and cross-signal context. Teams can start from an error or alert, narrow the relevant records, and validate the explanation with runtime and application evidence.

Operational challenges

Volume without context: Collecting more records does not identify which service, release, or user path is affected.

Inconsistent fields: Unstructured formats and changing schemas make the same incident difficult to query across sources.

Disconnected investigations: Logs isolated from metrics and traces force teams to rebuild the timeline manually.

Governance and cost pressure: Access, sensitive fields, retention, indexing, and storage need explicit policies.

How Guance supports the workflow

Collect documented sources: Use the supported DataKit, Syslog, HTTP, cloud, and application paths that match each source.

Standardise with Pipelines: Parse, remap, enrich, mask, and route records into fields teams can query consistently.

Correlate the evidence: Carry service, environment, version, host, pod, and trace identifiers into log investigations.

Govern the lifecycle: Apply workspace access, indexes, retention, archiving, and monitors according to operational value.

Investigation workflows

Search one incident across heterogeneous logs

Normalise first: Use consistent timestamps, services, environments, severities, and ownership fields before relying on shared queries.

Move from a log line into the affected service

Preserve correlation keys: Use trace IDs, service tags, host names, pods, versions, and request attributes to continue the investigation.

Reduce noise before it becomes storage and alert load

Process deliberately: Filter, sample, mask, and route data according to its diagnostic and compliance value.

Turn recurring patterns into monitors and dashboards

Operationalise the query: Promote validated searches into shared views and alert rules with clear owners and runbooks.

Continue exploring

Log management platform

Review the product capabilities, boundaries, and documented workflows.

Unified observability platform

Connect logs with metrics, traces, RUM, infrastructure, and incidents.

Real User Monitoring

Link browser and mobile impact to backend and log evidence.

Frequently asked questions

What problems should a log management solution solve?

It should support documented collection, parsing, search, access control, retention, dashboards, monitors, and investigation links to services and infrastructure. Exact coverage depends on the source and configured data path.

How does Guance connect logs with metrics and traces?

Use shared service, environment, version, host, pod, and trace attributes. Correlation depends on those fields being collected and normalised consistently.

How should teams control sensitive data and log cost?

Define collection scope, masking, indexes, retention, archiving, access, and sampling before rollout. Validate the current product and deployment documentation for the controls available in your edition.

Does centralising logs eliminate the need for source systems?

No. Source systems and cloud services may remain authoritative for platform-specific controls or original records. Guance provides a shared analysis and investigation layer for configured data.