Log Analysis

Log analysis made easy — find root causes in seconds

Troubleshoot faster with live dashboards, grouped exception tracking, severity heatmaps, and a unified ticketing platform — across your entire infrastructure.

What's included

The complete log analysis stack

Real-time streaming logs

Fluent-bit agent-side shipper pushes application events to the console as they happen. Severity filtering, infinite scroll with virtualised rendering, time-range picker, CSV export.

Advanced search with regex

Full-text and regex search across your entire fleet. Log-context expansion, exception drill-down, and saved views with shareable links.

Auto-parsing & pattern detection

Logs are automatically categorised and recurring patterns surfaced — plus Windows Event Log collection runs daily.

Analytics dashboards

Volume-by-severity heatmaps, top services by error count, top recurring errors, error trend visualisation, and health scoring derived from log signals.

Threshold alerting

Alert on CPU, memory, disk, network, log volume, or custom metric thresholds — plus silent-device detection when expected log streams stop arriving.

Integrated ticketing

Open tickets in Jira, ServiceNow, or LynxTrac Helpdesk from any log event — email, Slack, webhook, and in-app delivery with custom templates and digest modes.

Exception tracking

Grouped stack traces, frequency distribution, and root-cause helpers. One alert per root cause, not one per occurrence. Windows Event ID statistics and trends included.

Dashboards per scope

One page per device, one per application, one per customer, and a vendor roll-up for MSPs — with heartbeats, events, and tasks in context.

Encrypted storage & retention

AES-256-GCM encryption at rest with configurable retention policies per scope and archival for long-term compliance.

Built for

Who uses log analysis at LynxTrac

Every team that touches production logs gets a tailored view — without forking the tool.

Application developers

Tail your service in real time, jump straight from an exception to the exact log line, replay a request across components.

Security teams

Threshold alerts on auth events, Windows Event Log collection with Event ID trends, CSV export, and retention that meets audit requirements.

IT operations

Unified view across servers, containers, and applications. Route noisy events out, route actionable ones to on-call via email, Slack, webhook, or in-app.

Support teams

Attach customer-specific log context to tickets automatically — close the loop on reproducible issues in minutes.

How it works

Collect · Analyze · Act

01

Collect

Fluent-bit ships logs from servers, containers, and applications — no code changes. Windows Event Logs pulled automatically.

02

Analyze

Auto-parsing, log-pattern detection, exception grouping, severity heatmaps, and top-error rankings surface what matters.

03

Act

Threshold alerts route to email, Slack, webhooks, or in-app. Open Jira, ServiceNow, or LynxTrac Helpdesk tickets automatically.

Key benefits

Less alert fatigue. Faster resolution.

  • Real-time streaming with severity filtering and regex search
  • Exception tracking with grouped stack traces and frequency distribution
  • Ticketing (Jira, ServiceNow, LynxTrac Helpdesk) and routing (email, Slack, webhook, in-app)
  • Windows Event Log collection and Event ID statistics
  • AES-256-GCM encryption at rest; configurable retention per scope
  • Dashboards per device, application, customer, and vendor
2026-04-17T10:42:11.003Z  api-gw   ERROR  conn refused: payment-svc
2026-04-17T10:42:11.045Z  api-gw   ERROR  conn refused: payment-svc
2026-04-17T10:42:11.089Z  api-gw   WARN   circuit-breaker OPEN: payment-svc

▶ LynxTrac grouped 47 events in 2.1s
▶ Opened ticket JIRA-4821 with full context
▶ Alerted #infra-oncall
FAQ

Common questions

What is live tail?
Live tail displays logs in real time as events happen, with infinite scroll, severity filtering, and virtualised rendering for large streams across the fleet.
How does automated analysis work?
Logs are auto-parsed and categorised; recurring patterns are surfaced, exceptions are grouped by stack trace with frequency distribution, and volume-by-severity heatmaps, top-error rankings, and Windows Event ID trends highlight regressions without manual queries.
Can I run on-demand analysis?
Yes — advanced search supports regex, full-text, and structured queries. Saved views, CSV export, log-context expansion, and exception drill-down are all built in.
How does exception tracking work?
Exceptions are auto-detected, deduplicated, and grouped. You get one alert per root cause, not one per occurrence.
How do tickets get filed?
Configure alert rules to open Jira, ServiceNow, or LynxTrac Helpdesk tickets the moment a threshold is breached — with full context and log links attached.

See your first incident resolved in minutes

Get started free — no credit card required. Live in under 2 minutes.