Trace, log, and metric signals aligned in one serious incident workflow.
Tracefox unifies observability across every service so your team can move from alert to root cause faster, reduce noise, and keep reliability visible.
AI-assisted triage with strict tenant boundaries and audit trails.
Live signal clarity
Correlate incidents in seconds with unified timelines, service maps, SLO burn-rate tracking, semantic search, and AI summaries.
Why teams move to Tracefox
Signal fusion
Traces, logs, and metrics in a single UI with fast pivoting.
Real-time context
Live service maps and dependency graphs that update as you deploy.
AI-assisted triage
Summaries, hypotheses, and hot spots anchored to real telemetry.
SLO guardrails
Burn-rate alerts and budget tracking that keep teams aligned.
Tenant-safe by design
Scoped keys, bounded queries, and strict data isolation defaults.
Incident workflow, stitched end to end
Every incident follows the same structured path, so responders always know where to look next. Tracefox keeps each stage tied to the same timeline, owner, and telemetry context.
Alerts auto-cluster by service, deploy, and signal signature.
AI summaries highlight regressions, hot spans, and suspect changes.
Runbooks, owners, and status updates live next to the data.
Post-incident synthesis feeds back into alert tuning and SLOs.
One incident, every signal attached
Alerts, deploy markers, traces, and logs live on a shared timeline so the on-call can pivot without losing context.
Operators see the story, not a dozen tabs.
Take the product tour
Walk through the core workflows: signal unification, AI triage, service mapping, and SLO burn analysis.
Unified explorer
Pivot between traces, logs, and metrics without losing the timeline.
AI incident briefs
Summaries, suspects, and next steps anchored to telemetry evidence.
Service maps
Live dependencies and latency edges updated on every deploy.
SLO insights
Burn-rate context and error budgets tied to incidents.
AI copilots that work like seasoned SREs
Copilots stay grounded in your telemetry, execute safe queries, and leave audit trails for every suggestion so teams can trust the output.
Anomaly triage copilots
Auto-summarize spikes with top services, deployments, and error signatures.
Semantic log + trace search
Natural-language questions compile into safe, tenant-scoped ClickHouse filters.
Alert tuning assistant
Detect noisy rules and recommend thresholds, grouping, and dedup strategies.
SLO burn analysis
AI explanations tie budget burn to endpoints, traces, and deploys.
Auto-generated runbooks
Draft remediation steps linked to dashboards, queries, and owners.
Service dependency mapping
Live service graphs highlight anomalous edges and latency regressions.
Query safety advisor
Preflight analysis warns on expensive patterns before execution.
Ingestion validation intelligence
Detect schema drift, malformed payloads, and cardinality explosions.
Customer-facing insight reports
Weekly AI summaries of health, incidents, and regressions per tenant.
Post-incident timeline synthesis
Auto-create incident timelines from alerts, deploys, and trace spikes.
From symptom to root cause
Tracefox links every log line, metric spike, and span to the same incident timeline. No more jumping between dashboards.
“We can finally see the full chain of events without leaving the page. That saved us hours during our last outage.”
— Reliability Lead, Series B Fintech
Signals converge into one workspace
Traces, logs, metrics, and RUM are stitched to the same incident so responders can see correlations instantly.
Profiling and SLO context stay pinned to the same story.
Operational clarity across every surface
Tracefox is built for teams that need to move quickly without losing confidence. Every surface connects back to the same source of truth.
Shared incident board
Live status, assignments, and timelines in one collaborative workspace.
Deep service context
Trace waterfalls, log pivots, and deploy diffs stay linked to the incident.
Executive visibility
Weekly reliability briefings auto-generated from incident history.
Cost-aware telemetry
Usage caps and query guardrails keep spend predictable.
Everything you need to run production
RUM + frontend insight
Connect browser performance with backend traces.
Profiling
Expose hot paths and CPU bottlenecks in real time.
Incident workflows
Track status, ownership, and follow-ups from one place.
Billing + usage
Keep costs visible with usage summaries and caps.
Integrations that match your stack
OpenTelemetry-native ingestion with curated quickstarts for common languages, cloud platforms, and alerting tools.
Popular stacks
Trusted by security teams
Tenant isolation, bounded queries, and audited AI actions are core to the product design.
- Encryption in transit and at rest
- Scoped API keys and tenant-safe defaults
- Audit trails for AI summaries and alerts
Customer outcomes
“We reduced MTTR by 45% because every signal points to the same incident narrative.”
— Platform Lead, enterprise SaaS
Frequently asked
How long does implementation take?
Most teams connect their first service in a day, then expand over 2-3 weeks.
What does Tracefox replace?
Teams consolidate APM, log search, and incident tooling into one workflow.
How is AI kept safe?
Copilots run tenant-scoped queries, log every action, and require approvals.
Ready to ship calmer on-call rotations?
Start with a guided demo, then connect your first service in minutes. We can help with architecture reviews, migration, alerting strategy, and AI guardrails.