Platform
One pipeline. Every signal. Correlated by design.
Most observability stacks are three products glued together with hope. TraceLoop ingests logs, metrics and traces into a single store with one clock, one query language and one identity model — so correlation is a property of the system, not a feature request.
Capabilities
Eight pillars, one platform
Each pillar is production-grade on its own. Together they answer the only question that matters at 3am: what changed, what broke, and what do we do next?
Application performance
RED metrics, service-level objectives and endpoint analytics for every service — derived automatically from your traces, no dashboards to hand-build.
open →Infrastructure monitoring
Hosts, pods, nodes, functions and managed services. Utilisation and saturation per workload, with cost attribution down to the deployment.
open →Logs
Schema-on-read search over petabytes. Every log line carries its trace context, so one click jumps from text to the exact span that emitted it.
open →Distributed tracing
Tail-based sampling keeps every slow, erroneous or unusual trace and drops the noise. Waterfall, flamegraph and dependency-map views included.
open →Alerts
Burn-rate SLO alerts, seasonal anomaly detection and static thresholds, routed with full incident context to Slack, PagerDuty or Teams.
open →Incident investigation
Timelines assemble themselves: deploys, config changes, alerts, traces and logs merged into one narrative per incident.
open →Security & residency
UK and EU data residency, field-level log redaction, immutable audit trails, ISO 27001, SOC 2 Type II and GDPR by design.
open →Predictable pricing
Pay for retained data, not per host or per seat. Pre-aggregation and adaptive sampling typically cut ingest volume 40–70%.
open →Application Performance
Golden signals, automatically
TraceLoop derives latency, traffic, error and saturation metrics for every endpoint directly from trace data. Service dashboards exist before you write a single query.
- Per-endpoint p50/p95/p99 with deploy markers overlaid on every chart
- Error grouping that clusters stack traces into issues, with trace exemplars attached
- Saturation signals linked to the exact pods and queries causing back-pressure
- Continuous profiling hooks to see which line of code the latency lives on
checkout p99
142ms
▼ 8msauth p99
37ms
▼ 3mspayments p99
58ms
▲ 4mssearch p99
203ms
▼ 31msservice map
checkout-platform · dependency topology · live
Infrastructure Monitoring
From bare metal to serverless, one topology
TraceLoop maps every workload — VMs, Kubernetes pods, Lambda-style functions, managed databases — and keeps the map current as your autoscaler churns through instances.
- Auto-discovered topology that follows workloads across nodes and regions
- CPU, memory, disk and network saturation with noisy-neighbour detection
- Kubernetes-native views: deployments, replicas, restarts, OOM kills, evictions
- Cost attribution per service, team and environment from cloud billing feeds
How It Works
From zero to correlated in four steps
No professional-services engagement, no six-week onboarding. Most teams are investigating their first incident on TraceLoop the same afternoon.
01
Point an SDK or collector at TraceLoop
Use our agent, or stay pure OpenTelemetry. One endpoint, one token, mTLS by default. First spans appear in under five minutes.
02
Topology and dashboards build themselves
TraceLoop infers the service map, golden signals and dependency health from live traffic. No YAML, no dashboard JSON, no config sprint.
03
Set SLOs and let alerts earn trust
Define objectives on the SLIs we detect, tune burn-rate windows, and route alerts with the traces, logs and deploys already attached.
04
Investigate on one timeline
When something breaks, the incident view has already correlated the deploy, the anomaly, the traces and the logs. You just decide the fix.
ingest volume
GB/day · last 14 days · after adaptive sampling
adaptive sampling
traces kept by policy · last 24h
Every interesting trace kept; storage down 62% versus head sampling.
Security & residency
Data stays where you say it stays: UK and EU regions, customer-managed encryption keys, field-level redaction of PII before storage, immutable audit trails and SSO/SCIM for every seat. ISO 27001 certified, SOC 2 Type II audited, GDPR by design.
Predictable pricing model
No per-host penalties for autoscaling, no per-seat tax on read-only stakeholders. You pay for retained telemetry and the queries you run — and adaptive sampling usually shrinks that bill by 40–70% before you negotiate anything.
Ready to collapse eight tools into one?
Explore the platform in depth, read the docs, or talk to an engineer who has actually carried the pager.