Logz.io APM
Logz.io APM: Cloud APM with tracing, RUM, log correlation, and AI investigation. Ranked #20 of 37 in Application Performance Monitoring by our editors (7.5/10); pricing: 14-day trial; best for cloud teams managing distributed applications.
At a glance
- Editor score7.5 / 10
- Pricing14-day trial
- Best forCloud teams managing distributed applications
- Free planNo
- Paid from$0.16/unit usage-based
- Distributed tracingYes
- Founded2014 · Boston, United States (U.S. headquarters)
- Facts checked21 Sep 2026
Where it wins
- Combines tracing, RED metrics, RUM, synthetic monitoring, and service maps
- Correlates traces with logs and metrics using OpenTelemetry
- Adds anomaly detection and AI-powered investigation
Where it doesn't
- No free plan is available
- Annual pricing starts at $0.16 per 1 million spans per day
- Enterprise pricing requires a custom quotation
Our verdict on Logz.io APM
Logz.io APM is a fully managed SaaS application performance monitoring platform for DevOps and engineering teams managing distributed cloud applications. It combines metrics, distributed tracing, real user monitoring, synthetic monitoring, service maps, alerting, anomaly detection, and AI-assisted investigation. OpenTelemetry supports instrumentation and collection, while the platform correlates end-to-end transactions with logs and metrics. Teams that need visibility across services, dependencies, user experiences, and application behavior will find its scope well aligned with cloud operations.
Pricing is consumption-based rather than organized around a conventional monthly per-user plan. The Distributed Tracing consumption plan starts at $0.16 per 1 million spans per day with annual billing, includes 10 days of default retention, and offers monthly billing at 1.2x the annual cost. The displayed rate applies to the AWS us-east region, while other regions may differ. The Enterprise plan uses custom quotation. There is no free plan, but a 14-day free trial is available. This structure suits teams that can forecast trace volume and prefer usage-based billing, but it requires closer attention to ingestion levels than a fixed-seat model.
The platform’s strongest distinction is breadth across application signals and investigation workflows. Distributed tracing supports end-to-end transaction analysis, R.E.D. metrics cover service performance, and service maps visualize dependencies. Integrations include OpenTelemetry, Jaeger, OpenSearch, Prometheus, OpenTracing, and Zipkin. AI-powered investigation extends across metrics, anomalies, and trends, while trace and log correlation helps connect service behavior with operational context. Logz.io APM is a good fit for cloud teams that want a broad, managed APM stack with RUM and AI investigation. Teams seeking a free plan, open-source software, or a simple fixed-price monitoring tool should look elsewhere.
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Logz.io APM pricing
All 2 Logz.io APM plans and prices →
Logz.io APM fact sheet
| Free plan | No |
|---|---|
| Paid from | $0.16/unit usage-based |
| Distributed tracing | Yes |
| Transaction tracing | Yes |
| Dependency mapping | Yes |
| Real user monitoring | Yes |
| Log correlation | Yes |
| Deployment model | Cloud |
| Free trial | 14 days |
| Deployment | Cloud |
| Platforms | Web |
| Integrations | 6 integrations: OpenTelemetry, Jaeger, OpenSearch, Prometheus, OpenTracing, Zipkin |
| Pricing | 14-day trial (source) |
| Website | logz.io |
| Facts checked | 21 Sep 2026 |
Logz.io APM integrations
Logz.io APM lists 6 integrations on its own site.
- OpenTelemetry
- Jaeger
- OpenSearch
- Prometheus
- OpenTracing
- Zipkin
Alternatives to Logz.io APM
- Elastic APMA flexible APM for teams that want open deployment and broad observability.9.4
- MiddlewareFlexible hybrid APM with broad telemetry coverage and usage-based paid pricing.9.3
- Dynatrace Application MonitoringA broad hybrid APM platform for enterprise teams that need end-to-end visibility.9.2
See all Logz.io APM alternatives →
Also Ranked In
Logz.io APM is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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