Dynatrace
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What is Dynatrace
Dynatrace is an observability platform that collects and correlates metrics, logs, traces, and user experience data to monitor applications and underlying infrastructure. It is used by SRE, DevOps, platform engineering, and IT operations teams to detect incidents, analyze performance issues, and understand service dependencies across cloud and on-prem environments. The product centers on automated instrumentation, topology/dependency mapping, and AI-assisted event correlation to reduce manual triage. It also includes digital experience monitoring capabilities such as real user monitoring and session replay for web and mobile applications.
Broad full-stack coverage
Dynatrace supports application performance monitoring alongside infrastructure, container/Kubernetes, network, database, and log monitoring in a single platform. This breadth helps teams avoid stitching together multiple point tools for end-to-end visibility. It is commonly deployed across hybrid environments, including major public clouds and on-premises data centers. The unified data model supports cross-domain troubleshooting (for example, linking a user-impacting slowdown to a specific service, host, and database dependency).
Automated discovery and mapping
The platform automatically discovers services and builds dependency/topology maps, which helps teams understand how components interact without maintaining diagrams manually. This is useful in microservices and containerized environments where service relationships change frequently. Automated instrumentation reduces the effort required to start collecting traces and service-level telemetry. The resulting service context supports faster root-cause analysis than tools focused mainly on front-end analytics or feedback capture.
AI-assisted alert correlation
Dynatrace includes AIOps-style capabilities that correlate events and anomalies to reduce alert noise and group related symptoms. This can improve on-call workflows by prioritizing incidents that affect key services or user experience. The approach is oriented toward operational monitoring and incident triage rather than experimentation or conversion optimization. It is particularly relevant for enterprises managing many services and environments.
Complexity and learning curve
Because Dynatrace spans many monitoring domains, configuration, governance, and day-to-day usage can be complex for smaller teams. Users often need to learn platform concepts (entities, services, management zones, alerting rules) to get consistent outcomes. Organizations may require dedicated administrators to manage standards across teams. This can be heavier than adopting a narrower tool focused only on session replay or product analytics.
Cost and licensing management
Pricing is typically usage-based and can be difficult to forecast as telemetry volume and monitored entities grow. Teams may need ongoing controls to manage ingestion, retention, and coverage to avoid unexpected spend. Multi-team environments can also require chargeback/showback processes. This is a common trade-off for consolidated observability suites compared with single-purpose tools.
Not a primary bug tracker
While Dynatrace can surface errors, exceptions, and performance regressions, it is not a dedicated issue tracking system for managing software development backlogs. Most organizations still rely on separate tools for ticket workflows, sprint planning, and developer collaboration. Integrations can bridge alerts to tickets, but the core product remains focused on observability and operations. Teams seeking deep product analytics or CRO workflows may also need additional specialized tooling.
Plan & Pricing
Application & Infrastructure Observability (tiered plans — listed monthly equivalents and billing units):
| Plan | Price | Key features & notes |
|---|---|---|
| Foundation & Discovery | $7 per month per host* | Basic host health indicators, host & process topology detection, filesystem monitoring. Billed at $0.01 per hour per host. |
| Infrastructure Monitoring | $29 per month per host* | Process, disk, memory, network analysis; log correlation; custom metrics. Billed at $0.04 per hour per host. |
| Full-Stack Monitoring | $58 per month per 8 GiB host* | APM, automated root-cause, code-level profiling, Kubernetes platform monitoring, OpenTelemetry metrics/traces. Billed at $0.01 per memory‑GiB‑hour; includes 10 days trace retention (extendable). |
Container observability (tiered/units):
| Plan | Price | Key features & notes |
|---|---|---|
| Kubernetes Platform Monitoring | $1.40 per month per pod* | Kubernetes metrics/events, topology; included at no additional charge on hosts with Full-Stack Monitoring. Billed at $0.002 per hour per pod. |
| Code Monitoring | $3.60 per month per container* | Live code troubleshooting, non-breaking breakpoints, IDE integrations. Billed at $0.005 per hour per container. |
Usage-based / Pay-as-you-go products (official rate-card summary):
Pricing model: Pay-as-you-go
Log Analytics (two models):
- Pay-per-Query: Ingest & Process $0.20 per GiB; Retain $0.0007 per GiB-day; Query $0.0035 per GiB-scanned.
- Bundled Queries: Ingest & Process $0.20 per GiB; Retain with included queries $0.02 per GiB-day (minimum retention days apply).
Digital Experience Monitoring (RUM & Synthetic):
- Real User Monitoring: $2.25 per 1,000 sessions ($0.00225 per session).
- Real User Monitoring with Session Replay: $4.50 per 1,000 sessions with replay ($0.0045 per session with replay capture).
- Browser monitor (synthetic): $4.50 per 1,000 synthetic actions ($0.0045 per action).
- HTTP monitor: $1 per 1,000 synthetic requests ($0.001 per request).
Application Security:
- Runtime Vulnerability Analytics: $13 per month per 8 GiB host* (billed $0.00225 per memory‑GiB‑hour).
- Runtime Application Protection: $13 per month per 8 GiB host* (billed $0.00225 per memory‑GiB‑hour).
- Security Posture Management: $5 per month per host* (billed $0.007 per host‑hour).
Platform/other rate-card items (selected):
- Metrics (Grail) Ingest & Process: $0.15 per 100,000 metric data points; Retain $0.0007 per GiB-day.
- Traces (Grail) Ingest & Process: $0.20 per GiB; Retain $0.0007 per GiB-day; Query $0.0035 per GiB-scanned.
- Automation Workflow: $0.03 per workflow-hour.
- AppEngine Functions (Small): $0.001 per invocation.
- Various "classic" platform extensions (custom metrics, log monitoring classic, custom traces/events, serverless classic) priced per 1k units as listed on the official rate card.
Notes:
- Many listed monthly prices are shown as equivalents; official billing units are hourly (host-hour, memory‑GiB‑hour), per‑GiB, per‑session, or per‑invocation as shown on Dynatrace rate card. Volume and multi‑year discounts available; contact sales for enterprise pricing and local currency conversion.
*All prices and billing units taken from Dynatrace official pricing and rate‑card pages. See the vendor rate card for full line‑items and deployment‑dependent availability.
Seller details
Dynatrace, Inc.
Waltham, Massachusetts, USA
2005
Public
https://www.dynatrace.com/
https://x.com/dynatrace
https://www.linkedin.com/company/dynatrace/
