Dynatrace vs. Grafana Cloud: keep the investigation, reconsider the collection

A team with Prometheus alerts, LogQL queries, and established Grafana dashboards has a natural place to start when it adds application tracing: Grafana Cloud. Another team investigates through OneAgent, following slow requests into processes, code, and host resources. Losing that evidence during migration matters more than losing a few dashboards.

Dynatrace and Grafana Cloud should be compared against those existing jobs. Dynatrace can preserve valuable application and resource visibility on supported technologies. Grafana Cloud can preserve open telemetry conventions, query skills, and Grafana assets. Both provide managed services and ready-made investigation workflows; the choice is more substantial than automation versus a collection of panels.

Guance Editorial Team · Reviewed October 21, 2026. This guide covers Dynatrace SaaS/DPS and Grafana Cloud. Self-managed open-source deployments and Dynatrace Managed have separate responsibilities and capabilities. We did not benchmark either platform.

Follow a slow service into its implementation

OneAgent Full-Stack Monitoring offers distributed tracing, code-level visibility, profiling, and process evidence on supported technologies. Coverage depends on runtime, version, and monitoring mode. A successful installation does not establish that every important business operation is captured. OneAgent support matrix

Grafana Cloud has application investigation workflows too. Its knowledge graph-powered Application Observability provides service catalogs, RED metrics, instrumentation-quality checks, and navigation across logs, traces, metrics, and profiles. The documentation distinguishes organizations onboarded before and after September 7, 2026. The newer experience still requires applications to send OTel data; it cannot infer a complete system from absent telemetry. Knowledge graph-powered APM

Database spans and propagated request context may explain a wait. Finding a CPU hot spot needs suitable profiling evidence. Design the collection around recurring investigations instead of making “automatic” the entire requirement.

Automatic collection has different levels of detail

Grafana Beyla uses eBPF to collect RED metrics and transaction-level spans for Linux HTTP/S and gRPC services. Kernel, BTF, permissions, and propagation requirements apply. Detailed business operations may still need language Agents or manual instrumentation. Its documentation also distinguishes services already instrumented with OTel SDKs to avoid duplicate tracing and metric generation. Beyla capabilities and limitations

Replacing OneAgent with Beyla therefore requires more than comparing request totals. Identify which thread, method, database, and resource details remain available for the actual runtimes. Conversely, an application already expressing business operations through OTel need not redefine every span merely because its backend changes.

Dynatrace supports OTel as well. Its Span Sensor can capture OTel API calls as OneAgent data; simultaneously exporting the same spans through OTLP can produce duplicates. Sending one existing stream to two destinations differs from recording each operation twice. OneAgent and OTel

Preserve the meaning of existing queries

Given a trace ID, a Loki user can narrow the search with stable service and environment labels, then filter for the request. Making every request ID a stream label creates many streams. High-cardinality values belong in an appropriate representation, such as structured metadata. Loki labels, structured metadata

These conventions require maintenance, but Grafana Cloud can organize the resulting data through its application and correlation views. Existing PromQL and LogQL skills remain useful. A move to Dynatrace requires mapping queries and entities into its Grail/DQL workflows rather than copying dashboard names.

Alert meaning deserves particular care. Error counts, error rates, and failed-request ratios may use different sources or sampling paths. A lower curve after migration can indicate better service behavior—or a different denominator. Compare the same time interval and request population before judging anomaly detection.

Log costs include writing and revisiting data

Current Grafana Cloud Logs meters processed, written, retained, and excess queried volume. Dropping data with Adaptive Telemetry reduces written volume without undoing processing already performed. Its monthly query allowance is one hundred times written log volume. Paid accounts have a thirty-day base retention period, with additional retention metered separately. Loki's indexing design alone does not determine the managed-service bill. Logs billing

For example, a stack writing 100 GB in a month has a 10,000 GB query allowance. Querying 12,000 GB leaves 2,000 GB in the excess-query dimension. That arithmetic excludes processing, writing, additional retention, and product charges; it is not a dollar quote.

Dynatrace's standard log model separates ingestion and processing, retention, and queries. Retain with Included Queries instead covers a configured time window, subject to a daily scan allowance of fifteen times the retained GiB within that window. Dynatrace states that its team will help evaluate and optimize excess consumption. Older data outside the window follows the applicable separate rules. Neither platform should be described as having universally free queries or a separate charge for every query. Dynatrace log models

Compare the complete application bill

Grafana Cloud Application Observability charges for host hours and the telemetry produced. Customers starting on or after February 13, 2026 do not receive the older model's telemetry credits. Earlier customers must account for their higher host-hour rate and applicable credits. Building application dashboards and alerts from basic telemetry without using that APM product avoids its host-hour charge, while telemetry and visualization charges remain. Serverless has separate treatment. Application Observability billing

Dynatrace host-based Full-Stack consumption depends on host RAM and monitored time. Physical and virtual hosts have a 4 GiB minimum, rounded upward in 0.25 GiB increments, with fifteen-minute billing intervals. Ten 8 GiB hosts and ten 64 GiB hosts produce different memory GiB-hours. Application-only container monitoring has its own rules. Full-Stack consumption

Grafana Cloud metrics separately consider active series and data-point frequency. Counting metric names is insufficient: a new high-cardinality label can create many more series without adding hosts. Compare the same telemetry, retention targets, users, and enabled products instead of relying on a blanket claim of one-third the cost. Metrics usage

Keep investigations that already work

Grafana Cloud deserves priority when a team has mature Grafana queries and OTel conventions and wants a managed backend while retaining those assets. Its current APM and knowledge graph workflows should be evaluated directly, rather than judged through an older dashboard-only impression.

Keeping Dynatrace can save substantial migration work when OneAgent's application, process, and resource evidence is central to incident response and fits the existing technology estate. A requirement for customer-operated deployment calls for a separate Managed assessment, not an assumption that all SaaS/Grail capabilities are included.

Dividing responsibilities can work, such as retaining application investigations while changing selected log routes. Someone must maintain attributes, time windows, access, and navigation. The ongoing handoff is a cost alongside the two service bills.

Compare one complete request in Guance

Guance trace details provide an investigation path through collected requests, related logs, and resource context. Following the same slow request makes missing correlations more apparent than a feature-name comparison. Trace details

Collection support, service naming, and retention still require decisions. A managed backend can reduce cluster operations; it does not decide how business operations should be represented or which evidence should survive.