B2B SaaS engineering
Best B2B SaaS Infrastructure Monitoring Tools in 2026
Infrastructure monitoring helps teams understand the health, capacity, dependencies, and behavior of the systems that support a SaaS product.
Monitoring should answer an operational question, not merely collect more metrics. Define service-level signals, dependencies, ownership, retention, and response paths before adding another dashboard.
| Tool | Best fit | Observability orientation |
|---|---|---|
| Datadog | Full-stack infrastructure visibility | Datadog combines infrastructure monitoring, logs, traces, security, and application signals in one observability platform. |
| New Relic | Application and infrastructure observability | New Relic provides infrastructure, application performance, logs, traces, and user-monitoring capabilities. |
| Grafana Cloud | Open telemetry ecosystems | Grafana Cloud provides metrics, logs, traces, dashboards, and alerting built around open observability technologies. |
| SolarWinds | Infrastructure and network monitoring | SolarWinds offers monitoring across infrastructure, networks, applications, and systems for organizations with established IT operations. |
| LogicMonitor | Hybrid infrastructure monitoring | LogicMonitor provides monitoring and automation for hybrid infrastructure, cloud services, networks, and applications. |
| Dynatrace | Enterprise observability and automation | Dynatrace combines infrastructure, application, user, and dependency context with automation and analytics. |
| Elastic Observability | Searchable logs and telemetry | Elastic Observability brings logs, metrics, traces, search, and visualization into the Elastic ecosystem. |
| Splunk | Security and operations data at scale | Splunk supports machine-data search, monitoring, security, and operational analysis for organizations with large data and governance requirements. |
| Prometheus | Open-source metrics collection | Prometheus is a widely used open-source metrics and alerting component for teams that want direct control over collection and time-series queries. |
| Sentry | Application errors and release health | Sentry focuses on errors, performance, releases, and developer feedback. |
| PagerDuty | Alert ownership and response routing | PagerDuty is primarily an incident-response and alert-routing platform, but it is central to monitoring operations when signals need an accountable responder. |
| AWS CloudWatch | AWS-native infrastructure signals | CloudWatch provides metrics, logs, alarms, dashboards, and events for AWS resources and services. |
| Azure Monitor | Azure-native monitoring | Azure Monitor connects metrics, logs, alerts, and application insights across Azure services. |
1. Datadog
Best for: Full-stack infrastructure visibility. Datadog combines infrastructure monitoring, logs, traces, security, and application signals in one observability platform. It is useful when teams need correlated context across cloud resources and customer-facing services.
Test one service, dependency, alert, and incident investigation path. Pros: broad telemetry and correlated dashboards. Cons: usage growth and signal governance affect cost. Pricing: verify current product and volume rates.
| Pros | broad telemetry and correlated dashboards |
|---|---|
| Cons | usage growth and signal governance affect cost |
| Pricing context | verify current product and volume rates. |
| Official source | Review vendor information |
2. New Relic
Best for: Application and infrastructure observability. New Relic provides infrastructure, application performance, logs, traces, and user-monitoring capabilities. It fits teams that want broad observability with a strong application-performance center of gravity.
Pilot instrumentation, queryability, alert ownership, and retention. Pros: APM and infrastructure connection. Cons: instrumentation and alert design need ownership. Pricing: usage and plan terms vary.
| Pros | APM and infrastructure connection |
|---|---|
| Cons | instrumentation and alert design need ownership |
| Pricing context | usage and plan terms vary. |
| Official source | Review vendor information |
3. Grafana Cloud
Best for: Open telemetry ecosystems. Grafana Cloud provides metrics, logs, traces, dashboards, and alerting built around open observability technologies. It suits teams that value portability, visualization flexibility, and control over telemetry architecture.
Test ingestion, labels, alert routing, retention, and dashboard ownership. Pros: open ecosystem and flexible dashboards. Cons: teams may own more architecture. Pricing: verify current free and usage limits.
| Pros | open ecosystem and flexible dashboards |
|---|---|
| Cons | teams may own more architecture |
| Pricing context | verify current free and usage limits. |
| Official source | Review vendor information |
4. SolarWinds
Best for: Infrastructure and network monitoring. SolarWinds offers monitoring across infrastructure, networks, applications, and systems for organizations with established IT operations. It is useful when traditional infrastructure visibility remains central to the program.
Evaluate discovery, credentials, topology, cloud coverage, and alert noise. Pros: established infrastructure tooling. Cons: cloud-native depth and deployment model need validation. Pricing: product and deployment pricing varies.
| Pros | established infrastructure tooling |
|---|---|
| Cons | cloud-native depth and deployment model need validation |
| Pricing context | product and deployment pricing varies. |
| Official source | Review vendor information |
5. LogicMonitor
Best for: Hybrid infrastructure monitoring. LogicMonitor provides monitoring and automation for hybrid infrastructure, cloud services, networks, and applications. It fits teams managing a mixed estate that needs centralized dashboards and alerting.
Pilot device coverage, topology, thresholds, maintenance windows, and ownership. Pros: hybrid coverage and automation. Cons: alert tuning requires ongoing work. Pricing: request a current quote.
| Pros | hybrid coverage and automation |
|---|---|
| Cons | alert tuning requires ongoing work |
| Pricing context | request a current quote. |
| Official source | Review vendor information |
6. Dynatrace
Best for: Enterprise observability and automation. Dynatrace combines infrastructure, application, user, and dependency context with automation and analytics. It is relevant when a larger organization wants broad system visibility and a more automated investigation model.
Test a failure across dependencies and inspect evidence quality, access, and cost attribution. Pros: deep enterprise observability. Cons: implementation and usage modeling are substantial. Pricing: request current terms.
| Pros | deep enterprise observability |
|---|---|
| Cons | implementation and usage modeling are substantial |
| Pricing context | request current terms. |
| Official source | Review vendor information |
7. Elastic Observability
Best for: Searchable logs and telemetry. Elastic Observability brings logs, metrics, traces, search, and visualization into the Elastic ecosystem. It fits teams that value query control and want telemetry close to a broader search and data platform.
Pilot ingestion, parsing, retention, access, and alert recovery. Pros: powerful search and flexible data model. Cons: architecture and storage governance require ownership. Pricing: verify cloud, self-managed, and usage costs.
| Pros | powerful search and flexible data model |
|---|---|
| Cons | architecture and storage governance require ownership |
| Pricing context | verify cloud, self-managed, and usage costs. |
| Official source | Review vendor information |
8. Splunk
Best for: Security and operations data at scale. Splunk supports machine-data search, monitoring, security, and operational analysis for organizations with large data and governance requirements. It is a candidate when operations and security need connected evidence.
Define data sources, retention, access, alert ownership, and investigation workflow before rollout. Pros: mature search and enterprise ecosystem. Cons: licensing and data volume can be complex. Pricing: request a current quote.
| Pros | mature search and enterprise ecosystem |
|---|---|
| Cons | licensing and data volume can be complex |
| Pricing context | request a current quote. |
| Official source | Review vendor information |
9. Prometheus
Best for: Open-source metrics collection. Prometheus is a widely used open-source metrics and alerting component for teams that want direct control over collection and time-series queries. It is a building block, not a complete managed operations program.
Test cardinality, retention, federation, alert delivery, and recovery ownership. Pros: portable metrics model and ecosystem. Cons: storage, HA, and operations are yours. Pricing: software is open source; infrastructure is not free.
| Pros | portable metrics model and ecosystem |
|---|---|
| Cons | storage, HA, and operations are yours |
| Pricing context | software is open source; infrastructure is not free. |
| Official source | Review vendor information |
10. Sentry
Best for: Application errors and release health. Sentry focuses on errors, performance, releases, and developer feedback. It complements infrastructure monitoring when the question is which code path or release is harming a customer-facing workflow.
Connect one service to ownership and release tracking, then test grouping, privacy, and regression alerts. Pros: actionable application feedback. Cons: it is not broad infrastructure coverage. Pricing: verify current event and retention limits.
| Pros | actionable application feedback |
|---|---|
| Cons | it is not broad infrastructure coverage |
| Pricing context | verify current event and retention limits. |
| Official source | Review vendor information |
11. PagerDuty
Best for: Alert ownership and response routing. PagerDuty is primarily an incident-response and alert-routing platform, but it is central to monitoring operations when signals need an accountable responder. It can turn infrastructure alerts into a managed escalation path.
Pilot deduplication, schedules, acknowledgments, escalation, and recovery. Pros: response ownership and routing. Cons: it does not generate telemetry itself. Pricing: check current users, responders, and features.
| Pros | response ownership and routing |
|---|---|
| Cons | it does not generate telemetry itself |
| Pricing context | check current users, responders, and features. |
| Official source | Review vendor information |
12. AWS CloudWatch
Best for: AWS-native infrastructure signals. CloudWatch provides metrics, logs, alarms, dashboards, and events for AWS resources and services. It is a natural starting point when the operating estate is primarily AWS and teams want native signals before adding another platform.
Test alarm thresholds, cross-account visibility, log retention, cost allocation, and notification recovery. Pros: deep AWS integration. Cons: multi-cloud correlation may need other tools. Pricing: usage varies by metrics, logs, alarms, and retention.
| Pros | deep AWS integration |
|---|---|
| Cons | multi-cloud correlation may need other tools |
| Pricing context | usage varies by metrics, logs, alarms, and retention. |
| Official source | Review vendor information |
13. Azure Monitor
Best for: Azure-native monitoring. Azure Monitor connects metrics, logs, alerts, and application insights across Azure services. It fits teams already using Microsoft identity and cloud operations who want native coverage and policy integration.
Pilot a service dependency, alert, workbook, and incident handoff. Pros: Azure ecosystem integration. Cons: multi-cloud and non-Microsoft coverage need validation. Pricing: verify current ingestion and retention terms.
| Pros | Azure ecosystem integration |
|---|---|
| Cons | multi-cloud and non-Microsoft coverage need validation |
| Pricing context | verify current ingestion and retention terms. |
| Official source | Review vendor information |
Choose by monitoring need
| Need | Prioritize | Pilot evidence |
|---|---|---|
| Cloud-native services | Discovery, metrics, logs, traces, cost controls, ownership | A new service becomes observable without hidden manual work |
| Hybrid infrastructure | Agents, network visibility, credentials, topology, alert routing | One mixed dependency failure reaches the correct owner |
| Incident investigation | Correlation, queryability, retention, access, runbooks | Responders reach a correct decision faster than baseline |
| Cost governance | Cardinality, retention, ingestion, sampling, budgets | Telemetry growth is visible before it becomes a surprise |
A 30-day monitoring pilot
Choose one customer-facing service and one dependency. Instrument the useful signals, induce a safe failure, route an alert, investigate it, record ownership, and verify recovery. Measure whether the signal improves a decision or response—not whether the dashboard merely contains more charts.
Review weekly for noisy alerts, missing ownership, cardinality growth, stale dashboards, retention surprises, and incidents where responders cannot reconstruct what happened. Confirm current pricing, ingestion, retention, users, agents, and support terms before expanding.
Related reading: observability tools , incident management tools , and release automation tools .