Splunk Infrastructure Monitoring
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- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$15 per host per month
Free Trial
Free version unavailable
Small
Medium
Large
- Healthcare and life sciences
- Banking and insurance
- Accommodation and food services
What is Splunk Infrastructure Monitoring
Splunk Infrastructure Monitoring is a SaaS-based infrastructure monitoring product (formerly SignalFx Infrastructure Monitoring) used to collect and analyze metrics from cloud, on-prem, and containerized environments. It targets SRE, DevOps, and operations teams that need real-time visibility into hosts, services, and Kubernetes workloads. The product emphasizes high-cardinality metrics, streaming analytics, and alerting to support troubleshooting and capacity/performance monitoring. It is commonly deployed alongside other Splunk observability components for correlated investigation across metrics, traces, and logs.
Real-time metrics at scale
The platform is designed for near real-time ingestion and analysis of infrastructure metrics, including high-cardinality dimensions common in modern cloud and Kubernetes environments. This supports rapid detection of performance regressions and transient issues that can be missed with slower polling approaches. Teams can build detectors and alerts on streaming data to reduce time-to-detect. It fits environments with frequent deployments and dynamic infrastructure.
Strong Kubernetes visibility
Splunk Infrastructure Monitoring provides Kubernetes-focused dashboards and entity modeling for nodes, pods, containers, and cluster services. It supports common Kubernetes monitoring workflows such as resource saturation analysis, noisy-neighbor detection, and workload-level alerting. This helps operations teams connect infrastructure symptoms to specific workloads and namespaces. It is suitable for organizations standardizing on container orchestration.
Integrations and extensibility
The product supports a broad set of integrations for cloud providers, operating systems, and common infrastructure components via agents and collectors. It also exposes APIs and supports OpenTelemetry-based approaches in the broader Splunk Observability ecosystem, enabling standardized instrumentation patterns. This reduces custom engineering for data collection across heterogeneous environments. It can be integrated into incident response and on-call workflows through common notification channels.
Costs can rise with scale
Infrastructure monitoring spend can increase as metric volume, cardinality, and retention requirements grow, especially in large Kubernetes and microservices environments. Organizations often need governance around metric naming, tag cardinality, and retention to control usage. Budget predictability may require ongoing tuning and monitoring of ingestion patterns. This is a common consideration for SaaS observability platforms at enterprise scale.
Learning curve for configuration
Effective use typically requires familiarity with the product’s data model, detector configuration, and dashboarding conventions. Teams migrating from legacy infrastructure monitoring may need time to adapt to streaming alert logic and dimension-heavy metrics. Initial setup for consistent tagging and entity naming across environments can be non-trivial. Operational maturity improves results but increases onboarding effort.
Logs are a separate workflow
Infrastructure Monitoring focuses primarily on metrics; log analytics and long-term log retention are handled through other Splunk products and licensing models. Users may need additional configuration to correlate metrics with logs and traces across tools and data stores. This can add complexity for teams expecting a single, unified configuration surface for all telemetry types. Procurement and administration may involve multiple Splunk components depending on the desired observability scope.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Infrastructure (Splunk Observability Cloud - Infrastructure) | $15 per host/month (billed annually) | Real-time hybrid-cloud infrastructure monitoring, Network Explorer, AI-driven real-time alerts, 200+ integrations, OpenTelemetry ingestion, billed using the average number of unique hosts (counted hourly) across the billing month; 14-day free trial available. |
| App & Infrastructure (Observability Cloud bundle) | $60 per host/month (billed annually) | Includes Infrastructure Monitoring + APM and Synthetic API Monitoring (listed for context on the Observability Cloud pricing page). |
| End-to-End (Observability Cloud bundle) | $75 per host/month (billed annually) | Includes Infrastructure, APM, RUM, and Synthetic Browser Monitoring (listed for context on the Observability Cloud pricing page). |
Seller details
Cisco Systems, Inc.
San Jose, California, USA
1984
Public
https://www.cisco.com/
https://x.com/Cisco
https://www.linkedin.com/company/cisco/
