Free Edition

Splunk Observability Cloud Free Edition

Get Observability Cloud free. No credit card required.

Splunk Observability Cloud Free Edition makes enterprise-grade observability a foundational element of your architecture. Now IT and dev teams can build, scale, and secure their applications from day one for up to 15 hosts.

Observability Cloud Free Edition provides full feature parity with Observability Cloud, so you can build resilient, secure, and performant applications. Start today by integrating the same tools that power the world’s most digitally resilient enterprises into your own development lifecycle. Sign up now to benefit from:

Free Edition for up to 15 hosts: You have access to the entire Observability Cloud platform. No upcharges or feature gates.
On-going access: This is not a time-limited trial. You get industry-leading observability for as long as you need it for up to 15 hosts.
Zero procurement friction to get started: Start instrumenting your stack immediately. No credit card required.

Get started with Observability Cloud Free Edition

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Use Cases

Key Observability use cases that drive business value

Track the performance, quality, security, and cost of your AI stack to build trust and reliability

Evaluate the root cause of agent performance, quality, and behavior issues alongside quality and security metrics like hallucinations, bias, prompt injection, and PII leakage. Visualize the impact of AI components like GPU/memory usage and time-to-first token to manage costs, bottlenecks, and spikes causing degradation and inefficiency.

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 AI infrastructure and agent performance 
 Model quality, evaluation, and behavior
 Privacy and security metrics and guardrails 
 Cost and resource attribution and optimization

"If we can show that monitoring was able to pick up prior to a service disruption, we're able to show that the investments we make in the monitoring tool are giving the business value."

Jon Moore, Domain Architect at Progressive

Embedded AI and agentic support across the entire incident lifecycle

Leverage agentic AI to find and fix issues before customers ever notice. Drastically reduce mean time to resolution (MTTR) and reduce manual toil so teams can focus on what matters most and build what’s next.

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Expert guidance to find and fix issues faster with the AI Assistant in Observability Cloud
Agentic AI-driven troubleshooting
Prescriptive remediation
Code-level insights for faster debugging

"With so many different systems with various endpoints, knowing it all is impossible. So it’s not just about efficiency but also identifying the unknown anomalies and getting insights from the data like a subject matter expert."

Van Wolfe, VP of Platform Engineering at Repay

A scalable solution with AI-driven insights to troubleshoot complex Kubernetes environments

Get complete visibility into your Kubernetes infrastructure with real-time monitoring, intelligent alerting, and automated root-cause analysis. Quickly identify performance bottlenecks, resource constraints, and configuration issues across your entire cluster. 

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Real-time cluster health monitoring with auto-discovery 
Node, container, pod-level metrics, logs, events and YAML for deep troubleshooting
Kubernetes events correlation with application performance 
Resource optimization recommendations with cost analysis

"The biggest win in my book is when stores say they haven't had any IT issues for a while. I peel back the curtains and say, 'well, you did. You just didn't realize it because we fixed them faster than you could notice them.'"

Andy Slater, Observability and Automation Lead at Specsavers

Monitor health and performance of containerized applications and automatically identify root cause

Discover, map, and monitor microservices using full-fidelity distributed tracing, correlating APM and infrastructure metrics with AI SRE troubleshooting agents to identify root cause across environments.

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 Automatic service discovery and dependency mapping 
 Distributed tracing across all microservices
 Real-time service performance metrics and SLA tracking
Full-stack AI-based troubleshooting

"Our decision to deploy Splunk Observability came down to two factors. The first was the OpenTelemetry support. We are a huge OpenTelemetry supporter within Irdeto, and we wanted to make sure all our traces were following that standard. The second reason was the feedback from developers and engineers on the user interface, and how easy it was to get around from logs to traces."

Andy Shaffer, Director of Operations at Irdeto

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