Best Observability Tools for Splunk User Behavior Analytics
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Compare the Top Observability Tools that integrate with Splunk User Behavior Analytics as of August 2025
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This a list of Observability tools that integrate with Splunk User Behavior Analytics. Use the filters on the left to add additional filters for products that have integrations with Splunk User Behavior Analytics. View the products that work with Splunk User Behavior Analytics in the table below.
What are Observability Tools for Splunk User Behavior Analytics?
Observability tools are software platforms that help monitor, measure, and gain insights into the performance and health of systems, applications, and infrastructure. These tools provide a comprehensive view of the system by collecting and analyzing data from various sources, including logs, metrics, traces, and events. Observability tools are essential for identifying and diagnosing issues, improving system reliability, and optimizing performance. They enable real-time monitoring, anomaly detection, root cause analysis, and alerting, which allows teams to respond proactively to potential problems. By offering detailed insights into system behavior, observability tools are critical for DevOps, cloud-native environments, and microservices architectures. Compare and read user reviews of the best Observability tools for Splunk User Behavior Analytics currently available using the table below. This list is updated regularly.
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Splunk APM
Splunk
Innovate faster in the cloud, elevate user experience and future-proof your applications. Built for the cloud-native enterprise, Splunk helps you solve modern issues. Detect any issue before it turns into a customer problem. Reduce MTTR with our real-time, AI-driven Directed Troubleshooting. Flexible, open-source instrumentation eliminates lock-in. Maximize performance by seeing everything in your application, and act on AI-driven analytics. To deliver a flawless end-user experience, you need to observe everything. With NoSample™ full-fidelity trace ingestion, leverage all your trace data to identify any anomaly. Reduce MTTR with Directed Troubleshooting to quickly understand service dependencies, correlation with underlying infrastructure and root-cause error mapping. Breakdown and explore any transaction by any metric or dimension. Quickly and easily understand how your application behaves for different regions, hosts, versions or users.Starting Price: $660 per Host per year -
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The only real-time, analytics-driven multicloud monitoring solution for all environments (formerly SignalFx). Monitor any environment on a massively scalable streaming architecture. Open, flexible data collection and rapid visualizations of services in seconds. Purpose built for ephemeral and dynamic cloud-native environments at any scale (e.g., Kubernetes, container, serverless). Detect, visualize and resolve issues as soon as they arise. Monitor infrastructure performance in real-time at cloud scale through predictive streaming analytics. Over 200 pre-built integrations for cloud services and out-of-the-box dashboards for rapid visualization of your entire stack. Autodiscover, breakdown, group, and explore clouds, services and systems. Quickly and easily understand how your infrastructure behaves across different services, availability zones, Kubernetes clusters and more.
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Splunk Observability Cloud
Splunk
Splunk Observability Cloud is a comprehensive, real-time monitoring and observability platform designed to help organizations gain full visibility into their cloud-native environments, infrastructure, applications, and services. It combines metrics, logs, and traces into a unified solution, providing seamless end-to-end visibility across complex architectures. With its powerful analytics, AI-driven insights, and customizable dashboards, Splunk Observability Cloud helps teams quickly identify and resolve performance issues, reduce downtime, and improve system reliability. It supports a wide range of integrations and provides real-time, high-resolution data for proactive monitoring. This enables IT and DevOps teams to detect anomalies, optimize performance, and ensure the health and efficiency of their cloud and hybrid environments.
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