Simplified Monitoring for Complex GCP Environments
Splunk Industrial IoT offers a comprehensive solution that simplifies monitoring for complex Google Cloud Platform (GCP) environments. By providing a real-time, analytics-driven approach to monitoring, Splunk Observability enables users to gain complete visibility into their infrastructure, applications, and customer experience. With contextual insights, users can anticipate potential issues before they impact customers and quickly identify the root cause when problems do arise.
Improving Uptime, Reliability, and Performance
Splunk Observability helps organizations improve uptime, reliability, and performance across their GCP hybrid cloud infrastructure. By proactively identifying and resolving complex issues in seconds, businesses can ensure that their operations run smoothly without disruptions. Integrated workflows, accurate outlier detection, and dynamic alert conditions reduce noise and streamline the troubleshooting process, enhancing overall system performance.
Powering Ad Hoc Investigations for Real-Time Answers
With Splunk Industrial IoT, users can conduct ad hoc investigations to obtain real-time answers and insights. By surfacing custom metrics for deep root cause analysis, organizations can analyze performance across hundreds of thousands of GCP components, multiple deployment environments, various application versions, and billions of events. This enables businesses to make data-driven decisions and optimize their operations efficiently.
Retaining Control with No Vendor Lock-In
Splunk Industrial IoT offers the advantage of retaining control of your data without any vendor lock-in. By leveraging open-based standards like OpenTelemetry for auto-instrumentation, organizations can monitor their hybrid environment alongside existing GCP metrics with full-fidelity visibility. This eliminates the need for rework and ensures seamless integration with existing systems.
Predictive Problem Detection and Directed Troubleshooting
Splunk Observability goes beyond traditional monitoring by offering predictive problem detection and directed troubleshooting capabilities. By leveraging data science and AI-powered insights, users can detect unusual changes swiftly and troubleshoot issues efficiently. The solution provides contextual insights for modern, serverless deployments, enabling organizations to scale their operations effectively while ensuring optimal performance.