
AI-powered observability enhancements
Cisco also announced it has updated Splunk Observability to use Cisco AgenticOps, which deploys AI agents to automate telemetry collection, detect issues, identify root causes, and apply fixes. The agentic AI updates help enterprise customers automate incident detection, root-cause analysis, and routine fixes.
“We are making sure that all of our tooling, across AppDynamics, across Observability Cloud is really leveraging each other’s strengths, and that means dialing in data and insights from both traditional observability telemetry and also from the business,” Hathi says. “It provides a whole new aspect of observability that understands not just performance on a machine, on an application, on a network, on an infrastructure, but also the actual business impact. And the last piece is the notion of observing and understanding what AI is doing itself.”
Splunk integrates business and machine data to enable organizations to correlate technical issues with business impact and provide observability into the behavior and performance of AI systems and agents. Among the features are:
- AI-Directed Troubleshooting: Analyze incidents and surface root causes.
- Event IQ: Helps teams to set up automation alert correlation.
- ITSI (IT Service Intelligence) Episode Summarization: Provides overviews of grouped alerts.
- AI Agent Monitoring: Monitors the quality and cost of LLMs.
- AI Infrastructure Monitoring: Monitors the health and consumption of AI infrastructure.
Cisco is also bringing together Splunk AppDynamics and Splunk Observability Cloud and deepening integration with Cisco ThousandEyes so enterprise teams can better pinpoint the network’s impact on application performance and end-user experience.
“We’ve had embedded AI helping you for years and are excited to announce agentic AI-powered capabilities across the Splunk Observability portfolio to help teams investigate and resolve issues faster,” according to a Splunk blog written by Dayna Lord and Patrick Lin. “With AI-driven alert correlation, episode summarization, and AI agents for detection, troubleshooting, and remediation, agentic AI means teams can understand, troubleshoot, and resolve business-impacting incidents faster.”