Creating end-to-end visibility for troubleshooting across applications, infrastructure, and networks
In many organizations, applications are built in a complex environment with different deployment types, varied infrastructure needs, and disconnected toolchains. This scattered visibility leads to blind spots as different teams have separate responsibilities in these organizations. The fragmentation slows growth, leads to operational inefficiencies, causes loss of business context, and leads to poor customer experiences.
Splunk Observability Cloud aims to address these problems by:
- allowing you to bring any data (metrics, events, logs, traces) from any data source into a unified platform
- encompassing all applications, whether traditional, hybrid, or cloud-native
- helping you understand the health of your entire estate, including your Cisco portfolio
- providing purpose-built visualizations and workflows catered to multiple personas, including IT operations, network operations, developers, application engineers, SREs, and network analysts
This article demonstrates three key use cases for Splunk observability products that help you identify where problems are, analyze the impact of the problems, and figure out what to do next.
How to use Splunk software for this use cases
Use Case: Signals from noise
Who are you? You are an IT or a NOC operator that owns the centralized event management operations for alerts coming from across the entire IT estate and disparate tools. You look at the system of record for all the incidents and need to make sure they are routed to the right teams.
What is your challenge? In North America, the average cost per incident to triage is $13 and to resolve is $47. You have a strong incentive to reduce the number of actionable incidents and time it takes to triage those.
How do you solve this? Using Splunk IT Service Intelligence (ITSI) and its AIOps capabilities, you can correlate alerts quickly for reduced actionable incidents and closed loop incident management.
Use Case: Eliminating siloed visibility
Who are you? You are an IT analyst who owns the monitoring and operations of tier 1 business critical services and the underlying apps and infrastructure that impact these services.
What is your challenge? When payments fail, customers are dissatisfied and the average impact to your business is $100k per minute. You have a strong incentive to reduce the time it takes to find a problem, isolate the domain, and identify the root cause.
How do you solve this? Using Splunk IT Service Intelligence (ITSI) powered by AI and its integrations with ThousandEyes, AppDynamics, and Splunk Observability Cloud, you can detect and isolate problems faster, and accelerate root cause analysis.
Splunk observability solutions have many embedded AI and machine learning capabilities to help with these use cases. These include ML-assisted thresholds, drift detection, the configuration assistant, Event iQ, and Cause iQ. Want to learn more about these features? Watch the full talk from Cisco Live EMEA 2026, Splunk Observability: A unified solution for end-to-end visibility and troubleshooting across applications, infrastructure and networks.
Let's watch a demo of these two use cases in action.
Use Case: Finding root cause
Who are you? You are an application product owner that owns the development and operation of services supporting your retail web store.
What is your challenge? When customers can't search and purchase products, your organization loses $1 million per hour. You have a strong incentive to decrease the time it takes to find and solve issues.
How do you solve this? Using Splunk Observability Cloud with AI Assistant, you can detect and identify root causes faster.
Splunk observability solutions have many embedded AI and machine learning capabilities to help with this use case. This includes AI Assistant and the AI Troubleshooting Agent. Want to learn more about these features? Watch the full talk from Cisco Live EMEA 2026, Splunk Observability: A Unified Solution for End-to-End Visibility and Troubleshooting Across Applications, Infrastructure and Networks
Let's watch a demo of this use case in action.
Next steps
Now that you have an idea of how Splunk observability software breaks down fragmented visibility, tool silos, and alert fatigue, watch the full talk from Cisco Live EMEA 2026, Splunk Observability: A Unified Solution for End-to-End Visibility and Troubleshooting Across Applications, Infrastructure and Networks. In the talk, you'll learn more about the components of Splunk observability, the AI features, and how to observe your own AI infrastructure.
You might also be interested in the following Splunk resources:
- Splunk Tech Talk: Simplify ticket remediation with machine learning
- Splunk Resource: An introductory use case guide: Splunk artificial intelligence for observability
- Splunk Lantern Article: Using AI for observability troubleshooting