Best Root Cause Analysis Software for Splunk AppDynamics

Compare the Top Root Cause Analysis Software that integrates with Splunk AppDynamics as of December 2025

This a list of Root Cause Analysis software that integrates with Splunk AppDynamics. Use the filters on the left to add additional filters for products that have integrations with Splunk AppDynamics. View the products that work with Splunk AppDynamics in the table below.

What is Root Cause Analysis Software for Splunk AppDynamics?

Root cause analysis software is software designed to help identify and analyze the reasons underlying an event or problem. It can be used in many different contexts, including quality control, business process improvement, safety evaluations, and IT system management. Root cause analysis software typically uses structured techniques to identify potential causes of a problem, such as interviewing stakeholders and examining existing data and processes. It then helps users to systematically analyze each potential cause in order to determine which one is most likely the root cause. Finally, the software provides actionable recommendations for resolving the issue. Generally speaking, root cause analysis software is a valuable tool for identifying systematic issues that are causing operational difficulties and formulating plans for addressing them. Compare and read user reviews of the best Root Cause Analysis software for Splunk AppDynamics currently available using the table below. This list is updated regularly.

  • 1
    Cisco ACI
    Achieve resource elasticity with automation through common policies for data center operations. Extend consistent policy management across multiple on-premises and cloud instances for security, governance, and compliance. Get business continuity, disaster recovery, and highly secure networking with a zero-trust security model. Transform Day 2 operations to a more proactive model and automate troubleshooting, root-cause analysis, and remediation. Optimizes performance, and single-click access facilitates automation and centralized management. Extend on-premises ACI networks into remote locations, bare-metal clouds, and colocation providers without hardware. Cisco's Multi-Site Orchestrator offers provisioning and health monitoring, and manages Cisco ACI networking policies, and more. This solution provides automated network connectivity, consistent policy management, and simplified operations for multicloud environments.
  • 2
    InsightFinder

    InsightFinder

    InsightFinder

    InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.
    Starting Price: $2.5 per core per month
  • 3
    NeoLoad

    NeoLoad

    Tricentis

    Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance.
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