Splunk AppDynamics Features

Log Observer Connect for AppDynamics

View logs in Splunk while maintaining troubleshooting context from AppDynamics. Log Observer Connect for AppDynamics combines world-class APM from AppDynamics with world-class log analytics from Splunk to give you a complete picture of your applications.

Eliminate log replication and enable teams to analyze logs in place. There is no duplication of data as AppDynamics stores metrics, events, and snapshots while Splunk stores the logs. AppDynamics agents enhance Splunk logs with crucial metadata for faster, more targeted searches. Splunk Universal Forwarder imports the enhanced application logs into Splunk.

Root-cause analysis (RCA)

Monitor the health of all the entities in your application and shows you the suspected causes for any anomalies. You can confirm or negate the suspected causes, then drill down into metrics and snapshots.

Automatic anomaly detection uses machine learning to immediately detect anomalies — without preconfiguration. It gives you powerful insights that would be difficult or impossible to obtain using pre-configured health rules.

AI-driven anomaly detection

Detect when business transactions in your application are not performing normally. It uses machine learning to discover the normal ranges of key business transaction metrics, then alerts when metrics deviate significantly from expected values

Anomaly detection employs multiple techniques to ensure that the metric data it collects is accurate, and it uses heuristics that reduce alert noise. It can identify a wider range of problems than a person could capture in preconfigured health rules. And no configuration is required.

Self-hosted Virtual Appliance

AppDynamics virtual appliance is a pre-packaged, self-contained application monitoring solution based on the modern Kubernetes architecture (MicroK8s). The virtual appliance is optimized for easy setup on virtualization platforms and provides the same extensive monitoring capabilities as the AppDynamics on-premises solution such as AI-powered anomaly detection, root cause analysis, and application security.

The virtual appliance form factor improves time-to-value in deployment, and it reduces operational costs while supporting self-hosted modern distributed services. You can deploy and manage self-hosted observability across on-premises and cloud platforms to meet regulatory, security, and business needs.

Smart Agent and Data Collection

Centralizes AppDynamics agent lifecycle management with Smart Agent and dramatically simplify agent installation, configuration, and upgrade. Use Smart Agent to remotely manage all deployed agents in one centralized place. Intelligent UI-driven automation eliminates time-consuming manual intervention. For example, you can automate upgrading of agents in bulk.

Cisco Unified Contact Center Enterprise Monitoring

Set your call center up to drive optimal business results by integrating AppDynamics into Cisco Unified Contact Center Enterprise (UCCE). Monitor performance across all dependencies and integrations to pinpoint bottlenecks. Quickly diagnose and resolve call-center-specific issues, like dropped calls and media fetch errors. With network performance monitoring, you can ensure remote call center workers are continuously connected.

Cloud Migration

Monitor real time performance issues to streamline cloud migration while mitigating risk. Baseline every application, end user experience, and key infrastructure metric. Use performance insights to guide planning, prioritization, and cloud infrastructure sizing. Fix issues fast with AppDynamics AI-driven anomaly detection and root-cause analysis (RCA), and see service-level agreement compliance in real time.

Validate post migration success with AppDynamics pre- and post-migration business performance metrics to show the technical and business success of migrating to the cloud.

Continuous delivery

Identify and resolve issues prior to release so you can be confident that new software releases will perform smoothly and deliver successful business outcomes.

AppDynamics automatically generates application flow maps that dynamically update with every release. You can see in real-time how new releases are performing against older versions.

Machine-learning-based anomaly detection detects when application performance deviates from normal, and automated root cause analysis speeds MTTR. You can identify application crashes immediately and understand the user journey to help with new release planning and design activity.