eG Innovations’ AIOps-Powered APM

I recently wrote about how eG Innovations AIOps-powered monitoring benefits those working with Digital Workspaces – today I’ll cover how those same AIOps (Artificial Intelligence for IT Operations) capabilities also make the eG Enterprise platform a leader in the APM (Application Performance Monitoring) space. The eG Enterprise platform is equipped with capabilities for automated corrective actions, event-based triggers, and remote-control functionalities. As infrastructures and application stacks become increasingly complex, eG Enterprise streamlines operations and enhances efficiency by removing human error and manual tasks.

By leveraging eG Enterprise AIOps-powered APM capabilities for correlating events and automating root cause diagnostics and even resolution, IT teams can focus on proactive management rather than reactive firefighting. This accelerates the resolution process and reduces MTTR (Mean Time to Resolution) but can also support a culture of collaboration, allowing teams to work together productively to overcome challenges without getting into the “blame game”.

Having AIOps capabilities is essential for an Application Performance Monitoring (APM) tool. In the next section I will call out some specific benefits and link them to example use cases.

AIOps-Powered Application Performance Monitoring (APM) – Java, .NET, PHP, Docker/Containers, SOA

Many modern environments include applications leveraging technologies such as Node.js, Java, .NET, PHP, and containerized environments using technologies such as Docker, Podman, Kubernetes (K8s) and OpenShift. Moreover, these environments are usually designed to be dynamic and to auto-scale up and down on-demand.

Pinpointing performance bottlenecks is vital for ensuring an optimal user experience. eG Enterprise provides comprehensive full-stack observability, AIOps is an essential component of how we do this. Here’s why!

Auto-deploy and auto-detect: Any monitoring tool is only as good as the breadth and depth of the data it collects. If you aren’t monitoring key dependencies or components that application performance and user experience depend on – you simply can’t do accurate alerting or automated root-cause diagnostics. Within eG Enterprise, built-in domain-aware intelligence understands the relationships between components of the technologies. For example, for Java apps dependencies such as hypervisor/cloud/Kubernetes/OpenShift platform, networking, JVMs, Web and App Servers (WebLogic, Jetty etc.), storage, databases, message queues and so on are understood. Combined with universal agent technologies this allows the AIOps engine to discover the deployment and provide day-0 monitoring even as environments auto-scale up or down.

We support over 500 different technology stacks to avoid visibility gaps, see: End-to-End Monitoring: Applications, Cloud, Containers for a support matrix.

Anomaly Detection for Application Performance: The eG Enterprise platform monitors application metrics such as response time, memory leaks, and transaction processing. The AIOps engine uses advanced machine learning (ML) algorithms and statistical methods to detect anomalies in application performance that traditional thresholds might miss.

By analyzing historical baselines and real-time data, AIOps identifies subtle deviations in metrics like response times, error rates, open handles, and resource utilization, enabling proactive problem detection before they impact users. If a Java-based service experiences a slowdown in response times or a Docker container running a microservice shows memory exhaustion, the system detects and highlights these anomalies immediately. The AIOps engine can process, analyze and understand millions of pieces of information in real-time at the scales required within modern application environments.

eG Enterprise also applies intelligent noise reduction techniques to filter out irrelevant alerts and group related events into actionable insights. This helps prevent alert fatigue, enabling IT teams to focus on and prioritize critical issues that require immediate attention instead of being overwhelmed by false positives or redundant notifications.

For a comprehensive understanding of dynamic, static and auto-baselined thresholds and alerting, please see: White Paper | Make IT Service Monitoring Simple & Proactive with AIOps Powered Intelligent Thresholding & Alerting.

End-to-End Event Correlation and Automated Root Cause Detection: Application delivery environments are typically multi-tiered, comprising front-end applications, middleware, and backend databases. eG Enterprise correlates performance events across these tiers. Beyond simple correlation there is embedded layer model domain-aware intelligence to make sense of correlations and differentiate causation.

For example, if a .NET application is slowing down due to a backend SQL database issue, eG Enterprise intelligently correlates events and alerts across the application stack, providing clarity on the exact layer where the issue originates. Moreover, the database issue will be highlighted to teams beyond the database team e.g., helpdesk without requiring the use of specialist database tools and without the need to use other consoles or provide helpdesk with access to the databases themselves.

In a containerized environment, microservices often interact across different nodes. If there’s an issue with PHP scripts affecting overall application throughput, eG Enterprise pinpoints the root cause across containers, application code, and supporting infrastructure layers.

We’ve done a deep dive into full-stack visibility for Java apps in a recent free whitepaper, see: How to Get Full-Stack Visibility for Your Java Applications | White Paper. Whilst specific to Java, eG Enterprise handles other language stacks (such as .PHP, Node.js and .NET) in a comparable manner.

AIOps-Powered User Experience/ Journey Tracking

eG Enterprise’s AIOps capabilities enhance user experience and journey tracking by leveraging AI and machine learning to analyze vast volumes of application performance data in real-time. EG Enterprise identifies patterns, detects anomalies, and correlates events across systems (including between applications and infrastructure) to pinpoint issues affecting users. Moreover, simple dashboards including Apdex scores give you the information you need to prioritize issues and services requiring optimizations.

The platform also enables deep visibility into user journeys, mapping interactions across services to uncover bottlenecks or failures via distributed transaction tracing.

eG Enterprise correlates web performance with Business KPIs. A RUM tool can add meaning and context to user sessions with business attributes such as User ID, email, or name to the extent your privacy rules allow you to collect data. In addition, you can capture business context information such as shipping ID or an item description. Learn more: What is Real User Monitoring (RUM)? | eG Innovations.

Predictive Analytics for Proactive Optimization

By leveraging AIOps-powered predictive capabilities, eG Enterprise can forecast potential bottlenecks, capacity issues, or failures before they occur. This empowers organizations to take preventive measures, optimize resource allocation, and avoid downtime or performance degradation. Capacity planning reports allow organizations to right-size and avoid unnecessary platform costs (especially important in cloud).

Unlike static rules, AIOps-powered APM tools such as eG Enterprise continuously learn from data patterns and evolving application environments. This dynamic adaptation ensures monitoring remains effective in rapidly changing conditions, such as cloud migrations, autoscaling events, microservices deployments, or CI/CD pipelines.

Conclusions – Collaboration Matters!

But it’s not just about siloed monitoring for Java or .NET applications and APM. What about the cloud, networking, storage, on-prem infrastructure, the databases and so on? AIOps-powered eG Enterprise will cover those too.

By providing single platform that can provide a universal view to all teams and as shown across many different types of IT deployment, eG Innovations is helping our partners and customers evolve their IT Service Management (ITSM) and IT Operations Management (ITOM) workflows into highly efficient processes.

Importantly – eG Enterprise has dashboards, views and a built-in knowledge base designed for Help Desk operators. This means the IT teams supporting applications don’t receive escalated support tickets associated with databases, networking, cloud services etc. beyond their remit.

eG Enterprise helps teams cooperate rather than assigning blame. Through its AIOps-driven insights and comprehensive monitoring, the platform enhances visibility across all layers of the IT environment. This holistic approach enables IT teams to quickly identify and resolve issues without the typical finger-pointing that can occur when problems arise.

In my previous blog, I covered how AIOps benefits Digital Workspace monitoring. Having covered how it benefits Application Performance Monitoring today – we start to see the bigger picture. The single integrated console of eG Enterprise can correlate and make sense of problems with Java applications delivered via workspace technologies such as Citrix CVAD, Microsoft AVD, Omnissa Horizon, or Amazon AppStream 2.0. In my next blog on the benefits of AIOps, I’ll add another piece of the jigsaw and cover how AIOps benefits our Cloud monitoring capabilities.

Learn more

• eG Enterprise’s AIOps-powered APM Solution Pages: Application Performance Monitoring (APM) | eG Innovations
• A real customer case study: APM Monitoring Solution at Kedron UK | eG Innovations