AIOps Automates Cloud Monitoring

I’ve previously covered how eG Innovations AIOps-powered monitoring benefits those working with Digital Workspaces or leveraging APM; today, I’ll cover how those same AI-powered capabilities benefit those supporting cloud hosted architectures and workloads.

  • Digital Workspace
    Monitoring (DWP)

    Monitor, diagnose and report on any digital workspace to ensure your employees can remain productive.

  • Cloud & Hybrid Cloud Monitoring

    Accelerate cloud migration and optimize performance across hybrid and multi-cloud architectures with confidence.

  • Digital Experience
    Monitoring

    Monitor the end-user experience of customers and employees with real user monitoring and synthetic simulation.

  • Application Performance Monitoring (APM)

    Monitoring that detects, diagnoses, and resolves application performance issues before end-users are affected.

  • Infrastructure
    Monitoring

    See everything that’s happening in your IT deployment and quickly troubleshoot server, database and network issues.

  • Enterprise Applications Monitoring

    Boost business productivity on SAP, SharePoint, Office 365, and other enterprise applications.

Auto-deploy and Auto-detect: For cloud technologies and services built-in domain-aware intelligence understands the relationships between components and services. The AIOps engine includes cloud-specific intelligence that makes sense of:

  • Application-to-application dependencies.
  • Application-to-infrastructure mappings (e.g., virtual machines, cloud services, storage systems).
  • Service dependencies across microservices, containers, and databases.
  • On-prem dependencies used for hybrid cloud scenarios such as Active Directory or on-prem storage and infrastructure.

These topologies are continuously updated to reflect dynamic changes in the IT environment, ensuring accurate insights even during auto-scale events. Combined with universal agent technologies this allows the AIOps engine to discover the deployment and provide day-0 monitoring even as cloud environments auto-scale up or down.

eG Enterprise builds rich topology visualizations for cloud environments encompassing any on-prem and hybrid cloud components and spanning multiple clouds if required.

Diagram showing a multi-cloud eCommerce system where components are hosted on both Azure and AWS and 3rd party payment gateways are called to illustrate the complexity of many application delivery chains

Figure 1: IT teams and helpdesk need the ability to quickly pinpoint the root cause of problems in a multi-cloud application that spans multiple cloud providers. The monitoring platform must detect and understand the dependencies and relationships between cloud services even across multiple clouds.

Learn more about monitoring multi-cloud applications, see: Monitoring and Troubleshooting Multi-cloud Infrastructures.

Anomaly Detection with Dynamic Baselines: Instead of relying on static thresholds (which often cause false alarms), AIOps platforms use machine learning and statistical methods to create dynamic performance baselines based on historical trends. This enables:

  • Detection of unusual spikes or dips in resource utilization, latency, or transaction rates
  • Environment-aware alerts that adjust for time of day, day of week, or workload patterns
  • Early warning before performance degradation impacts users

Cloud usage varies greatly depending on workload and organization. The powerful AIOps engine within eG Enterprise learns the behavior of each environment ensuring alert thresholds are set up and tuned out-of-the-box. The scales of cloud mean that manual configuration is impractical and costly.

Cloud workloads are elastic and often bursty—static rules just don’t work in dynamic environments. Learn more: White Paper | Make IT Service Monitoring Simple & Proactive with AIOps Powered Intelligent Thresholding & Alerting.

The importance of anomaly detection for critical cloud infrastructure is increasingly being recognized in compliance regulation such as the DORA in the EU (see: What is the Digital Operational Resilience Act (DORA)? DORA – Anomaly Detection and Risk Management).

Diagram showing auto-baselined metrics exhibiting a daily cyclical pattern as well as other load fluctuations - the baseline evolves over time as the AIOps engine learns to predict expected hour-by-hour behavior

Figure 2: AI capabilities provide an intelligent baseline against which anomalies can be detected even on a seasonal, time of week, day or month basis. What is normal at 3am on Sunday is usually very different to 9am usage on a working day.

clickable banner to a free whitepaper explaining how AIOps powered monitoring tools baseline, learn and set thresholds to automate alerting in cloud and other environments

Automated Root Cause Analysis (RCA): AIOps systems automatically correlate telemetry data across cloud services (compute, storage, DB, network), containers, and applications to:

  • Identify the source of issues (e.g., memory leak in a container affecting a web app)
  • Cut through alert noise and pinpoint what matters
  • Reduce Mean Time to Repair (MTTR) by highlighting cause-effect relationships

Especially in multi-cloud or hybrid environments, root cause analysis across layers is nearly impossible manually. AIOps reduces troubleshooting from hours to minutes or seconds.

clickable banner to download a free whitepaper covering requirements for cloud monitoring tools

Intelligent Alert Suppression and Event Correlation for Cloud Service Issues: AIOps platforms intelligently group related alerts and suppress redundant notifications.

A problem with cloud storage might trigger cascading issues across applications, databases, and end-user services. eG Enterprise’s deterministic event correlation links these events, so IT teams don’t have to sift through multiple unrelated alerts. For example, if a storage service is slow, eG Enterprise identifies this as the root cause of degraded application performance or failed database calls.

Learn more about event correlation, see: What is Event Correlation? And Why Does Event Correlation Matter when Monitoring? | eG Innovations

Proactive Resource Management and Capacity Planning: Leveraging AIOps for cloud monitoring, eG Innovations provides predictive analytics for resource allocation. For instance, if virtual hosts are nearing capacity, AIOps-enabled eG Reporter predicts future resource demand, enabling proactive scaling. This proactive approach empowers IT teams to address potential capacity bottlenecks before they lead to application slowdowns or failures on VMs or containers, ensuring uninterrupted service and optimal performance.

Over-provisioned resources become expensive in cloud, whilst under-utilized ones lead to bottlenecks and performance issues. AI-driven analytics allow eG Enterprise to make right-sizing recommendations for cloud instances.

AIOps cloud monitoring tools such as eG Enterprise include features such as VM-right sizing reports that recommend how cloud hosted VMs can be resized to minimize costs without compromising user experience or application performance - a screenshot of a sample report for Azure cloud VMs is shown

Figure 3: At-a-glance “Right-Sizing” reports for cloud hosted VMs (here shown for Azure instances) identify virtual machine instances that should be resized to save costs or improve performance and reliability

The powerful AI engine within eG Enterprise uses a range of machine learning and statistical analysis technologies to provide a powerful toolkit of predictive analytics and forecasting tools for IT teams to plan and understand future needs.

A screenshot of an ARIMA forecasting report on homepage response times metrics from eG Enterprise

Figure 4: IT administrators can access powerful forecasting algorithms beyond linear projections that include algorithms such as ARIMA that understand past performance and seasonality to predict future performance, including realistic ranges of behavior.

image of the cloud billing widget used on eG Enterprise dashboards. AIOps driven forecasting helps extrapolate and predict cloud billing charges

eG Enterprise is an Observability solution for Modern IT. Monitor digital workspaces,
web applications, SaaS services, cloud and containers from a single pane of glass.

Free Trial  See the platform

Figure 5: Beyond resource planning, eG Enterprise dashboards feature intelligent widgets to help you track and forecast cloud service costs

eG Enterprise is an Observability solution for Modern IT. Monitor digital workspaces,
web applications, SaaS services, cloud and containers from a single pane of glass.

Free Trial  See the platform

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