AI & AIOps

Make IT Operations More Intelligent, Proactive and Automated

Modern IT environments generate enormous amounts of telemetry across applications, servers, networks, databases and cloud platforms. VBROS helps organizations turn that operational data into actionable intelligence through observability, AI-assisted analytics, event correlation and automation.

Capabilities

Core solution capabilities

Technical and operational capabilities that can be combined around the workload or business requirement.

01

Intelligent Observability

Bring metrics, logs, traces, events and infrastructure signals into a more unified operational view.

02

Event Correlation

Group related alerts and events to reduce noise and improve incident visibility.

03

Anomaly Detection

Identify unusual application, infrastructure and network behavior before it becomes a larger operational issue.

04

Root-Cause Analysis

Correlate application, infrastructure and dependency data to help engineers investigate incidents faster.

05

Automated Remediation

Connect approved runbooks and workflows to known operational events.

06

Predictive Operations

Use historical and real-time telemetry to identify patterns that may indicate capacity, performance or availability issues.

Technical Architecture

How the solution works technically

Technical design is aligned to workload requirements, integration points, operational controls, security and long-term maintainability.

Operational Data Layer

Collect and normalize telemetry before AI or automation consumes it.

  • Metrics, logs, traces and events
  • Service and dependency topology
  • Change and deployment signals

Intelligence Layer

Correlate operational signals and apply analytics to prioritize meaningful events.

  • Event correlation
  • Anomaly detection
  • Incident prioritization
  • Root-cause analysis

Automation Layer

Connect detection to controlled workflows and approved remediation actions.

  • Runbooks and playbooks
  • Webhook/API automation
  • Jenkins or GitHub Actions workflows

Operations Controls

Keep AI-assisted operations observable, auditable and governed.

  • Role-based access
  • Change approval
  • Audit trails
  • Operational dashboards

Technology Ecosystem

Technology that supports the solution

Publish only the platforms VBROS can genuinely deliver, implement or support.

Observability

OpenTelemetry • Prometheus • Grafana • Elastic • Datadog

Cloud Monitoring

AWS CloudWatch • Azure Monitor • Google Cloud Operations

Automation

Ansible • Terraform • Jenkins • GitHub Actions

AI

AWS AI/ML Services • Azure AI • Google Cloud AI • Approved GenAI APIs

Containers

Docker • Kubernetes • Amazon EKS • Azure AKS

FAQ

Frequently asked questions

Does AIOps replace IT teams?

No. It reduces repetitive operational work and provides better context for engineers.

Does AIOps require replacing existing monitoring tools?

Not necessarily. AIOps can complement existing monitoring and observability platforms.

Can AIOps work with AWS and Azure?

Yes, architectures can aggregate telemetry across cloud, on-premises and hybrid environments.

What data is required?

Metrics, logs, traces, events, topology and change information are typical inputs.

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