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Observability & AIOps

One view of the estate, and the correlation to make it mean something.

Most operations teams do not lack monitoring — they have several tools, each covering a slice of the estate, each raising its own alerts. The result is volume without visibility: an incident produces alerts from four systems and no statement of what actually broke.

Observability work consolidates that picture. It covers infrastructure and application telemetry, correlates events so related alerts resolve into one signal, and connects the outcome to service management so the operational response is defined rather than improvised.

What the engagement covers

Infrastructure monitoring

Coverage across compute, storage, network and virtualisation, including IBM Power estates via XormonXD and LPAR2RRD.

Application performance

Visibility into application behaviour alongside the infrastructure it depends on, rather than as a separate view.

Event correlation

Reduce alert volume by correlating related events, so operations respond to incidents rather than to symptoms.

ITSM integration

Connect monitoring to service management with Motadata ServiceOps, so detection carries into a tracked response.

Capacity and operational intelligence

Trend capacity and performance over time to support planning decisions with recorded behaviour rather than estimates.

Where this applies

This work usually follows a period of tool sprawl, a merger of estates, or an operations team carrying more alerts than it can triage.

Technologies

  • Motadata
  • XormonXD
  • ITSM
  • Event correlation
  • Application performance

Describe the estate. An engineer will tell you what actually applies.

The first conversation is a technical one, not a pitch. Tell us what the environment looks like and the constraint you are working against.

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What are you trying to modernise?

Infrastructure, automation, Linux, OpenShift, observability, cybersecurity or operational support — start the conversation with an Azul engineer.

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