Multi‑Domain Orchestration

  Course Code: VF2604

Course Details

Duration: 1 Day

Description

Key Topics Covered

  • Foundations of closed-loop automation, including the Monitor–Analyse–Decide–Act model and its role in improving service reliability, efficiency, and SLA performance across network domains
  • Telemetry and real-time observability, covering data collection from multi-domain sources, streaming analytics, and integration with assurance systems
  • Analytics and decision-making frameworks, including rule-based and AI-driven policy engines for SLA monitoring, predictive analysis, and automated decision triggers
  • Automated orchestration and remediation actions, enabling scaling, rerouting, reconfiguration, and fault recovery across RAN, Core, Transport, and Cloud
  • End-to-end service assurance integration, including KPI monitoring, SLA enforcement, incident automation, and alignment with operational processes

Learning Outcomes

  • Apply closed‑loop automation frameworks (monitor → analyse → decide → act)
  • Identify relevant telemetry/KPI sources for real‑time decisions
  • Explain interplay between analytics engines and orchestration layers
  • Understand assisted vs full closed‑loop implementation models.

Target Audience

  • Network automation engineers
  • AI/analytics engineers supporting network assurance
  • OSS platform architects
  • Operations teams responsible for service assurance and performance

Course Details

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  • Courses run 9am-12.30pm (1/2 Day) or 9am-5pm (Full Day).
  • Delivered by a subject mater experts with decades of experience.
  • Available as face-to-face classroom or live online virtual classroom.
SCHEDULE TRAINING DATE

Multiple Delegates: Customised in-company course

  • Cost-effective training solutions that reduce the cost per learner and maximise the value of your training budget.
  • Tailored course content aligned to your network, technologies, projects and objectives for maximum relevance and impact.
  • Train your team together to build consistent skills, share knowledge and accelerate capability development.
Contact info@wraycastle.com for more information.

Description

Key Topics Covered

  • Foundations of closed-loop automation, including the Monitor–Analyse–Decide–Act model and its role in improving service reliability, efficiency, and SLA performance across network domains
  • Telemetry and real-time observability, covering data collection from multi-domain sources, streaming analytics, and integration with assurance systems
  • Analytics and decision-making frameworks, including rule-based and AI-driven policy engines for SLA monitoring, predictive analysis, and automated decision triggers
  • Automated orchestration and remediation actions, enabling scaling, rerouting, reconfiguration, and fault recovery across RAN, Core, Transport, and Cloud
  • End-to-end service assurance integration, including KPI monitoring, SLA enforcement, incident automation, and alignment with operational processes

Learning Outcomes

  • Apply closed‑loop automation frameworks (monitor → analyse → decide → act)
  • Identify relevant telemetry/KPI sources for real‑time decisions
  • Explain interplay between analytics engines and orchestration layers
  • Understand assisted vs full closed‑loop implementation models.

Target Audience

  • Network automation engineers
  • AI/analytics engineers supporting network assurance
  • OSS platform architects
  • Operations teams responsible for service assurance and performance

Our Clients & Partners

  • UIC Rail Academy
  • IEEE
  • TCCA
  • UKTIN
  • DB
  • Scotish Fire
  • MTN
  • All Points Fibre
  • Department of Defence

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