LUMEN-IT NOC TRANSFORMATION

ABOUT LUMEN-IT

01
OUR COMPANY
Lumen-IT specializes in intelligent graph-based analytics solutions for critical IT infrastructures. With over 15 years of experience in NOC operations, we develop innovative solutions for telecommunications, energy, and enterprise customers.
02
EXPERTISE
Our core competency lies in graph-based root cause analysis and intelligent correlation algorithms. We understand the complex dependencies of modern IT infrastructures and translate them into practical, automated solutions.
03
SUCCESS
Proven projects across various organizations in telecommunications, energy, and enterprise environments. Our technology has been validated in production environments and achieved measurable improvements in NOC efficiency.
04
VISION
We make IT operations intelligent, predictable, and self-healing. Our goal is to lead NOC teams from reactive incident management to proactive infrastructure optimization.

CURRENT SITUATION

CURRENT CHALLENGES

  • High time investment – Your NOC team currently requires 2–6 hours for root cause analysis per incident
  • Manual alarm correlation – Merging alerts from different systems is done manually, causing delays and inconsistent results
  • Knowledge dependencies – Critical operational knowledge is tied to individual experts, leading to dependencies and operational risks
  • Recurring problems – 40% of incidents are repeats due to incomplete root cause resolution
  • Reactive approach – Problems are only fixed after they impact customers

TARGET SITUATION

  • Fast problem identification – Identify root causes in minutes instead of hours
  • Automated correlation – Intelligent linking of all relevant events
  • Consistent analysis quality – Independent of available experts
  • Reduced MTTR – From 4-6 hours to under 45 minutes
  • Preventive maintenance – Solve problems before they occur
  • Knowledge retention – Expert knowledge available in algorithms

PROBLEMS TODAY

01
TIME CONSUMPTION
2-6 hours MTTR
Engineers spend hours manually correlating alarms from various systems. Trial-and-error approaches unnecessarily extend resolution time.
02
KNOWLEDGE SILOS
Expert dependencies
Essential troubleshooting know-how is concentrated on a few key individuals. Their absence leads to significant delays in analysis and increases operational risk.
03
REPEATERS
40% recurring problems
Similar incidents keep occurring because root causes are not systematically captured and resolved.
04
DOCUMENTATION
Incomplete capture
Lessons learned are lost because documentation is incomplete or hard to find. No continuous learning.

THE HIDDEN COSTS

OPERATIONAL COSTS

2-6h average MTTR

60% time for manual work

€450 cost per incident

40% recurring problems

BUSINESS IMPACT

Unsatisfied customers due to longer outages

Stressed teams due to constant time pressure

Lost knowledge during staff changes

Suboptimal resource utilization

GRAPH-BASED SOLUTION

01
INTELLIGENT CORRELATION
Our graph technology automatically links events from your entire infrastructure. Complex dependencies are analyzed in real-time and probable root causes are identified in minutes.
02
AUTOMATED ANALYSIS
Machine learning algorithms continuously learn from historical data and current patterns. The system becomes smarter and more precise with each incident.
03
SOLUTION RECOMMENDATIONS
Step-by-step guidance with confidence scoring helps your engineers with rapid problem resolution. Proven solution paths are automatically suggested.
04
CONTINUOUS LEARNING
Every incident is automatically documented and analyzed. The system continuously builds a comprehensive knowledge base and improves its accuracy.

MEASURABLE BENEFITS

80%
FASTER RCA
From 2-4 hours to 15-30 minutes average root cause analysis time. Automated correlation eliminates manual search work.
60%
FEWER REPEATERS
Systematic root cause resolution and continuous learning drastically reduce recurring problems.
95%
CONSISTENT QUALITY
Consistently high analysis quality independent of available experts or time of day.

OPERATIONAL EXCELLENCE

IMPROVED PERFORMANCE

MTTR: 4h → 45min

First-Time-Fix: +40%

Escalations: -50%

Availability: 99.9%+

TEAM RELIEF

75% less manual work

Focus on complex cases

Less stress

Continuous learning

ROI CALCULATION

Calculate Your Savings

PARTNERS & TARGET CUSTOMERS

TECHNOLOGY PARTNERS

  • Neo4j – Enterprise Graph Database Platform
  • Apache Foundation – Kafka, Spark for Event Processing
  • Elastic – Search and Analytics Stack
  • Red Hat – Enterprise Linux and OpenShift
  • VMware – Virtualization and Cloud Infrastructure

DEVELOPMENT STACK

  • Python/Java – Core Development Frameworks
  • React/Node.js – Frontend Development
  • Docker/Kubernetes – Container Orchestration
  • GitLab/Jenkins – CI/CD Pipeline
  • Prometheus/Grafana/Check_MK – Monitoring Stack
  • REST/GraphQL – API Development

CHECK_MK INTEGRATION & AUTOMATED INCIDENT RESOLUTION

Workflow: Check_MK → Graph RCA → Auto-Remediation

1. Alert Ingestion
Check_MK → Kafka
Sub-second processing
2. Graph Correlation
Automated root cause analysis
Pattern matching
3. Auto-Remediation
Immediate problem resolution
SLA-compliant solution
P1-CRITICAL: HFC Cable Network Issue
Check_MK Alert → Graph RCA → Solution
Alert & Impact:
SNR degraded → 847 customers affected

RCA Correlation:
Weather + amplifier cascade + customer complaints

Auto-Remediation & Business Impact:
• Root cause: Water ingress at amplifier
• Action: Technician dispatched with waterproofing kit
• ETA: 45 min – SLA met
P1-CRITICAL: 5G Network Congestion
Check_MK Alert → Graph RCA → Solution
Alert & Impact:
Cell overloaded by stadium event (+340% handover failures)

RCA Correlation:
Stadium event + available neighbor cells + core capacity

Auto-Remediation & Business Impact:
• Root cause: Inadequate load balancing parameters
• Action: Auto-adjustment of handover thresholds
• ETA: Immediate – emergency services restored
P2-HIGH: Fiber Network Outage
Check_MK Alert → Graph RCA → Solution
Alert & Impact:
64 ONTs offline → business customers affected

RCA Correlation:
Construction work + OTDR measurement + backup availability

Auto-Remediation & Business Impact:
• Root cause: Fiber cut during construction
• Action: Protection switching to backup fiber
• ETA: Immediate backup active, repair 2h
P3-MEDIUM: VoIP Quality Issue
Check_MK Alert → Graph RCA → Solution
Alert & Impact:
Call quality degraded (MOS 3.2, jitter >50ms)

RCA Correlation:
BGP route change + additional hops + QoS status

Auto-Remediation & Business Impact:
• Root cause: Suboptimal routing via congested transit
• Action: Traffic engineering to alternate path
• ETA: 15 min – continuous MOS monitoring
P3-MEDIUM: Cable Modem Issues
Check_MK Alert → Graph RCA → Solution
Alert & Impact:
High error rates on specific cable modems (ZIP 80202-80205)

RCA Correlation:
Arris SB8200 models + firmware version + error patterns

Auto-Remediation & Business Impact:
• Root cause: Firmware bug in Arris SB8200 v9.1.103N
• Action: Rolling firmware update to v9.1.103P
• ETA: Maintenance window 2-6 AM – performance normalized
P2-HIGH: Core Network Congestion
Check_MK Alert → Graph RCA → Solution
Alert & Impact:
Router 95% utilization → video streaming degraded

RCA Correlation:
CDN cache miss (+60% traffic) + origin server performance

Auto-Remediation & Business Impact:
• Root cause: CDN cache server maintenance causing traffic spike
• Action: Traffic redirection to alternative CDN edge servers
• ETA: 10 min – customer experience normalized

BUSINESS RESULTS

80% faster
Incident resolution
95% SLA
Compliance
€500K+
Annual savings
+25%
Customer satisfaction

TECHNOLOGY OVERVIEW

TECHNICAL ARCHITECTURE

  • Neo4j Enterprise Graph Database – High-performance storage of complex relationships
  • Apache Kafka – Real-time event streaming and processing
  • Machine Learning – Pattern recognition and anomaly detection
  • Elasticsearch – Full-text search and log aggregation
  • Kubernetes – Container orchestration and scaling
  • REST/GraphQL APIs – Integration with existing systems

INTEGRATION & SECURITY

  • SNMP/WMI Integration – Automatic data collection
  • Syslog Aggregation – Central log processing
  • Ticketing System Integration – ServiceNow, Remedy, JIRA
  • Enterprise Security – LDAP/AD integration, RBAC
  • Compliance – GDPR, SOX, ISO 27001 compliant
  • High Availability – 99.9%+ availability guaranteed

CORE TECHNOLOGIES

Graph Analytics

Complex dependency analysis and intelligent correlation in real-time

Machine Learning

Continuous learning and improvement of analysis accuracy

Event Processing

High-performance real-time processing of millions of events

IMPLEMENTATION PHASES

P1
ANALYSIS
Weeks 1-2:
• Current state analysis
• Data source inventory
• Integration requirements
• Success criteria definition
• Project team setup
P2
INTEGRATION
Weeks 3-8:
• API connections setup
• Data pipeline creation
• Graph database deployment
• Security configuration
• Initial data ingestion
P3
TRAINING
Weeks 9-14:
• Historical data analysis
• Graph model training
• Pattern recognition setup
• Algorithm tuning
• First RCA recommendations
P4
DEPLOYMENT
Weeks 15-18:
• Pilot testing
• Team training
• Production deployment
• Performance monitoring
• Continuous optimization

SUCCESS FACTORS

FAST RESULTS

First improvements after 4-6 weeks

Gradual introduction without disruption

Risk minimization through pilot approach

SUSTAINABLE IMPLEMENTATION

Comprehensive training and change management

Continuous improvement through system learning

24/7 support and monitoring

NEXT STEPS

01
TECHNICAL DEEP-DIVE
Detailed system analysis
• Assessment of your current NOC landscape
• Identification of key integration points
• Technical architecture workshop
• Proof of concept planning
02
PILOT DEFINITION
Use cases & success criteria
• Definition of key use cases
• Setting measurable success criteria
• Pilot scope and timeline
• Team setup and responsibilities
03
BUSINESS CASE
ROI calculation & approval
• Detailed cost-benefit analysis
• Budget planning and approval process
• Stakeholder presentations
• Contract negotiations
04
PROJECT START
Kick-off & team setup
• Project kick-off meeting
• Team building and role definition
• Communication framework
• First implementation steps

READY FOR THE NEXT STEP?

No-Obligation Kickstart

Analysis & prioritization of your NOC and RCA challenges

Technical Assessment

Detailed analysis of your NOC environment

Demo Session

Live demonstration with your data

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