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Updated Agentic project with new features and playbooks
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‎agentic/dashboard.html

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‎agentic/dashboard.js

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‎agentic/main_new.py

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‎agentic/playbooks/.ipynb_checkpoints/adjust_upf_load_balancing-checkpoint.yml

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‎agentic/playbooks/.ipynb_checkpoints/ansible-checkpoint.cfg

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‎agentic/playbooks/.ipynb_checkpoints/inventory-checkpoint.ini

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‎agentic/playbooks/.ipynb_checkpoints/resource_optimization-checkpoint.yml

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‎agentic/playbooks/.ipynb_checkpoints/restart_smf_service-checkpoint.yml

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‎agentic/playbooks/.ipynb_checkpoints/scale_amf_resources-checkpoint.yml

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‎agentic/playbooks/adjust_upf_load_balancing.yml

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---
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- name: Adjust UPF Load Balancing
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hosts: localhost
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gather_facts: no
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vars:
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load_threshold: "{{ threshold | default(80) }}"
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component: "{{ component | default('upf') }}"
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anomaly_id: "{{ anomaly_id | default('unknown') }}"
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severity: "{{ severity | default('MEDIUM') }}"
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optimization_level: "{{ 'aggressive' if severity == 'CRITICAL' else 'standard' }}"
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tasks:
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- name: Log load balancing action start
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debug:
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msg: |
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=================================================
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ANSIBLE PLAYBOOK EXECUTION STARTED
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=================================================
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Playbook: Adjust UPF Load Balancing
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Anomaly ID: {{ anomaly_id }}
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Component: {{ component }}
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Severity: {{ severity }}
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Load Threshold: {{ load_threshold }}%
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Optimization: {{ optimization_level }}
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Timestamp: {{ ansible_date_time.iso8601 }}
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=================================================
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- name: Analyze current UPF load distribution
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debug:
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msg: |
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DEMO: Current load analysis:
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- Primary UPF: 95% utilization (HIGH)
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- Secondary UPF: 45% utilization (NORMAL)
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- Backup UPF: 20% utilization (LOW)
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- Latency impact: +30ms average
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- name: Calculate optimal load distribution
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debug:
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msg: |
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DEMO: Calculating optimal distribution:
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- Target threshold: {{ load_threshold }}%
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- New distribution: 70% / 65% / 40%
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- Expected latency reduction: -25ms
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- name: Backup current load balancer configuration
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debug:
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msg: "DEMO: Creating backup of current load balancer rules"
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- name: Update UPF load balancer weights
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debug:
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msg: |
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DEMO: Updating load balancer configuration:
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upstream upf_backend {
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server upf-primary:8080 weight=3;
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server upf-secondary:8080 weight=3;
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server upf-backup:8080 weight=2;
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least_conn;
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keepalive 32;
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}
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- name: Apply traffic routing optimizations
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debug:
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msg: |
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DEMO: Applying traffic routing rules:
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- High priority traffic: Direct to least loaded UPF
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- Normal traffic: Round-robin distribution
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- Background traffic: Route to backup UPF
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- name: Configure connection pooling
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debug:
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msg: |
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DEMO: Optimizing connection pools:
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- Max connections per UPF: 1000
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- Connection timeout: 5s
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- Keep-alive: 300s
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- Health check interval: 10s
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- name: Update quality of service rules
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debug:
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msg: |
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DEMO: QoS configuration updated:
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- Voice calls: Priority queue
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- Video streaming: Guaranteed bandwidth
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- Data transfer: Best effort
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- name: Apply configuration changes
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debug:
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msg: "DEMO: Reloading load balancer with new configuration (graceful reload)"
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- name: Wait for configuration propagation
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debug:
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msg: "DEMO: Waiting for configuration to propagate across all UPF instances"
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- name: Verify load distribution
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debug:
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msg: |
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DEMO: Post-adjustment verification:
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- Primary UPF: 72% utilization (OPTIMAL)
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- Secondary UPF: 68% utilization (OPTIMAL)
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- Backup UPF: 42% utilization (OPTIMAL)
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- Average latency: 38ms (-27ms improvement)
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- name: Run performance tests
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debug:
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msg: |
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DEMO: Performance test results:
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- Throughput: 1.2 Gbps (+200 Mbps)
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- Packet loss: 0.001% (-0.004%)
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- Jitter: 2ms (-6ms)
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- Connection success rate: 99.98%
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- name: Log load balancing completion
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debug:
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msg: |
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=================================================
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ANSIBLE PLAYBOOK EXECUTION COMPLETED
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=================================================
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Result: SUCCESS
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Action: UPF load balancing optimized
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Latency improvement: -27ms
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Throughput increase: +200 Mbps
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Load distribution: BALANCED
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Duration: ~60 seconds
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=================================================
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- name: Create execution report
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debug:
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msg: |
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Execution Summary:
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- Anomaly {{ anomaly_id }} addressed
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- UPF load balancing optimized
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- Latency reduced by 27ms
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- Throughput increased by 200 Mbps
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- All UPF instances within optimal range
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- Monitor for 20 minutes to ensure stability

‎agentic/playbooks/ansible.cfg

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[defaults]
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inventory = inventory.ini
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host_key_checking = False
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timeout = 30
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gathering = explicit
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display_skipped_hosts = False
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display_ok_hosts = True
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stdout_callback = yaml
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bin_ansible_callbacks = True
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[inventory]
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enable_plugins = ini
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[ssh_connection]
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ssh_args = -o ControlMaster=auto -o ControlPersist=60s
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pipelining = True

‎agentic/playbooks/group_vars/.ipynb_checkpoints/all-checkpoint.yml

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‎agentic/playbooks/group_vars/all.yml

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---
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# Global variables for all playbooks
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demo_mode: true
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environment: "development"
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monitoring_enabled: true
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notification_webhook: "http://localhost:30080/webhook"
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# Default resource limits
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default_cpu_limit: "2000m"
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default_memory_limit: "4Gi"
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# Network optimization defaults
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default_load_threshold: 80
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default_timeout: 30
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# Kubernetes namespace
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k8s_namespace: "5g-core"
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# Logging configuration
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log_level: "INFO"
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log_retention_days: 7
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# Health check settings
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health_check_interval: 30
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health_check_timeout: 10

‎agentic/playbooks/inventory.ini

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[5g_core]
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localhost ansible_connection=local
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[amf_nodes]
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localhost ansible_connection=local
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[smf_nodes]
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localhost ansible_connection=local
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[upf_nodes]
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localhost ansible_connection=local
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[all_5g_nodes:children]
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amf_nodes
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smf_nodes
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upf_nodes
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[all_5g_nodes:vars]
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ansible_python_interpreter=/usr/bin/python3
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demo_mode=true
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environment=development

‎agentic/playbooks/resource_optimization.yml

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---
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- name: Optimize Network Resources
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hosts: localhost
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gather_facts: yes
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vars:
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component: "{{ component | default('all') }}"
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anomaly_id: "{{ anomaly_id | default('unknown') }}"
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severity: "{{ severity | default('MEDIUM') }}"
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optimization_scope: "{{ 'full' if severity == 'CRITICAL' else 'targeted' }}"
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tasks:
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- name: Log optimization action start
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debug:
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msg: |
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=================================================
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ANSIBLE PLAYBOOK EXECUTION STARTED
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=================================================
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Playbook: Optimize Network Resources
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Anomaly ID: {{ anomaly_id }}
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Component: {{ component }}
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Severity: {{ severity }}
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Scope: {{ optimization_scope }}
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Target: All 5G Core components
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Timestamp: {{ ansible_date_time.iso8601 }}
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=================================================
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- name: Perform system health assessment
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debug:
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msg: |
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DEMO: System health assessment:
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- CPU utilization: 78% (HIGH)
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- Memory usage: 85% (HIGH)
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- Network I/O: 92% (CRITICAL)
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- Disk I/O: 45% (NORMAL)
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- Cache hit ratio: 67% (SUBOPTIMAL)
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- name: Clear system caches
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debug:
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msg: |
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DEMO: Executing cache optimization:
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echo 3 > /proc/sys/vm/drop_caches
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Cache statistics:
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- Page cache freed: 2.1 GB
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- Buffer cache freed: 512 MB
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- Inode cache freed: 256 MB
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- Total memory reclaimed: 2.9 GB
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- name: Optimize network buffer sizes
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debug:
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msg: |
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DEMO: Updating network buffer configurations:
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/etc/sysctl.conf updates:
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net.core.rmem_max = 268435456 # 256MB receive buffer
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net.core.wmem_max = 268435456 # 256MB send buffer
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net.ipv4.tcp_rmem = 4096 87380 268435456
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net.ipv4.tcp_wmem = 4096 65536 268435456
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net.core.netdev_max_backlog = 30000
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net.ipv4.tcp_congestion_control = bbr
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- name: Optimize database connections
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debug:
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msg: |
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DEMO: Database optimization:
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- Connection pool size: Increased to 200
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- Query cache: Cleared and optimized
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- Index analysis: Completed
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- Slow queries: Identified and optimized
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- name: Clean up temporary files
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debug:
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msg: |
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DEMO: Cleanup operations:
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- Temporary files removed: 1.2 GB
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- Log rotation applied: 800 MB freed
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- Core dumps cleaned: 2.1 GB
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- Old container images: 5.2 GB
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- name: Optimize container resource limits
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debug:
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msg: |
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DEMO: Container resource optimization:
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AMF containers:
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- CPU limit: 2000m → 2500m
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- Memory limit: 4Gi → 5Gi
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SMF containers:
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- CPU limit: 1500m → 2000m
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- Memory limit: 3Gi → 4Gi
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UPF containers:
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- CPU limit: 3000m → 3500m
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- Memory limit: 6Gi → 7Gi
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- name: Apply CPU governor optimizations
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debug:
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msg: |
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DEMO: CPU performance optimization:
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- Governor: ondemand → performance
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- CPU frequency scaling: Disabled
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- Turbo boost: Enabled
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- CPU affinity: Optimized for network workloads
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- name: Optimize network interface parameters
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debug:
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msg: |
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DEMO: Network interface optimization:
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- Ring buffer size: Increased
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- Interrupt coalescing: Optimized
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- RSS (Receive Side Scaling): Enabled
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- GRO (Generic Receive Offload): Enabled
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- name: Update monitoring thresholds
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debug:
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msg: |
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DEMO: Monitoring threshold updates:
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- CPU alert threshold: 80% → 85%
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- Memory alert threshold: 85% → 90%
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- Network utilization: 90% → 95%
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- Response time SLA: Adjusted for new baseline
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- name: Restart affected services with optimization
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debug:
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msg: |
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DEMO: Service restart sequence:
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1. AMF services: Rolling restart (0 downtime)
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2. SMF services: Rolling restart (0 downtime)
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3. UPF services: Blue-green deployment
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4. Load balancers: Configuration reload
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- name: Verify system performance
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debug:
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msg: |
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DEMO: Post-optimization verification:
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- CPU utilization: 78% → 62% (-16%)
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- Memory usage: 85% → 68% (-17%)
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- Network I/O: 92% → 74% (-18%)
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- Response time: 45ms → 32ms (-29%)
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- Throughput: +35% improvement
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- name: Run comprehensive health check
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debug:
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msg: |
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DEMO: System health check results:
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✅ All 5G core services: HEALTHY
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✅ Database connectivity: OPTIMAL
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✅ Network performance: IMPROVED
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✅ Resource utilization: BALANCED
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✅ SLA compliance: 99.9%
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- name: Log optimization completion
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debug:
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msg: |
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=================================================
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ANSIBLE PLAYBOOK EXECUTION COMPLETED
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=================================================
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Result: SUCCESS
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Action: Comprehensive resource optimization
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Performance improvement: +35%
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Memory freed: 2.9 GB
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Response time: -29%
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Status: All systems optimal
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Duration: ~120 seconds
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=================================================
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- name: Create execution report
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debug:
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msg: |
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Execution Summary:
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- Anomaly {{ anomaly_id }} addressed
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- System-wide optimization completed
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- Performance improved by 35%
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- Memory usage reduced by 17%
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- Network efficiency increased by 18%
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- All SLA targets met
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- Extended monitoring for 30 minutes recommended
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Optimization Actions Taken:
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1. System cache clearing
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2. Network buffer optimization
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3. Database connection tuning
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4. Container resource scaling
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5. CPU performance optimization
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6. Network interface tuning
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7. Service restart with zero downtime

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