ai

Segment Routing Agile Scrum Kanban —

Segment Routing Agile Scrum Kanban —

SR Agile

Segment Routing Agile Scrum Kanban —

Segment Routing Agile Scrum Kanban SR-MPLS SRv6 Traffic Engineering Network Automation CI/CD Ansible NAPALM Sprint Backlog Retrospective Production

FeatureSR-MPLSSRv6Traditional MPLS
SID TypeMPLS Label 20-bitIPv6 128-bitLDP/RSVP Label
ProtocolIGP ExtensionIGP + SRHLDP + RSVP-TE
Complexityต่ำปานกลางสูง
TE SupportSR PolicySR Policy + SRHRSVP-TE Tunnel
Service ChainจำกัดNative SRHไม่รองรับ
HardwareMPLS existingIPv6 capableMPLS existing
เหมาะกับBrownfield ISPGreenfield DCLegacy

SR Configuration

=== Segment Routing Configuration ===

Cisco IOS-XR — SR-MPLS

router isis CORE

address-family ipv4 unicast

segment-routing mpls

!

interface Loopback0

address-family ipv4 unicast

prefix-sid index 100

!

interface GigabitEthernet0/0/0/0

address-family ipv4 unicast

adjacency-sid absolute 15001

segment-routing

traffic-eng

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policy GOLD

color 100 end-point ipv4 10.0.0.5

candidate-paths

preference 100

explicit segment-list SL-GOLD

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index 10 mpls label 16002

index 20 mpls label 16005

Juniper — SRv6

set protocols isis source-packet-routing srv6

set protocols isis source-packet-routing node-segment ipv6-index 100

set protocols source-packet-routing srv6

locator LOC1 prefix 2001:db8:1::/48

Ansible Playbook for SR Deployment

  • name: Deploy SR-MPLS Config

hosts: routers

gather_facts: no

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tasks:

  • name: Configure Prefix-SID

ios_config:

lines:

  • segment-routing mpls
  • prefix-sid index {{ sr_index }}

parents:

  • router isis CORE
  • interface Loopback0
  • address-family ipv4 unicast

from dataclasses import dataclass

@dataclass

class SRNode:

hostname: str

role: str

loopback: str

prefix_sid: int

adjacency_sids: str

flex_algo: str

nodes = [

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SRNode("PE1", "Provider Edge", "10.0.0.1", 16001, "24001-24004", "Algo 128 (low-latency)"),

SRNode("P1", "Core", "10.0.0.2", 16002, "24011-24014", "Algo 0 (SPF)"),

SRNode("P2", "Core", "10.0.0.3", 16003, "24021-24024", "Algo 0 (SPF)"),

SRNode("PE2", "Provider Edge", "10.0.0.4", 16004, "24031-24034", "Algo 128 (low-latency)"),

SRNode("PE3", "Provider Edge", "10.0.0.5", 16005, "24041-24044", "Algo 129 (low-jitter)"),

]

print("=== SR Network Nodes ===")

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for n in nodes:

print(f" [{n.hostname}] Role: {n.role} | Lo0: {n.loopback}")

print(f" Prefix-SID: {n.prefix_sid} | Adj-SIDs: {n.adjacency_sids}")

print(f" Flex-Algo: {n.flex_algo}")

Agile Network Management

# === Agile Scrum for Network Operations ===

@dataclass
class SprintTask:
    task_id: str
    title: str
    priority: str
    status: str
    assignee: str
    sprint: str

tasks = [
    SprintTask("NET-101", "Deploy SR-MPLS on PE1-PE2", "High", "Done", "Alice", "Sprint 12"),
    SprintTask("NET-102", "Configure Flex-Algo 128", "High", "In Progress", "Bob", "Sprint 12"),
    SprintTask("NET-103", "Setup TI-LFA for fast reroute", "Medium", "To Do", "Charlie", "Sprint 12"),
    SprintTask("NET-104", "Ansible playbook for SR policy", "Medium", "In Progress", "Alice", "Sprint 12"),
    SprintTask("NET-105", "Monitor SR counters Grafana", "Low", "To Do", "Bob", "Sprint 13"),
    SprintTask("NET-106", "SRv6 POC in lab", "Low", "Backlog", "Charlie", "Sprint 13"),
]

print("=== Sprint Board ===")
for t in tasks:
    print(f"  [{t.task_id}] {t.title}")
    print(f"    Priority: {t.priority} | Status: {t.status}")
    print(f"    Assignee: {t.assignee} | Sprint: {t.sprint}")

# Kanban Metrics
kanban = {
    "Lead Time": "Config request to production: 3.5 days avg",
    "Cycle Time": "Development to deployment: 1.2 days avg",
    "WIP Limit": "Max 3 tasks per engineer",
    "Throughput": "8 network changes per sprint",
    "Blocked Rate": "12% — mostly waiting for change window",
    "Defect Rate": "2% — config rollback needed",
}

print(f"\n\nKanban Metrics:")
for k, v in kanban.items():
    print(f"  [{k}]: {v}")

Automation Pipeline

=== CI/CD for Network Config ===

GitLab CI Pipeline

stages:

Segment Routing Agile Scrum Kanban —
  • validate
  • test
  • deploy

validate:

stage: validate

script:

  • python -m py_compile config_generator.py
  • yamllint inventory/*.yml
  • ansible-lint playbooks/*.yml

test:

stage: test

script:

  • batfish-client validate configs/
  • pytest tests/test_sr_config.py

deploy:

stage: deploy

script:

  • ansible-playbook -i inventory/production playbooks/sr_deploy.yml

when: manual

only: [main]

@dataclass

class PipelineStage:

stage: str

tools: str

duration: str

gate: str

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rollback: str

stages = [

PipelineStage("Lint", "yamllint ansible-lint pylint", "30s", "Auto pass", "N/A"),

PipelineStage("Validate", "Batfish config analysis", "2 min", "No errors", "Block deploy"),

PipelineStage("Unit Test", "pytest mock routers", "1 min", "100% pass", "Block deploy"),

PipelineStage("Integration", "Lab routers GNS3/EVE-NG", "10 min", "Connectivity verified", "Block deploy"),

PipelineStage("Deploy Staging", "Ansible to staging", "5 min", "Health check pass", "Auto rollback"),

PipelineStage("Deploy Production", "Ansible to production", "15 min", "Manual approval + health", "Auto rollback"),

]

print("CI/CD Pipeline:")

for s in stages:

print(f" [{s.stage}] Tools: {s.tools}")

print(f" Duration: {s.duration} | Gate: {s.gate}")

print(f" Rollback: {s.rollback}")

เคล็ดลับ

  • Prefix-SID: กำหนด Prefix-SID Index ตาม Convention เช่น 1xxxx ต่อ Node
  • TI-LFA: เปิด TI-LFA ทุก Interface สำหรับ Fast Reroute < 50ms
  • Ansible: ใช้ Ansible สำหรับ Config ทุกครั้ง ไม่ Manual CLI
  • Sprint: วางแผน Network Change เป็น Sprint 2 สัปดาห์
  • Rollback: เตรียม Rollback Config ทุกครั้งก่อน Deploy

Segment Routing คืออะไร

Segment ID SID กำหนดเส้นทาง SR-MPLS Label SRv6 IPv6 ลดความซับซ้อน IGP OSPF IS-IS Traffic Engineering Flex-Algo TI-LFA Fast Reroute

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