雲端網絡中的自動化服務保證

本報告調查了雲端網絡中自動化服務保障的趨勢，分析了自動化保障的驅動因素和挑戰，總結了自動化保障的要求、技術趨勢、市場預測、競爭格局、主要公司、各種建議等。

報告好處：

• 了解推動市場對雲友好型自動化保障解決方案需求的主要趨勢
• 隨著網絡變得更加雲化，對產品工程師進行有關人工智能驅動的雲保障軟件的關鍵設計要求的培訓
• 確定供應商用於設計和開發下一代服務保障解決方案的核心技術

關鍵問題的答案：

• CSP 選擇保障供應商的關鍵決定因素是什麼？
• 考慮到雲工具、軟件和 DevOps 方法，服務保障領域的演變是什麼？
• 供應方如何在端到端 (E2E) 自動化保障服務中實施大數據分析和人工智能？

調查要點：

• 供應商在將更適合雲端網絡的自動化保障解決方案推向市場時應考慮的關鍵技術趨勢摘要
• 分析雲堆棧（管理程序抽象層和平台即服務 (PaaS) 層）對事件監控、聚合和關聯的影響
• 考慮自動化保障解決方案的競爭格局

內容

• 執行摘要
• 推薦
• 雲端網絡保障
• 服務保證的定義
• 自動化保障的驅動因素
• 服務保證問題
• 服務保障的演變
• 當前和未來的情況
• 自動保證要求
• 網絡生命週期自動化
• 生命週期自動化的三個條件
• 端到端生命週期自動化
• 混合分析框架
• 自動化保證範圍
• 自動化框架
• 自動化疊加層和底層
• DevOps 週期中的自動化引擎
• 自動化什麼
• 市場預測
• 使用人工智能的維護工具
• 汽車保險供應商
• 自動保障市場現狀
• Accedian
• Infovista
• Netcracker
• RADCOM

Actionable Benefits:

• Determine key trends that are driving market demand for cloud-friendly and automated assurance solutions.
• Educate product engineers on key design requirements for Artificial Intelligence (AI)-powered and cloud assurance software as the industry progresses toward more cloudified networks.
• Identify the core technologies that suppliers are using to design and develop next-generation service assurance solutions.

Critical Questions Answered:

• What are the key decision factors for CSPs when selecting an assurance vendor?
• How is the service assurance domain evolving considering cloud tools, software, and DevOps methodologies?
• How is the supply side implementing big data analytics and AI in its End-to-End (E2E) automated assurance offering?

Research Highlights:

• Summaries of key technology strands that suppliers must consider as they bring to market automated assurance solutions that are more suitable to cloudified networks.
• Analysis of how the cloud stack-hypervisor abstraction and Platform-as-a-Service (PaaS) layers-impact event monitoring, aggregation, and correlation.
• Insights into the competitive landscape for automated assurance solutions.

Who Should Read This?

• Decision makers for networks and cloud infrastructure who need to understand key automation and service assurance imperatives.
• Innovation leaders and architects who need to understand how software and the cloud impact the existing service assurance landscape.
• Suppliers that need to understand Communication Service Providers' (CSPs) requirements and pain points so they can communicate to individual CSPs' circumstances.

Table of Contents

• Executive Summary
• Recommendations
• Assurance in Cloudified Networks
• Service Assurance Definition
• Automated Assurance Drivers
• Service Assurance Challenges
• Evolution of Service Assurance
• Current and Future Landscapes
• Assurance Requirements for Automation
• Network Lifecycle Automation
• Three Conditions for Lifecycle Automation
• E2E Lifecycle Automation
• A Hybrid Analytics Framework
• Automated Assurance Scope
• An Automation Framework
• Overlay and Underlay Automation
• Automation Engine in DevOps Cycles
• What to Automate
• Market Forecasts
• AI-Enabled Maintenance Tools
• Automated Assurance Suppliers
• Automated Assurance Market Landscape
• Accedian
• Infovista
• Netcracker
• RADCOM