云端网络中的自动化服务保证

本报告调查了云端网络中自动化服务保障的趋势，分析了自动化保障的驱动因素和挑战，总结了自动化保障的要求、技术趋势、市场预测、竞争格局、主要公司、各种建议等。

报告好处：

• 了解推动市场对云友好型自动化保障解决方案需求的主要趋势
• 随着网络变得更加云化，对产品工程师进行有关人工智能驱动的云保障软件的关键设计要求的培训
• 确定供应商用于设计和开发下一代服务保障解决方案的核心技术

关键问题的答案：

• CSP 选择保障供应商的关键决定因素是什么？
• 考虑到云工具、软件和 DevOps 方法，服务保障领域的演变是什么？
• 供应方如何在端到端 (E2E) 自动化保障服务中实施大数据分析和人工智能？

调查要点：

• 供应商在将更适合云端网络的自动化保障解决方案推向市场时应考虑的关键技术趋势摘要
• 分析云堆栈（管理程序抽象层和平台即服务 (PaaS) 层）对事件监控、聚合和关联的影响
• 考虑自动化保障解决方案的竞争格局

内容

• 执行摘要
• 推荐
• 云端网络保障
• 服务保证的定义
• 自动化保障的驱动因素
• 服务保证问题
• 服务保障的演变
• 当前和未来的情况
• 自动保证要求
• 网络生命週期自动化
• 生命週期自动化的三个条件
• 端到端生命週期自动化
• 混合分析框架
• 自动化保证范围
• 自动化框架
• 自动化迭加层和底层
• DevOps 週期中的自动化引擎
• 自动化什么
• 市场预测
• 使用人工智能的维护工具
• 汽车保险供应商
• 自动保障市场现状
• 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