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BMC

TrueSight Infrastructure Management 将企业级监控、事件管理和运营分析数据整合在一起,使 IT 团队能够全方位集中查看其 IT 基础设施的运行状况和性能。

从自下而上的传统方法迁移到 IT 基础设施管理时能够提高效率

  • 企业监控和事件管理 – 检测、分析影响业务的事件并采取相应措施
  • IT 运营分析 – 运用行为学习和日志分析以减少 MTTR
  • 广泛深入的覆盖范围 - 关键技术供应商提供开箱即用的覆盖范围,以及通过 API、SDK、脚本和 Sentry 监视室 的自定义集成
  • ITSM 集成 – 将 TrueSight 与 BMC Helix Remedy Service Management 相集成,从而实现自动票据创建、丰富化和路由
  • 云就绪 – 在多重云环境中监控 IT 基础设施和应用程序资源的运行状况和性能

体验云就绪的 IT 基础设施管理

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利用分析的力量主动管理您的多重云基础设施

Get a bird’s eye view of your IT infrastructure

Monitoring and event management

Define and perform telemetry from the end user perspective to solve business problems, rather than blindly reacting to state changes in infrastructure components. TrueSight empowers you to troubleshoot the root cause of degraded application performance by diving into underlying infrastructure metrics, events, and logs.

  • Reduce event volume by decreasing event noise through analytics
  • Decrease false alarms by up to 90%
  • Lower MTTR (mean time to repair) by up to 75%
  • Warn IT when a metric is trending out-of-band, up to 3 hours before a baseline is breached, with predictive analytics
  • Resolve 40% more incidents automatically

概览您的 IT 基础设施

监控和事件管理

从最终用户的角度定义并执行遥测以解决业务问题,而不是盲目地对基础设施组件中的状态变化作出反应。通过深入了解底层基础设施指标、事件和日志,TrueSight 使您可以诊断出应用程序性能下降的根本原因。

  • 通过分析降低事件噪音,减少事件数量
  • 减少多达 90% 的误报
  • MTTR(平均修复时间)降低多达 75%
  • 借助预测分析,当指标呈现超出范围的趋势时,在违反基准之前最多 3 小时内向 IT 发出警告
  • 自动解决 40% 以上的事件

Reduce event noise through dynamic baselining

Behavioral Learning

TrueSight uses patented self-learning, self-configuring analytics that automatically discover and learn the behavioral and performance trends for monitored infrastructure and application components. Understanding their relationships over time better identifies normal and abnormal behavior rather than relying on static thresholds that don’t reflect business reality.

  • See events only when there is significant abnormal behavior and reliably predict potential problems
  • Detect events that might otherwise be missed by traditional static thresholds
  • Pinpoint and prioritize your most critical business issues—regardless of source—significantly streamlining subsequent event and impact management efforts

通过制定动态基线降低事件噪音

行为学习

TrueSight 采用获得专利的自主学习、自我配置的分析功能,可自动发现和了解受监控的基础设施与应用程序组件的行为和性能趋势。了解它们随时间推移的关系可以更好地识别正常和异常行为,而不是依赖于不反映业务实际情况的静态阈值。

  • 仅当出现重大异常行为时查看事件,同时可靠地预测潜在问题
  • 检测传统静态阈值可能遗漏的事件
  • 无论来源如何,都能查明最关键的业务问题并确定其优先级,从而显著简化后续事件和影响管理工作

Uncover underlying evidence

Probable Cause Analysis

TrueSight Infrastructure uses machine learning to continuously correlate millions of data points collected from every monitored application component and automatically identifies a small number of potential causes. Applying intelligent filtering and leveraging service relationships further reduces the list and ranks them according to their likely contribution to the problem being diagnosed.

  • Automatically collect detailed diagnostic data across data sources to accelerate problem diagnosis
  • Get visibility into problems as they develop, allowing you to diagnose intermittent performance issues on-demand
  • Define custom diagnostics for KPIs and trigger actions to collect additional input and initiate automated workflows, such as checking for recent changes recorded in your change management system
  • Use probable cause analysis as a spring-board for further root cause analysis by launching directly into log analytics within the context of the event being explored

发现潜在证据

潜在原因分析

TrueSight Infrastructure 使用机器学习功能连续关联从每个受监控的应用程序组件收集的数百万个数据点,并自动识别少量潜在原因。应用智能筛选并利用服务关系可进一步缩小列表范围,并根据它们对被诊断问题可能造成的影响对它们进行排名。

  • 跨数据源自动收集详细的诊断数据,以便加速问题诊断
  • 深入了解问题的发展过程,使您可以按需诊断间歇性的性能问题
  • 为 KPI 定义自定义诊断并触发操作,以便收集附加输入并启动自动化工作流,例如检查您变更管理系统中记录的最新变更
  • 将可能的原因分析用作一个助推因素,在进行探讨的事件环境内部直接启动到日志分析中,从而进一步分析根本原因

Machine learning mines log data to reveal root cause

Log Analytics

TrueSight IT Data Analytics uses machine-assisted analysis for log data, metrics, events, changes, and incidents. You can automatically sift through millions of messages with a single click to solve problems faster.

  • Automate cross-domain collection and indexing of log and other machine data
  • Search for anomalous behavior and identify patterns and deviations with behavioral learning
  • Create proactive alerts when pattern deviations are detected

机器学习挖掘日志数据以揭露根本原因

日志分析

TrueSight IT Data Analytics 对日志数据、指标、更改和事件采用机器辅助分析。只需单击一下即可自动筛选数百万条消息,从而更快地解决问题。

  • 自动执行日志和其他计算机数据的跨域收集和索引
  • 通过行为学习搜索异常行为并识别模式和偏差
  • 在检测到模式偏差时创建主动警报

TrueSight Infrastructure Management 轻松入门