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市场调查报告书
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1798105

云端原生应用程式监控平台市场（2025年）：Frost Radar

Frost Radar: Cloud-Native Application Monitoring Platforms, 2025
出版日期: | 出版商: Frost & Sullivan | 英文 23 Pages | 商品交期: 最快1-2个工作天内

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简介目录

推动公司采取行动的基准化分析系统－推动新交易流程和成长管道的创新

随着容器和 Kubernetes 的兴起，云端原生应用已成为许多业务营运的基石。虽然它们能够快速应用开发，但它们在几秒钟内即可扩展和缩减的能力超出了传统监控工具所针对的静态、单片应用程式的范畴，导致组织存在严重的可见性差距和盲点。

云端原生应用程式监控平台为组织提供在云端原生环境中建置和部署的应用程式的深入可见性，透过收集、处理和分析远端检测资料（例如指标、日誌、追踪和警报）来检查云端原生堆迭各层的效能，以确保应用程式的效能、可靠性和安全性。

儘管云端原生应用监控平台市场正在成长，但这些技术很少被孤立看待；相反，它们被视为更广泛的可观察性平台的一部分，该平台提供从基础设施到网路层、再到应用效能和用户体验的深度可视性。这是因为该领域的快速创新正在扩大监控的范围，「可观察性」已成为描述在更广泛的多重云端和混合环境中进行监控任务的首选术语。

这份 Frost Radar 分析报告基于 10 项成长和创新标准对九家云端原生应用监控平台供应商进行了基准测试，以揭示其在 Frost Radar™ 上的排名。报告提供了 Frost Radar™ 上每家公司的竞争概况，分析了它们的优势以及与之最契合的机会。

成长环境

  • 自动化应用开发生命週期使用 CI/CD 管道来确保应用程式可用、有弹性、自动化、扩充性且可管理。
  • 根据 CNCF 的一项调查，使用云端原生应用程式面临的最常见挑战是开发团队文化变革、CI/CD、缺乏培训、安全性和监控。
  • 随着 K8s 和微服务将应用程式堆迭碎片化，监控变得更具挑战性。云端原生应用程式服务通常会快速启动和关闭，甚至在全面且特定于工具的监控流程完成之前。许多企业会跨不同的云端服务供应商（例如 Amazon Web Services (AWS)、Microsoft Azure 和 Google Cloud Platform (GCP)）部署云端原生应用程序，以最大限度地利用各自提供的优势并降低供应商锁定的可能性。
  • 无法自动收集和关联远端检测资料（指标、日誌、追踪、警报和其他资料），且缺乏对云端原生环境的统一视图，会严重影响组织快速识别、侦测和回应效能和安全问题的能力。如果没有这种可视性，组织将被迫手动筛选大量远端检测数据，从而增加应用程式停机时间，并导致效能和使用者体验不佳。在当今客户需求不断变化且品牌忠诚度较低的环境中，糟糕的用户体验可能会导致客户流失。
  • 云端原生应用程式监控平台不仅可以检查云端原生堆迭各层（包括云端基础架构、工作负载和应用程式）的效能，还可以透过收集、处理和分析遥测资料来调查应用层级问题（例如错误和延迟），以确保应用程式的效能、可靠性和安全性。

成长环境

  • 云端原生应用程式监控平台监控与管理：
  • 云端运算、储存和网路效能及其他活动、主机和 CPU 使用率、作业系统、服务和其他资源以及使用者互动和存取模式。
  • 容器化工作负载及其效能、K8s 丛集和编配层以及微服务间通讯和依赖关係。
  • 库程式码执行和效能、端到端应用程式工作流程和依赖关係、回应时间、错误率和吞吐量的关键效能指标。
  • 虽然这些功能构成了云端原生应用监控平台的核心，但快速的数位转型使许多组织的IT环境日益复杂，突破了「监控」的界限。现在，在更广泛的多重云端和混合环境中进行监控任务的首选术语是「可观察性」。
  • 这种转变意味着，云端原生应用监控平台很少能独立运行，而是成为更广泛的可观察性平台的组成部分，这些平台能够提供涵盖整个环境的全面可视性，涵盖从基础设施和网路层到应用效能和用户体验的各个方面。可观察性平台不仅可以收集和视觉化数据，还能关联不同堆迭之间的远端检测数据，识别异常和可疑行为，并提供切实可行的洞察，从而更主动地提升组织降低风险的能力。

策略要务与成长环境

  • 北美组织历来是新技术（包括云端处理）的早期采用者，也是与监控云端原生应用程式相关的营运挑战的早期采用者。
  • 欧洲、中东和非洲 (EMEA) 地区的企业也积极拥抱云端原生技术，容器和 K8s 的使用正在迅速扩展，云端原生应用程式监控平台也变得至关重要。该地区的战争和其他地缘政治紧张局势导致许多企业削减支出，专注于维持现金流，以应对经济不确定性。
  • 新加坡和澳洲等数位化程度较高的亚太国家的组织在采用云端原生应用监控平台方面处于领先地位，但不利的外汇和预算限制可能会阻碍采用。
  • 多种因素可能会限制对拉丁美洲的投资，包括云端运算成熟度低、云端运算人才有限以及成本敏感度。
  • 与此原始分析相关的研究：
  • 云端原生应用程式监控平台的成长机会，2024-2029」（PFT3-74，即将出版）。

目录

策略要务与成长环境

Frost Radar：云端原生应用程式监控平台

Frost RadarTM：活跃公司

  • Chronosphere
  • Datadog
  • Dynatrace
  • Elastic
  • Grafana Labs
  • Honeycomb
  • ManageEngine
  • New Relic
  • SolarWinds

最佳实践和成长机会

Frost Radar™ 分析

后续步骤：利用 Frost Radar™ 赋予关键相关人员

  • 加入 Frost Radar™ 的重要性
  • 执行长成长团队
  • 投资者
  • 顾客
  • 董事会

后续步骤Next steps

免责声明

简介目录
Product Code: PFT2-74

A Benchmarking System to Spark Companies to Action - Innovation That Fuels New Deal Flow and Growth Pipelines

The widespread adoption of containers and Kubernetes has made cloud-native applications the cornerstone of many business operations. While they enable rapid application development and delivery, their nature to scale up and disappear in seconds is beyond the static, monolithic applications that traditional monitoring tools were built for. This creates significant visibility gaps and blind spots for organizations.

Cloud-native application monitoring platforms provide organizations with in-depth visibility of applications built and deployed in cloud-native environments and examine the performance across layers of the cloud-native stacks by collecting, processing, and analyzing telemetry data, such as metrics, logs, traces, and alerts, to ensure application performance, reliability, and security.

The cloud-native application monitoring platform market is growing, but the technology rarely stands on its own; rather, it is considered as part of a broader observability platform that provides in-depth visibility from infrastructure to network layers to application performance to user experience. This is because the rapid innovation in this space has expanded the scope of monitoring and resulted in "observability" becoming the preferred term to describe the task of monitoring across a broader, multicloud, hybrid environment.

Frost & Sullivan in this Frost Radar analysis benchmarks nine cloud-native application monitoring platform providers across 10 Growth and Innovation criteria to reveal their position on the Frost Radar™. The publication presents competitive profiles of each company on the Frost Radar™, considering their strengths and the opportunities that best fit those strengths.

Growth Environment

  • The automated application development lifecycle uses CI/CD pipelines to ensure that applications are available, resilient, automatable, scalable, and manageable.
  • The CNCF survey found that the most common challenges related to the use of cloud-native applications are culture changes in the development team, CI/CD, lack of training, security, and monitoring.
  • Monitoring becomes more challenging as K8s and microservices fragment the application stack, which is radically different than what most organizations are used to with traditional applications that consist of a single, large codebase. Services in cloud-native applications are often spun up and down rapidly-sometimes even before a comprehensive monitoring process from traditional tools is completed. Many organizations deploy their cloud-native applications across different cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) to maximize the benefits that each offers and reduce the possibility of vendor lock-in.
  • Failure to automatically collect and correlate telemetry data, such as metrics, logs, traces, and alerts, or have a unified view of the entire cloud-native landscape will significantly affect an organization's ability to identify, detect, and respond to performance and security issues quickly. Without this visibility, organizations must manually sieve through the massive volume of telemetry data, increasing application downtime, causing performance degradation and derailing user experience. In today's environment, where customers' demands are constantly evolving and there is little brand loyalty, a poor user experience can lead to the loss of a customer.
  • A cloud-native application monitoring platform examines performance across layers of the cloud-native stacks, including cloud infrastructure, workloads, and applications, as well as application-level issues such as errors and latency by collecting, processing, and analyzing telemetry data to ensure application performance, reliability, and security.

Growth Environment

  • A cloud-native application monitoring platform monitors and manages:
  • Cloud compute, storage, and network performance and activities; host and CPU utilization; operating systems, services, and other resources; and user interactions and access patterns.
  • Containerized workloads and their performance, K8s clusters and orchestration layers, and communication and dependencies between microservices.
  • Code execution and performance of libraries, end-to-end application workflows and dependencies, and key performance indicators related to response times, error rates, and throughput.
  • While these functionalities have shaped the core of a cloud-native application monitoring platform, rapid digital transformation has made many organizations' IT environments increasingly complex and pushed the boundaries of "monitoring" capabilities. "Observability" is now the preferred term to describe the task of monitoring across broader multicloud, hybrid environments.
  • This shift means a cloud-native application monitoring platform now rarely stands on its own but rather is a component of a broader observability platform that provides comprehensive visibility across the entire environment, from infrastructure and network layers to application performance and user experience. From this, the observability platform not only collects and visualizes data but also correlates telemetry data across different stack, identifies anomalies and suspicious behavior, and provides actionable insights that can enhance an organization's ability to be more proactive in risk mitigation.

Strategic Imperative and Growth Environment

  • Organizations in North America historically have been early adopters of emerging technologies. This is true of cloud computing, so they were among the first to confront the operational challenges related to monitoring cloud-native applications.
  • Organizations in Europe, the Middle East, and Africa (EMEA) are also embracing cloud-native technologies, which has led to the rapid growth of containers and K8s usage and made cloud-native application monitoring platforms a necessity. Wars and other geopolitical tensions in the region have prompted many to pull back on spending and focus more on maintaining a positive cash flow to weather the economic uncertainty.
  • Organizations in more digitally mature Asia-Pacific (APAC) countries, such as Singapore and Australia, are leading the charge in adopting cloud-native application monitoring platforms because they are further along on their digital transformation journeys than counterparts in Indonesia and the Philippines, for example, that have probably either just started or are in the middle of their journeys. However, unfavorable exchange rates and budgetary constraints might restrain adoption.
  • In Latin America, a combination of factors, including the region's low cloud maturity level, dearth of specialized cloud talent, and cost sensitivity, will limit investments.
  • A Frost & Sullivan study related to this independent analysis:
  • Growth Opportunities in Cloud-Native Application Monitoring Platforms, 2024-2029 (PFT3-74; soon to be published).

Table of Contents

Strategic Imperative and Growth Environment

Frost Radar: Cloud-Native Application Monitoring Platforms

Frost RadarTM: Companies to Action

  • Chronosphere
  • Datadog
  • Dynatrace
  • Elastic
  • Grafana Labs
  • Honeycomb
  • ManageEngine
  • New Relic
  • SolarWinds

Best Practices & Growth Opportunities

Frost RadarTM Analytics

Next Steps: Leveraging the Frost RadarTM to Empower Key Stakeholders

  • Significance of Being on the Frost RadarTM
  • CEO's Growth Team
  • Investors
  • Customers
  • Board of Directors

Next Steps

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