雲端原生應用程式監控平台市場（2025年）：Frost Radar

Frost Radar: Cloud-Native Application Monitoring Platforms, 2025

出版日期: 2025年07月31日 | 出版商:

Frost & Sullivan | 英文 23 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

推動公司採取行動的基準化分析系統 - 推動新交易流程和成長管道的創新

隨著容器和 Kubernetes 的興起，雲端原生應用已成為許多業務營運的基石。雖然它們能夠快速應用開發，但它們在幾秒鐘內即可擴展和縮減的能力超出了傳統監控工具所針對的靜態、單片應用程式的範疇，導致組織存在嚴重的可見性差距和盲點。

雲端原生應用程式監控平台為組織提供在雲端原生環境中建置和部署的應用程式的深入可見性，透過收集、處理和分析遠端檢測資料（例如指標、日誌、追蹤和警報）來檢查雲端原生堆疊各層的效能，以確保應用程式的效能、可靠性和安全性。

儘管雲端原生應用監控平台市場成長，但這些技術很少被孤立看待；相反，它們被視為更廣泛的可觀察性平台的一部分，該平台提供從基礎設施到網路層、再到應用效能和用戶體驗的深度可視性。這是因為該領域的快速創新擴大監控的範圍，「可觀察性」已成為描述在更廣泛的多重雲端和混合環境中進行監控任務的首選術語。

這份 Frost Radar 分析報告基於 10 項成長和創新標準對九家雲端原生應用監控平台供應商進行了基準測試，以揭示其在 Frost Radar™ 上的排名。報告提供了 Frost Radar™ 上每家公司的競爭概況，分析了它們的優勢以及與之最契合的機會。

成長環境

自動化應用開發生命週期使用 CI/CD 管道來確保應用程式可用、有彈性、自動化、擴充性且可管理。
根據 CNCF 的一項調查，使用雲端原生應用程式面臨的最常見挑戰是開發團隊文化變革、CI/CD、缺乏培訓、安全性和監控。
隨著 K8s 和微服務將應用程式堆疊碎片化，監控變得更具挑戰性。雲端原生應用程式服務通常會快速啟動和關閉，甚至在全面且特定於工具的監控流程完成之前。許多企業會跨不同的雲端服務供應商（例如 Amazon Web Services（AWS）、Microsoft Azure 和 Google Cloud Platform（GCP））部署雲端原生應用程式，以最大限度地利用各自提供的優勢並降低供應商鎖定的可能性。
無法自動收集和關聯遠端檢測資料（指標、日誌、追蹤、警報和其他資料），且缺乏對雲端原生環境的統一視圖，會嚴重影響組織快速識別、偵測和回應效能和安全問題的能力。如果沒有這種可視性，組織將被迫手動篩選大量遠端檢測資料，增加應用程式停機時間，並導致效能和使用者體驗不佳。在當今客戶需求不斷變化且品牌忠誠度較低的環境中，糟糕的用戶體驗可能會導致客戶流失。
雲端原生應用程式監控平台不僅可以檢查雲端原生堆疊各層（包括雲端基礎架構、工作負載和應用程式）的效能，還可以透過收集、處理和分析遙測資料來調查應用層級問題（例如錯誤和延遲），以確保應用程式的效能、可靠性和安全性。

成長環境

雲端原生應用程式監控平台監控與管理：
雲端運算、儲存和網路效能及其他活動、主機和 CPU 使用率、作業系統、服務和其他資源以及使用者互動和存取模式。
容器化工作負載及其效能、K8s 叢集和編配層以及微服務間通訊和依賴關係。
函式庫程式碼執行和效能、端到端應用程式工作流程和依賴關係、回應時間、錯誤率和吞吐量的關鍵效能指標。
雖然這些功能構成了雲端原生應用監控平台的核心，但快速的數位轉型使許多組織的IT環境日益複雜，突破了「監控」的界限。現在，在更廣泛的多重雲端和混合環境中進行監控任務的首選術語是「可觀察性」。
這種轉變意味著，雲端原生應用監控平台很少能獨立運行，而是成為更廣泛的可觀察性平台的組成部分，這些平台能夠提供涵蓋整個環境的全面可視性，涵蓋從基礎設施和網路層到應用效能和用戶體驗的各個方面。可觀察性平台不僅可以收集和視覺化資料，還能關聯不同堆疊之間的遠端檢測資料，識別異常和可疑行為，並提供切實可行的洞察，更主動地提升組織降低風險的能力。

策略要務與成長環境

北美組織歷來是新技術（包括雲端處理）的早期採用者，也是與監控雲端原生應用程式相關的營運挑戰的早期採用者。
歐洲、中東和非洲（EMEA）地區的企業也積極擁抱雲端原生技術，容器和 K8s 的使用迅速擴展，雲端原生應用程式監控平台也變得非常重要。該地區的戰爭和其他地緣政治緊張局勢導致許多企業削減支出，致力於維持現金流，以應對經濟不確定性。
新加坡和澳洲等數位化程度較高的亞太國家的組織在採用雲端原生應用監控平台方面處於領先地位，但不利的外匯和預算限制可能會阻礙採用。
多種因素可能會限制對拉丁美洲的投資，包括雲端運算成熟度低、雲端運算人才有限以及成本敏感度。
與此原始分析相關的研究：
雲端原生應用程式監控平台的成長機會，2024-2029」（PFT3-74，即將出版）。

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).