Author: Marketing User

  • 可觀測性中的 AI:更智慧、更快速、以情境 為驅動 隨

    Research 可觀測性中的 AI:更智慧、更快速、以情境為驅動 隨著多端雲環境變得越來越複雜,靜態規則已不敷使用,警示疲勞也隨之增加。可觀測性團隊在事件升級之前難以找到關鍵訊號。同時,數位需求持續攀升。 AI 正在改變可觀測性,從被動的深入見解轉為即時提供的行動準備情境。瞭解嵌入式智慧如何偵測風險、呈現相關情境,並加速解決問題,而不僅是依賴手動提示。 想要更聰明地進行疑難排解並擴展韌性嗎?下載《無需提示詞:可觀測性中的人工智慧如何變得更聰明》,瞭解 AI 輔助的疑難排解正在如何改變團隊偵測、診斷複雜系統的方式,並讓複雜系統變得更清晰。以下是預覽: 揭曉 AI 如何關聯 MELT 資料以便更快找出根本原因 瞭解從 ML 到 GenAI 和 Agentic AI 的演進過程 瞭解 AI 如何將警示歸類為清晰且可執⾏的事件 探索模型情境協定 (MCP),以獲取即時、環境特定的深入見解 瞭解人工智慧如何賦予新進和資深工程師自信回應的能力 立即下載

  • Beginner’s Guide to Digital Experience Monitoring (DEM)

    Research Beginner’s Guide to Digital Experience Monitoring (DEM) Digital Experience Monitoring (DEM) is crucial for any digital business to understand and optimize user experiences. By shifting the focus from systems to users, it turns technical performance into customer loyalty. In this e-book, you’ll discover how DEM: Unifies synthetic, real user, network, and business insights. Drives…

  • How to Prevent Data Downtime With Machine Learning

    Research How to Prevent Data Downtime With Machine Learning You know your data is valuable, and you know that unplanned downtime in any system is a bad thing. So you can imagine why data downtime — when your organization suffers a lost, disrupted or incomplete connection to its data — can be an especially vexing…

  • 5 Ways OpenTelemetry Advances Observability and Business Outcomes

    Research 5 Ways OpenTelemetry Advances Observability and Business Outcomes The advantages of OpenTelemetry extend well beyond the observability practice. It not only helps teams optimize their technical operations, but also significantly impacts core business outcomes. Inside, you’ll explore research-driven insights that demonstrate how OTel: Boosts revenue and positively impacts brand perception Fosters calm and precision…

  • IDC MarketScape: Worldwide Observability Platforms 2025 Vendor Assessment

    Research IDC MarketScape: Worldwide Observability Platforms 2025 Vendor Assessment Discover key insights from the 2025 IDC MarketScape report on worldwide observability platforms. Learn why Splunk was named a Leader in the report. Download the excerpt. Inside, you’ll learn: How observability platforms unify data for end-to-end visibility. Key strengths and challenges of Splunk. Trends in AI-driven…

  • GigaOm Radar for Application Performance Management (APM)

    Research GigaOm Radar for Application Performance Management (APM) Modern applications are increasingly complex, and APM solutions must evolve to meet these demands. The 2025 GigaOm Radar for Application Performance Management (APM) offers a comprehensive, vendor-neutral assessment of current leading APM solutions. Inside, you’ll learn: How APM solutions address the complexity of modern applications Top APM…

  • 3 Must-Haves for Managing Multicloud Complexity

    Research Data Management for Security Teams The sheer volume of data that SecOps teams need to see, organize, and make sense of is mind-boggling — and since global data creation is projected to grow to more than 394 zettabytes by 2028, it’s not a challenge that’s going away. Security practitioners need an effective data management…

  • Don’t Let Your Network Disappear: The Case for End-to-End Visibility

    Research Don’t Let Your Network Disappear: The Case for End-to-End Visibility In complex digital ecosystems, performance issues can hide in plain sight, costing your business productivity, revenue, and customer trust. Full end-to-end visibility, including the network, are essential for eliminating blind spots, reducing MTTR, and keeping your digital services running smoothly. In this e-book, you’ll…

  • 3 Must-Haves for Managing Multicloud Complexity

    Research 3 Must-Haves for Managing Multicloud Complexity Virtually all organizations today are already operating in a multicloud or hybrid cloud environment. However, the supporting systems that ensure success haven’t kept pace. Security, IT and DevOps teams are realizing that their previous approaches to monitoring and troubleshooting are not sufficient for the new, more complex cloud…

  • splunk sample

    Research Data Management for Security Teams The sheer volume of data that SecOps teams need to see, organize, and make sense of is mind-boggling — and since global data creation is projected to grow to more than 394 zettabytes by 2028, it’s not a challenge that’s going away. Security practitioners need an effective data management…