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Datadog Live Debugger Streamlines Troubleshooting and Bug Resolution With Live Production Data

Datadog Live Debugger Streamlines Troubleshooting and Bug Resolution With Live Production Data

使用實時生產數據,Datadog Live Debugger簡化了故障排除和錯誤解決流程。
Datadog ·  06/26 12:00

The product improves developer productivity by saving time needed to reproduce and troubleshoot production issues

該產品節省了開發人員複製和解決生產問題所需的時間,提高了開發人員的工作效率。

NEW YORK, June 26, 2024 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced the launch of Live Debugger, a new tool that enables developers to step through code in production environments and find the exact root cause of coding errors. Live Debugger requires no downtime and enables developers to work directly in production environments instead of spending countless hours of trial and error to reproduce production issues in development environments.

2024年6月26日,紐約 / PRNewswire / -- Datadog納斯達克股票代碼爲DDOG的監控和安全雲應用程序平台datadog,今天宣佈推出Live Debugger新工具,使開發人員能夠在生產環境中逐步查找錯誤的確切根源。Live Debugger無需停機時間,使開發人員能夠直接在生產環境中工作,而無需在開發環境中試錯數小時以重現生產問題。

Traditional debugging techniques require significant time and manual effort. Developers are tasked with setting up breakpoints throughout their code base, combing through unfamiliar code and documentation written by others, and trying to reproduce the exact same production issue with the exact same conditions in their local environment.

傳統的調試技術需要大量的時間和手動努力。開發人員的任務是在其代碼庫中設置斷點,瀏覽他人編寫的不熟悉的代碼和文檔,並嘗試使用本地環境重現完全相同的生產問題。Live Debugger通過聚合來自實時生產環境的必要信息並將其直接整合到用戶的集成開發環境(IDE)中,極大地簡化了這個過程。該產品使用人工智能生成異常摘要和一鍵測試創建來加快根本原因分析,以根據生產數據準確地複製所有錯誤條件。使用Live Debugger不僅可以提高開發體驗,還可以大幅縮短解決問題所需的時間,使工程師有更多時間提供業務價值。

Live Debugger greatly simplifies this process by aggregating the necessary information from the live production environment and integrating it directly into the user's Integrated Development Environment (IDE). The product accelerates root-cause analysis with AI-generated exception summaries and one-click test creation to accurately reproduce all bug conditions based on production data. Using Live Debugger not only improves the developer experience, it also dramatically reduces the time it takes to resolve issues, freeing up engineers to spend more time delivering business value.

Datadog的產品主管Hugo Kaczmarek表示:“調試可能是一個緩慢而低效的過程,需要進行廣泛的手動數據收集和能夠在完全重建的條件下重現錯誤的能力。這些限制對開發人員的生產力和最終用戶體驗產生負面影響。通過今天的推出,我們消除了調試中的猜測工作,最大限度地減少了開發人員遇到的摩擦,並創建了一種本質上支持快速解決問題同時保持最高代碼質量和安全性標準的工具。”

"Debugging can be a slow and inefficient process which requires extensive manual data collection and the ability to reproduce bugs in perfectly reconstructed conditions. These constraints negatively impact developer productivity and, ultimately, the end user experience," said Hugo Kaczmarek, Director of Product at Datadog. "With today's launch, we are taking the guesswork out of debugging, minimizing the friction experienced by developers and creating a tool that inherently supports rapid issue resolution while maintaining the highest standards of code quality and security."

"調試可能是一個緩慢而低效的過程,需要進行廣泛的手動數據收集和能夠在完全重建的條件下重現錯誤的能力。這些限制對開發人員的生產力和最終用戶體驗產生負面影響,"Datadog的董事Hugo Kaczmarek表示。"通過今天的推出,我們消除了調試中的猜測工作,最大限度地減少了開發人員遇到的摩擦,並創建了一種本質上支持快速解決問題同時保持最高代碼質量和安全性標準的工具。"

Features of Live Debugger include:

Live Debugger的功能包括:

  • Exception Replay: Developers can step through the execution flow of their code and see local variable values that were captured live when the exception was thrown—all without needing to run code.
  • Powerful Visualizations and Context: Datadog's unified platform delivers the observability context needed to troubleshoot issues quickly and provides an AI-powered summary of the code's executional context, a starting hypothesis for the root cause of the issue, and visualizations of data flows between services and where the interaction between them occurred in the code.
  • Integrated AI-Generated Tests: Teams can quickly and accurately reproduce issues by using production data to mock all relevant values across dependent microservices. Tests can then be run directly in the customer's IDE with just one click.
  • 異常回放: 開發人員可以逐步查看其代碼的執行流程,並查看在拋出異常時捕獲的本地變量值,而無需運行代碼。
  • 強大的可視化和上下文: Datadog的統一平台提供了用於快速排除故障所需的可觀察性上下文,並提供了代碼執行上下文的人工智能摘要、根本原因的起始假設以及數據流在服務之間以及發生交互的代碼中的可視化。
  • 集成的人工智能生成測試: 團隊可以使用生產數據模擬所有相關微服務中的所有相關值,快速準確地重現問題。然後可以直接在客戶的IDE中運行測試,只需單擊一下。

Live Debugger is available in beta now. To learn more, please visit: www.datadoghq.com/blog/dash-2024-new-feature-roundup-keynote.

Live Debugger現已在測試版中推出。欲了解更多信息,請訪問: www.datadoghq.com/blog/dash-2024-new-feature-roundup-keynote www.datadoghq.com/blog/dash-2024-new-feature-roundup-keynote .

About Datadog

關於Datadog

Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

Datadog是面向雲應用的可觀測性和安全性平台。我們的SaaS平台集成和自動化基礎設施監控,應用程序性能監控,日誌管理,用戶體驗監控,雲安全和許多其他功能,爲我們的客戶的整個技術棧提供統一的實時可觀測性和安全性。 Datadog被各種規模的組織和多個行業使用,以實現數字轉型和雲遷移,在開發,運營,安全和業務團隊之間促進合作,在應用程序上市時間上加快速度,減少故障解決時間,並確保應用程序和基礎架構的安全,了解用戶行爲並跟蹤關鍵業務指標。

Forward-Looking Statements

前瞻性聲明

This press release may include certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption "Risk Factors" and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on November 7, 2023, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

本新聞稿可能包括某些根據1933年修訂版的《證券法》或《證券法》第27A條以及1934年修訂版的《證券交易法》或《證券交易法》第21E條的“前瞻性聲明”,包括有關新產品和功能的好處的聲明。這些前瞻性聲明反映了我們針對我們的計劃,意圖,期望,策略和前景的當前觀點,這些觀點基於我們目前擁有的信息和我們所做的假設。實際結果可能與前瞻性聲明中描述的結果有所不同,並且受到一系列假設,不確定性,風險和因素的影響,這些因素超出了我們的控制範圍,包括在我們的證券交易委員會文件和報告中的“風險因素”和其他地方所詳細描述的風險,包括在2023年11月7日向證券交易委員會提交的《第10-Q表格季度報告》以及我們今後提交的文件和報告。除法律要求外,我們不承擔更新本發佈中包含的任何前瞻性聲明的責任或義務,也不承擔因新信息,未來事件,期望變化或其他原因導致的責任或義務。

Contact
Dan Haggerty
press@datadoghq.com

聯繫人
丹·哈格蒂
press@datadoghq.com

SOURCE Datadog, Inc.

資料來源:Datadog,Inc。

譯文內容由第三人軟體翻譯。


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