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Datadog Introduces Kubernetes Active Remediation to Provide Curated Guidance and End-to-End Management of Kubernetes Environments

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Datadog (NASDAQ: DDOG) has launched Kubernetes Active Remediation, enhancing its automated troubleshooting capabilities for Kubernetes environments. The new feature provides curated remediation guidance, best practices, and end-to-end issue management. It offers a comprehensive overview of cluster-level resource problems, ranked by importance, along with consolidated troubleshooting information and root cause analysis.

The platform enables teams to directly trigger deployment patches for key issues within Datadog's unified platform, automating root-cause analysis and detection while improving troubleshooting speed. The solution is designed to help organizations overcome the challenges of Kubernetes expertise and resource-intensive diagnostics.

Datadog (NASDAQ: DDOG) ha lanciato Kubernetes Active Remediation, potenziando le sue capacità di risoluzione automatizzata dei problemi per gli ambienti Kubernetes. La nuova funzionalità fornisce indicazioni curate per la risoluzione, best practices e gestione completa dei problemi. Offre una panoramica globale dei problemi delle risorse a livello di cluster, classificati per importanza, insieme a informazioni consolidate per la risoluzione dei problemi e analisi delle cause principali.

La piattaforma consente ai team di attivare direttamente patch di distribuzione per questioni chiave all'interno della piattaforma unificata di Datadog, automatizzando l'analisi delle cause principali e la rilevazione, migliorando al contempo la velocità di risoluzione dei problemi. La soluzione è progettata per aiutare le organizzazioni a superare le sfide legate alla competenza in Kubernetes e ai diagnostici ad alta intensità di risorse.

Datadog (NASDAQ: DDOG) ha lanzado Kubernetes Active Remediation, mejorando sus capacidades de solución automática de problemas para entornos de Kubernetes. La nueva función proporciona orientación de remediación curada, mejores prácticas y gestión integral de problemas. Ofrece una visión completa de los problemas de recursos a nivel de clúster, clasificados por importancia, junto con información consolidada para la resolución de problemas y análisis de causas raíz.

La plataforma permite a los equipos activar directamente parches de implementación para problemas clave dentro de la plataforma unificada de Datadog, automatizando el análisis de causas raíz y la detección mientras mejora la velocidad de resolución de problemas. La solución está diseñada para ayudar a las organizaciones a superar los desafíos relacionados con la experiencia en Kubernetes y diagnósticos que requieren muchos recursos.

Datadog (NASDAQ: DDOG)Kubernetes Active Remediation을 출시하여 Kubernetes 환경을 위한 자동 문제 해결 기능을 강화했습니다. 이 새로운 기능은 선별된 해결 안내, 모범 사례 및 종합적인 문제 관리 기능을 제공합니다. 클러스터 수준의 리소스 문제를 중요도에 따라 분류하여 포괄적으로 개요를 제공하며, 통합된 문제 해결 정보 및 근본 원인 분석도 포함됩니다.

이 플랫폼은 팀이 Datadog의 통합 플랫폼 내에서 주요 문제에 대해 배포 패치를 직접 트리거할 수 있게 하여, 근본 원인 분석 및 탐지를 자동화하고 문제 해결 속도를 향상시키는 데 기여합니다. 이 솔루션은 조직이 Kubernetes 전문성과 리소스를 많이 소모하는 진단의 과제를 극복하도록 돕기 위해 설계되었습니다.

Datadog (NASDAQ: DDOG) a lancé Kubernetes Active Remediation, renforçant ses capacités de dépannage automatisé pour les environnements Kubernetes. La nouvelle fonctionnalité fournit des conseils de remédiation, des meilleures pratiques et une gestion intégrale des problèmes. Elle offre un aperçu complet des problèmes de ressources au niveau du cluster, classés par importance, ainsi que des informations consolidées sur le dépannage et l'analyse des causes profondes.

La plateforme permet aux équipes de déclencher directement des correctifs de déploiement pour des problèmes clés au sein de la plateforme unifiée de Datadog, automatisant l'analyse des causes profondes et la détection tout en améliorant la vitesse de dépannage. La solution est conçue pour aider les organisations à surmonter les défis liés à l'expertise Kubernetes et aux diagnostics gourmands en ressources.

Datadog (NASDAQ: DDOG) hat Kubernetes Active Remediation eingeführt, um seine automatisierten Fehlersuchefähigkeiten für Kubernetes-Umgebungen zu verbessern. Das neue Feature bietet kuratierte Anleitung zur Behebung, bewährte Praktiken und eine umfassende Problemverwaltung. Es bietet einen umfassenden Überblick über clusterweite Ressourcenprobleme, die nach Wichtigkeit eingestuft sind, sowie konsolidierte Informationen zur Fehlersuche und Ursachenanalyse.

Die Plattform ermöglicht es Teams, direkt im Rahmen der einheitlichen Plattform von Datadog Bereitstellungspatches für wichtige Probleme auszulösen, wodurch die Ursachenanalyse und -erkennung automatisiert und die Geschwindigkeit der Fehlersuche verbessert wird. Die Lösung wurde entwickelt, um Organisationen dabei zu helfen, die Herausforderungen im Zusammenhang mit Kubernetes-Fachwissen und ressourcenintensiven Diagnosen zu bewältigen.

Positive
  • Introduction of new Kubernetes management feature expanding product capabilities
  • Enhanced automation of troubleshooting processes reducing operational overhead
  • Direct integration of remediation actions within the platform improving efficiency
Negative
  • None.

Insights

This product launch represents a significant enhancement to Datadog's Kubernetes management capabilities, addressing critical pain points in cloud infrastructure monitoring. The new Active Remediation feature introduces automated troubleshooting and guided remediation, which could substantially reduce Mean Time To Resolution (MTTR) for Kubernetes issues.

The platform's ability to provide automated root-cause analysis and pre-approved remediation actions positions Datadog to capture more market share in the competitive cloud monitoring space. This development is particularly valuable as organizations struggle with Kubernetes complexity and shortage of expertise. The integration of detection, analysis and remediation in a single workflow could drive increased platform adoption and potentially higher revenue per customer through expanded usage.

Kubernetes Active Remediation empowers users to detect issues, gain contextualized insights and make changes to repair Kubernetes environments—all within one integrated workflow

NEW YORK, Nov. 12, 2024 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced the launch of Kubernetes Active Remediation, which builds on Datadog's automated troubleshooting capabilities to provide curated remediation guidance, best practices and end-to-end issue management for Kubernetes organizations.

Traditional monitoring tools track health and performance based on metrics, but teams need deeper insights and guidance to navigate the complexities of Kubernetes environments. Teams are also often slowed down by the limited availability of their organization's internal Kubernetes experts. Without actionable recommendations, diagnosing the root cause of issues can be time consuming and resource intensive, leading to prolonged downtime and decreased operational efficiency.

Kubernetes Active Remediation offers the deeper insights at scale that teams need by providing a comprehensive overview of cluster-level resource problems ranked by their importance and relevance. After a problematic cluster or workload has been identified, teams can view consolidated troubleshooting information, including root cause analysis and recommended fixes. They can then directly trigger deployment patches for the key issues from within the Datadog platform.

"Today's announcement builds on our launch of Kubernetes Autoscaling at DASH to empower users to detect issues, gain contextual insights and make changes to their Kubernetes resources directly from Datadog's unified platform," said Yrieix Garnier, VP of Product at Datadog. "Customers are looking for help to identify an issue, curate data about it and take steps to solve it. Kubernetes Active Remediation will help customers do just that so they can resolve issues faster."

Kubernetes Active Remediation helps organizations:

  • Automate root-cause analysis and detection: Recommendations are automatically issued with full contextual data and triaged to the correct owner. Curated remediation actions can also be pre-approved by the DevOps or security teams to automate the process downstream.
  • Directly repair Kubernetes environments: Explanations and suggestions are provided based on troubleshooting patterns that are commonly seen in Kubernetes environments. Once the user has the full context and recommended next steps, they can directly trigger deployment patches from within Datadog to remediate the issue.
  • Improve troubleshooting and remediation speed: By accelerating a user's time to detect and resolve an issue, Datadog helps application development teams be more efficient, understand root causes and automate their remediation processes.

Kubernetes Active Remediation is now in preview. To learn more, please visit: https://www.datadoghq.com/blog/datadog-kubernetes-active-remediation.

About 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.

Forward-Looking Statements

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 May 8, 2024, 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.

Contact
Dan Haggerty
press@datadoghq.com

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SOURCE Datadog, Inc.

FAQ

What is Datadog's Kubernetes Active Remediation feature?

Kubernetes Active Remediation is Datadog's new feature that provides automated troubleshooting, curated remediation guidance, and end-to-end issue management for Kubernetes environments, allowing teams to detect issues and implement fixes directly from the Datadog platform.

When will DDOG's Kubernetes Active Remediation be available?

Datadog's Kubernetes Active Remediation is currently in preview phase, as announced in November 2024.

What problems does DDOG's Kubernetes Active Remediation solve?

It addresses the challenges of Kubernetes expertise in organizations, reduces time-consuming diagnostics, and improves operational efficiency by providing automated root-cause analysis, contextual insights, and direct remediation capabilities.

Datadog, Inc.

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