Key Takeaways CDW partnered with Asato to offer AI-powered IT asset intelligence to diverse customers. The move lets CDW deploy Asato's platform to reduce IT costs, waste and decision delays. Pilot clients saw gains like better asset visibility, less tech waste and smarter budgeting.CDW Corporation ((CDW) recently partnered with Asato Corporation, an AI-native business observability platform designed for CIOs, to deliver AI-powered IT asset intelligence to a broad spectrum of customers from large enterpri ...

Core Insights - Datadog has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms, marking the fifth consecutive year in this position [1][4] - The Gartner Magic Quadrant evaluates technology providers based on their ability to execute and completeness of vision in the application performance monitoring and observability market [2] Company Performance - Customer feedback highlights Datadog's product innovation and responsiveness, with users praising the platform's insights, user interface, and features such as APM and USM [3] - Datadog's Chief Product Officer emphasized the importance of product innovation and R&D, particularly in the context of AI integration to enhance applications and workflows [4] Industry Context - The observability market is characterized by high growth and distinct provider differentiation, with Datadog recognized for its strong execution and market positioning [2]

New York, New York--(Newsfile Corp. - July 9, 2025) -  Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, announced its inclusion on the S&P 500 Index, effective prior to the opening of trading today. The S&P 500 is widely regarded as the best single gauge of large-cap U.S. equities, tracking the stock performance of 500 leading US companies. Datadog's addition comes as it continues to innovate across its product portfolio in AI, observability, security, log manageme ...

Shares of Datadog (DDOG -4.84%) fell on Tuesday, down as much as 6.3%, before recovering slightly to a 4.1% decline as of 12:51 p.m. ET.Today's sell-off was caused by a negative analyst note, which posited Datadog's growth rate could take a big step down this year due to the loss of its largest customer, AI disruptor OpenAI, which is reportedly building its own observability software tools in-house. OpenAI may look to cut out DatadogSince the COVID-19 pandemic, Datadog has emerged as a disruptive winner in ...

OTTAWA, ONTARIO, CANADA - 2025/01/29: In this photo illustration, the Datadog logo is seen displayed ... More on a smartphone screen. (Photo Illustration by Thomas Fuller/SOPA Images/LightRocket via Getty Images)SOPA Images/LightRocket via Getty ImagesDatadog, (NASDAQ:DDOG), the cloud-scale application observability platform, has seen a notable increase in its stock price following the announcement of its inclusion in the S&P 500 index. This achievement marks an important turning point for the company, inte ...

作 者 | APAC Investment News 编译 | 华尔街大事件 Datadog（ NASDAQ： DDOG ）于6月举办了 DASH 2025 活动，重点介绍了其用于监控和保 护AI工作负载的技术 。分析师相信该公司将继续在AI能力方面进行投资，并重申"强力买入"评 级，其合理价值为每股145美元。 在 DASH 2025 大会上， Datadog 展示了其面向基础设施监控平台的全新 AI 功能，重点关注 AI 工作负载的观察、分析、响应和自动化。如下图所示，得益于与 OpenAI、Anthropic 和 ServiceNow 等主要 AI 和应用程序提供商的合作，Datadog 平台能够为所有 AI 代理提供全面 的可观察性。这些可观察性功能可使企业客户通过集中式界面监控其 AI 训练和相关的 AI 工作负 载。 此外，Datadog 平台还可以为 AI 基础设施提供 GPU 优化和故障排除功能。借助其 GPU 监控功 能，客户可以实时了解其 AI 集群的部署和性能。 6月10日， Datadog 发布了 其AI代理，这些代理可以进行事件响应、产品开发和安全方面的训 练。这些AI代理涵盖全天候 ...

The S&P 500 (^GSPC -0.03%) has almost fully recovered from its recent 19% drop, which was triggered by President Donald Trump's "Liberation Day" tariffs in April. But not every stock is following along -- in fact, many enterprise software stocks still haven't reclaimed their record highs from 2021.Datadog (DDOG 4.18%) and Workiva (WK -0.10%) are two of those stocks. They were incredibly overvalued when they peaked a few years ago, and they are still down by 36% and 57%, respectively, from those lofty levels ...

A bullish new analyst note was the news item rallying Datadog (DDOG 4.18%) stock on hump day. The stock ended the trading session more than 4% higher in price as a result, which looked especially good when placed against the S&P 500 index's marginal decline.Top of its classWednesday morning, Bank of America Securities pundit Koji Ikeda flagged Datadog as being the bank's top pick in the observability software segment. To emphasize this he raised his price target on the stock to $150 per share from his previ ...

Core Insights - Datadog has introduced new capabilities for monitoring agentic AI, including AI Agent Monitoring, LLM Experiments, and AI Agents Console, aimed at providing organizations with end-to-end visibility and governance over AI investments [1][4][8] Industry Context - The rise of generative AI and autonomous agents is changing software development, but many organizations struggle with visibility into AI system behaviors and their business value [2][3] - A study indicates that only 25% of AI initiatives are currently delivering promised ROI, highlighting the need for better accountability in AI investments [4] Company Developments - Datadog's new observability features allow companies to monitor agentic systems, run structured experiments, and evaluate usage patterns, facilitating quicker and safer deployment of LLM applications [3][4] - The AI Agent Monitoring tool provides an interactive graph mapping each agent's decision path, enabling engineers to identify issues like latency spikes and incorrect tool calls [4][6] - LLM Experiments enable testing of prompt changes and model swaps against real production data, allowing users to quantify improvements in response accuracy and throughput [6][7] - The AI Agents Console helps organizations maintain visibility into both in-house and third-party agent behaviors, measuring usage, impact, and compliance risks [7]

Core Insights - Datadog has expanded its AI security capabilities to address critical security risks in AI environments, enhancing protection from development to production [1][2][3] AI Security Landscape - The rise of AI has created new security challenges, necessitating a reevaluation of existing threat models due to the autonomous nature of AI workloads [2] - AI-native applications are more vulnerable to security risks, including prompt and code injection, due to their non-deterministic behavior [3] Securing AI Development - Datadog Code Security is now generally available, enabling teams to detect and prioritize vulnerabilities in custom code and open-source libraries, utilizing AI for remediation [5] - The integration with developer tools like IDEs and GitHub allows for seamless vulnerability remediation without disrupting development processes [5] Hardening AI Application Security - Organizations need stronger security controls for AI applications, including separation of privileges and data classification, to mitigate new types of attacks [6] - Datadog LLM Observability monitors AI model integrity and performs toxicity checks to identify harmful behaviors [7] Runtime Security Measures - The complexity of AI applications complicates the task of security analysts in identifying and responding to threats [9] - The Bits AI Security Analyst, integrated into Datadog Cloud SIEM, autonomously triages security signals and provides actionable recommendations [10] Continuous Monitoring and Protection - Datadog's Workload Protection continuously monitors interactions between LLMs and their host environments, with new isolation capabilities to block exploitation of vulnerabilities [11] - The Sensitive Data Scanner helps prevent sensitive data leaks during AI model training and inference [8] Recent Announcements - New security capabilities were announced during the DASH conference, including Code Security, Cloud Security tools, and enhancements in LLM Observability [12]