Datadog, Inc. Stock Price, News & Analysis

Datadog (NASDAQ: DDOG) has launched Datadog On-Call, a modern on-call experience integrating observability with paging and incident management. Aimed at DevOps, SRE, Security, and IT Operations teams, it offers enhanced context for faster issue resolution and improved collaboration. This solution addresses common challenges such as overwhelming alerts, disjointed paging strategies, and scheduling issues by unifying observability and paging into a single platform. Datadog On-Call integrates with third-party tools, clarifies team ownership, automates scheduling, and offers detailed performance analytics. Currently in beta, it seeks to minimize resolution times and improve team efficiency.

Datadog (NASDAQ: DDOG) announced a unified experience combining the Datadog Agent and OpenTelemetry Collector, enhancing observability and operational efficiency for customers. This new capability allows users to leverage Datadog's comprehensive platform while benefiting from OpenTelemetry's standards-based instrumentation. This integration enables quicker onboarding with existing configurations and remote management of collector fleets, supported by Datadog's global team. Datadog, a significant contributor to OpenTelemetry, aims to deliver improved interoperability, better data control, and enhanced technical support. Currently in beta, this unified experience promises enriched data handling and streamlined operations.

Datadog launched Data Jobs Monitoring to help data teams and engineers detect job failures and latency spikes in their data pipelines, focusing on Spark and Databricks jobs. This new product offers real-time alerts, detailed trace views, and resource optimization to enhance job reliability and reduce costs. Users can immediately identify and resolve problematic jobs, improving overall data quality and operational efficiency.

According to Matt Camilli from Rhythm Energy, the tool has enabled a 20% faster resolution of Databricks job failures. Michael Whetten, VP of Product at Datadog, emphasized the importance of visibility into expensive jobs to optimize pipelines and prioritize cost savings. Data Jobs Monitoring is now available for general use.

Datadog (NASDAQ: DDOG) has announced the general availability of App Builder, a low-code development tool designed to enhance the capabilities of DevSecOps teams. App Builder allows the creation of custom, secure, and scalable applications that can be integrated directly into monitoring stacks, facilitating faster issue remediation and improved incident response. The tool provides UI components, blueprints, and data integrations to streamline app development, reducing build time from weeks to hours. Users can leverage over 550 actions for key tools and platforms including GitHub, PagerDuty, and AWS, to take immediate actions such as blocking malicious IPs or re-running deployments. Companies like PayByPhone and NationBuilder are already utilizing App Builder to enhance their operations and incident management.

Datadog's State of Cloud Costs 2024 report reveals a 40% increase in spending on GPU instances as organizations explore AI and large language models (LLMs). GPUs, over 200% faster than CPUs, are critical for these AI workloads. Despite increased spending on cloud compute, 83% of container costs are wasted due to idle resources. Moreover, 83% of organizations still use outdated technologies, spending 17% of their EC2 budgets on them. Only 67% are utilizing cloud service discounts, down from 72% last year. Conversely, green technology adoption is up, with Arm-based instances now accounting for 18% of EC2 budgets, offering better performance and lower energy consumption.

Datadog, a leading monitoring and security platform for cloud applications, will be presenting at various upcoming investor conferences. The presentations are scheduled for May and June 2024 and will be webcast live with replays available.

Datadog, Inc. announced its first quarter 2024 financial results, showing a 27% year-over-year revenue growth to $611 million. The company reported strong growth in larger customers, with about 3,340 $100k+ ARR customers, up from about 2,910 a year ago. Datadog also announced the general availability of Bits AI for Incident Management, Event Management, Error Tracking for Logs, and Mobile App Testing. The company's GAAP operating income was $12 million with a 2% margin, while non-GAAP operating income was $164 million with a 27% margin. Datadog's first quarter ended with cash, cash equivalents, and marketable securities of $2.8 billion. The company shared second quarter and full-year 2024 outlooks, with revenue projections and non-GAAP net income per share estimates.

Datadog, Inc. (NASDAQ: DDOG) has launched IT Event Management to enhance its AIOps capabilities, reducing alert fatigue and helping teams remediate issues using AI-powered event correlation. The new capabilities consolidate, correlate, and enrich alert events and signals from Datadog and third-party observability tools, providing a unified view. This helps teams prioritize issues, identify service owners, and discover root causes efficiently, ultimately improving service availability in complex IT environments.

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