EUR/USD likely to find a peak near 1.25: UBS
NEW YORK - Datadog, Inc. (NASDAQ:DDOG), a technology company with a market capitalization of $41.3 billion and impressive gross profit margins of 80%, introduced its Internal Developer Portal (IDP) on Tuesday, a new product that integrates with the company’s application performance monitoring suite to provide developers with real-time system visibility and self-service capabilities.
The portal automatically maps services and dependencies while bringing together performance metrics, service ownership information and engineering knowledge in one location, according to a company press release. InvestingPro data shows Datadog maintaining strong financial health with revenue growth of 25.5% over the last twelve months, suggesting continued market momentum for its innovative solutions.
Datadog IDP includes three core components: a Software Catalog that provides a live system record of running software and performance metrics; Self-Service Actions with pre-approved templates for common tasks; and Scorecards that track compliance with organizational standards.
The product aims to help developers navigate complex requirements including code quality, testing, security scans, and compliance while reducing dependency on platform engineering teams.
"Datadog’s IDP brings together both observed and declared system states, as well as existing systems of record," said Michael Whetten, VP of Product at Datadog. "This combination shows not only developer intention but also what is actually in production."
Several companies including Apixio, Nexthink and Zilch are already using the product, according to the announcement.
The IDP release was unveiled during Datadog’s annual DASH conference, where the company also announced new offerings in AI Observability, Applied AI, AI Security and Log Management.
Datadog provides observability and security solutions for cloud applications through its SaaS platform, which integrates infrastructure monitoring, application performance monitoring, and other capabilities for technology stack management.
In other recent news, Datadog has introduced new log management features aimed at helping organizations optimize costs and meet data retention and security requirements. These features include Archive Search, Flex Frozen, and CloudPrem, which enhance data management and compliance capabilities. Additionally, Datadog’s shareholders have approved amendments to the company’s Certificate of Incorporation, which align with Delaware law to limit monetary liability for certain officers. The amendments were part of efforts to refine corporate governance, and new directors were elected to the board.
In another development, Datadog has announced the release of Toto, an AI model for observability, and BOOM, a benchmark for observability metrics. These projects are designed to improve anomaly detection and capacity planning. Furthermore, Datadog is progressing towards achieving FedRAMP High authorization, which will enhance its capabilities for U.S. federal agencies. Cantor Fitzgerald has maintained an Overweight rating on Datadog’s stock, citing the company’s leadership in the cloud observability space and projecting over 20% growth by 2025.
This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.