Welcome to our dedicated page for Datadog news (Ticker: DDOG), a resource for investors and traders seeking the latest updates and insights on Datadog stock.
Datadog, Inc. (DDOG) delivers cloud-native monitoring and security solutions for modern enterprises. This dedicated news hub provides investors and technology professionals with timely updates on corporate developments, product innovations, and market positioning.
Track all essential announcements through curated press releases and verified news coverage. Key updates include earnings reports, platform enhancements, strategic partnerships, and leadership changes. Our aggregation ensures you never miss critical developments affecting Datadog's observability leadership or SaaS market strategy.
Discover categorized updates spanning infrastructure monitoring advancements, security platform expansions, and enterprise adoption trends. The repository serves as your primary source for analyzing Datadog's growth in cloud optimization and digital transformation initiatives.
Bookmark this page for streamlined access to machine-readable financial disclosures, technology partnership announcements, and industry recognition updates. Return regularly to maintain competitive awareness in the evolving cloud monitoring landscape.
Datadog's State of Cloud Security 2024 report reveals significant security risks associated with long-lived credentials across major cloud providers. Key findings include:
- 46% of organizations use unmanaged users with long-lived credentials
- 62% of Google Cloud service accounts, 60% of AWS IAM users, and 46% of Microsoft Entra ID applications have access keys older than one year
- 79% of S3 buckets are covered by Public Access Block, up from 73% last year
- 18% of AWS EC2 instances and 33% of Google Cloud VMs have sensitive project permissions
- 10% of third-party integrations have risky cloud permissions
The report emphasizes the need for modern authentication mechanisms, short-lived credentials, and active monitoring of APIs to enhance cloud security.
Datadog (NASDAQ:DDOG), a cloud application monitoring and security platform provider, has announced its upcoming third quarter fiscal year 2024 earnings call. The company will release its financial results before U.S. markets open on Thursday, November 7, 2024. A conference call is scheduled for the same day at 8:00 a.m. Eastern Time to discuss the results and financial guidance.
Interested parties can access the conference call via phone by registering through a provided link. Additionally, a live webcast of the call will be available on the company's Investor Relations page, with a replay archived on the website for future reference.
Datadog (NASDAQ: DDOG) has announced the general availability of Datadog Monitoring for Oracle Cloud Infrastructure (OCI). This new offering enables Oracle customers to monitor both cloud-native and traditional workloads on OCI, providing comprehensive visibility across infrastructure, applications, and services. Key features include:
1. Integration with 20+ major OCI services and 750+ other technologies
2. Customizable dashboards and monitors for real-time performance visualization
3. Monitoring of AI/ML inference workloads, including GPU usage and performance
4. Code-level visibility into applications with real-time service maps and AI-powered synthetic monitors
The solution aims to help customers confidently migrate from on-premises to cloud environments, execute multi-cloud strategies, and monitor AI/ML workloads effectively.
Datadog (NASDAQ: DDOG) has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms for the fourth consecutive year. This recognition is based on Datadog's Ability to Execute and Completeness of Vision. The report, formerly known as the Gartner Magic Quadrant for APM and Observability, evaluates technology providers in markets with high growth and distinct differentiation.
Customer feedback plays a important role in Datadog's product innovation. The company's platform is praised for its comprehensive monitoring capabilities, intuitive interface, and extensive integrations. Amit Agarwal, President at Datadog, emphasized the importance of understanding customer needs to provide solutions that address their daily challenges.
Datadog (NASDAQ: DDOG) released its Q2 2024 financial results, reporting a 27% revenue increase YoY to $645 million. The company’s GAAP operating income was $13 million with a 2% operating margin, while non-GAAP operating income stood at $158 million with a 24% operating margin. GAAP net income per share was $0.12; non-GAAP net income per share was $0.43. The company generated $164 million in operating cash flow and $144 million in free cash flow. Datadog's customer base with ARR of $100k+ grew by 13% to about 3,390 customers. Additionally, Datadog announced the general availability of LLM Observability, innovations in Generative AI, and other security and analytics tools at DASH 2024. The company provided Q3 revenue guidance between $660 million and $664 million and full-year revenue guidance between $2.62 billion and $2.63 billion.
Datadog (NASDAQ:DDOG), a leading monitoring and security platform for cloud applications, has announced its participation in three upcoming investor conferences. The company's management will present at:
- The Oppenheimer Technology, Internet and Communications Conference on Tuesday, August 13, 2024, at 2:05 p.m. ET
- The Citi Global TMT Conference on Wednesday, September 4, 2024, at 10:00 a.m. ET
- The Goldman Sachs Communacopia and Technology Conference on Tuesday, September 10, 2024, at 6:45 p.m. ET
All presentations will be webcast live and available for replay for a time on Datadog's investor relations website under the 'Events and Presentations' section.
Datadog (NASDAQ: DDOG) has appointed Yanbing Li as Chief Product Officer, effective immediately. Li brings over 25 years of product, technology, and engineering experience from leadership roles at Aurora, Google, and VMware. Her expertise in artificial intelligence, machine learning, cloud and data infrastructure, enterprise software, and cloud operations is expected to help scale Datadog's product portfolio.
Li most recently served as Senior Vice President of Engineering at Aurora, leading all software development efforts. She previously held executive positions at Google and VMware, focusing on cloud commerce platforms, operations infrastructure, and storage and availability business units. Li holds a Ph.D. from Princeton University, a master's degree from Cornell University, and a bachelor's degree from Tsinghua University.
Datadog (NASDAQ: DDOG), a leading provider of monitoring and security solutions for cloud applications, has announced its upcoming second quarter fiscal year 2024 earnings call. The company will release its financial results before the U.S. markets open on Thursday, August 8, 2024. Following this, Datadog will host a conference call at 8:00 a.m. Eastern Time on the same day to discuss the results and provide financial guidance.
Investors and interested parties can access the conference call via phone by registering through a provided link. Additionally, a live webcast of the call will be available on the company's Investor Relations page, with a replay archived on the website for future reference.
Datadog (NASDAQ: DDOG), a cloud application monitoring and security platform, has appointed David Galloreese as Chief People Officer (CPO) on July 3, 2024. Galloreese brings over 20 years of human resources experience from notable companies such as Figma, Wells Fargo, Walmart, Medallia, and Caesars Entertainment. He was most recently a Senior Advisor at McKinsey & Company, advising firms like Karat, Guild, and Gametime. CEO Olivier Pomel highlighted Galloreese's extensive experience in leading people functions at both tech firms and large-scale brands, which is expected to drive Datadog's next phase of growth. Galloreese expressed his commitment to enhancing Datadog's mission, culture, and team as the company continues its rapid expansion.
Datadog (NASDAQ: DDOG) announced a new feature called Datadog Kubernetes Autoscaling, which automates resource optimization and scales Kubernetes environments based on real-time and historical data.
This new capability aims to reduce cloud costs by addressing the issue of idle resources, which account for 83% of container costs according to Datadog's State of Cloud Costs 2024 report.
By providing automated rightsizing of Kubernetes resources, it ensures optimal performance and ROI. The feature allows users to manually or automatically scale their workloads, balancing cost and performance issues effectively.
Datadog is the first observability platform to offer direct Kubernetes environment changes, providing a unified view of resource utilization and cost metrics to simplify operation for teams.
