Latest news with #YanbingLi
Techday NZ
6 days ago
- Business
- Techday NZ
Datadog launches Sydney AWS region to boost local compliance
Datadog has launched its full suite of products and services in the Amazon Web Services (AWS) Asia-Pacific (Sydney) Region, allowing Australian organisations to meet local privacy, security and data residency requirements. This expansion enables Datadog's customers and partners in Australia to store and process data within the country, with the capability designed to support compliance in highly regulated sectors including government, banking, healthcare, and higher education. Local capacity The addition of the AWS Sydney Region comes as Australian organisations are expected to increase their cloud spending significantly. Rob Thorne, Vice President for Asia-Pacific and Japan (APJ) at Datadog, outlined the scale of this investment: "Australian organisations are on track to spend nearly A$26.6 billion on public cloud services alone in 2025. For organisations in highly regulated industries, it isn't just the cloud provider that needs to have local data storage capacity – it should be all layers of the tech stack." The new local instance enables Datadog to deliver its observability and security platform with in-region data processing. This helps Australian organisations meet national requirements by ensuring that sensitive or regulated information remains within their borders. Cloud agnosticism Although the Datadog instance operates on AWS, its platform is designed to monitor infrastructures and applications running on any cloud provider, allowing flexibility for customers and partners across different deployment environments. The platform's expansion in Australia follows Datadog's existing regions in North America, Asia, and Europe, building on its strategy to offer monitoring and security capabilities tailored for local compliance demands. Commitment to Australia and New Zealand Yanbing Li, Chief Product Officer at Datadog, explained the significance of the development for the region. "This milestone reinforces Datadog's commitment to supporting the region's advanced digital capabilities - especially the Australian Government's ambition to make the country a leading digital economy. With strong momentum across public and private sectors, our investment enhances trust in Datadog's unified and cloud-agnostic observability and security platform, and positions us to meet the evolving needs of agencies and enterprises alike." In addition to the enhanced in-region capacity, the expansion is part of the company's wider strategy in Australia and New Zealand. Thorne stated, "This milestone reflects Datadog's priority to support these investments. It's the latest step in our expansion down under, and follows the continued addition of headcount to support our more than 1,100 A/NZ customers, as well as the recent appointments of Field CTO for APJ, Yadi Narayana, and Vice President of Commercial Sales for APJ, Adrian Towsey, to our leadership team." Supporting compliance The move to local data storage is intended to address increasing regulatory demands across various industries in Australia, where legislation often requires data related to citizens, clients, or patients to remain within national boundaries. Leveraging AWS in Sydney for its own systems, Datadog ensures that organisations can confidently meet legislative obligations without needing to change their cloud providers for core applications and infrastructure. Datadog's observability and security platform provides real-time monitoring across infrastructure, applications, and cloud environments. Its software integrates functions such as infrastructure monitoring, application performance management, log analytics, user experience monitoring, and security into a consolidated offering. Market context Australian organisations across sectors are accelerating digital transformation projects, with cloud adoption at the core of enterprise IT strategies. The establishment of in-country data handling by global cloud and SaaS providers addresses significant barriers related to regulation and local auditing requirements, especially for sectors that handle regulated or sensitive information. With local support, investment in staff, and alignment of its platform capabilities, Datadog aims to help customers and partners maintain compliance while adopting a range of public or private cloud technologies in line with their operational needs.
Scoop
6 days ago
- Business
- Scoop
Datadog And AWS Partner To Bring Full-Stack Observability To A/NZ Regions
Datadog, Inc. (NASDAQ:DDOG), the monitoring and security platform for cloud applications, has today launched its full range of products and services on the Amazon Web Services' (AWS) Asia-Pacific (Sydney) Region. The launch adds to existing locations in North America, Asia, and Europe, strengthening Datadog's comprehensive observability platform that enables customers to monitor their entire technology stack across their deployment environments. The new local availability zone enables Datadog, its customers and partners to store and process data locally, enabling faster observability and in-region capacity to meet applicable Australian privacy, security and data storage requirements. This is crucial for an increasing number of organizations, and particularly those operating in regulated environments such as government, banking, healthcare and higher education. 'This milestone reinforces Datadog's commitment to supporting the region's advanced digital capabilities—especially the Australian Government's ambition to make the country a leading digital economy,' said Yanbing Li, Chief Product Officer at Datadog. 'With strong momentum across public and private sectors, our investment enhances trust in Datadog's unified and cloud-agnostic observability and security platform, and positions us to meet the evolving needs of agencies and enterprises alike.' "Australian organisations are on track to spend nearly A$26.6 billion on public cloud services alone in 2025. For organisations in highly regulated industries, it isn't just the cloud provider that needs to have local data storage capacity – it should be all layers of the tech stack,' said Rob Thorne, Vice President for Asia-Pacific and Japan (APJ) at Datadog. "This milestone reflects Datadog's priority to support these investments. It's the latest step in our expansion down under, and follows the continued addition of headcount to support our more than 1,100 A/NZ customers, as well as the recent appointments of Field CTO for APJ, Yadi Narayana, and Vice President of Commercial Sales for APJ, Adrian Towsey, to our leadership team,' said Thorne. For more information, visit: 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 7, 2025, 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.
Techday NZ
11-07-2025
- Business
- Techday NZ
Datadog named Leader in Gartner observability report for fifth year
Datadog has been recognised as a Leader in the Gartner Magic Quadrant for Observability Platforms for the fifth consecutive year. The designation follows Gartner's evaluation of technology providers in the observability sector, assessing companies based on their ability to execute and the completeness of their vision. In Gartner's Magic Quadrant structure, Leaders are described as those companies that execute well against their current vision and are well positioned for tomorrow. Observability market The Magic Quadrant for Observability Platforms is informed by Gartner's research into the application performance monitoring and observability market. The assessment provides organisations with an overview of vendors' strengths and abilities to meet customer requirements in a rapidly evolving area, where differentiation among providers is considered distinct and market growth remains high. The quadrant categorises providers into four segments: Leaders, Visionaries, Niche Players, and Challengers, each defined by differing levels of vision and execution. Datadog's continued presence in the Leader category is underpinned by its focus on product development and research and development. The company states that feedback from its customers is a significant driver for the features and enhancements introduced to the platform each year. Customer insights Recent feedback from customers on Gartner Peer Insights reflects on the practical impact of the platform for organisations of varying industries and scales. A Senior Director of Engineering at a software company commented: Datadog provides incredible insights into complex tooling. They continue to innovate and add new features regularly throughout the year, and their CSM [customer success management] team is very responsive and helpful. The user interface is very clean and easy to use, even with a tremendous amount of data and features. The APM and USM [universal service monitoring] features have been invaluable additions to our observability and helping us remediate issues quickly. The Watchdog feature has also been terrific for proactive alerting of things that didn't have specific monitors set up. Similarly, an SRE Engineer at a healthcare and biotech company said: The insights that we're able to get by building custom metrics within Datadog have been invaluable. We've managed to catch behaviours within our application that we otherwise wouldn't have caught, and it's helped us create a more reliable experience for our customers. Company perspective Yanbing Li, Chief Product Officer at Datadog, said the company values its standing within the industry and views ongoing research as essential to its strategy. It is significant for us to see Gartner name Datadog a Leader in its Magic Quadrant for Observability Platforms for a fifth straight year. Product innovation and R&D continue to be key focus areas for us as both Datadog and our customers embrace AI to build and improve applications, workflows and cloud environments. We look forward to working with our user base to further our product strategy and leadership in the market. Broader context The recognition by Gartner is based on assessments by the research organisation and does not amount to endorsement of any vendor, product or service mentioned in its publications. Feedback on platforms such as Gartner Peer Insights consists of individual opinions from users based on their own experiences. Datadog provides a software-as-a-service platform that covers infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and related services. The platform is used by a broad range of organisations seeking unified oversight and enhanced security for their technology environments as they undertake digital transformation and cloud migration initiatives. Follow us on: Share on:
Scoop
11-07-2025
- Business
- Scoop
Datadog Recognised For Innovation As 2025 Gartner® Magic Quadrant™ Leader For Observability Platforms
Datadog, Inc., the monitoring and security platform for cloud applications, today announced it has been named a Leader in the Gartner Magic Quadrant for Observability Platforms, 2025. This is the fifth consecutive year Gartner has positioned Datadog as a Leader in the Magic Quadrant. The Gartner Magic Quadrant for Observability Platforms is a culmination of the Gartner research of the application performance monitoring (APM) and observability market. A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct: Leaders execute well against their current vision and are well positioned for tomorrow; Visionaries understand where the market is going or have a vision for changing market rules, but do not yet execute well; Niche Players focus successfully on a small segment, or are unfocused and do not out-innovate or outperform others; Challengers execute well today or may dominate a large segment, but do not demonstrate an understanding of market direction. Customer feedback is vital to Datadog's product innovation. Below are two recent reviews of Datadog from the company's profile on Gartner Peer Insights ™: 'Datadog provides incredible insights into complex tooling. They continue to innovate and add new features regularly throughout the year, and their CSM [customer success management] team is very responsive and helpful,' said a Senior Director of Engineering at a software company. 'The user interface is very clean and easy to use, even with a tremendous amount of data and features. The APM and USM [universal service monitoring] features have been invaluable additions to our observability and helping us remediate issues quickly. The Watchdog feature has also been terrific for proactive alerting of things that didn't have specific monitors set up.' 'The insights that we're able to get by building custom metrics within Datadog have been invaluable. We've managed to catch behaviors within our application that we otherwise wouldn't have caught, and it's helped us create a more reliable experience for our customers,' said an SRE Engineer at a healthcare and biotech company. 'It is significant for us to see Gartner name Datadog a Leader in its Magic Quadrant for Observability Platforms for a fifth straight year,' said Yanbing Li, Chief Product Officer at Datadog. 'Product innovation and R&D continue to be key focus areas for us as both Datadog and our customers embrace AI to build and improve applications, workflows and cloud environments. We look forward to working with our user base to further our product strategy and leadership in the market.' The full report is now available for download here: .
Techday NZ
12-06-2025
- Business
- Techday NZ
Datadog unveils new Bits AI agents to streamline cloud workflows
Datadog has announced the introduction of three artificial intelligence agents designed to support development, security and operations teams with interactive investigations and asynchronous code fixes. The newly released Bits AI SRE, Bits AI Dev Agent and Bits AI Security Analyst agents are complemented by Proactive App Recommendations and APM Investigator capabilities, furthering the development of Bits AI, Datadog's generative AI assistant intended for real-time resolution of application issues. Domain-specific AI agents Datadog has stated that these new domain-specific AI agents are trained to provide expertise in incident response, product development and security for organisations operating cloud applications. Each agent reportedly operates on a shared set of core capabilities, enabling tasks such as querying data, analysing anomalies, and scaling infrastructure to be consistently deployed and reused across different agents. This architecture is aimed at allowing the rapid creation and deployment of new agents, whilst maintaining a uniform user experience. According to the company, this framework is supported by substantial and high-quality observability data, ensuring the AI capabilities work with contextual understanding and accuracy to deliver actionable insights intended to eliminate risk. "Datadog is uniquely positioned to deliver value with AI as a platform that has a wealth of clean, rich data—we process trillions of data points and are embedded in our customers' critical engineering, developer and security workflows," said Yanbing Li, Chief Product Officer at Datadog. "With these advancements in AI reasoning and multi-modality, we've gone beyond helping organisations understand their availability, security, performance and reliability. We now enable human-in-the-middle workflows by guiding customers on what to look for and where to start looking, and augment their ability to take action." Agent details The Bits AI SRE agent, now in Limited Availability, functions as a 24x7 on-call responder. The agent undertakes the initial triage of all alerts using telemetry and service context to produce preliminary investigation findings prior to an individual responder logging on. It then assigns relevant roles, provides updates through real-time incident summaries and status reports, suggests subsequent steps, and drafts initial versions of incident post-mortems to save time for response teams. The Bits AI Dev Agent, available in preview, is designed to detect software issues, propose code fixes, and directly open pull requests tailored to organisations' technology stack. This feature aims to streamline the review and merge process within source code management systems, providing engineering teams with AI support for addressing issues and enhancing productivity. Bits AI Security Analyst, also in preview, performs autonomous triage of Cloud SIEM (security information and event management) signals. The agent is intended to handle in-depth analysis of potential threats and deliver well-reasoned resolution recommendations without requiring human intervention, potentially reducing incident response times and transforming the security workflow involved in processing security signals. Customer commentary Thomson Reuters is among the organisations adopting Datadog's AI offerings. Darren Trzynka, Senior Cloud Architect at Thomson Reuters, shared the company's perspective on the benefits of Bits AI for operational teams. "At Thomson Reuters, we're focused on maximising operational efficiency and accelerating innovation at scale through generative AI solutions," said Darren Trzynka, Senior Cloud Architect at Thomson Reuters. "Bits AI allows operations and downstream platform teams to receive the full context of the investigation—from the initial monitor trigger to conclusion—driving down resolution time significantly freeing them up to do more." Additional capabilities Datadog has also introduced Proactive App Recommendations and APM Investigator features as part of its preview capabilities. Proactive App Recommendations uses telemetry data already collected by Datadog to suggest impactful fixes and recommend next steps. This tool provides insights to developers for optimising slow queries, addressing inefficient code, and catching recurring exceptions, with the goal of improving performance, reducing errors, and cutting resource usage before end-users are affected. The APM Investigator tool automates the previously manual task of troubleshooting latency spikes. It works by identifying bottlenecks, gauging impact, highlighting trends across slow traces, suggesting possible causes, and proposing resolutions. Other launches referenced include capabilities in AI observability, AI security, log management and the rollout of an internal developer portal. The newly announced AI solutions are designed to complement Datadog's ongoing commitment to support engineering, security, and operational workflows within cloud environments.
