Latest news with #ChetanSharma
Arabian Post
08-05-2025
- Business
- Arabian Post
Datadog Strengthens AI Capabilities with Eppo Acquisition
Datadog, a prominent provider of cloud application monitoring and security solutions, has acquired Eppo, a San Francisco-based startup specialising in feature flagging and experimentation platforms. This strategic move aims to enhance Datadog's product analytics and AI-driven experimentation offerings. The acquisition aligns with Datadog's broader strategy to bolster its AI and analytics capabilities. The company has experienced a 25% year-over-year increase in first-quarter revenue, reaching $761.6 million. This growth is attributed to the rising demand for AI-driven cloud security solutions and the adoption of new products like App Builder and On-Call. Datadog has also raised its full-year 2025 revenue forecast to between $3.22 billion and $3.24 billion, surpassing previous estimates. Eppo, founded in 2021 by CEO Chetan Sharma, has developed a platform that enables companies to conduct randomized controlled experiments. The platform integrates with data warehouses, cloud services, and AI products, allowing for efficient and rigorous experimentation. Eppo's clients include Twitch, DraftKings, Perplexity, Coinbase, Zalando, Delivery Hero, SurveyMonkey, and Fanatics. The acquisition is expected to provide Datadog with advanced experimentation tools, enhancing its ability to offer AI-powered personalization and feature flagging. This will enable clients to build products more efficiently and reduce the risks associated with new feature rollouts. Eppo's platform is designed to support high experiment velocity, allowing companies to run trustworthy experiments faster. By building on Snowflake, Eppo delivers analyst efficiency and data security benefits, enabling customers to upgrade from fragmented and unreliable experimentation workflows to a metrics-first setup. The integration of Eppo's capabilities into Datadog's platform is anticipated to provide a more seamless workflow for users. This will allow teams to manage their experimentation lifecycle in one place, operating collaboratively and demonstrating return on investment more effectively. Datadog's acquisition of Eppo reflects a growing trend in the industry, where companies are seeking to enhance their AI and analytics offerings through strategic acquisitions. This move positions Datadog to better serve its clients by providing more comprehensive tools for monitoring, security, and experimentation in cloud environments. The financial details of the acquisition have not been disclosed. However, the move is seen as a significant step in Datadog's efforts to expand its product offerings and maintain its competitive edge in the rapidly evolving cloud services market. Eppo's team, which includes former employees from Airbnb, LinkedIn, Uber, and Snowflake, brings a wealth of experience to Datadog. This acquisition is expected to accelerate Datadog's innovation in AI and analytics, providing clients with more robust tools to navigate and secure modern cloud environments.
Scoop
06-05-2025
- Business
- Scoop
Datadog Acquires Eppo To Expand Its AI, Product Analytics, Experimentation And Feature Flag Capabilities
Press Release – Datadog With its acquisition of Eppo, Datadog creates a full end-to-end product analytics solution on one platform. Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced it has acquired Eppo, a feature flagging and experimentation platform, which will tightly integrate with Datadog's existing Product Analytics suite. Today, application developers need to stitch together analytics from various tools across engineering, product and business teams to understand the impact of their new features and improvements. Changes are often rolled out without understanding their impact to KPIs, making it difficult to tie these changes back to business outcomes. With its acquisition of Eppo, Datadog creates a full end-to-end product analytics solution on one platform. This unified approach means that engineers can track code changes with feature flags, data science leaders together with product managers can design and measure impact with experiments, and business analysts can use Datadog's Product Analytics suite to understand overall product usage and business outcomes. As AI workloads grow, Eppo's experimentation capabilities help developers safely scale complex systems. These capabilities can measure the impact to the overall user experience in real time and accelerate the safe roll-out of changes, ultimately creating a more agile and trustworthy development workflow. 'The use of multiple AI models increases the complexity of deploying applications in production. This complexity makes it difficult for developers to quantify the business impact of different models, agent behaviours, prompts or UI changes,' said Michael Whetten, VP of Product at Datadog. 'Experimentation solves this correlation and measurement problem, enabling teams to compare multiple models side-by-side, determine user engagement against cost trade-offs and ultimately build AI products that deliver measurable value.' 'Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage and industry,' said Chetan Sharma, founder and CEO of Eppo. 'With Datadog, we are uniting product analytics, feature management, AI and experimentation capabilities for businesses to reduce risk, learn quickly and ship high-quality products.' Eppo will continue supporting existing customers and bringing on new customers as part of Eppo by Datadog.
Techday NZ
06-05-2025
- Business
- Techday NZ
Datadog acquires Eppo to enhance feature flagging analytics
Datadog has acquired Eppo, a feature flagging and experimentation platform, in a move to strengthen its Product Analytics suite by offering developers a unified, end-to-end solution. The integration will allow engineering, product and business teams to collaborate more efficiently in understanding the impact of new software features. Announced on Monday, the acquisition enables Datadog to provide a more seamless experience for organisations navigating the complexities of application development—particularly those deploying AI-powered features. "Today, application developers need to stitch together analytics from various tools across engineering, product and business teams to understand the impact of their new features and improvements," Datadog stated in the release. "Changes are often rolled out without understanding their impact to KPIs, making it difficult to tie these changes back to business outcomes." With Eppo now part of its platform, Datadog aims to close this gap by offering a single system where teams can manage feature flags, run experiments, and analyse product performance all in one place. "This unified approach means that engineers can track code changes with feature flags, data science leaders together with product managers can design and measure impact with experiments, and business analysts can use Datadog's Product Analytics suite to understand overall product usage and business outcomes," the company said. Datadog also emphasised the relevance of this integration for companies managing AI-based systems. According to the company, Eppo's experimentation tools allow teams to measure how AI model changes affect user experience and performance in real time. "The use of multiple AI models increases the complexity of deploying applications in production," said Michael Whetten, Vice President of Product at Datadog. "This complexity makes it difficult for developers to quantify the business impact of different models, agent behaviours, prompts or UI changes." "Experimentation solves this correlation and measurement problem," he added, "enabling teams to compare multiple models side-by-side, determine user engagement against cost trade-offs and ultimately build AI products that deliver measurable value." Chetan Sharma, founder and CEO of Eppo, said the integration will make experimentation more accessible and impactful for a broader range of organisations. "Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage and industry," Sharma said. "With Datadog, we are uniting product analytics, feature management, AI and experimentation capabilities for businesses to reduce risk, learn quickly and ship high-quality products." Following the acquisition, Eppo will continue to support existing customers and onboard new ones under the "Eppo by Datadog" branding. Datadog describes its platform as providing "unified, real-time observability and security" across the technology stack. The company's tools are designed to support development, operations, security and business teams in a range of digital transformation and cloud migration efforts. The acquisition adds to Datadog's focus on helping teams understand user behaviour and track business metrics more effectively, especially in increasingly complex cloud-native environments.
Scoop
06-05-2025
- Business
- Scoop
Datadog Acquires Eppo To Expand Its AI, Product Analytics, Experimentation And Feature Flag Capabilities
Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced it has acquired Eppo, a feature flagging and experimentation platform, which will tightly integrate with Datadog's existing Product Analytics suite. Today, application developers need to stitch together analytics from various tools across engineering, product and business teams to understand the impact of their new features and improvements. Changes are often rolled out without understanding their impact to KPIs, making it difficult to tie these changes back to business outcomes. With its acquisition of Eppo, Datadog creates a full end-to-end product analytics solution on one platform. This unified approach means that engineers can track code changes with feature flags, data science leaders together with product managers can design and measure impact with experiments, and business analysts can use Datadog's Product Analytics suite to understand overall product usage and business outcomes. As AI workloads grow, Eppo's experimentation capabilities help developers safely scale complex systems. These capabilities can measure the impact to the overall user experience in real time and accelerate the safe roll-out of changes, ultimately creating a more agile and trustworthy development workflow. 'The use of multiple AI models increases the complexity of deploying applications in production. This complexity makes it difficult for developers to quantify the business impact of different models, agent behaviours, prompts or UI changes,' said Michael Whetten, VP of Product at Datadog. 'Experimentation solves this correlation and measurement problem, enabling teams to compare multiple models side-by-side, determine user engagement against cost trade-offs and ultimately build AI products that deliver measurable value." 'Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage and industry,' said Chetan Sharma, founder and CEO of Eppo. 'With Datadog, we are uniting product analytics, feature management, AI and experimentation capabilities for businesses to reduce risk, learn quickly and ship high-quality products.' Eppo will continue supporting existing customers and bringing on new customers as part of Eppo by Datadog.
Time of India
01-05-2025
- Time of India
6 held for running online IPL betting racket in Doon
Dehradun: Six individuals were arrested on Thursday for allegedly operating an online IPL betting racket from a homestay in Dehradun's Rajpur area. Dehradun SSP Ajai Singh said that the arrests followed a tip-off about suspicious activities at a homestay facility involving individuals from outside the state. The accused were identified as Chetan Sharma, 34, Shakti Singh, 35, Dheeraj Sharma, 29, Nishant, 35, Karan, 29, and Sohan Singh, 44, all residents of Delhi. "Investigations revealed they came from Delhi to run online betting operations in ongoing IPL matches. They said that betting is controlled by their handlers based in Dubai. They used two banned apps to place bets for clients both in India and abroad. Payments were received through UPI and in cash," said Singh. Police recovered Rs 5.33 lakh in cash, two laptops, 17 mobile phones, along with other electronic devices from the spot.
