Rewrite the
Combining observability with experimentation and feature flags will help companies build high-quality products faster and with less risk, especially when using AI
Datadog, 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.
Read: AI in Content Creation: Top 25 AI Tools
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.
Also Read: Amperity Unveils Industry’s First Identity Resolution Agent, Accelerating AI Readiness for Enterprise Brands
“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 behaviors, 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 tradeoffs 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.”
[To share your insights with us, please write to psen@itechseries.com]
in well organized HTML format with all tags properly closed. Create appropriate headings and subheadings to organize the content. Ensure the rewritten content is approximately 1500 words. Do not include the title and images. please do not add any introductory text in start and any Note in the end explaining about what you have done or how you done it .i am directly publishing the output as article so please only give me rewritten content. At the end of the content, include a “Conclusion” section and a well-formatted “FAQs” section.
