Datadog Experiments Delivers Faster Product Delivery

Datadog has announced that Datadog Experiments is now generally available. Product teams can now design, run, and measure product experiments and A/B tests within Datadog’s observability platform. This is the first major update from the company’s acquisition of Eppo. It means that teams can ship faster to meet customer and business unit demand without sacrificing reliability and quality.

Yanbing Li, Chief Product Officer at Datadog, said, “The faster teams ship, the more expensive it becomes to not know what’s working.

“When signals are scattered across disconnected tools, teams make decisions with incomplete information—missing what’s actually driving revenue and killing the bold bets that will move the business forward.”

Connecting modelling with delivery

This announcement connects application modelling with delivery. Existing tools live in silos. It creates a disconnect between the business and product teams. AI is accelerating demands for new features and technologies. That is creating a bigger disconnect, resulting in delayed products and increased tension between IT and the business.

This is where Datadog Experiments sits. Teams can run multiple A/B tests to see the impact of any new feature on key metrics. The results are pulled into a single dashboard. This gives teams instant feedback so they can spot issues as they occur. There are self-serve analysis tools that allow different teams to set their own metrics and measure performance against them.

Experiments also support Feature Flags, a platform launched by Datadog in February to manage feature rollouts at scale. Bringing the two solutions together will help IT teams close the gap between user demands and IT capacity. Importantly, it will also reduce the additional strains created from pressures to add AI to products.

Enterprise Times: What does this mean?

Reducing the friction in product development and deployment, securely and at scale, is critical. Business units demand faster product delivery or else they look elsewhere for solutions. That creates significant problems for organisations as they look to stop the adoption of shadow IT.

While Datadog says that this will reduce the time lost in current development cycles, it hasn’t provided any statistics in the release notes. Additionally, there is no detail on how early adopters have done with the product. Both will be eagerly awaited by organisations that will be interested in this as a solution for their development challenges.

This is not just about new development. For many organisations, adding new features to existing applications is an area where they struggle. Nobody wants to destabilise a working application and deal with user complaints. However, the days when software releases could be measured in months have gone.

Users get continuous updates from the SaaS applications and platforms they use. These are delivered seamlessly and without rollback. Meanwhile, in enterprise development, teams spend a lot of their time testing before they move products to production to avoid the need for rollback.

Datadog is on a roll at the moment. It is delivering new products and solutions at a prodigious rate. That underscores the effectiveness of its platform. All that is missing are the case studies to show how customers are taking those same tools to reduce cost and improve their software delivery.

Datadog AI SOC Analyst Investigates Threats 98% faster

The post Datadog Experiments Delivers Faster Product Delivery appeared first on Enterprise Times.