Benzinga | Oct 26, 2021 12:32PM EDT

Datadog Introduces Datadog Apps To Extend Platform To 3rd-Party Applications; Announces Network Device Monitoring, Launches Session Replay

Datadog, Inc. (NASDAQ:DDOG), the monitoring and security platform for cloud applications, announced today the launch of Datadog Apps, a program for partners to build applications that provide seamless workflows between partners' products and the Datadog platform. Launch partners for Datadog Apps include Embrace, Fairwinds, Harness, LaunchDarkly, PagerDuty, Rookout, and Shoreline, whose apps are all available on the Datadog Marketplace today.

Datadog Apps allows technology partners to deliver their application capabilities as native applications inside the Datadog platform. This delivers a seamless workflow for Datadog users to create and view custom data visualizations, respond to identified issues, and make changes to their applications and systems. For example, users will now be able to acknowledge or resolve an incident, turn on a feature flag, or launch a remediation workflow, all from within the platform.

"Datadog has quickly become the de facto monitoring and observability platform in the organizations we serve, providing insights drawn from an organization's infrastructure, logs and application data. To act on these insights, users often have to log in and 'swivel chair' to other applications, which can be disruptive to their workflow and lead to a disjointed user experience," said Marc Weisman, Vice President, Product, Datadog. "With the release of Datadog Apps, we are deepening our integrations with technology partners to deliver a more seamless experience for our users, so that they are better able to maintain the health of their systems and their businesses."

"The functionality of our application on top of our existing integration makes the story of combining LaunchDarkly's powerful feature management platform with Datadog observability even stronger," said Brandon Mensing, Principal Product Manager, LaunchDarkly. "Customers can now actively manage feature flags while continuously monitoring for key performance metrics and security signals. Because we leveraged the Datadog App SDK, we were able to quickly build and ship our App. Datadog's community of 16,000 customers can now more easily release new features with greater control and confidence."

"With PagerDuty, Datadog customers can experience more effective incident response while increasing visibility and accountability throughout the incident lifecycle," said Veni Garg, Senior Director Product Management, Platform & Ecosystem, PagerDuty. "Creative integrations are an ongoing focus for the PagerDuty team as we aim to drive value for customers who will benefit from a connected ecosystem. We're excited about our Datadog App and what our mutual customers can now do without needing to switch tools. Status Dashboard by PagerDuty and Incidents by PagerDuty can be added directly to users' dashboards to get a quick, real time view of their team's system health and respond to high-urgency incidents directly from the Datadog interface."



Datadog, Inc. (NASDAQ:DDOG), the monitoring and security platform for cloud applications, announced today the general availability of Network Device Monitoring. This new product enables network engineers to monitor servers, routers, switches and firewalls in data centers, as well as access points in campus and branch office networks, directly from the Datadog platform.

Maintaining either an entirely on-premise or hybrid environment is critical to the success of many businesses. For instance, some companies have made capital investments into data centers for security reasons, or have decided to run large static workloads, while others must execute their critical business processes as close to the edge as possible to ensure minimal latency. On-premise infrastructure can contain thousands of network appliances, and any one of them can be a point of failure. This makes it extremely important to employ a monitoring strategy that provides full visibility into every network component.

Network Device Monitoring enables network engineers to isolate the exact source of slow network communication. Teams are able to collect, report, and deliver alerts based on telemetry data such as saturated switch ports, drops in connections through a firewall or circuit failures. Network Device Monitoring is built on top of Datadog's Infrastructure Monitoring product, enabling network engineers to leverage machine learning algorithms, such as anomaly and outlier detection, to proactively alert before customers ever experience any change at all.

"With Datadog Network Device Monitoring, we are now able to bring detailed information from thousands of devices across our large-scale network into the Datadog platform alongside the rest of our apps, services and other infrastructure," said Rob Faria De Oliveira, Infrastructure Operations Manager, Wayfair. "With everything now in a single tool, our Network Operations Center is able to isolate and respond to issues faster than ever."

"We're excited to invite network engineers into Datadog so they can monitor their critical infrastructure in the same platform the rest of their teammates are already using," said Ilan Rabinovitch, Senior Vice President, Product and Community, Datadog. "We know that hybrid cloud is the future, and having visibility into every infrastructure component that your applications communicate across is critical in maintaining a modern, healthy business."



Datadog, Inc. (NASDAQ:DDOG), the monitoring and security platform for cloud applications, announced today the release of Session Replay, a new offering that shows organizations, through a video-like playback, how users are interacting with their applications.

Having a common understanding of the user experience is foundational to the work of product managers, UX designers, frontend engineers, and support teams, as well as to effective cross-functional collaboration. Yet these teams often have a siloed and incomplete view of the user journey. In addition, many organizations rely on data-driven approaches that do not always provide the full context necessary to understand user intent. As a result, organizations are often unable to develop a true understanding and empathy for their users' experience.

Using Session Replay's video-like playback capabilities, organizations can now observe how users navigate and interact with their website to draw insight into how long it takes them to make decisions, what they hover over before clicking, how they respond to broken UI elements, and more. If an issue is identified, because Session Replay is part of Datadog's broader APM platform, users can immediately pivot to relevant traces, logs and errors to correlate frontend information with additional backend context.

"The organizations that are able to build the strongest user-centric businesses are also the organizations that have the strongest understanding of their users," said Renaud Boutet, Senior VP of Product, Datadog. "Session Replay extends Datadog's full-stack visibility to provide a complete view of user behavior, as if you were watching the user's same screen. Session Replay enables support teams and full-stack engineers to reproduce bugs and troubleshoot faster, and UI/UX designers to create more user-centric workflows. Ultimately, it helps everyone collaborate more effectively to deliver better digital experiences."

"Datadog Session Replay tells the user story for the business side of the fence,'' said James O'Hare, Senior DevOps Engineer, NielsenIQ. "It's something that monitoring tools just haven't been able to do before."

"We've had users take an action that causes an error two minutes later, which makes it nearly impossible to debug," said Artem Shapilov, Front End Developer, Mynd Property Management. "With Session Replay, we can instantly replicate the entire user journey and resolve errors quickly."