Bugsnag Launches Features Dashboard
February 09, 2022
Share this

SmartBear launched the Features Dashboard within Bugsnag, the company’s application stability management solution.

The new decision-support tool gives developers the real-time visibility and actionable insights they need to speed up software innovation. With the new dashboard, Bugsnag becomes the only platform to offer advanced observability and insights in making data-driven decisions throughout the progressive delivery process. Today, development teams practicing progressive delivery are accelerating releases by introducing code changes supported through feature flags and experiments.

“Developers are under tremendous pressure to roll out new features and releases quickly and are turning to progressive development,” said Duncan Hewett, VP of the Bugsnag Product Group at SmartBear. “However, software quality concerns often hold them back. The new Features Dashboard answers their needs by enabling developers to make data-driven decisions throughout progressive delivery based on user experience while enhancing software quality. Essentially, it gives them the confidence to respond to consumer and market demands more quickly.”

The Features Dashboard enhances support for progressive delivery, the modern software development lifecycle that builds upon the core principles of continuous integration and continuous delivery (CI/CD). As features are rolled out, developers can gain real-time insights into any errors impacting the experience of the users with the feature. It keeps user experience at the front and center of the software delivery lifecycle — from pre-production to production — and helps developers decide when to roll out new features based on the software quality.

The Features Dashboard offers three distinct developer advantages:

- Observability: The real-time visibility and alerts keep developers informed about errors or error activities created by feature flags and experiments and how they impact user experience.

- Data-driven decisions: Developers can use data-driven insights to decide whether they should roll back the feature, release to more users, or pick the most stable variant of an experiment.

- Confidence: By quickly discovering and rooting out issues in feature flags and experiments, developers can be more confident about speeding up delivery and minimizing risks.

Share this

The Latest

May 23, 2024

Hybrid cloud architecture is breaking the backs of network engineering and operations teams. These teams are more successful when their companies go all-in with the cloud or stay out of it entirely. When companies maintain hybrid infrastructure, with applications and data residing across data centers and public cloud services, the network team struggles. This insight emerged in the newly published 2024 edition of Enterprise Management Associates' (EMA) Network Management Megatrends research ...

May 22, 2024

As IT practitioners, we often find ourselves fighting fires rather than proactively getting ahead ... Many spend countless hours managing several tools that give them different, fractured views of their own work — which isn't an effective use of time. Balancing daily technical tasks with long-term company goals requires a three-step approach. I'll share these steps and tips for others to do the same ...

May 21, 2024

IT service outages are more than a minor inconvenience. They can cost businesses millions while simultaneously leading to customer dissatisfaction and reputational damage. Moreover, the constant pressure of dealing with fire drills and escalations day and night can take a heavy toll on ITOps teams, leading to increased stress, human error, and burnout ...

May 20, 2024

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...