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Bugsnag Launches Features Dashboard

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.

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Bugsnag Launches Features Dashboard

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.

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The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

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