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Embrace Launches Network Watchdog

Embrace launched Network Watchdog, a network monitoring and reporting solution to provide its customers with transparency into application issues.

By using Watchdog by Embrace, the endpoint is measured by how the mobile users' experience the app, and errors and issues are uncovered that cannot be detected from the server-side.

Embrace's new networking dashboard details a mobile app's networking performance, all in one place, surfacing top erroring and slowest calls from all the app's APIs and third-party SDKs. Customers can easily click into any path to see all the users and sessions affected by those calls. Detailed session timelines reproduce exactly where failed calls occur in the user's experience, and whether that user was noticeably affected.

Key features of Embrace's Network Monitoring Dashboards include:

- The ability to solve unresolved crashes for which a trace is not helpful but every single network call would resolve.

- Unsampled tracking of every single network call whether 1st-party API, CDN, or 3rd-party SDK.

- All network errors before they even reach the server so that no error is dropped.

- Automatic insights into which calls most frequently error or are slow to help prioritize which issues to resolve first.

- Clickable workflows into any domain to view every single path belonging to that domain and all the network calls in a given session.

- Alerts by Slack and email on spikes in network errors to catch network outages before end users do. Know when an API changes or errors or a vendor, especially attribution or analytics, is down.

More than 15% of users have suboptimal experiences directly tied to app performance, and while many users complain of “crashes,” almost all of these issues are not true app crashes. Embrace's platform analyzes and replays the details of every single user session to more accurately and quickly detect, diagnose and resolve any user-impacting issues. The platform typically uncovers 5X more issues than previously known by mobile teams and app developers.

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Embrace Launches Network Watchdog

Embrace launched Network Watchdog, a network monitoring and reporting solution to provide its customers with transparency into application issues.

By using Watchdog by Embrace, the endpoint is measured by how the mobile users' experience the app, and errors and issues are uncovered that cannot be detected from the server-side.

Embrace's new networking dashboard details a mobile app's networking performance, all in one place, surfacing top erroring and slowest calls from all the app's APIs and third-party SDKs. Customers can easily click into any path to see all the users and sessions affected by those calls. Detailed session timelines reproduce exactly where failed calls occur in the user's experience, and whether that user was noticeably affected.

Key features of Embrace's Network Monitoring Dashboards include:

- The ability to solve unresolved crashes for which a trace is not helpful but every single network call would resolve.

- Unsampled tracking of every single network call whether 1st-party API, CDN, or 3rd-party SDK.

- All network errors before they even reach the server so that no error is dropped.

- Automatic insights into which calls most frequently error or are slow to help prioritize which issues to resolve first.

- Clickable workflows into any domain to view every single path belonging to that domain and all the network calls in a given session.

- Alerts by Slack and email on spikes in network errors to catch network outages before end users do. Know when an API changes or errors or a vendor, especially attribution or analytics, is down.

More than 15% of users have suboptimal experiences directly tied to app performance, and while many users complain of “crashes,” almost all of these issues are not true app crashes. Embrace's platform analyzes and replays the details of every single user session to more accurately and quickly detect, diagnose and resolve any user-impacting issues. The platform typically uncovers 5X more issues than previously known by mobile teams and app developers.

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...