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LambdaTest Integrates with New Relic

LambdaTest announced an integration with New Relic to help bridge the gap between testing and performance monitoring.

This integration empowers software engineering, quality assurance, and DevOps teams to visualize and understand their digital experience testing metrics in real-time by providing a single view of their LambdaTest results alongside performance insights from across the entire software stack—all within the New Relic observability platform. With the ability to optimize and monitor automated test execution results, technical teams gain deeper insights into automation scripts that enable them to deliver high-quality products at an accelerated pace.

To address the need for observability in test execution data and analytics, this integration arms engineering teams with actionable insights to efficiently address automation script issues, reduce testing bottlenecks, and optimize software performance. This allows organizations to ensure fast and reliable application delivery, so they can produce better digital experiences for their customers—before it impacts their bottom line.

The LambdaTest and New Relic integration allow users to:

- Proactively improve digital experiences with a pre-built, curated New Relic dashboard to monitor key metrics such as test executions, durations, failure rates, and errors.

- Accelerate troubleshooting with deeper insights into test failures, anomalies, and environments where errors occurred.

- Build better cross-platform experiences by gaining insights on website and application compatibility and functionality across thousands of different browsers and devices.

“In our digital-first world, poor user experiences are more than just an annoyance—they have the power to cause significant loss in revenue,” said Manav Khurana, Chief Product Officer at New Relic. "With the LambdaTest integration for New Relic, we’re combining the power to automate digital experience testing with our unified telemetry and all-in-one observability platform—so organizations can optimize their digital experiences, without needing multiple tools to monitor the rest of their software stack.”

Mayank Bhola, Co-Founder and Head of Product at LambdaTest stated, "This integration is not just a technical enhancement but a strategic move towards empowering businesses with data-driven decision-making. The combined strength of LambdaTest and New Relic ensures that businesses can deliver high-quality software at a faster pace, ultimately contributing to their bottom line."

This integration is now available to all LambdaTest users and all New Relic full platform users at no additional cost. To get started, check out the LambdaTest quickstart integration for New Relic.

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LambdaTest Integrates with New Relic

LambdaTest announced an integration with New Relic to help bridge the gap between testing and performance monitoring.

This integration empowers software engineering, quality assurance, and DevOps teams to visualize and understand their digital experience testing metrics in real-time by providing a single view of their LambdaTest results alongside performance insights from across the entire software stack—all within the New Relic observability platform. With the ability to optimize and monitor automated test execution results, technical teams gain deeper insights into automation scripts that enable them to deliver high-quality products at an accelerated pace.

To address the need for observability in test execution data and analytics, this integration arms engineering teams with actionable insights to efficiently address automation script issues, reduce testing bottlenecks, and optimize software performance. This allows organizations to ensure fast and reliable application delivery, so they can produce better digital experiences for their customers—before it impacts their bottom line.

The LambdaTest and New Relic integration allow users to:

- Proactively improve digital experiences with a pre-built, curated New Relic dashboard to monitor key metrics such as test executions, durations, failure rates, and errors.

- Accelerate troubleshooting with deeper insights into test failures, anomalies, and environments where errors occurred.

- Build better cross-platform experiences by gaining insights on website and application compatibility and functionality across thousands of different browsers and devices.

“In our digital-first world, poor user experiences are more than just an annoyance—they have the power to cause significant loss in revenue,” said Manav Khurana, Chief Product Officer at New Relic. "With the LambdaTest integration for New Relic, we’re combining the power to automate digital experience testing with our unified telemetry and all-in-one observability platform—so organizations can optimize their digital experiences, without needing multiple tools to monitor the rest of their software stack.”

Mayank Bhola, Co-Founder and Head of Product at LambdaTest stated, "This integration is not just a technical enhancement but a strategic move towards empowering businesses with data-driven decision-making. The combined strength of LambdaTest and New Relic ensures that businesses can deliver high-quality software at a faster pace, ultimately contributing to their bottom line."

This integration is now available to all LambdaTest users and all New Relic full platform users at no additional cost. To get started, check out the LambdaTest quickstart integration for New Relic.

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In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...