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AppNeta Acquires Tracelytics

AppNeta announced the acquisition of Tracelytics, a provider of full-stack, SaaS-delivered Application Performance Management (APM) solutions.

With the addition of Tracelytics, AppNeta will deliver an industry-first SaaS portfolio that includes a broad suite of End User Experience monitoring capabilities, APM services built on full-stack application tracing technology, and application-aware network performance insight.

“Tracelytics’ APM technology brings the next critical piece of the puzzle to our cloud SaaS environment and is setting a new standard for application performance management,” said Jim Melvin, CEO of AppNeta. “Their technology is a perfect companion to our network performance management solutions. Together we are providing unmatched insight to application and network operations teams that they do not have today. By coupling Tracelytics’ technology with our existing cloud services platform, we are accelerating time to value for our ever-increasing customer base.”

The acquisition of Tracelytics strengthens AppNeta’s approach to application and network performance management as it offers a 360 degree view into the network and the key applications running on it.

AppNeta’s cloud-delivered PathView Cloud service offers integrated insight from every element of the network performance stack: path, packet, flow and device. This complete, integrated suite delivered from the cloud offers thousands of global customers the fastest time to resolution in the industry and superior End User Experience monitoring.

“We are excited to bring our customers full-stack performance insight to both the core application performance and the end user’s experience for today’s distributed application architectures.” said John Vigeant, CEO of Tracelytics. “But without the corresponding deep network performance visibility, they can’t fully understand and solve problems in the complete application delivery chain. Together with AppNeta, we can now answer these questions.”

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AppNeta Acquires Tracelytics

AppNeta announced the acquisition of Tracelytics, a provider of full-stack, SaaS-delivered Application Performance Management (APM) solutions.

With the addition of Tracelytics, AppNeta will deliver an industry-first SaaS portfolio that includes a broad suite of End User Experience monitoring capabilities, APM services built on full-stack application tracing technology, and application-aware network performance insight.

“Tracelytics’ APM technology brings the next critical piece of the puzzle to our cloud SaaS environment and is setting a new standard for application performance management,” said Jim Melvin, CEO of AppNeta. “Their technology is a perfect companion to our network performance management solutions. Together we are providing unmatched insight to application and network operations teams that they do not have today. By coupling Tracelytics’ technology with our existing cloud services platform, we are accelerating time to value for our ever-increasing customer base.”

The acquisition of Tracelytics strengthens AppNeta’s approach to application and network performance management as it offers a 360 degree view into the network and the key applications running on it.

AppNeta’s cloud-delivered PathView Cloud service offers integrated insight from every element of the network performance stack: path, packet, flow and device. This complete, integrated suite delivered from the cloud offers thousands of global customers the fastest time to resolution in the industry and superior End User Experience monitoring.

“We are excited to bring our customers full-stack performance insight to both the core application performance and the end user’s experience for today’s distributed application architectures.” said John Vigeant, CEO of Tracelytics. “But without the corresponding deep network performance visibility, they can’t fully understand and solve problems in the complete application delivery chain. Together with AppNeta, we can now answer these questions.”

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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