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Logentries Releases Pixel Tracking to Improve Application and Website Performance

Logentries launched new pixel image tracking for monitoring and analyzing website and application user behavior.

With this free service extension, Logentries users can more fully understand and optimize user experiences in real-time and obtain deep insights into how their applications and websites are performing.

Many organizations today lack visibility into the actual activities and events of a website visitor or an application user. From page load time, to specific user actions, to application performance problems, business managers and IT operations need to have a detailed understanding of what is happening online with their end users. Key metrics beyond visits, page views and summary click information are required to fully understand and improve application performance.

“As the traditional barriers between development, operations and sales and marketing continue to dissolve, organizations are recognizing operational data and application insights need to be accessible and shared across job functions,” said Andrew Burton, CEO and President of Logentries. “With Logentries, the value and benefits of log data is no longer limited to developers and IT staff. New capabilities such as pixel tracking for improving application performance highlight how log analytics can be used by virtually anyone.”

Unlike traditional client-side JavaScript logging, the Logentries service features pixel tracking to support encoded payloads of event information, enabling users to precisely track and monitor visitors across websites and within applications. By creating unique payloads attached to the URL of a pixel image loaded in a user’s browser, the pixel tracking feature easily tracks what a visitor is doing, where they are clicking, and their referral identification.

Multiple image tags can be used to control what data is captured and where it is sent to within the Logentries service. This incoming data is centralized and tracked to monitor and trend activity, and to trigger customized notifications about specific events and performance issues. With this log data insight, users understand website visitor behavior, such as the flow of the visitor across the site, as well as persistent performance issues including page load time or broken application features.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Logentries Releases Pixel Tracking to Improve Application and Website Performance

Logentries launched new pixel image tracking for monitoring and analyzing website and application user behavior.

With this free service extension, Logentries users can more fully understand and optimize user experiences in real-time and obtain deep insights into how their applications and websites are performing.

Many organizations today lack visibility into the actual activities and events of a website visitor or an application user. From page load time, to specific user actions, to application performance problems, business managers and IT operations need to have a detailed understanding of what is happening online with their end users. Key metrics beyond visits, page views and summary click information are required to fully understand and improve application performance.

“As the traditional barriers between development, operations and sales and marketing continue to dissolve, organizations are recognizing operational data and application insights need to be accessible and shared across job functions,” said Andrew Burton, CEO and President of Logentries. “With Logentries, the value and benefits of log data is no longer limited to developers and IT staff. New capabilities such as pixel tracking for improving application performance highlight how log analytics can be used by virtually anyone.”

Unlike traditional client-side JavaScript logging, the Logentries service features pixel tracking to support encoded payloads of event information, enabling users to precisely track and monitor visitors across websites and within applications. By creating unique payloads attached to the URL of a pixel image loaded in a user’s browser, the pixel tracking feature easily tracks what a visitor is doing, where they are clicking, and their referral identification.

Multiple image tags can be used to control what data is captured and where it is sent to within the Logentries service. This incoming data is centralized and tracked to monitor and trend activity, and to trigger customized notifications about specific events and performance issues. With this log data insight, users understand website visitor behavior, such as the flow of the visitor across the site, as well as persistent performance issues including page load time or broken application features.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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 ...