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Logentries Introduces Real-Time User Monitoring With Auto-Log Tracking

Logentries, a SaaS service for log management and real-time analytics, is extending its web application monitoring service with auto-logging capabilities for tracking user behavior and activity.

With up-to-the-second visibility into exactly what individual users are doing, customers can understand the end-to-end user experience, and correlate additional payload data such as performance and business metrics to easily identify trends or issues. In addition to the individual user session tracking, customers can analyze by activity or user segment to better understand user behavior and application performance, with the option to drill-down to examine specific events or performance metrics as needed.

The Logentries real-time user monitoring capability uses client side libraries (supporting iOS, Android, HTML5, JavaScript and Windows Mobile) to gather event data from a user’s browser or client device, and sends it directly to the Logentries service. Unlike traditional web analytics tools that only show high level aggregate views of visitor activity, Logentries enables customers to track events at the individual user level, capturing specific event activity in real-time. Logentries also allows customers to include custom payload information in order to capture performance and business-related information on specified user events. With this breadth of log data captured, for example, customers can associate the context of logged user events with relevant metrics such as response time or the monetary value of a given user action.

“This is an exciting technology that enables our customers to understand their users’ experience and behavior, in real-time as the events occur on their websites, and in their web applications,” said Dr. Trevor Parsons, Logentries Co-founder and Chief Scientist. “It is a great example of using logs as data and is more flexible and scalable than traditional web analytics tools. We set this up internally in minutes and are now using it to understand which features customers are using and if individual users are experiencing any performance issues.”

Logentries is featuring the auto-log capability in its internal sign-up process for all new users. Once a new user has started a free account, an auto-log is immediately created and begins capturing an audit trail of the user’s own activity.

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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 Introduces Real-Time User Monitoring With Auto-Log Tracking

Logentries, a SaaS service for log management and real-time analytics, is extending its web application monitoring service with auto-logging capabilities for tracking user behavior and activity.

With up-to-the-second visibility into exactly what individual users are doing, customers can understand the end-to-end user experience, and correlate additional payload data such as performance and business metrics to easily identify trends or issues. In addition to the individual user session tracking, customers can analyze by activity or user segment to better understand user behavior and application performance, with the option to drill-down to examine specific events or performance metrics as needed.

The Logentries real-time user monitoring capability uses client side libraries (supporting iOS, Android, HTML5, JavaScript and Windows Mobile) to gather event data from a user’s browser or client device, and sends it directly to the Logentries service. Unlike traditional web analytics tools that only show high level aggregate views of visitor activity, Logentries enables customers to track events at the individual user level, capturing specific event activity in real-time. Logentries also allows customers to include custom payload information in order to capture performance and business-related information on specified user events. With this breadth of log data captured, for example, customers can associate the context of logged user events with relevant metrics such as response time or the monetary value of a given user action.

“This is an exciting technology that enables our customers to understand their users’ experience and behavior, in real-time as the events occur on their websites, and in their web applications,” said Dr. Trevor Parsons, Logentries Co-founder and Chief Scientist. “It is a great example of using logs as data and is more flexible and scalable than traditional web analytics tools. We set this up internally in minutes and are now using it to understand which features customers are using and if individual users are experiencing any performance issues.”

Logentries is featuring the auto-log capability in its internal sign-up process for all new users. Once a new user has started a free account, an auto-log is immediately created and begins capturing an audit trail of the user’s own activity.

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 ...