GFI Software announced that GFI EventsManager now includes the established active network and server monitoring capabilities found in the company’s NetworkServerMonitor solution.
This new functionality, combined with GFI EventsManager’s existing log management capabilities, gives IT administrators a holistic view of their infrastructure’s performance.
Active network and server monitoring provides real-time, active monitoring of assets, network infrastructure, applications and services. These advanced monitoring checks work in conjunction with GFI EventsManager’s log-based monitoring system to track different operational aspects of the IT environment, including the functionality and availability of network protocols, performance of network devices, and usage and performance of server and infrastructure services. This combination of features also equips admins with the information required to quickly and easily troubleshoot incidents reported by the active monitoring system.
“Network infrastructure requires permanent monitoring and maintenance to function appropriately,” said Calin Ghibu, product manager at GFI Software. “The last thing resource-constrained IT departments need is to track different management solutions for different IT assets. Not only can this become costly, but it takes up valuable time and resources as well. GFI EventsManager equips IT managers with additional tools to manage and monitor the network infrastructure’s performance – and does so at price point they can afford and with a level of simplicity that allows them to reallocate resources to other pressing tasks.”
The latest version of GFI EventsManager also includes enhanced console security to help companies comply with industry guidelines requiring that data access is granted on a “need-to-know” basis. IT admins can now enforce discretionary data access by assigning specific computers to each EventsManager user. By doing so, IT can grant users admission into the GFI EventsManager console while limiting their access to only the configuration, reporting and log browsing data coming from the computers they manage.
Additional features in the latest version of GFI EventsManager include:
· Flexible storage options – EventsManager’s database has been enhanced to include physical deletion of event logs in a secure and audited manner. This new feature frees up disk space occupied by deleted events. Adding another layer of flexible storage, IT admins now also have the ability to log data directly to remote storage for data centralization purposes.
· Anti-tampering protection – In addition to encrypted storage and controlled access to data within the EventsManager console, the solution also now includes the ability to hash log data to further protect against attempts to damage log data from outside the product.
· Log support by default – Anew XML parsing schema, available by default, enables admins to collect, analyze, interpret and store data contained in XML files. An added DHCP text log parsing schema enables audit and monitoring of DHCP IP assignments on Windows DHCP servers.
· Import/export functionality – EventsManager now includes the ability to import and export events to/from other EventsManager databases based on a schedule, as well as optionally based on filters. IT admins can now move event data between two databases as well.
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 ...