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ManageEngine Launches PitStop Online IT Community

ManageEngine launched PitStop, the user community for all IT professionals.

Beyond ManageEngine product support, PitStop offers a vendor-neutral venue for IT admins, managers, directors and other IT pros to discuss IT management issues and ideas that are germane to the entire IT community.

PitStop sets itself apart from other IT communities by providing a cascading, Facebook-like wall for users to share and discuss topics and trends with the PitStop community at large. Users can also tailor PitStop to their individual interests by subscribing to specific groups and pages, enabling them to virtually collaborate, share and engage with colleagues in their domain. To keep PitStop users engaged while on the move, mobile apps for iOS and Android are available.

"IT teams drive business success, but IT pros need to refuel every now and then," said Vidya Vasu, head of the ManageEngine community. "PitStop gives them a place to hang out and exchange ideas, tools and tweaks with peers. This type of virtual collaboration and engagement is tremendously valuable inside ManageEngine, and we want to make that value available to everybody in IT, regardless of which vendors' tools are used."

PitStop is a vendor-neutral platform for users to showcase success stories and interesting IT project implementations, discuss IT pitfalls, laugh at IT bloopers and generally liven things up. PitStop will not replace the existing forums where users discuss product-specific queries. Rather, it serves as an exclusive channel where users can discuss subjects that touch their everyday lives as IT pros. The ability to subscribe to one or more user groups lets users interact with other users who share similar interests.

For ManageEngine users, PitStop serves as an IT hub where they can access other technical resources shared by product specialists and the user community in general. It includes resources such as monitoring templates, custom scripts, an MIB repository, configuration tweaks, best practices and more. The product forums let users continue to seek clarifications or solutions to product-specific queries. The blogs feature articles and updates by ManageEngine analysts and those in the industry.

"With over 30 different IT solutions and over 50 free tools and mobile apps, ManageEngine is seeing year-on-year growth rate of over 35 percent in the number of its users," said Vasu. "A lot of that growth is coming from our free tools and solutions, and PitStop complements that trend. Now, ManageEngine users and their peers have a place where they can bring IT to the table, find solutions, follow trends and talk shop."

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 ...

ManageEngine Launches PitStop Online IT Community

ManageEngine launched PitStop, the user community for all IT professionals.

Beyond ManageEngine product support, PitStop offers a vendor-neutral venue for IT admins, managers, directors and other IT pros to discuss IT management issues and ideas that are germane to the entire IT community.

PitStop sets itself apart from other IT communities by providing a cascading, Facebook-like wall for users to share and discuss topics and trends with the PitStop community at large. Users can also tailor PitStop to their individual interests by subscribing to specific groups and pages, enabling them to virtually collaborate, share and engage with colleagues in their domain. To keep PitStop users engaged while on the move, mobile apps for iOS and Android are available.

"IT teams drive business success, but IT pros need to refuel every now and then," said Vidya Vasu, head of the ManageEngine community. "PitStop gives them a place to hang out and exchange ideas, tools and tweaks with peers. This type of virtual collaboration and engagement is tremendously valuable inside ManageEngine, and we want to make that value available to everybody in IT, regardless of which vendors' tools are used."

PitStop is a vendor-neutral platform for users to showcase success stories and interesting IT project implementations, discuss IT pitfalls, laugh at IT bloopers and generally liven things up. PitStop will not replace the existing forums where users discuss product-specific queries. Rather, it serves as an exclusive channel where users can discuss subjects that touch their everyday lives as IT pros. The ability to subscribe to one or more user groups lets users interact with other users who share similar interests.

For ManageEngine users, PitStop serves as an IT hub where they can access other technical resources shared by product specialists and the user community in general. It includes resources such as monitoring templates, custom scripts, an MIB repository, configuration tweaks, best practices and more. The product forums let users continue to seek clarifications or solutions to product-specific queries. The blogs feature articles and updates by ManageEngine analysts and those in the industry.

"With over 30 different IT solutions and over 50 free tools and mobile apps, ManageEngine is seeing year-on-year growth rate of over 35 percent in the number of its users," said Vasu. "A lot of that growth is coming from our free tools and solutions, and PitStop complements that trend. Now, ManageEngine users and their peers have a place where they can bring IT to the table, find solutions, follow trends and talk shop."

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 ...