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ScienceLogic Launches App Store

ScienceLogic launched an app store providing over 1,000 technology extensions called PowerApps — free of charge to its customers. Taking cues from smartphone providers and other consumer markets, PowerApps dramatically extend the reach and functionality of ScienceLogic's core IT Monitoring product.

Traditional IT and cloud monitoring products deliver only core functionality out of the box. Adding support for additional software and hardware technologies requires custom development by the vendor that takes months to complete per integration, and often costs hundreds of thousands of dollars. With the ScienceLogic App Store, more than 1,000 PowerApps are provided free of charge. Many of these Apps were developed by or in tandem with ScienceLogic's large community of users. The PowerApps offer customers IT agility, flexibility, extensibility, ease of use, and cost savings.

Each app serves a specific customization requirement. Once they are powered up, they are automatically integrated into the customer's ScienceLogic software platform. Packs of related PowerApps include dashboards, collection rules, reports and automations, delivering value the instant they are deployed.

Customer Benefits Include:

- Free product extensions: For ScienceLogic users, there is no charge for the PowerApps and they can be downloaded from the company's Customer Portal.

- Time Saving: Apps save time from integration-build headaches. Users are able to complete more integrations at a much faster pace.

- Instant visibility: With over 1,000+ Apps, one can truly monitor 'The Internet of Everything.' Chances are good that an App already exists for any specific monitoring requirement.

- Self-Starting: PowerApps are easily accessible and customizable, and constantly updated by real world professionals. For users who want to go even faster and/or create competitive barriers for their business by leveraging their own internal monitoring best practices and establish intellectual property (IP) -- they can create their own PowerApps in minutes with 'drag-and-drop' functionality. Architecturally open and extendible, users can install, edit or delete existing PowerApps in minutes.

- Improved IT Performance: With each PowerApp, customers get even more automated and instant visibility of the IT infrastructure, delivering instant operational awareness for their IT environments.

- Holistic Management: Users can download multiple PowerApps to manage a complete technology end-to-end. For example, to manage SharePoint, users can download multiple PowerApps that provide total SharePoint visibility and monitoring at the application, server and network levels.

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 ...

ScienceLogic Launches App Store

ScienceLogic launched an app store providing over 1,000 technology extensions called PowerApps — free of charge to its customers. Taking cues from smartphone providers and other consumer markets, PowerApps dramatically extend the reach and functionality of ScienceLogic's core IT Monitoring product.

Traditional IT and cloud monitoring products deliver only core functionality out of the box. Adding support for additional software and hardware technologies requires custom development by the vendor that takes months to complete per integration, and often costs hundreds of thousands of dollars. With the ScienceLogic App Store, more than 1,000 PowerApps are provided free of charge. Many of these Apps were developed by or in tandem with ScienceLogic's large community of users. The PowerApps offer customers IT agility, flexibility, extensibility, ease of use, and cost savings.

Each app serves a specific customization requirement. Once they are powered up, they are automatically integrated into the customer's ScienceLogic software platform. Packs of related PowerApps include dashboards, collection rules, reports and automations, delivering value the instant they are deployed.

Customer Benefits Include:

- Free product extensions: For ScienceLogic users, there is no charge for the PowerApps and they can be downloaded from the company's Customer Portal.

- Time Saving: Apps save time from integration-build headaches. Users are able to complete more integrations at a much faster pace.

- Instant visibility: With over 1,000+ Apps, one can truly monitor 'The Internet of Everything.' Chances are good that an App already exists for any specific monitoring requirement.

- Self-Starting: PowerApps are easily accessible and customizable, and constantly updated by real world professionals. For users who want to go even faster and/or create competitive barriers for their business by leveraging their own internal monitoring best practices and establish intellectual property (IP) -- they can create their own PowerApps in minutes with 'drag-and-drop' functionality. Architecturally open and extendible, users can install, edit or delete existing PowerApps in minutes.

- Improved IT Performance: With each PowerApp, customers get even more automated and instant visibility of the IT infrastructure, delivering instant operational awareness for their IT environments.

- Holistic Management: Users can download multiple PowerApps to manage a complete technology end-to-end. For example, to manage SharePoint, users can download multiple PowerApps that provide total SharePoint visibility and monitoring at the application, server and network levels.

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 ...