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ScienceLogic Updates AIOps Platform

ScienceLogic announced a series of key updates to its AIOps platform to deliver enhanced reliability and security, enterprise enablement, third-party integration, improved user experience, and greater support for data center needs.

The updates include a new integration with Cisco Intersight to enable seamless support for the data center server market, OAuth2.0 security for key ServiceNow Syncpacks, the ability to create Dynamic Applications using the low-code Snippet Framework, and more.

“The latest updates to the ScienceLogic platform demonstrate our commitment to providing our customers with exceptional user experiences by continually enhancing the utility, reliability, and security of the platform,” said Michael Nappi, chief product officer at ScienceLogic. ”As technology continues to evolve at an unprecedented rate and the data center market expands rapidly, we’re pleased to offer the tools necessary to support the needs of a growing base of users.”

Key elements of the updates include:

- New integration with Cisco Intersight to support data center server market: The ScienceLogic platform now integrates with Cisco Intersight, Cisco’s latest data center management tool. This integration enables monitoring of a variety of Cisco server types and will replace existing Server PowerPacks as Cisco transitions to Cisco Intersight. Developed in collaboration with CDW’s Managed Services team, this integration enables customers using unified computer system (UCS) PowerPacks to seamlessly monitor servers in Intersight Managed Mode for Configuration Management Database (CMDB) discovery, providing support for a significant portion of the data center server market.

- Elevated security and system performance with ServiceNow Syncpacks support: The updates to the ScienceLogic platform include upleveled security enhancements designed to protect users’ data and strengthen integration capabilities. By incorporating OAuth2.0, the industry-standard protocol for authorization, users can securely access information hosted by external and third-party web apps. This strengthened security is available for several key ServiceNow Syncpacks, including CMDB, Events, SGC (Service Graph Connector), Catalog, Change, and INC (Incident). With these security features, ScienceLogic has also rolled out multiple package updates to boost system performance, enabling back-end terminals multiplexers (tmux) to run by default to deliver increased reliability and security.

- Updated Dynamic Application Builder (DAB) for enterprise enablement: ScienceLogic’s platform updates have also introduced the latest release of their Dynamic Application Builder (DAB) 1.1, empowering users to create Dynamic Applications using the low-code Snippet Framework entirely outside of the ScienceLogic platform so that it can perform as a standalone desktop application capable of being installed and operated independently on local machines. This update brings significant enhancements including a streamlined user interface and bug fixes to the standalone desktop application to improve user experience. The tool is designed for new and intermediate platform users, allowing them to create Dynamic Applications to poll secure systems like RESTful APIs for configuration data with minimal technical knowledge. The application requires only Docker Desktop to run, enabling users to independently install and operate locally within minutes.

- Improved user experience: Significant enhancements to the user experience on the ScienceLogic SL1 platform, designed to provide more flexibility, improved organization, and streamlined interfaces. One of the key updates is the introduction of a new custom dashboard widget type for HTML content. This allows users to create personalized and informative dashboards tailored to their specific needs. Additionally, the platform now offers custom device investigator layouts and alignments, enabling users to customize the layout and alignment of the Device Investigator for better clarity and focus on critical information. This aids in quicker diagnosis and resolution of issues.

Another major enhancement is the new masked events modal, which streamlines the user experience by providing a more organized and accessible way to manage and view events. This ensures that users can easily track and respond to events with minimal effort. Improvements to the Service Investigator page further enhance usability and efficiency, enabling users to investigate service-related issues more effectively. We have also updated default service policies and interface dashboard widgets to align with best practices and user feedback, providing a more intuitive starting point for all users. Moreover, users can now edit, copy, and rename their Device Investigator layouts, promoting better organization and faster access to the most relevant data.

- SL1 Performance Improvements: Upgrade from OL7 to OL8: ScienceLogic is proud to announce significant performance improvements in its SL1 platform following an upgrade from OL7 to OL8. This upgrade has resulted in a 31% enhancement in CPU performance, with a 34% reduction in CPU usage during data pulls and a 19% decrease in CPU usage for WMI processes. Additionally, SQL query responses are now 14% faster, further boosting data processing efficiency. The SL1 applications have also seen substantial gains. Execution times for large SQL queries have been dramatically reduced from over 4 minutes to less than 60 seconds. Performance improvements are evident in large business services as well, with the time to open 7,000 business services dropping from over 70 seconds to under 10 seconds. The AP2 user interface page response times have been significantly enhanced, and the UI and topology rendering times have been reduced to under 5 seconds at scale.

The Latest

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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 Updates AIOps Platform

ScienceLogic announced a series of key updates to its AIOps platform to deliver enhanced reliability and security, enterprise enablement, third-party integration, improved user experience, and greater support for data center needs.

The updates include a new integration with Cisco Intersight to enable seamless support for the data center server market, OAuth2.0 security for key ServiceNow Syncpacks, the ability to create Dynamic Applications using the low-code Snippet Framework, and more.

“The latest updates to the ScienceLogic platform demonstrate our commitment to providing our customers with exceptional user experiences by continually enhancing the utility, reliability, and security of the platform,” said Michael Nappi, chief product officer at ScienceLogic. ”As technology continues to evolve at an unprecedented rate and the data center market expands rapidly, we’re pleased to offer the tools necessary to support the needs of a growing base of users.”

Key elements of the updates include:

- New integration with Cisco Intersight to support data center server market: The ScienceLogic platform now integrates with Cisco Intersight, Cisco’s latest data center management tool. This integration enables monitoring of a variety of Cisco server types and will replace existing Server PowerPacks as Cisco transitions to Cisco Intersight. Developed in collaboration with CDW’s Managed Services team, this integration enables customers using unified computer system (UCS) PowerPacks to seamlessly monitor servers in Intersight Managed Mode for Configuration Management Database (CMDB) discovery, providing support for a significant portion of the data center server market.

- Elevated security and system performance with ServiceNow Syncpacks support: The updates to the ScienceLogic platform include upleveled security enhancements designed to protect users’ data and strengthen integration capabilities. By incorporating OAuth2.0, the industry-standard protocol for authorization, users can securely access information hosted by external and third-party web apps. This strengthened security is available for several key ServiceNow Syncpacks, including CMDB, Events, SGC (Service Graph Connector), Catalog, Change, and INC (Incident). With these security features, ScienceLogic has also rolled out multiple package updates to boost system performance, enabling back-end terminals multiplexers (tmux) to run by default to deliver increased reliability and security.

- Updated Dynamic Application Builder (DAB) for enterprise enablement: ScienceLogic’s platform updates have also introduced the latest release of their Dynamic Application Builder (DAB) 1.1, empowering users to create Dynamic Applications using the low-code Snippet Framework entirely outside of the ScienceLogic platform so that it can perform as a standalone desktop application capable of being installed and operated independently on local machines. This update brings significant enhancements including a streamlined user interface and bug fixes to the standalone desktop application to improve user experience. The tool is designed for new and intermediate platform users, allowing them to create Dynamic Applications to poll secure systems like RESTful APIs for configuration data with minimal technical knowledge. The application requires only Docker Desktop to run, enabling users to independently install and operate locally within minutes.

- Improved user experience: Significant enhancements to the user experience on the ScienceLogic SL1 platform, designed to provide more flexibility, improved organization, and streamlined interfaces. One of the key updates is the introduction of a new custom dashboard widget type for HTML content. This allows users to create personalized and informative dashboards tailored to their specific needs. Additionally, the platform now offers custom device investigator layouts and alignments, enabling users to customize the layout and alignment of the Device Investigator for better clarity and focus on critical information. This aids in quicker diagnosis and resolution of issues.

Another major enhancement is the new masked events modal, which streamlines the user experience by providing a more organized and accessible way to manage and view events. This ensures that users can easily track and respond to events with minimal effort. Improvements to the Service Investigator page further enhance usability and efficiency, enabling users to investigate service-related issues more effectively. We have also updated default service policies and interface dashboard widgets to align with best practices and user feedback, providing a more intuitive starting point for all users. Moreover, users can now edit, copy, and rename their Device Investigator layouts, promoting better organization and faster access to the most relevant data.

- SL1 Performance Improvements: Upgrade from OL7 to OL8: ScienceLogic is proud to announce significant performance improvements in its SL1 platform following an upgrade from OL7 to OL8. This upgrade has resulted in a 31% enhancement in CPU performance, with a 34% reduction in CPU usage during data pulls and a 19% decrease in CPU usage for WMI processes. Additionally, SQL query responses are now 14% faster, further boosting data processing efficiency. The SL1 applications have also seen substantial gains. Execution times for large SQL queries have been dramatically reduced from over 4 minutes to less than 60 seconds. Performance improvements are evident in large business services as well, with the time to open 7,000 business services dropping from over 70 seconds to under 10 seconds. The AP2 user interface page response times have been significantly enhanced, and the UI and topology rendering times have been reduced to under 5 seconds at scale.

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 ...