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ServiceNow June11 Release Delivers Social IT and New User Interface

ServiceNow announced the immediate availability of its June11 release introducing more social IT, a new runbook automation process pack for Amazon EC2 cloud, more updates to ServiceNow IT service management (ITSM) platform services, and two completely new applications.

The June11 release builds on the concept of IT 3.0 introduced in the ServiceNow Winter 2011 release. The ServiceNow vision for IT 3.0 delivers technology that is more practical and people centric to make evolved IT process possible. IT 3.0 is familiar usability, cloud services and social IT, bringing together technology, process and people to transform IT. The ServiceNow June11 release helps customers take another big step toward IT 3.0.

The June11 release extends ServiceNow Live (initially released in February) to allow for groups, follows, and tagging. The stream of actionable information in ServiceNow Live forms a living and breathing knowledge source that moves at the speed of the people using it. This knowledge collective can be shared, searched, tagged, grouped, subscribed, liked and linked as individual users personalize information to work for them. ServiceNow Live also creates an invaluable source of data allowing IT to track, analyze and act upon trending issues and topics.

The June11 release also delivers UI11 as a new user experience, and a new IT search engine for faster, more scalable and configurable IT search. UI11 simplifies the ServiceNow user experience by accommodating more information within the browser while making the information that matters most to the user immediately available. UI11 introduces flexible panes within the browser in addition to sidebar bookmarks and "flyout" functionality for services like ServiceNow Chat.

The June11 release continues to build on the core ServiceNow ITSM foundation and includes improvements to change management risk assessment and to the service level agreement management engine. New change management risk assessment surveys based on configuration item data and relationships in the ServiceNow CMDB help change managers and change advisory boards more accurately gauge change risk. Survey results are included in change records for a clear audit trail.

Meanwhile, SLA management enhancements allow customers to further customize and extend SLA logic without impacting other IT management processes.

As part of the June11 release, the following components of the ServiceNow platform have been significantly enhanced:

* IT Governance, Risk and Compliance (IT-GRC): create policy maps and track audit observations.

* Runbook Automation Process Pack for Amazon EC2: adds to current IT automation capabilities for VMWare and PowerShell.

* BSM maps, ODBC performance, list editor navigation, planned task simplification, workflow, condition builder, additional integration capabilities, and more.

ServiceNow offers a simple-yet-flexible subscription model with volume discounts available. ServiceNow has delivered three major releases per year for more than five years to provide customers with the leading SaaS for IT. Thousands of ServiceNow customer instances were seamlessly updated with the June11 release on June 3, 2011. Through the release update, customer customizations and configurations were preserved and service availability remained uninterrupted.

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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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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 ...

ServiceNow June11 Release Delivers Social IT and New User Interface

ServiceNow announced the immediate availability of its June11 release introducing more social IT, a new runbook automation process pack for Amazon EC2 cloud, more updates to ServiceNow IT service management (ITSM) platform services, and two completely new applications.

The June11 release builds on the concept of IT 3.0 introduced in the ServiceNow Winter 2011 release. The ServiceNow vision for IT 3.0 delivers technology that is more practical and people centric to make evolved IT process possible. IT 3.0 is familiar usability, cloud services and social IT, bringing together technology, process and people to transform IT. The ServiceNow June11 release helps customers take another big step toward IT 3.0.

The June11 release extends ServiceNow Live (initially released in February) to allow for groups, follows, and tagging. The stream of actionable information in ServiceNow Live forms a living and breathing knowledge source that moves at the speed of the people using it. This knowledge collective can be shared, searched, tagged, grouped, subscribed, liked and linked as individual users personalize information to work for them. ServiceNow Live also creates an invaluable source of data allowing IT to track, analyze and act upon trending issues and topics.

The June11 release also delivers UI11 as a new user experience, and a new IT search engine for faster, more scalable and configurable IT search. UI11 simplifies the ServiceNow user experience by accommodating more information within the browser while making the information that matters most to the user immediately available. UI11 introduces flexible panes within the browser in addition to sidebar bookmarks and "flyout" functionality for services like ServiceNow Chat.

The June11 release continues to build on the core ServiceNow ITSM foundation and includes improvements to change management risk assessment and to the service level agreement management engine. New change management risk assessment surveys based on configuration item data and relationships in the ServiceNow CMDB help change managers and change advisory boards more accurately gauge change risk. Survey results are included in change records for a clear audit trail.

Meanwhile, SLA management enhancements allow customers to further customize and extend SLA logic without impacting other IT management processes.

As part of the June11 release, the following components of the ServiceNow platform have been significantly enhanced:

* IT Governance, Risk and Compliance (IT-GRC): create policy maps and track audit observations.

* Runbook Automation Process Pack for Amazon EC2: adds to current IT automation capabilities for VMWare and PowerShell.

* BSM maps, ODBC performance, list editor navigation, planned task simplification, workflow, condition builder, additional integration capabilities, and more.

ServiceNow offers a simple-yet-flexible subscription model with volume discounts available. ServiceNow has delivered three major releases per year for more than five years to provide customers with the leading SaaS for IT. Thousands of ServiceNow customer instances were seamlessly updated with the June11 release on June 3, 2011. Through the release update, customer customizations and configurations were preserved and service availability remained uninterrupted.

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 ...