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Sensu Go 5.2 Released

Sensu released Sensu Go 5.2, a scalable, powerful and user-centric monitoring event pipeline, designed to improve visibility and streamline workflows for enterprises.

Sensu empowers businesses to gain deep visibility into their infrastructure, from Kubernetes to bare metal, providing a single source of truth among application and infrastructure monitoring tools.

With a distributed architecture, updated dashboard, a newly designed API, direct support for automated and live deployment of monitoring plugins to traditional and cloud-native environments, and designed with Kubernetes in mind, Sensu Go brings an elevated level of flexibility and integration for enterprises. Sensu Go supports integration of industry standard formats, including Prometheus, StatsD and Nagios, as well as integration with enterprise products such as Splunk, Elastic, ServiceNow, Slack, InfluxDB and more.

“Sensu Go empowers businesses to automate their monitoring workflows, offering a comprehensive monitoring solution for their entire infrastructure,” said Caleb Hailey, CEO of Sensu. “This latest release features human-centered design, with an emphasis on ease of use and quick time to value.”

Sensu Go is built to scale, offering more flexibility when integrating Sensu into existing infrastructure. Notable new enterprise and open source features include:

- Updated Sensu dashboard - As a one-stop-shop interface, the new Sensu dashboard brings plug-and-play functionality for Sensu by adding the ability to include additional modules for extra visibility and data cohesion.

- New, versioned API - Redesigned to be future-forward and establish a stable API contract, the new API is powerful enough to configure the entire Sensu Go instance and built to enable users who want to extend Sensu capabilities.

- Server and agent assets - Sensu Go now provides direct support for downloading and installing server plugins and agent plugins with no additional tooling; i.e., no dependency on configuration management or custom Docker images.

- Namespaces and RBAC - Sensu Go introduces the ability to configure unique namespaces and their resources in a shared environment, with built-in role-based access controls (RBAC) for granular management of who gets access to what.

- Lightweight Directory Access Protocol (LDAP) (enterprise only) - A security requirement for most enterprises, LDAP offers organizations a security-team-approved way to interact with Sensu.

- ServiceNow integration (enterprise only) - ServiceNow is widely used by enterprises and heavily used by operators. The ServiceNow handler is a Sensu event handler that creates or updates ServiceNow configuration items, incidents and events.

- Jira integration (enterprise only) - Jira is Atlassian’s issue and project tracking software and another enterprise solution request by the Sensu community. The Jira handler, also a Sensu event handler, creates and updates Jira issues.

- Commercial support for Sensu Go - Sensu offers varying degrees of support depending on business size and needs.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...

Sensu Go 5.2 Released

Sensu released Sensu Go 5.2, a scalable, powerful and user-centric monitoring event pipeline, designed to improve visibility and streamline workflows for enterprises.

Sensu empowers businesses to gain deep visibility into their infrastructure, from Kubernetes to bare metal, providing a single source of truth among application and infrastructure monitoring tools.

With a distributed architecture, updated dashboard, a newly designed API, direct support for automated and live deployment of monitoring plugins to traditional and cloud-native environments, and designed with Kubernetes in mind, Sensu Go brings an elevated level of flexibility and integration for enterprises. Sensu Go supports integration of industry standard formats, including Prometheus, StatsD and Nagios, as well as integration with enterprise products such as Splunk, Elastic, ServiceNow, Slack, InfluxDB and more.

“Sensu Go empowers businesses to automate their monitoring workflows, offering a comprehensive monitoring solution for their entire infrastructure,” said Caleb Hailey, CEO of Sensu. “This latest release features human-centered design, with an emphasis on ease of use and quick time to value.”

Sensu Go is built to scale, offering more flexibility when integrating Sensu into existing infrastructure. Notable new enterprise and open source features include:

- Updated Sensu dashboard - As a one-stop-shop interface, the new Sensu dashboard brings plug-and-play functionality for Sensu by adding the ability to include additional modules for extra visibility and data cohesion.

- New, versioned API - Redesigned to be future-forward and establish a stable API contract, the new API is powerful enough to configure the entire Sensu Go instance and built to enable users who want to extend Sensu capabilities.

- Server and agent assets - Sensu Go now provides direct support for downloading and installing server plugins and agent plugins with no additional tooling; i.e., no dependency on configuration management or custom Docker images.

- Namespaces and RBAC - Sensu Go introduces the ability to configure unique namespaces and their resources in a shared environment, with built-in role-based access controls (RBAC) for granular management of who gets access to what.

- Lightweight Directory Access Protocol (LDAP) (enterprise only) - A security requirement for most enterprises, LDAP offers organizations a security-team-approved way to interact with Sensu.

- ServiceNow integration (enterprise only) - ServiceNow is widely used by enterprises and heavily used by operators. The ServiceNow handler is a Sensu event handler that creates or updates ServiceNow configuration items, incidents and events.

- Jira integration (enterprise only) - Jira is Atlassian’s issue and project tracking software and another enterprise solution request by the Sensu community. The Jira handler, also a Sensu event handler, creates and updates Jira issues.

- Commercial support for Sensu Go - Sensu offers varying degrees of support depending on business size and needs.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...