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OpsCruise Observability Platform Certified on Red Hat Openshift

OpsCruise's Kubernetes and Cloud Service observability platform is certified to run on the Red Hat OpenShift Kubernetes platform.

This further supports the company’s observability platform in enabling organizations with enhanced performance while optimizing use of resources and cost.

Red Hat OpenShift is a cloud-native application platform that can help enterprise organizations build a more stable, security-focused Kubernetes environment with extended security and development workflow capabilities.

With OpsCruise running on Red Hat OpenShift, organizations can gain deeper visibility into every layer of their Red Hat OpenShift environments in order to reduce troubleshooting time and more confidently resolve performance issues. OpsCruise is an open cloud-native observability platform that enables Ops and App teams to troubleshoot all of their application components in context with configurations, connections, metrics, logs, traces and changes.

Beyond traditional telemetry, OpsCruise adds a unique eBPF-based flow feature that builds real-time topology, and a novel TracePath technology that makes distributed tracing usable by infrastructure and operations teams. By bringing everything into one place, app teams do not have to swivel across multiple tools from CI/CD, Kubectl tools and monitoring tools to understand and analyze the state of their applications.

In addition, to address temporal blindspots such as those from auto-scaling, OpsCruise provides a time travel feature that retains snapshots of the past so DevOps can look back in time to visualize changes that are often the source of problems.

“Red Hat OpenShift is supported by a robust partner ecosystem, extending the power of cloud-native application development and open source innovation across the hybrid cloud. With the OpsCruise observability platform certified to run on Red Hat OpenShift, customers can experience added security capabilities to further bolster their Kubernetes workflows and achieve real business results,” said Mark Longwell, director, Hybrid Platforms Business Unit, Red Hat.

OpsCruise on Red Hat OpenShift can be installed on-premises and in the cloud with Azure Red Hat OpenShift or Red Hat OpenShift Service on AWS. OpsCruise supports all of these options, so customers can now leverage OpsCruise observability anywhere they use Red Hat OpenShift. With instantaneous full-stack visibility and ability to detect and isolate problems with OpsCruise, DevOps teams can now more quickly identify sources of problems such as application SLO breaches caused by hard to find long chain dependencies on a failed service resulting from an incorrect Kubernetes configuration.

“Like Red Hat, OpsCruise has many large complex enterprise customers, so certifying our observability platform on Red Hat OpenShift was a no-brainer, " said Scott Fulton, Co-Founder & CEO of OpsCruise. “We look forward to continued collaboration with Red Hat to serve customers together.”

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OpsCruise Observability Platform Certified on Red Hat Openshift

OpsCruise's Kubernetes and Cloud Service observability platform is certified to run on the Red Hat OpenShift Kubernetes platform.

This further supports the company’s observability platform in enabling organizations with enhanced performance while optimizing use of resources and cost.

Red Hat OpenShift is a cloud-native application platform that can help enterprise organizations build a more stable, security-focused Kubernetes environment with extended security and development workflow capabilities.

With OpsCruise running on Red Hat OpenShift, organizations can gain deeper visibility into every layer of their Red Hat OpenShift environments in order to reduce troubleshooting time and more confidently resolve performance issues. OpsCruise is an open cloud-native observability platform that enables Ops and App teams to troubleshoot all of their application components in context with configurations, connections, metrics, logs, traces and changes.

Beyond traditional telemetry, OpsCruise adds a unique eBPF-based flow feature that builds real-time topology, and a novel TracePath technology that makes distributed tracing usable by infrastructure and operations teams. By bringing everything into one place, app teams do not have to swivel across multiple tools from CI/CD, Kubectl tools and monitoring tools to understand and analyze the state of their applications.

In addition, to address temporal blindspots such as those from auto-scaling, OpsCruise provides a time travel feature that retains snapshots of the past so DevOps can look back in time to visualize changes that are often the source of problems.

“Red Hat OpenShift is supported by a robust partner ecosystem, extending the power of cloud-native application development and open source innovation across the hybrid cloud. With the OpsCruise observability platform certified to run on Red Hat OpenShift, customers can experience added security capabilities to further bolster their Kubernetes workflows and achieve real business results,” said Mark Longwell, director, Hybrid Platforms Business Unit, Red Hat.

OpsCruise on Red Hat OpenShift can be installed on-premises and in the cloud with Azure Red Hat OpenShift or Red Hat OpenShift Service on AWS. OpsCruise supports all of these options, so customers can now leverage OpsCruise observability anywhere they use Red Hat OpenShift. With instantaneous full-stack visibility and ability to detect and isolate problems with OpsCruise, DevOps teams can now more quickly identify sources of problems such as application SLO breaches caused by hard to find long chain dependencies on a failed service resulting from an incorrect Kubernetes configuration.

“Like Red Hat, OpsCruise has many large complex enterprise customers, so certifying our observability platform on Red Hat OpenShift was a no-brainer, " said Scott Fulton, Co-Founder & CEO of OpsCruise. “We look forward to continued collaboration with Red Hat to serve customers together.”

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Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...