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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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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...