SignalFx announced that the SignalFx Smart Agent is now available as a Red Hat certified container for use across Red Hat’s hybrid cloud technology portfolio, including Red Hat OpenShift and Red Hat Enterprise Linux.
The Red Hat certified container of the SignalFx Smart Agent is now available in the Red Hat Container Catalog, Red Hat’s catalog service for discovery and distribution of certified and curated container images. Red Hat’s certification enables joint customers to pursue a microservices application strategy with greater confidence knowing that the SignalFx Smart Agent has been fully validated to run on Red Hat platforms.
SignalFx Smart Agent is an open source metrics collection agent for a broad set of cloud infrastructure and application services. With the ability to automatically discover containers and the services they run, the SignalFx Smart Agent eliminates the operational overhead of metric collection and enables Ops Teams to gain immediate visibility through pre-built dashboards without complex configurations.
“Joint customers of SignalFx and Red Hat want an enterprise-grade observability solution for a full cloud-native stack,” said Arijit Mukherji, CTO, SignalFx. “Customers also want application containers deployed in their environment to be fully vetted and completely free of known vulnerabilities. Our collaboration with Red Hat helps provide confidence to our customers that SignalFx Smart Agent has gone through a rigorous testing process by Red Hat and is ready for production deployment at scale.”
Organizations are adopting microservices and containers to more rapidly deliver innovation. While traditional monitoring solutions fall short in these ephemeral and dynamic container environments, SignalFx has been designed from the ground up to handle the short-lived nature of containers in Kubernetes environments. SignalFx implements a massively scalable streaming analytics architecture that lowers the latency to detect, visualize and alert on anomalous conditions to just seconds.
“The Red Hat Partner Connect program aims to deliver broad choice to customers for their hybrid cloud deployments with complementary solutions. Red Hat certification validates that the SignalFx Smart Agent meets our standards for consistent performance and compatibility,” said Mike Werner, senior director, Global Technology Partner Ecosystems, Red Hat. “We are excited to collaborate with SignalFx so customers can have even more choice for real-time monitoring of their hybrid cloud deployments.”
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 ...