Centerity introduced monitoring support for OpenStack, the massively scalable cloud operating system.
OpenStack is a cloud-computing project focused on providing the "ubiquitous" open source cloud computing platform for public and private clouds what will predominantly act as an Infrastructure-as-a-Service (IaaS) platform.
Centerity provides out of the box support for a wide range of in-depth monitoring of all critical metrics and KPIs across the OpenStack environment. As part of Centerity’s holistic BSM view, Centerity provides a service pack that allows users to correlate Hadoop performance and availability KPIs with other resources such as infrastructure elements, SAP HANA, OS and more.
Centerity Monitor supports the integration with OpenStack APIs in order to monitor all available metrics of the OpenStack environment, resources and applications. OpenStack users can use it to collect and track metrics, gain insight and react immediately to keep its applications and businesses running smoothly. Through Centerity, OpenStack customers gain system-wide visibility into resource utilization, application performance and operational health.
What is missing from the OpenStack framework and critical for its users is the need for comprehensive monitoring capabilities with the ability to comply with Business Service Management (BSM) standards. BSM monitoring is the essential tool that allows IT and Business Units to create a holistic approach to complex enterprise services aligning expectations to delivery with required levels of service availability and performance (SLA/OLA) for both external and internal customers.
Now, Centerity brings holistic BSM monitoring capabilities to a customer’s entire hybrid environment whether those assets are cloud-based, virtual or physical and regardless if located internally or externally to an organization. Centerity gives critical, real-time visibility to the evolving complexity of the service topology involving multiple, hybrid components such as Hardware, OS, Networking, Systems, Applications and more.
CENTERITY'S ADDED VALUE TO OPENSTACK:
- Centerity delivers an enterprise-class and carrier-class BSM solution based on Multi-Level SLA/OLA monitoring of every component in the application environment (e.g., HW, OS, Network, Applications, User Experience, etc.) including applicable Public/Private Cloud and Virtual assets.
- Centerity provides "out of the box" integrate to existing OpenStack applications, scripts & open-source plugins.
- Centerity delivers clear, comprehensive views and control over processes.
- Centerity supports agent-based and agentless monitoring.
- Centerity's BSM solution is scalable and extensible.
- Centerity's BSM solution delivers broad performance metrics, alerts, reports and availability statuses over different timeframes.
- Centerity provides a "single pane of glass" for failure identification allowing for immediate failure identification in corresponding components and layers.
- Centerity provides Interactive, Executive Dashboards and Maps.
The integration between Centerity and OpenStack allows the monitoring of KPIs including:
- Nova (flavors, servers lists, security groups)
- Swift (storage service status, dispersion analysis, cluster queries)
- Keystone (identity and token monitoring)
- Glance (image numbers, image names)
- Rabbit MQ (message queuing/status, server resources, instance counts)
- Hypervisors (VMware, XenServer, Hyper-V, KVM)
- Databases (MySQL, PostgreSQL)
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 ...