Circonus announced the general availability of the Circonus Telemetry Cloud™ – the next generation of its monitoring and observability platform. The Circonus Telemetry Cloud delivers a holistic view of the entire enterprise up and down the stack and across the full range of deployment models – on-premises, in the cloud, or at the edge. It is a complete solution encompassing telemetry ingestion, visualizations, analytics, and storage – all powered by its world-class time series database, IRONdb™, which enables unlimited scale and infinite, cost-efficient data storage. "This industry has made a fortune at customers' expense by complexifying and fragmenting its solutions," said Bob Moul, Circonus CEO. "Many companies have had to deploy ten or more monitoring tools to achieve adequate coverage and despite having all those tools, or perhaps because of them, outages and resolution times have actually increased. Today all that changes. With Circonus Telemetry Cloud, companies of all sizes can get all the functionality they need at a price they can afford in one simplified, unified platform." Capabilities and benefits of Circonus Telemetry Cloud include: - Eliminate silos, improve collaboration, and reduce costs with a consolidated platform: One fully integrated platform provides end-to-end observability. Ingest, store, visualize, and analyze metrics, traces, and logs across infrastructure, network, applications, and containers, whether on-premises or in the cloud. - Speed MTTR and reduce downtime with full-stack correlation: Unified dashboards provide a single pane of glass to correlate related metrics, traces, and logs in one view and click, while search and tagging capabilities enable efficient contextualization and querying. The result: 5x-10x faster MTTR and improved accuracy by eliminating false positives. - Ease migration and reduce vendor lock-in with support for open standards: Circonus provides dashboards based on OpenSearch, as well as out-of-the-box support for open source collection agents like OpenTelemetry and Fluent Bit and query languages like PromQL and Lucene. Circonus integrates seamlessly with Grafana dashboards, is compatible with Elasticsearch, and can function as a drop-in replacement for Prometheus and Graphite. - Proactively optimize performance with advanced analytics: Real-time analytics and powerful historical analysis empower engineers with the capabilities they require to ensure the reliability of their systems, including anomaly detection, capacity planning, SLO/SLA management, performance reporting, and more. With Circonus Telemetry Cloud, customers get the flexibility and familiarity they love about open source tools combined with the benefits of a sophisticated, managed, consolidated platform. The platform's economy of scale and superior price-performance economics make it possible to deliver high-end capabilities at a fraction of typical monitoring costs. Circonus Telemetry Cloud is available immediately.
The Latest
While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...
Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...
For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...
For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...
Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...
Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...
AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...
More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...