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
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 ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...