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  • Consolidated Monitoring Reduce tool sprawl with an end-to-end observability platform. Free Trial Circonus Sandbox Simplify your monitoring with a consolidated platform that unifies and correlates all of your observability data from across your entire environment to improve collaboration, speed troubleshooting, and reduce annual monitoring costs. ...

  • This past spring, Ron DeSantis used Twitter Spaces to launch his presidential campaign. At least, he tried to. As you may remember, the event was marred with technical difficulties, resulting in false starts, confused hosts, glitches, echoes, and the “melting” of servers. Of the more than 600,000 Twitter users who initially tuned in, less than...

  • The Uptime Institute recently released its Annual Outage Analysis 2023 report. Overall, the report highlights the increasing costs, frequency, and duration of outages, the prominent role of cloud and digital services in outages, the shortcomings of service providers, and the need to address human error and management failures. It also underscores the ongoing challenges of...

  • Correlation in monitoring and observability refers to the process of analyzing different types of data to identify and understand relationships between application, network, and infrastructure behavior. Correlating these data sets can help IT teams identify all technology components contributing to or impacted by a performance or reliability issue, thereby empowering them to identify root cause...

  • SolarWinds Alternative: Why Companies Choose Circonus Ingest, visualize, and analyze your metrics, logs, and traces at unlimited scale from across your full environment and quickly correlate all this data in one unified view. Free Trial Circonus Sandbox SolarWinds’ observability platform is a culmination of several different products that...

  • While Prometheus has been available since 2012, its popularity has skyrocketed in the last five years as it became the de facto solution for Kubernetes. Although Prometheus may be suitable for smaller environments, it was not designed for ultra high scale use cases or for storing data long-term. So as organizations are increasingly growing their...

  • Migrate from Prometheus to Circonus with Ease Prometheus simply cannot scale to meet the requirements of today’s service-based, hybrid environments. Circonus is a modern full-stack observability platform that can function in many cases as a drop-in replacement for Prometheus. Free Trial Circonus Sandbox Circonus supports Prometheus APIs,...

  • IT outage times are rapidly increasing as businesses modernize to meet the needs of remote workers, accelerate their digitalization transformations, and adopt new microservices-based architectures and platforms. Research shows that mean time to recovery (MTTR) is ramping up, and it now takes organizations an average of 11.2 hours to find and resolve an outage after...

  • Powerful full-stack monitoring you can afford Transparent pricing for infrastructure monitoring, log analytics, and unified observability. No hidden fees. No surprise bills. Choose a plan based on: the number and type of hosts, containers, Kubernetes pods, network devices, network port count, website urls, etc., as well as the type of data (metrics, logs...

  • Datadog Alternative: Why Companies Choose Circonus Ingest, visualize, and analyze your metrics, logs, and traces at unlimited scale from across your full environment - at a lower, more predictable cost. Free Trial Circonus Sandbox Datadog’s pricing model is purposely complex and lacks transparency. They charge overage premiums that...

  • As organizations shift to service-centric environments, they are generating substantially more data. This in turn has placed strains on monitoring and observability teams, who now must sift through an abundance of data in order to identify and resolve issues — a challenge exacerbated by the number of various monitoring tools they’ve implemented over the years.

  • Circonus’ end-to-end distributed tracing built on OpenTelemtry lets you understand the path of each request within complex multi-service architectures. Easily correlate traces with metrics and logs to quickly identify root cause and gain the context you need to reduce latency, identify errors, and improve user experiences.