This was a frequent request we were hearing from many customers: “How can I analyze my data with Python?” The Python Data Science toolchain (Jupyter/NumPy/pandas) offers a wide spectrum of advanced data analytics capabilities. Therefore, […]
Opinions vary in recent online discussions regarding systems and software observability. Some state that observability is a replacement for monitoring. Others that they are parallel mechanisms, or that one is a subset of another (not […]
How do you capture and organize billions of measurements per second such that you can answer a rich set of queries effectively (percentiles, counts below X, aggregations across streams), and you don’t blow through your […]
The Linux kernel is an abundant component of modern IT systems. It provides the critical services of hardware abstraction and time-sharing to applications. The classical metrics for monitoring Linux are among the most well known […]
The Circonus team is excited to announce the release of our newest update, which includes sweeping changes to the Circonus Monitoring Platform UI. This update is part of an ongoing effort to optimize the Circonus […]
Getting paged at 11pm on New Year’s Eve because the application code used sprintf %d on a 32 bit system and your ids just passed 4.295 billion, sending the ids negative and crashing your object […]
Advanced analytics
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Intelligent alerts
Real-time streaming alerts, analytic alerts, and composite alerts ensure you can prioritize issues, reduce false positives, and identify problems before they become outages.
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