Redfin Implements Circonus to Scale its Monitoring, Reduce Costs, and Improve Accuracy of StatsD Analysis

Over 90% of Redfin’s metric data will be represented in Circonus’ log linear OpenHistograms, which will reduce their metric footprint by 50-60%. We’re pleased to announce today that Redfin, the…

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4 Key Characteristics of Modern Monitoring

Our previous post, “Monitoring for Success: What All SREs Need to Know,” discusses how today’s complex IT environments — virtualization, cloud computing, continuous delivery and integration — coupled with pressures…

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Monitoring for Success: What All SREs Need to Know

The last ten years have seen a massive change in how IT operations and development enable business success. From virtualization and cloud computing to continuous delivery, continuous integration, and rapid…

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Q&A: Best Practices for Storing and Analyzing Time-Series Data

The exponential growth of machine generated data in recent years has created the need for solutions purpose-built to handle extremely high-frequency telemetry data. This has driven increasingly more organizations to…

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Q&A: Circonus Founder and CTO Reveals Key Decisions on Designing Circonus’ Powerful Time-Series Database

Circonus’ time-series database, IRONdb, can ingest, compute, and analyze time-series data at greater volume and frequency than any other solution in the market. We realize that’s a bold statement, but…

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Circonus Partners with Cloudbakers to Help Companies Monitor and Optimize Their Google Cloud Infrastructure

We’re excited to share today that we’ve partnered with Cloudbakers, a Google Cloud Premium Partner, in an exclusive partnership in which Cloudbakers will serve as the Google Cloud Platform reseller…

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