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Circonus' Record Sales for Q2 Driven by Demand for Unified Observability at Scale

We’re pleased to share that Circonus saw record sales for the quarter ending June 30, 2021 and substantial year-over-year growth in annual recurring revenue (ARR). We’re experiencing significant momentum in 2021 as more organizations look to consolidate monitoring solutions, unify observability metrics across the stack, and manage a significantly greater volume of telemetry data.

Why Open Source Histograms Are The Future of Telemetry Monitoring

Latency measurements have become an important part of IT infrastructure and application monitoring. The latencies of a wide variety of events like requests, function calls, garbage collection, disk IO, system-call, CPU scheduling, etc. are of great interest to engineers operating and developing IT systems. But there are a number of technical challenges associated with managing and analyzing latency data.

Three Common Challenges to Monitoring StatsD and How to Tackle Them

StatsD is a key unifying protocol and set of tools for collecting application metrics and gaining visibility into the performance of applications. StatsD as a protocol was created by Etsy in 2011 for emitting application metrics. Soon after, the StatsD Server was developed as a tool for receiving StatsD line protocol metrics and subsequently aggregating them. While there are no official backends as part of the StatsD ecosystem, Graphite became the most commonly used.

How to Correctly Frame and Calculate Latency SLOs

As more companies transform into service-centric, “always on” environments, they are implementing Site Reliability Engineering (SRE) principles like Service Level Objectives (SLOs). SLOs are an agreement on an acceptable level of availability and performance and are key to helping engineers properly balance risk and innovation.

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 technology-powered real estate brokerage, has selected Circonus to replace its existing metrics platform.

Avoid These 4 Common Mistakes When Setting and Measuring Latency SLOs

Setting and measuring latency Service Level Objectives (SLOs) is a critical responsibility for engineers monitoring the performance and health of their applications and systems. SLOs are an agreement on an acceptable level of availability and performance and are key to helping engineers properly balance risk and innovation.

New Dashboard Builder Now Available to Circonus Customers

We recently announced the development of our new dashboard builder and associated release of several new turnkey service dashboards. The new dashboard builder provides a vastly improved user experience, enabling users to create dashboards in a fraction of the time it took them previously. As of this month, the dashboard builder, which was previously only accessible internally, is now available to all Circonus customers.

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 to deploy faster while meeting demands for “always on” customer expectations – have placed greater strains on monitoring teams.

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 application development, IT has never been more complex or more critical to creating competitive advantage. To support increasingly Web-Scale IT operations and wide-scale cloud adoption, applications now operate as services.

4 Characteristics of Monitoring Essential to Implementing DevOps

In the new world of rapid releases, continuous change, and increasingly high user expectations, more organizations are embracing DevOps. One of the primary drivers for adopting DevOps is speed — particularly the reduction of risk at speed. As DevOps seeks to reduce risk and deliver insight at an increasingly faster pace, new tools have emerged in the monitoring space. But these tools alone will not deliver us into the low-risk world of DevOps — not without new and updated thinking.