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.
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.
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.
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.
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.
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.
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 adopt time series databases and address the unique challenges around ingesting, analyzing, and storing massive amounts of time-series data.
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 we stand by it. In fact, IRONdb can ingest over a trillion measurements per second, giving companies the data granularity they need for better, more accurate monitoring. It also offers unlimited scalability and the highest data safety guarantees.
Over the past few months, we’ve been working on some major updates to Circonus — a new dashboard builder and interface along with several turnkey service dashboards. In the following post, we’ll share the motivation and process behind this project, then walk you through what you can expect. Circonus has provided the ability to create custom drag and drop dashboards for some time. However, this feature was added several years ago.
