Chris Churilo

Chris Churilo is responsible for Product Marketing at InfluxData. Prior to joining InfluxData, she defined and designed a SaaS monitoring solution at Centroid, and prior to that she was the VP of product management at iPass and was the LOB for several cloud services that required her to track the business and operational metrics and analytics to help identify and resolve issues.

Chris Churilo

Chris Churilo

Chris Churilo is responsible for Product Marketing at InfluxData. Prior to joining InfluxData, she defined and designed a SaaS monitoring solution at Centroid, and prior to that she was the VP of product management at iPass and was the LOB for several cloud services that required her to track the business and operational metrics and analytics to help identify and resolve issues.

Event Monitoring Visibility Made Easy: Sensu Check Metric Extraction with InfluxDB and Grafana

Monitoring dynamic, distributed environments often results in costly monitoring solution choices for developers seeking scalability, but your monitoring solution doesn’t have to be expensive. Sensu, InfluxDB, and Grafana — open source tools with enterprise counterparts — can work together to …

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Minimize Downtime in Production with Cloud-Based Distributed Load Testing

We all know that downtime costs money — potentially thousands of dollars per minute for large enterprises — not to mention the impact on brand reputation and customer satisfaction. While often overlooked, load testing is one way to help mitigate downtime …

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InfluxDB vs. Splunk for Time Series Data, Metrics & Management

At InfluxData, one of the questions we regularly get asked by developers and architects alike is: “How does InfluxDB compare to Splunk for time series workloads?” This question might be prompted for a couple of reasons. First, if they’re starting …

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Using Time Series for Application Performance Monitoring to Win at the Flight E-ticket Sales Game

One of the best ways to demonstrate the value of application performance monitoring (APM) and its relation to time series data is through a real-world success story. Here we introduce the application performance monitoring solution used by Web Shop Fly, …

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InfluxDB vs. Graphite for Time Series Data & Metrics Benchmark

This blog post has been updated on March 29, 2019 with the latest benchmark results for InfluxDB 1.7.2 and Graphite 1.1.5. This blog is regularly updated with the latest benchmark figures. At InfluxData, one of the common questions we regularly …

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Why You Want Easy-to-Setup Grafana Dashboards

The list of reasons to adopt Grafana dashboards is long. Among other things, Grafana dashboards are excellent tools for gaining insight into time-series data. In addition, Grafana readily integrates with InfluxDB and Telegraf to make monitoring of sensor, system and …

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InfluxDB Tops Cassandra in Time Series Data & Metrics Benchmark

This blog post has been updated on December 18, 2018 with the latest benchmark results for InfluxDB 1.7.2 and Cassandra v3.11.3. To provide you with the latest findings, this blog is regularly updated with the latest benchmark figures. At InfluxData, …

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InfluxDB is 2.4x Faster vs. MongoDB for Time Series Workloads

This blog post has been updated on December 18, 2018 with the latest benchmark results for InfluxDB v1.7.2 and MongoDB v4.0.4. To provide you with the latest findings, this blog is regularly updated with the latest benchmark figures. At InfluxData, …

InfluxDB is 2.4x Faster vs. MongoDB for Time Series Workloads Read More »

Get One-Click Access to InfluxData Time Series Platform on Google Cloud

InfluxData today announced it is newly listed on the Google Cloud Platform (GCP) Marketplace, which offers ready-to-go development stacks, solutions, and services to accelerate development. Now Google Cloud users have one-click access to the industry’s leading Time Series Platform for …

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Easily Gather, Store and Analyze IoT Data in Google Cloud IoT Using Telegraf

Today we announced the integration of InfluxData’s Telegraf™ with Google Cloud IoT—a complete set of tools to connect, process, store, and analyze data both at the edge and in the cloud. This integration accelerates Time to Awesome™ for Google Cloud …

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