Below the budget gauges is an Away Mode button. Here you can create budget thresholds based on the amount of gallons that you want to stay within, and you can configure the app to send an alert when you’ve hit a specific percentage of your threshold.
Scroll down to view gauges for daily, weekly, and monthly budget usage. If it's running, it tells you the flow rate in gallons per minute.īelow the two panels is a bar chart that displays hourly water usage and total usage for the past 24 hours. To the right of this panel is a Water Status panel that tells you if your water is running or not. If the gauge is red, your usage is over the average, and if it’s green, you're under the average. The Dashboard screen contains a panel labeled Today that displays a gauge showing the amount of water used (in gallons) for the current day and the percentage of your 10-day average. You can monitor water usage and manage the Flume 2 using a mobile app (for Android or iOS) or a web portal. These minimal flow rates help the Flume 2 to detect small leaks in your system that you might otherwise be unaware of. It can detect flow rates of as little as 0.01 gallons per minute (GPM) on 5/8-inch meters, 0.03GPM on 3/4-inch meters, and between 0.02GPM and 0.07GPM on larger (up to 1-1/2 inch) meters. (Opens in a new window) Read Our D-Link DCH-S161 Wi-Fi Water Sensor ReviewĪccording to the company, the Flume 2 works on 95 percent of the water meters in the United States and is accurate to within one percent of the reading that you’ll get from your home’s water meter.
The transactions in Flume are channel-based where two transactions (one sender and one receiver) are maintained for each message. When the rate of incoming data exceeds the rate at which data can be written to the destination, Flume acts as a mediator between data producers and the centralized stores and provides a steady flow of data between them.įlume provides the feature of contextual routing. Using Apache Flume we can store the data in to any of the centralized stores (HBase, HDFS). Here, Apache Flume comes to our rescue.įlume is used to move the log data generated by application servers into HDFS at a higher speed. To do so, they would need to move the available log data in to Hadoop for analysis. Applications of FlumeĪssume an e-commerce web application wants to analyze the customer behavior from a particular region. It is principally designed to copy streaming data (log data) from various web servers to HDFS. Apache Flume is a tool/service/data ingestion mechanism for collecting aggregating and transporting large amounts of streaming data such as log files, events (etc.) from various sources to a centralized data store.įlume is a highly reliable, distributed, and configurable tool.
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