Tag: AMP

Air Quality Map
September 27

Air Quality and Wildfire Maps Now Available

Changes in air quality can have wide-ranging effects for people, especially for children and sensitive groups, but also for everyone when air quality drops considerably. In May, we announced the addition of the Air Quality endpoints to the Aeris Weather API.  Today, as we continue to expand our Air Quality API and datasets, we are announcing a new air quality map layer within the Aeris Mapping Platform (AMP).  The layer displays Air Quality Index (AQI) badges for locations globally and allows users to quickly visualize areas of concern.  Additionally, large wildfires can negatively affect local and regional air quality. Therefore, we...

August 31

New Tropical Map Layers in the Aeris Maps Platform

We recently introduced the new Hurricane API, including the tropical cyclones endpoint, within our Aeris Weather API. And while real-time, easy-to-use data is useful, visualizations of that data is what helps tell the story in minimizing storm risks. Today, we are announcing new tropical map layers within the Aeris Maps Platform (AMP). These new tropical map layers allow you to create a variety of tropical weather maps within your own apps and projects. Tropical Cyclones, the Primary Layer The single tropical cyclones layer is the most commonly used tropical layer and displays all active cyclones across the globe, including the Atlantic, East...

Historical Weather
February 14

The Power of Historical Weather

by Paul Douglas “Those who cannot learn from history are doomed to repeat it.” – George Santayana Meteorologists are preoccupied with predicting some future state of the atmosphere. Too many days it’s a thankless, seemingly impossible task. To have any real success forecasting the weather it’s essential to look back in time to see what already happened, and why? Our humbling new reality: every storm is different, each weather scenario uniquely challenging. The atmosphere has never been identical to the one outside your window right now. The only way to accurately model the future is to analyze the past, with...

August 7

Monitoring Kubernetes with Elasticsearch, Kibana, and Heapster

We recently took the plunge into using Kubernetes to orchestrate containers for a number of our web and data-ingest services. While we have been generally pleased with the experience, we have found metrics, monitoring, and logging to be major pain points for us. Kubernetes provides no out-of-the-box system for centralized logging, so we had resorted to scanning log files on individual pods with a lot of guess-and-check work in matching server logs to application behavior. Without any human-readable interface for viewing application metrics, it was really hard to construct a story describing why an application behaved the way it did. It was clear...