Blog: Developer

June 16

Recreating the Parallax Menu in Aeris Pulse iOS

We’ve had several users of our Aeris Weather iOS SDK ask us about whether the parallax UITableViewCells in the map layer menu of Aeris Pulse was available as part of the SDK, or how we achieved the effect.   Although this menu is not offered as part of our iOS SDK, it’s really easy to implement. There are just a few main steps you need to perform to get this effect working in your own apps. The following code samples are provided using Swift, but can easily be ported over to Objective-C if you haven’t jumped into Swift yet. Generate background images...

Wrench to Scuplture
May 19

Kubernetes: Extending Tools To Build New Things

On the Operations Team here at AerisWeather, we use Kubernetes to orchestrate our containerized applications and previously wrote about how much we love using it. Kubernetes and it’s CLI tool, kubectl, help deploy applications to our production environment in a consistent and reproducible manner. We can update high throughput applications in place with rolling updates, view cluster-wide metrics, and see what’s running where. Component integration in a large microservice application can be daunting, but we are able deploy our application with the help of Kubernetes. Emphasis on the “help”. We found ourselves not only integrating parts of our application together, but also parts of our DevOps...

Example image of data visualization
May 16

Data Visualizations – Making Weather Interactive

Each day, we process terabytes of data for use with our Aeris Weather API and Aeris Maps Platform and are always looking for improved ways to visualize all the data. D3.js is one of the most popular data visalization libraries for the web. By combining D3.js with other open-source libraries such as Crossfilter and DC.js, as well as our own Aeris Weather API, some great weather data visualizations are possible. Interactive Storm Reports Last month there were just under 11,000 storm reports across the US, which includes data on tornadoes, hail size, snowfall, rainfall and more. Visualizing such a large amount of...

Aeris Android SDK v2.0
May 6

Aeris Android SDK v1.2 Released

An update to the Aeris Android SDK is now available with an new map library! AMP’d Up This update to the AASDK is the beginning of some exciting changes for the cartographers amongst our ranks. The Aeris Android Map library now uses our very own Aeris Map Platform (AMP) for the weather data visualization in our apps! This first wave of AMP integration is focused on upgrading the existing legacy Aeris Overlays to AMP and pave the way for the additional layers available within our new map platform. In future updates of the SDK we will be adding new map...

AerisWeather AMP
May 5

AerisWeather Now Integrated with WhirlyGlobe-Maply

AerisWeather is now integrated with the WhirlyGlobe-Maply mobile toolkit! Mousebird Consulting Inc. does high performance mobile data display. They make the WhirlyGlobe-Maply open source geo-spatial toolkit for iOS and Android. The toolkit is a mobile first SDK used in a variety of weather, aerospace, map, and education apps. The WhirlyGlobe-Maply toolkit already supports a wide variety of weather and aviation apps, so they just made it easier to fetch AerisWeather data layers. There are a few new MaplyAeris objects in the toolkit. These take your AerisWeather key, interrogate the available layers, and set up the necessary WhirlyGlobe-Maply objects. Get started...

March 3

Aeris Pulse is now featured on the App Store

Now featured on the App Store as one of the best new apps, Aeris Pulse is the premiere severe weather app for iOS and Android! Never be surprised by the weather again with Aeris Pulse’s exclusive approaching weather threats. Using your current GPS location, Aeris Pulse highlights where the weather threats are relative to you. Receive push notifications and in-app alerts when hazardous or severe weather approaches your current location. Push notifications detail everything from heavy rainfall to severe storms with hail, lightning, and even tornadoes possible. You can also choose to receive notifications for National Weather Service (NWS) warnings for...

Aeris Android SDK v2.0
January 15

Aeris Android Alpo – Eating Our Own Dogfood

The term “Eating Your Own Dogfood” or “Dogfooding”, has spread throughout the tech industry in the past 20 years.  Back on the farm we used a slightly different way to say the same thing (something about dogs and where they sleep) but it all means basically the same thing: it’s the idea of using the products we make to ensure that things actually work the way we say they do.  The Aeris Android development project recently gave me a “no thank you bite” of my own. Dinner is Served http://deviq.com When I sat down to pen the developer’s blog this week,...

January 7

Playing Nicely Together: Swift, Dependencies and Cocoapods

We recently pushed out version 2.2.2 of our Aeris Weather SDK for iOS to fix some issues with using Objective-C and Swift modules in Xcode 7 and Cocoapods. While tweaking our internal projects to better support modules, we ran into this dreaded compiler error in Swift 1.2 when trying to build the updated libraries: And apparently we weren’t alone. There were many of these errors and they all appeared within the umbrella headers of each of our frameworks, Aeris.h for example. At first we figured it was some weirdness caused by using our ObjC Aeris libraries in a Swift project,...

December 17

Is Your Cache Crispy Fresh?

Our big project these days is a major overhaul of our map tile servers for our Weather Overlays API. We’re moving the entire codebase over to Node.js and using mapnik to generate tile images. Performance and resource usage is a major concern. We need to generate images for more than 20 different weather data sets, some of which update as often as every 2 minutes. To keep our maps snappy and not break the bank, we need to do a really good job caching at every level of resource creation. There are several great caching libraries out there, but we had...

December 10

Kubernetes – Scaling in 2D

We deal with large data at Aeris Weather. Multiple weather metrics, every few square kilometers, updated every few hours covering several weeks, across the whole globe… oh my. And that is just forecast data. A continuous stream of observations, storm cells, fires and other data in addition to forecasts presents our engineering team with a variety of challenging scaling problems. As we take a deep breath to think about how much data that is, that is just the ingestion side. Much like you as you exhale once again, our applications need to output the data back out in meaningful ways to our...