Willywether

WillyWeather was founded over 10 years ago in Sydney. Initially, willywether, it started as the first national tides database, willywether quite a niche following among fishermen, then expanded into a full weather service in

WillyWeather WillyWeather. Contains ads In-app purchases. Everyone info. Going beyond the average weather service, we process and fine-tune forecast data to the specific coordinates of over , locations throughout the US including all towns, cities, beaches, rivers, parks, lakes and islands. Includes every beach in the US, and many river systems and inlets. Deeply integrated with tidal data. Our mapping features provide more control, and more detail than any other US weather resource.

Willywether

Nowcasting enhances short-term weather forecasting to produce location-specific predictions for the next 0 to 6 hours. It developed a nowcasting model in that uses real-time data from 70 radars across Australia to predict rain and small-scale storms. WillyWeather has a highly skilled team of developers and engineers, but this was its first project using machine learning ML. The first phase of development involved extensive consultation and testing to find the right technology fit. The initial approach trialed deep learning models, which yield a high level of accuracy but would have required a higher level of investment in terms of time and resources to deploy. However, WillyWeather wanted to keep project and maintenance costs low because it planned to make nowcasting results free for its users. The nowcasting models use AWS Lambda serverless code linked to real-time radar imagery data. When rain is detected, AWS Lambda triggers the nowcasting model, which generates weather predictions every 2 minutes and then records the actual weather for comparison. Its engineering team also set up notifications in Amazon CloudWatch to receive alerts of any abnormal activity, such as failed notifications. Serverless infrastructure was an ideal fit for AI-based nowcasting. However, a vast amount of on-demand processing power is needed to run the algorithms once rain is detected, and traffic to the WillyWeather app and website can spike percent during severe weather warnings. Rapid infrastructure scaling during these times is critical. It pays only for compute time consumed, avoiding costly over-provisioned infrastructure. Load balancing is automatic, and its database integrates well with serverless code execution on AWS Lambda.

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The app includes radar, satellite, detailed wind, rain, tide, swell and UV forecasts, as well as moon phases, and sunrise and sunset times. Going beyond the average weather service, we process and fine-tune forecast data to the specific coordinates of thousands of locations including all suburbs, towns, beaches, rivers, parks, lakes and islands. Includes every beach in Australia, and many river systems and inlets. Deeply integrated with tidal data. Our mapping features provides more control, and more detail than any other Australian weather source. We're particularly proud of our graphs, we pushed the boundaries to provide you with more context, and more detail for each weather type. Our goal was to present accurate and relevant weather information to you, as quickly, and easily as possible.

A slight chance of Thunderstorms in the afternoon. Some Thunderstorms may produce heavy rainfall in the afternoon. Rain may be heavy at Times. Breezy and not as cool with Highs in the upper 50s. Southeast Winds 15 to 25 Mph. Gusts up to 40 Mph in the afternoon. Chance of rain near percent. Partly cloudy in the Evening, then becoming mostly clear. Cold with Lows around North Winds 10 to 15 Mph with Gusts up to 25 Mph.

Willywether

The app includes radar, satellite, detailed wind, rain, tide, swell and UV forecasts, as well as moon phases, and sunrise and sunset times. Going beyond the average weather service, we process and fine-tune forecast data to the specific coordinates of thousands of locations including all suburbs, towns, beaches, rivers, parks, lakes and islands. Includes every beach in Australia, and many river systems and inlets. Deeply integrated with tidal data. Our mapping features provides more control, and more detail than any other Australian weather source.

Sanjana raj

The forecast, however, is always for your exact location. Amazon Simple Queue Service Amazon Simple Queue Service SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. Our goal was to present accurate and relevant weather information to you, as quickly, and easily as possible. After I had updated the app yesterday, I'm now seeing ads for their premium subscription in several places in the app. Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora. AWS Lambda AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers, creating workload-aware cluster scaling logic, maintaining event integrations, or managing runtimes. Includes every beach in Australia, and many river systems and inlets. WillyWeather is a global provider of local weather services that operates a website and apps for both iPhone and Android. Has tides, moon, and weather, so you can really get what's going on near you. Trying to increase your eCPM is a bottomless pit of wasted hours. I've also lost a very useful feature from this app - I used to have a forecast widget available, but it's now been removed. Deeply integrated with tidal data. Benefits of AWS Scales to run AI models for 5 million monthly users Optimizes costs with serverless on-demand infrastructure Develops a nowcasting system quickly with expert support Manages notification queuing to send weather warnings in parallel to all users Supports dynamic location data and expanding mobile customer base.

Cloudy with a chance of rain this Morning, then partly cloudy this afternoon. Highs in the lower 40s.

After I had updated the app yesterday, I'm now seeing ads for their premium subscription in several places in the app. The following data may be collected but it is not linked to your identity:. Benefits of AWS Scales to run AI models for 5 million monthly users Optimizes costs with serverless on-demand infrastructure Develops a nowcasting system quickly with expert support Manages notification queuing to send weather warnings in parallel to all users Supports dynamic location data and expanding mobile customer base. I went with WillyWeather because they were one of the few remaining weather apps that didn't push me into subscribing. Has tides, moon, and weather, so you can really get what's going on near you. It may be great in a metro area, just not here on Maine's rugged coast. Serverless infrastructure was an ideal fit for AI-based nowcasting. Great layout! It developed a nowcasting model in that uses real-time data from 70 radars across Australia to predict rain and small-scale storms. Best wx app I've seen in a long, long time of trawling for wx apps. You can request that data be deleted. Pay once and enjoy indefinitel. Great layout! To learn more, visit Serverless on AWS. Screenshots iPhone iPad Apple Watch.