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Pressing “run” in my browser triggers a build on my remote server, which then streams the APK via ssh to my laptop and then via WiFi to my device. What a time to be alive.

Pressing “run” in my browser triggers a build on my remote server, which then streams the APK via ssh to my laptop and then via WiFi to my device. What a time to be alive.

Updated every 30 seconds, our service generates a true picture of traffic for unmatched road network coverage. This information helps users plan trips and daily commutes for a faster and more relaxed journey.

Traffic prediction plays an important role in forecasting traffic, ultimately helping to optimize route planning and accurate estimated times of arrival (ETAs). Access to real-time traffic information reduces travel times while improving safety and fuel or energy efficiency.

We decided to focus on three dimensions in order to categorize request traffic: throughput, functionality, and criticality. Based on these characteristics, traffic was classified into the following:

Have you ever sat in traffic wondering how much time you could have saved if you weren’t stuck in gridlock? What about if you had taken the left turn at the junction instead of continuing on the highway only for a never-ending queue of vehicles to greet you?

In Netflix engineering, we’re driven by ensuring Netflix is there when you need it to be. Yet, as recent as last year, our systems were susceptible to metaphorical traffic jams; we had on/off circuit breakers, but no progressive way to shed load. Motivated by improving the lives of our members, we’ve introduced priority-based progressive load shedding.

TomTom calculates traffic flow speeds and congestion in real-time, and users can also use this information to predict what the traffic will be up to 24 hours ahead of time. If a driver has an important meeting planned for the next morning, TomTom Traffic gives the user the option to plan ahead to avoid peak hours and arrive on time.

Traffic congestion costs people valuable time, fuel, and frustration every single day. At the same time, large amounts of congestion impact governments who need to keep traffic flowing for the movement of goods, reducing pollution in certain areas, and for the safety of those on the road. Congestion is a global problem that impacts all levels of society. The most common causes of traffic congestion are known by any driver who has come across a traffic jam on their journey. Road incidents such as accidents and roadworks often cause unexpected delays. Bad weather conditions also result in lower-traffic flow speeds, while poor traffic signal timing limits capacity on smaller inner roads. However, the largest increase in global traffic congestion is due to one main cause: there are too many vehicles for a road network with a limited capacity.

You can’t always avoid traffic but with accurate traffic predictions you can make smarter choices that can save you money, time and increase overall road safety. Highly accurate traffic information also helps governments by supporting the development of smart and sustainable mobility systems to reduce overall congestion levels.

The animation below shows the behavior of the Netflix viewer experience when the backend is throttling traffic based on priority. While the lower priority requests are throttled, the playback experience remains uninterrupted and the viewer is able to enjoy their title. Let’s dig into how we accomplished this.

More and more drivers are relying on navigation applications and devices to guide them through the fastest routes and avoid hitting congestion. The best navigation devices use advanced traffic prediction services for accurate estimated times of arrivals (ETAs) and optimized routes during a driver’s journey.

Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Everyone slows to a crawl, sometimes for a minor issue or sometimes for no reason at all. As engineers at Netflix, we are constantly reevaluating how to redesign traffic management. What if we knew the urgency of each traveler and could selectively route cars through, rather than making everyone wait?

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st fascinating applications of Python is the ability to run on embedded hardware. For those new to this, embedded hardware is a tiny computer that’s created to perform limited actions. An embedded application is what drives the hardware, aka the firmware. Popular examples of these applications include MicroPython, Zerynth, PyMite, and EmbeddedPython.

Failure can occur due to a myriad of reasons: misbehaving clients that trigger a retry storm, an under-scaled service in the backend, a bad deployment, a network blip, or issues with the cloud provider. All such failures can put a system under unexpected load, and at some point in the past, every single one of these examples has prevented our members’ ability to play. With these incidents in mind, we set out to make Netflix more resilient with these goals: