Kubernetes has become the de facto container orchestrator due to its various functionalities and flexibility. Although Kubernetes documentation is thorough and provides many examples, it is not straight forward to combine all these tutorials and use it to deploy a real-life application with several services from end-to-end. With that, I will demonstrate how to deploy a real-life scenario application on Azure Kubernetes Cluster (AKS) as the production platform. Moreover, I will be discussing day 1 and day 2 operations of the application life cycle in Kubernetes in series of articles. Here are the main headlines:
Kubernetes has become the de facto container orchestrator due to its various functionalities and flexibility. Although Kubernetes documentation is thorough and provides many examples, it is not straight forward to combine all these tutorials and use it to deploy a real-life application with several services from end-to-end. With that, I will demonstrate how to deploy a real-scenario application on Azure Kubernetes Cluster (AKS) as the production platform. Moreover, I will be discussing day 1 and day 2 operations of the application lifecycle in Kubernetes in series of articles. Here are the main headlines:
Kubernetes has become the de facto container orchestrator due to its various functionalities and flexibility. Although Kubernetes documentation is thorough and provides many examples, it is not straight forward to combine all these tutorials and use it to deploy a real-life application with several services from end-to-end. With that, I will demonstrate how to deploy a real-scenario application on Azure Kubernetes Cluster (AKS) as the production platform. Moreover, I will be discussing day 1 and day 2 operations of the application lifecycle in Kubernetes in series of articles. Here are the main headlines:
Kubernetes has become the de facto container orchestrator due to its various functionalities and flexibility. Although Kubernetes documentation is thorough and provides many examples, it is not straight forward to combine all these tutorials and use it to deploy a real-life application with several services from end-to-end. With that, I will demonstrate how to deploy a real-scenario application on Azure Kubernetes Cluster (AKS) as the production platform. Moreover, I will be discussing day 1 and day 2 operations of the application life cycle in Kubernetes in series of articles. Here are the main headlines:
- Discuss the application and set up…
Co-written by Simon Sander
Nowadays, collecting data from every kind of components and systems has already moved in the focus of several industry areas. The automotive industry is one of the pushing sectors accelerating the data logging of millions of cars. This data can contain information about the electrical, mechanical or thermal state of several different vehicle components. The challenge is to not only log and store this data but rather to log the big amount of information over a car’s life without information loss and with high sampling rate. …
This article is a continuation work on previous publication¹: Predicting and Forecasting the Lifetime of Automotive Vehicle Components.
Nowadays, vehicle reliability is becoming an ever more important core aspect of automotive engineering to anticipate the trends towards car sharing and autonomous driving. The flawless operation of vehicles for a defined mileage under given loading and environmental conditions is crucial for cost and safety reasons. There are well-established methodologies in durability engineering to assess component reliability under certain constraints such as mileage or load, in order to retrieve a Remaining Useful Lifetime (RUL) estimation. These methods are based on damage accumulation…
Virtual sensors
Sensors are units, that measure physical quantities and transform them into — mostly electrical — signals. Nowadays, sensors are omnipresent in nearly every electronic or mechatronic device we use, from smartphones to TVs going through cars. Sensor signals are used to monitor system states, detect changes in systems and/or control them (like a temperature regulation for an air conditioning system).
Sensors are physical hardware devices that make use of physical or chemical effects like electric resistance, temperature, pressure or capacity. Very often, the usage of sensors is restricted due to following aspects:
- High costs
- Limited installation space
- Unsuitable environment conditions…
In order to develop, train, test or at least investigate data-driven algorithms, a large amount of conclusive data is required. For an automotive application, this means continuous monitoring from thousands of cars from day one to end-of-life, representing millions of driven kilometers. Such a data scientist dream is still economically as well as, most of the time, technically not manageable. Indeed, besides the colossal time required to gather such a dataset, car manufacturers only have at their disposal very few development cars gathering data for a couple of thousands kilometers at different car development stages.
This situation is a vicious…
We at COMPREDICT, provide many services to our partners in the Automotive Industry. These services range from in-car software, through managing data lake, to developing and serving AI models in the cloud. This series of posts will discuss the architecture and technology stack that allow us to accept streamed data, train models and serve them inside a car or in our cloud.
Overview
Our software-based approach, the COMPREDICT Platform, predicts component failure, personalizes maintenance plans, enables lightweight design and optimizes the development process for automotive components.
The picture above describes our complete tech stack and the basic flow of our software…
Today cars “made in Germany” are well known for their robustness and quality standards. But have you ever thought of the fact, that German cars may be overdesigned?
In this short article, we want to address the problem of overdesign and a possible solution to the problem.
The first step understanding the problem of overdesign is to look at how design in automotive industry typically works nowadays. Let’s just jump right into the simplified break-down of the process:
- Initially, a broad assumption about the later usage of the component of a car is made. The specifications for the design of…
COMPREDICT
AI-based Virtual Sensors and Analytics
