Containerized Microservices Cloud CI/CD Pipeline Automation with Jenkins, Helm, Keel, and Kubernetes

Developers do not want to think about infrastructure and why it takes so long to deploy their code to a real testing environment. They just want it up and running! This article will walk you through how to prepare and configure your environment to achieve a complete automated CI/CD pipeline for your containerized applications using Jenkins, Helm, and Kubernetes. You ...
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Cloud-Native Edge Computing Signals a New Era of Digital Transformation

Edge Computing places workloads closer to where data is created and where actions need to be taken and address the unprecedented scale and complexity of data created by connected devices. As more and more data come from remote IoT edge devices and servers, it’s important to act on the data that makes the biggest impact. Acting quickly on the right ...
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Cloud-Native Solution: Build a Server Cluster with Docker Swarm

Containers have become popular thanks to their focus on consistency across platforms from development to production. The rise in interest to containers has in turn brought in higher demands for their deployment and management. Docker provides a simple solution that is fast to get started with while Kubernetes aims to support higher demands with higher complexity. For many of the ...
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Cross-architecture Kubernetes with Edge Devices Using Hybrid Cloud Strategy

Kubernetes has rapidly become a key ingredient in edge computing. With Kubernetes, companies can run containers at the edge in a way that maximizes resources, makes testing easier, and allows DevOps teams to move faster and more effectively as these organizations consume and analyze more data in the field. Now, containers are transforming the way edge and IoT platforms have ...
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Cloud Computing Series #2 — Setting Up Your Computing Engine for CUDA AI Development with GCP

Cloud computing is the delivery of on-demand computing services -- from applications to storage and processing power -- typically over the internet and on a pay-as-you-go basis. In the Cloud Computing Series posts, we will walk through the following topics: Setup a Compute Engine on GCPSetup a proper environment for AI developmentDeploy AI applications on the Cloud In this post, ...
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/ / Cloud, Cloud Computing

Face Recognition API on the Jetson

When it comes to Face Recognition there are many options to choose from. While most of them are cloud-based, I decided to build a hardware-based face recognition system that does not need an internet connection which makes it particularly attractive for robotics, embedded systems, and automotive applications. The project is built based on Dlib that is able to compile with ...
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/ / Edge AI, IoT, Jetson
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