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 […]

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 […]

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 GCP Setup a proper environment for AI development Deploy AI […]

TensorRT Object Detection (DetectNet + OpenCV)

Recently, I found a very useful library that can utilize TensorRT to massively accelerate DNN (Deep Neural Network) application — the Jetson-Inference Library developed by Nvidia. The Jetson-Inference repo uses NVIDIA TensorRT for efficiently deploying neural networks onto the embedded Jetson platform, improving performance and power efficiency using graph optimizations, kernel fusion, and FP16/INT8 precision. […]

Machine Learning Frameworks — What To Choose?

Machine Learning (ML) is one of the fastest emerging technologies today. ML developers are looking for the right framework for their various kinds of projects for ML application development. Machine learning (ML) is a scientific study of statistical models and algorithms to help a computing system to accomplish designated tasks efficiently and independently by relying […]