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View ArticleInstalling LAMP Server on Localhost on Ubuntu
When you start learning Linux sysadmin, one of the common tasks you'll come across is installing the LAMP server.LAMP is a tech stack that refers to the collection of the following software required to...
View ArticleHow to Automatically Update AWS ECR Token in Kubernetes with CronJobs
Do you use AWS Elastic Container Registry (ECR) to store and manage your Docker images? In that case, you may have encountered a problem: the ECR token expires every 12 hours, and you need to renew it...
View ArticleProxmox Series #1: Installing Proxmox
Proxmox is one of my favorite hypervisors because of its flexibility, the fact that it basically costs nothing unless you need support, and the fact that it is fairly simple to get the hang of and use...
View ArticleProxmox Series #2: Creating a Linux Virtual Machine
In the first part of the Proxmox series, I showed you how to install the Proxmox hypervisor. In this chapter, I will give you an overview of how to use Proxmox, including creating and using virtual...
View ArticleProxmox Series #3: Creating Containers in Proxmox
In the earlier chapters of the Proxmox series, you learned to install Proxmox and create new virtual machines in it.Proxmox is different as it also allows you to create containers. As you may know,...
View ArticleProxmox Series #4: Adding Shared Storage to Proxmox Installation
So far in this Proxmox series, you have learned about installing Proxmox and creating virtual machines and containers.In this part, you'll learn about adding shared storage in Proxmox.Proxmox VE...
View ArticleProxmox Series #5: Backup and Restore Virtual Machines
We should all be doing these. Backing up ensures that if something happens to your virtual machine(s), you have a second unaffected copy that you can restore. Proxmox happens to have a handy...
View ArticleProxmox Series #6: Clones and Templates of Virtual Machines
Sometimes you encounter a situation where you have a VM configuration that you need to duplicate exactly. Maybe it's to deploy servers, or maybe it's for testing. And in the same sense, it's wise to...
View ArticleInstalling a Private GitLab CE Server with PostgreSQL
GitLab is great for programming collaboration, but as I've found out, it's become very useful to me for writing. I use it to keep track of revisions and my work in general. But I like to tinker, so I...
View ArticleDeploying Convolutional and Transformer-based Generative Models as...
Interested in AI? I am adding the AI touch to LHB with this tutorial on deploying convolutional and transformer-based generative models as microservices on Kubernetes, with containerized model serving...
View ArticleProxmox Series #7: Upgrading Proxmox version
Proxmox 8.0 was released on June 22, 2023, and it's full of exciting new features. Among the highlights are the following straight from the official Proxmox forum:Debian 12, but using a newer Linux...
View ArticleProxmox Series #7: Clustering and High Availability
One of my favorite features of Proxmox is its ability to form clusters from multiple nodes (servers).For example, if you have 3 physical servers with Proxmox installed on each of them, you can cluster...
View ArticleJenkins on EC2: Automating Deployment with Terraform
Jenkins is a popular open-source automation server that can be used to implement continuous integration and continuous delivery pipelines for software projects. It allows you to build, test, and deploy...
View ArticleBoost Machine Learning Model Training Performance on Hybrid Cloud Platforms
Machine Learning models often require a lot of computing resources and time to train, especially when dealing with large and complex datasets. This can be challenging and costly for many organizations...
View ArticleServerless vs Containerized Deployments: Which One is Better for Real-Time ML...
Machine learning (ML) models are becoming more and more popular. However, deploying ML models to production is not a trivial task. It requires careful consideration of the trade-offs between...
View ArticleAutomate Hyperparameter Tuning and Experiment Tracking for Cloud-Based Training
If you are a machine learning practitioner, you probably know how tedious and time-consuming it can be to find the optimal set of hyperparameters for your model.Hyperparameters are the configuration...
View ArticleTest and Benchmark Distributed Training on GPU Clusters with PyTorch and...
Distributed training is a technique that allows you to train deep learning models on multiple GPUs or machines in parallel. This can speed up the training process, reduce the memory usage, and enable...
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