After more than two years of development, the Debian Project has released its new stable versio [...]| LWN.net
This tutorial will guide you through setting up a simple text search application. | docs.vespa.ai
Explore the key security issues in API development, how attackers can exploit them, and how to protect your API from them.| Apriorit
In Docker Desktop 4.42, users can expect new features like IPv6 networking capabilities, numerous Docker Model Runner updates, and more.| Docker
Migrate an existing validator by splitting its private key into shares| docs.obol.org
See how additional Zabbix components can be easily set up in a docker environment, along with docker run and docker compose examples.| Zabbix Blog
A temporary guide for setting up Authelia with Traefik while the official Getting Started documentation is being improved.| Authelia
This step-by-step tutorial will cover basic Docker commands, such as how to start and stop Docker containers and list containers with filters.| Cherry Servers
Install Docker and Portainer with this quick and simple guide sure to have you self-hosting your own apps in no time at all.| Noted
I’ve spent the last decade+ working on Ruby deploy tooling, including (but not limited to) the Heroku classic and upcoming Cloud Native Buildpack. If you wan...| www.schneems.com
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
Learn how to build an image processing application with OpenCV and deploy it as a container image to AWS Lambda.| CircleCI
Talos Linux is an OS designed for Kubernetes, with in mind to be secure, immutable and minimal. It offers a solution for having secure nodes for your Kubernetes cluster. Running Falco on them requires some configurations we'll see in this blog post. The good news is everything is available to collect the syscalls with eBPF and also the audit logs from the Kubernetes control plane. In this tutorial we'll use a local Talos cluster created with Docker containers for convenience, adapt the config...| Falco
» TechSparx| techsparx.com
This guide is a practical introduction to using Vespa nearest neighbor search query operator and how to combine nearest| docs.vespa.ai
Learn how to automatically build, test, and deploy containerized PyTorch models to Herokuusing fast and efficient CI/CD.| CircleCI
An in-significant data project portfolio can help set you apart from the run-of-a-mill candidate. Projects show that you are someone who can learn and adapt. Your portfolio informs a potential employer about your ability to continually learn, your knowledge of data pipeline best practices, and your genuine interest in the data field. Most importantly, it gives you the confidence to pick up new tools and build data pipelines from scratch. But setting up data infrastructure, with coding best pr...| www.startdataengineering.com
Automatically track your filament inventory and usage. Set up on Windows, Linux, Mac, or a Raspberry Pi. Integrates with OctoPrint, Klipper, and Home Assistant.| OctoEverywhere Blog
Introduction ComfyUI is an open-source node-based workflow solution for Stable Diffusion. It offers the following advantages: Significant performance optimization for SDXL model inference High customizability, allowing users granular control Portable workflows that can be shared easily Developer-friendly Due to these advantages, ComfyUI is increasingly being used by artistic creators. In this post, we will introduce […]| Amazon Web Services
I love the power of containers, but I’ve never loved Dockerfile. In this post we’ll build a working OCI image of a Ruby on Rails application that can run loc...| www.schneems.com
LocalAI provides a variety of images to support different environments. These images are available on quay.io and Docker Hub. All-in-One images comes with a pre-configured set of models and backends, standard images instead do not have any model pre-configured and installed. For GPU Acceleration support for Nvidia video graphic cards, use the Nvidia/CUDA images, if you don’t have a GPU, use the CPU images. If you have AMD or Mac Silicon, see the build section.| localai.io
Docker can be overwhelming to start with. Most data projects use Docker to set up the data infrastructure locally (and often in production as well). Setting up data tools locally without Docker is (usually)a nightmare! The official Docker documentation, while extremely instructive, does not provide a simple guide covering the basics for setting up data infrastructure. With a good understanding of data components and their interactions combined with some networking knowledge, you can easily se...| www.startdataengineering.com
Learn the main concepts of containerization and Docker, from image, Docker file to running containers in this blog post.| Geshan's Blog
Testcontainers is an opensource library for providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.| Testcontainers
Run the Docker daemon as a non-root user (Rootless mode)| Docker Documentation
Stream processing differs from batch; one needs to be mindful of the system's memory, event order, and system recovery in case of failures. However, understanding the fundamental concepts of time attributes, cluster memory, time-bounded joins, and system monitoring will enable you to build resilient and efficient streaming pipelines. If you are looking for an end-to-end streaming tutorial or a project to understand the foundational skills required to build streaming pipelines, this post is fo...| www.startdataengineering.com
Setting up data infra is one of the most complex parts of starting a data engineering project. Overwhelmed trying to set up data infrastructure with code? Or using dev ops practices such as CI/CD for data pipelines? In that case, this post will help! This post will cover the critical concepts of setting up data infrastructure, development workflow, and sample data projects that follow this pattern. We will also use a data project template that runs Airflow, Postgres, & Metabase to demonstrate...| www.startdataengineering.com
Data engineering project for beginners, using AWS Redshift, Apache Spark in AWS EMR, Postgres and orchestrated by Apache Airflow.| www.startdataengineering.com
Struggling to come up with a data engineering project idea? Overwhelmed by all the setup necessary to start building a data engineering project? Don't know where to get data for your side project? Then this post is for you. We will go over the key components, and help you understand what you need to design and build your data projects. We will do this using a sample end-to-end data engineering project.| www.startdataengineering.com
Worried about introducing data pipeline bugs, regressions, or introducing breaking changes? Then this post is for you. In this post, you will learn what CI is, why it is crucial to have data tests as part of CI, and how to create a CI pipeline that automatically runs data tests on pull requests using Github Actions.| www.startdataengineering.com
Worried about setting up end-to-end tests for your data pipelines? Wondering if they are worth the effort? Then, this post is for you. In this post, we go over some techniques to set up end-to-end tests. We will also see which components to prioritize while testing.| www.startdataengineering.com
Frustrated that hiring managers are not reading your Github projects? then this post is for you. In this post, we discuss a way to impress hiring managers by hosting a live dashboard with near real-time data. We will also go over coding best practices such as project structure, automated formatting, and testing to make your code professional. By the end of this post, you will have deployed a live dashboard that you can link to your resume and LinkedIn.| www.startdataengineering.com
Getting Started tutorial for Docker Engine Swarm mode| Docker Documentation
Self-hosted, Open Source, Freedom| blog.rymcg.tech
Unable to find practical examples of idempotent data pipelines? Then, this post is for you. In this post, we go over a technique that you can use to make your data pipelines professional and data reprocessing a breeze.| www.startdataengineering.com
A community and blog for embedded software makers| Interrupt
Note: Dockershim has been removed from the Kubernetes project as of release 1.24. Read the Dockershim Removal FAQ for further details. You need to install a container runtime into each node in the cluster so that Pods can run there. This page outlines what is involved and describes related tasks for setting up nodes. Kubernetes 1.33 requires that you use a runtime that conforms with the Container Runtime Interface (CRI).| Kubernetes
GitLab product documentation.| docs.gitlab.com
When you develop a web application and want to support older browsers while also using the latest browser features, you often need polyfills. Polyfills implement new features in older browsers. One common approach is to bundle polyfills with the application. The problem is that this increases the bundle size, and users with modern browsers have to download code their browser doesn't need.| golb.hplar.ch
