A Docker container for quickly standing up a Splunk instance, complete with Eventgen and Splunk's Machine Learning app for testing and training purposes.
A step-by-step guide on building llamafiles from Llama 3.2 GGUFs, including scripting and Dockerization.
This project provides Dockerised deployment of oobabooga's text-generation-webui with pre-built images for Nvidia GPU, AMD GPU, Intel Arc, and CPU-only inference. It supports various extensions and offers easy deployment and updates.
Docker WireGuard container.
By building a Docker image, you can enjoy the benefits of ROS 2 support and the Raspberry Pi OS ecosystem side by side.
This article explores using generative AI, specifically large language models, to generate Dockerfiles. It details the challenges, best practices, and tools involved in leveraging AI for Dockerfile creation.
This article explains how to run inference on a YOLOv8 object detection model using Docker and create a REST API to orchestrate the process. It includes code implementation and a detailed README in the author's GitHub repository for running the API via REST with Docker.
Docker offers various logging drivers that dictate the storage location and format of log messages. These include json-file, syslog, journald, fluentd, awslogs, gelf, logentries, and splunk.
This is a hands-on guide with Python example code that walks through the deployment of an ML-based search API using a simple 3-step approach. The article provides a deployment strategy applicable to most machine learning solutions, and the example code is available on GitHub.
