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Deptective is a tool that automatically identifies and installs native dependencies required to run any executable or command by observing file access attempts. It operates within Docker containers to avoid contaminating the host system and can generate logs for debugging failed dependency resolutions. Users can also specify package managers and operating systems through command line options.
Model Context Protocol (MCP) enhances the interaction between AI agents and external tools, but it introduces significant security risks, such as command injection flaws and misconfigurations. Developers must adopt new security practices that focus on policy over traditional static analysis, utilizing Docker's solutions to mitigate risks while maintaining agile workflows.
Thorium is a scalable file analysis and data generation platform that enables users to orchestrate various tools at scale, offering features like static and dynamic analysis sandboxes, a user-friendly interface, and a RESTful API. It supports multi-tenant permissions, full-text search, and the import of numerous analysis tools, making it suitable for both development and analytical purposes. Thorium is designed for deployment in Kubernetes clusters but can also run on a local machine with limited production capabilities.
Docker has launched a Premium Support and Technical Account Management (TAM) service aimed at providing 24/7 support, priority incident response, and expert guidance for customers. This service includes advanced incident analysis, proactive assistance from dedicated TAM advisors, and comprehensive coverage across the Docker ecosystem to help organizations enhance their software development resilience and efficiency.
The author discusses the slow build times associated with the Rust compiler when deploying applications in Docker, particularly when using statically linked binaries. By exploring various compilation techniques and tools like cargo-chef, they aim to improve build efficiency while analyzing the performance bottlenecks in the compilation process, specifically focusing on link-time optimization (LTO) and LLVM-related tasks.
The Model Context Protocol (MCP) addresses the challenges developers face when integrating AI with external tools by providing a standardized way for large language models to interact securely with APIs. Docker's new MCP Catalog and Toolkit streamline this process, offering a centralized repository of verified MCP servers that enhance developer experience and security. With powerful search capabilities and one-click setup, Docker facilitates easier access to AI developer tools tailored for various use cases.
Integrating Amazon ECR as a remote cache for AWS CodeBuild can significantly reduce Docker image build times by providing a reliable long-term storage solution for build caches. This method allows for the reuse of cached layers across builds, enhancing efficiency in the development process. The article outlines the implementation steps and prerequisites for setting up this caching mechanism.
Cameradar is a Docker-based tool designed for detecting open RTSP hosts and automating dictionary attacks to access camera streams. It provides a user-friendly reporting feature and allows the use of custom dictionaries for credentials and stream routes. Users can easily configure and execute scans on specified target networks to identify vulnerabilities in connected cameras.
When evaluating local models for tool calling in GenAI applications, the testing revealed significant variability in performance among different models. The Qwen 3 models emerged as top contenders, particularly for their balance of accuracy and speed, while OpenAI's GPT-4 set a high benchmark for tool selection. The study emphasizes the importance of model choice in achieving effective tool integration in AI applications.
Docker Compose v2.36.0 introduces provider services, allowing developers to manage external systems alongside containers directly within their compose.yaml files. This new feature streamlines workflows by integrating non-container dependencies, enhancing the developer experience and facilitating complex application setups. Developers can also create custom provider plugins to extend Compose functionality tailored to their needs.
Learn how to build a fully functional Generative AI chatbot using Docker Model Runner, integrating observability tools like Prometheus, Grafana, and Jaeger for real-time monitoring. This guide addresses common challenges in AI development and provides a step-by-step process to create a local chatbot with a modern interface and comprehensive performance metrics.
Lakekeeper is an Apache-Licensed implementation of the Apache Iceberg REST Catalog specification, designed for secure and efficient data management. It offers features like multi-table commits, Kubernetes integration, and customizable access management while supporting various cloud providers and on-premise deployments. The project includes a Docker container and a minimal setup guide for demonstration purposes.
DrawDB is an AI-powered database entity relationship editor that allows users to create diagrams, export SQL scripts, and customize their experience directly in the browser without needing an account. The article provides instructions for cloning the repository, installing dependencies, and running the application locally or in a Docker container. Sharing features can be enabled by configuring the server and environment variables.
Docker has addressed a critical vulnerability identified as CVE-2025-9074 that could allow unauthorized access to sensitive information. Users are encouraged to update their Docker installations to mitigate potential security risks associated with this flaw.
LiteLLM is a lightweight proxy server designed to facilitate calls to various LLM APIs using a consistent OpenAI-like format, managing input translation and providing robust features like retry logic, budget management, and logging capabilities. It supports multiple providers, including OpenAI, Azure, and Huggingface, and offers both synchronous and asynchronous interaction models. Users can easily set up and configure the service through Docker and environment variables for secure API key management.
The article discusses the release of a benchmark for evaluating LLM-based agents in threat hunting, focusing on security question-answering pairs. It details the setup process for a MYSQL database using Docker, instructions for environment configuration, and how to generate and evaluate questions based on security incidents. Additionally, it provides information on installation requirements and links to related resources.
Build and deploy AI agent workflows quickly using Sim, a cloud-hosted service that requires Docker and PostgreSQL with the pgvector extension. The article details the installation process, including commands for setting up the application and running it with local AI models. It also covers the necessary configurations for development environments and offers options for using PostgreSQL.
Cap is an open-source CAPTCHA alternative that leverages SHA-256 proof-of-work to provide a fast, privacy-focused solution without annoying visual puzzles. Built with JavaScript and Rust, it is lightweight, highly customizable, and can be integrated easily into any project via a client-side library or a standalone Docker server. Cap ensures user privacy by not sending telemetry data and offers a machine-to-machine library for secure API protection.
Mike Coleman from Docker discusses the importance of control over AI tooling deployment in enterprise environments. He provides a detailed guide on how to build a custom Model Context Protocol (MCP) catalog, which includes forking Docker’s official MCP catalog, hosting server images in a private registry, and using the MCP Gateway to connect clients to the curated servers.
The Cloud Native Computing Foundation (CNCF) has partnered with Docker to enhance infrastructure support for project maintainers. This collaboration aims to provide vital resources and tools to help maintainers effectively manage their projects and contribute to the cloud-native ecosystem.
WarpStream is a Kafka-compatible streaming platform that utilizes object storage for enhanced durability and cost efficiency, especially when combined with Tigris, a multi-cloud storage solution that eliminates egress fees. This article provides a tutorial on deploying a WarpStream cluster backed by Tigris using Docker, allowing users to create a scalable message queue without hidden transfer costs. It covers prerequisites, setup steps, and basic operations to manage topics and messages within the queue.
The article discusses the challenges developers face when building and using tools with the Model Context Protocol (MCP), including issues related to runtime management, security, discoverability, and trust. It highlights how Docker can serve as a reliable MCP runtime, offering a centralized gateway for dynamic tool management, along with features to securely handle sensitive data. The introduction of the Docker MCP Catalog aims to simplify the discovery and distribution of MCP tools for developers and authors alike.
Docker has launched the MCP Catalog and Toolkit in Beta, aimed at improving the developer experience for Model Context Protocols (MCPs) by streamlining discovery, installation, and security. This initiative involves collaboration with major tech partners and enhances the ease of integrating MCP tools into AI applications through secure, containerized environments.
AI coding assistants like Claude Code can enhance development workflows by connecting to real tools through the Model Context Protocol (MCP) and Docker MCP Toolkit. This integration allows developers to automate tasks such as creating Jira tickets and managing code repositories without the need for extensive manual setup. With over 200 pre-built MCP servers and a one-click deployment feature, the Docker MCP Toolkit simplifies the connection process, ensuring a consistent and secure environment across different operating systems.
Docker Desktop 4.43 introduces significant updates aimed at enhancing the development and management of AI models and MCP tools, including improved model management features, expanded OpenAI API support, and enhanced integration with GitHub and VS Code. The release also includes new functionalities for the MCP Catalog, allowing users to submit their own servers and utilize secure OAuth authentication, alongside performance upgrades for Docker's AI agent, Gordon, which now supports multi-threaded conversations. Additionally, the Compose Bridge feature facilitates easy conversion of local configurations to Kubernetes setups.
PandasAI is a Python library that allows users to interact with data using natural language queries, catering to both technical and non-technical users. It supports various functionalities such as generating charts, working with multiple dataframes, and running in a secure Docker environment. The library can be installed via pip or poetry and is compatible with Python versions 3.8 to 3.11.
CRADLE is an open-source web application designed for Cyber Threat Intelligence analysts, facilitating collaborative threat analysis through features like note-taking, relationship mapping, and report generation. The platform is built with a modular architecture, incorporating a Django backend and an Electron/React frontend, and is accessible via Docker. Contributions are encouraged from the security community to enhance the project.
Development on DiceDB, an open-source in-memory database optimized for modern hardware, has been paused. It provides a high-throughput and low-latency data management solution and can be easily set up using Docker. Contributors are encouraged to follow the guidelines and join the community for collaboration.
Docker has launched unlimited access to its Hardened Images catalog, providing startups and small businesses with affordable, secure software bundles that are free from known vulnerabilities. The catalog features a wide range of images and includes a seven-day patch service level agreement to ensure timely updates. This initiative aims to enhance security in the container ecosystem by making highly secure images accessible to all users.
vAPI is a self-hostable API designed to simulate the OWASP API Top 10 vulnerabilities for educational exercises using PHP and MySQL. It provides setup instructions, including database configuration and integration with Postman for testing, and can also be deployed using Helm in a Kubernetes environment. The article includes references to additional resources and documentation for further exploration.
Docker has introduced Docker Hardened Images (DHI), which are secure-by-default container images that significantly reduce the attack surface and streamline software supply chain security. These images, designed for modern production environments, are continuously updated, minimize vulnerabilities, and integrate seamlessly into existing workflows without sacrificing flexibility or usability.
SALT is a semi-automatic labeling tool designed for LiDAR point clouds, offering cross-scene adaptability and 4D consistency. It enhances annotation efficiency by allowing users to quickly obtain pre-segmentation results and customize semantic labeling through an intuitive GUI. The tool can be easily set up in a Docker container, providing a reproducible environment for various sensor data and motion conditions.
A modern Data Lakehouse is built using Apache Iceberg, Polaris, Trino, and MinIO, all running locally in Docker containers. The author emphasizes the advantages of using open-source technologies and a local setup to avoid unexpected cloud costs while integrating these components for scalable data management with ACID guarantees. Configuration steps and architecture details are provided to help users set up the system effectively.
Cyprox is innovating cybersecurity by integrating artificial intelligence with security tools for enhanced threat detection and automated responses. Their open-source Model Context Protocol (MCP) repository provides a standardized interface for various security testing tools, facilitating easier access and collaboration in the cybersecurity community. Users can deploy MCP servers via Docker and follow specific installation instructions for each tool listed in the repository.
Enterprises are struggling with modernization, as up to 80% of workloads still run on legacy systems, leading to increased costs and risks. Docker offers solutions to accelerate the transition to cloud-native architectures, addressing challenges like complex dependencies and security risks while enabling incremental modernization and improved agility.
This tutorial guides users through setting up a complete Change Data Capture (CDC) pipeline using Debezium and Kafka Connect to stream changes from a PostgreSQL database. It covers the prerequisites, infrastructure setup with Docker, PostgreSQL configuration, connector registration, and observing change events in Kafka topics.
Docker's reliance on a persistent daemon with root privileges has raised security concerns, leading many to explore alternatives like Podman. Podman's daemonless architecture enhances security, reduces resource usage, and simplifies integration with systemd, making it a compelling choice for modern container management. The transition from Docker to Podman is seamless, allowing existing workflows to continue with minimal adjustments.
Outpost is an open-source, self-hosted infrastructure developed by Hookdeck that facilitates the addition of outbound webhooks and event destinations for event producers. It supports various destination types while ensuring backward compatibility, high throughput, and low operational costs, with features like event fanout, retries, and multi-tenant support. It is built in Go and can be easily deployed using Docker with minimal dependencies.
The article discusses the introduction of Docker Desktop Extensions, which allow developers to integrate third-party tools and services directly into Docker Desktop, enhancing productivity and customization. It highlights the benefits of using extensions for streamlining workflows and emphasizes the potential for community contributions to expand the ecosystem of available tools.
Canine is a user-friendly deployment platform that combines the power of Kubernetes with the simplicity of Heroku, allowing for easy deployment and management of applications. It includes features like GitHub integration, team collaboration, and real-time monitoring, making it suitable for small teams. Users can quickly set it up using Docker and customize settings as needed.
KNighter is a cutting-edge tool that utilizes Large Language Models to automatically create static analysis checkers from historical patch commits, focusing particularly on large-scale C/C++ codebases like the Linux kernel. It features a multi-step pipeline that includes generation, refinement, and triage to ensure high-quality results and integrates seamlessly with LLVM for enhanced analysis capabilities. Continuous improvements are being made to its documentation and features.
This guide demonstrates how to process ADS-B aviation data using Apache Flink and Kafka to identify missed landing approaches and runway landings. It provides steps to set up a Docker environment, collect real-time flight data, and execute SQL queries to analyze aircraft movements and relationships using user-defined functions and reference data.
Docker is transitioning to a bi-weekly release schedule for Docker Desktop updates, aiming for weekly releases by the end of 2025. This change is intended to provide users with quicker access to new features, bug fixes, and security updates, while maintaining high-quality standards and enterprise control over updates.
Deploying Large Language Models (LLMs) requires careful consideration of challenges such as environment consistency, repeatable processes, and auditing for compliance. Docker provides a solid foundation for these deployments, while Octopus Deploy enhances reliability through automation, visibility, and management capabilities. This approach empowers DevOps teams to ensure efficient and compliant deployment of LLMs across various environments.
Kan is a self-hosted project management tool that offers features such as board visibility controls, team collaboration, Trello imports, and activity logging. It can be easily set up using Docker Compose, and users can customize their configurations through environment variables. The project welcomes contributions and provides support through Discord.
Hard-coded secrets in Docker images pose significant security risks, as they can be inadvertently leaked and exploited by attackers. A recent analysis of 15 million Docker images on DockerHub revealed over 100,000 valid secrets, many of which date back years, highlighting the need for organizations to regularly audit their Docker images to prevent potential breaches.
The XZ Utils backdoor, originally discovered in 2024, continues to pose a risk as several Docker images built from compromised Debian packages still contain the malicious code. Despite efforts to notify Debian maintainers for removal, these infected images remain publicly available, highlighting the persistent threat of backdoored software in the container ecosystem. Binarly's research emphasizes the need for continuous monitoring and detection of such vulnerabilities to protect the software supply chain.
Portainer offers specialized solutions for managing Kubernetes, Docker, and Podman, catering to both enterprise IT and industrial IoT environments. It enables teams to streamline operations, enforce policies, and manage software deployments effectively, even in low-resource or disconnected settings.
The guide provides instructions on running Windows inside a Docker container using the dockurr/windows image, detailing configuration options for the installation process, storage, resource allocation, and network settings. Users can customize their setup, including selecting different Windows versions, adjusting hardware resources, and managing shared folders, all while ensuring compatibility with various Docker environments.
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SWE-Bench Verified was optimized from 240 GiB to just 5 GiB by implementing delta layering, restructuring packfiles, and removing unnecessary build artifacts. These changes drastically reduce setup time for evaluating coding agents, allowing for faster downloads and efficient use of cloud resources. The core optimization technique is applicable to other execution environments as well.
PgHook is a tool for streaming PostgreSQL change events using logical replication via PgOutput2Json, delivering updates to a specified webhook. It can be run as a lightweight Docker container and requires configuration through environment variables for PostgreSQL connection, publication names, and webhook URL. The project includes detailed setup instructions for both PostgreSQL and Docker, enabling easy integration of real-time data changes into applications.
WAHA is a self-hosted WhatsApp HTTP API that can be set up on your server in under five minutes, provided you have Docker installed. The guide details steps for sending your first text message via the API, including session management, QR code scanning, and example payloads for message sending.
Bitnami has announced the shutdown of its public Docker Hub repository, transitioning to a paid model that will no longer provide free stable images, forcing many developers to migrate to other providers or subscribe to costly secure images. The change has sparked significant backlash within the tech community, particularly among small businesses and hobbyists who relied on Bitnami’s services. Users must act quickly to avoid disruptions as the phased shutdown begins on August 28, 2025, with existing images moving to a legacy repository that will not receive updates or support.
MindsDB is an open-source server designed for connecting, unifying, and responding to queries across large-scale data sources. It allows users to deploy on various platforms, utilize Docker for installation, and offers tools for data integration, organization, and real-time response through built-in agents and job scheduling. The project encourages community contributions and provides support through various channels.
Docker has evolved its Compose tool to simplify the development and deployment of AI agents, enabling developers to build, ship, and run agentic applications with ease. New features include seamless integration with popular frameworks, Docker Offload for cloud computing, and support for serverless architectures on Google Cloud and Microsoft Azure. This allows developers to create intelligent agents efficiently from development to production without configuration hassles.
ScreenEnv is a Python library that enables the creation of isolated Ubuntu desktop environments in Docker containers, streamlining the deployment and testing of GUI agents. It supports full desktop automation, allowing agents to interact with applications, manage windows, and execute commands with ease. Additionally, it integrates with the Model Context Protocol for AI systems, providing flexible integration options for developers.
The article provides a comprehensive explanation of Docker, detailing its purpose and functionality in software development and deployment. It emphasizes the benefits of containerization, including consistency across different environments and efficient resource utilization. Readers gain insights into how Docker simplifies application management and enhances collaboration among development teams.
Pocket ID is a straightforward OIDC provider that enables authentication using passkeys instead of passwords, positioning itself as a simpler alternative to more complex self-hosted providers like Keycloak and ORY Hydra. It supports various setup methods, with Docker being the easiest, and encourages contributions from the community.
A local data platform can be built using Terraform and Docker to replicate cloud data architecture without incurring costs. This setup allows for hands-on experimentation and learning of data engineering concepts, utilizing popular open-source tools like Airflow, Minio, and DuckDB. The project emphasizes the use of infrastructure as code principles while providing a realistic environment for developing data pipelines.
Echo offers CVE-free base images for Dockerfiles that are automatically patched and hardened, ensuring that enterprises can quickly reduce their vulnerability counts to zero. Their solution is designed for long-term support, making cloud security management more efficient and attractive.
Sourcebot is a self-hosted tool designed to enhance understanding of codebases by allowing users to ask complex questions and receive detailed answers with inline citations. It features fast code search and navigation capabilities across multiple repositories and supports easy deployment using Docker. The platform also collects anonymous usage data for improvements while ensuring user privacy.
The conversation between Kevin and John highlights the complexities of modern web development with Rails, emphasizing the integration of tools like Vite, React, and Tailwind to enhance functionality. Despite the seemingly overwhelming setup, John demonstrates that a simple Rails application can still perform efficiently without all the added layers.
Logchef is a high-performance log analytics platform that streamlines log management and analysis through a single binary architecture using ClickHouse for log storage. It features schema-agnostic exploration, AI-powered SQL generation, and team-based access control, making it ideal for development teams looking for a scalable solution. Installation is simplified with Docker, and comprehensive documentation supports user onboarding and contributions.
The XZ-Utils backdoor, discovered in March 2024, remains present in at least 35 Linux images on Docker Hub, posing risks to users and organizations. Despite being reported, Debian has chosen not to remove the compromised images, citing low risk, which has raised concerns among researchers about the potential for accidental use in automated builds. Users are advised to ensure they are using updated versions of the affected library to mitigate risks.
Cua is a tool that allows AI agents to control operating systems within virtual containers, utilizing Docker-like capabilities. It provides SDKs for automating VMs across different OS platforms and enables users to run various computer-use models with a simple API, facilitating tasks such as screenshot capture and user interaction. The project is open-source and encourages contributions from the community.
Octo is a zero-telemetry coding assistant that supports various OpenAI-compatible and Anthropic-compatible LLM APIs, allowing users to switch models mid-conversation. It features built-in Docker support, customizable configuration, and can work seamlessly with local LLMs. Octo prioritizes user privacy and provides functionalities to manage coding tasks effectively while maintaining a user-friendly interface.
The article discusses enhancing a data lakehouse using MinIO, Apache Iceberg, and other tools like Airflow and DBT, while also utilizing Docker for consistent deployment. It highlights the benefits of Apache Iceberg, including efficient data storage, schema evolution, and support for concurrent access, making it well-suited for large-scale analytics. The goal is to streamline data management and improve insight generation.
Wyrm is an open-source Red Team security testing framework written in Rust, designed for authorized security testing. Users are advised to change default credentials for security and to back up profiles before updating, as the project is under active development with planned updates and new features. It provides various functionalities, including encrypted communication and dynamic payload generation, while emphasizing legal and authorized use only.
Unregistry is a lightweight container image registry that simplifies the process of transferring Docker images directly from one server to another via SSH without the need for an intermediary registry. The `docker pussh` command efficiently pushes only the missing layers of an image, making it faster and easier to deploy images to remote servers. It was designed to reduce complexity while still allowing for effective container management in various environments.
A reproducible stack for ingesting Notion databases into a Postgres warehouse is outlined, utilizing Dagster for orchestration and monitoring. The setup requires Docker Compose, and detailed steps for integration with Notion, environment configuration, and service deployment are provided. Additionally, users can manage pipeline states and backups while enabling scheduled runs and real-time logging.
Bitnami has announced a significant shift in its container image distribution model, moving most versioned images to a paid subscription service and leaving only the :latest tags available for free. This change poses challenges for many teams relying on Bitnami, prompting Docker to promote its own offerings, including Docker Official Images and Docker Hardened Images, as stable and affordable alternatives. Organizations are urged to audit their dependencies and consider transitioning to Docker's solutions to avoid disruptions and increased costs.
Developers can now access IBM's Granite 4.0 language models on Docker Hub, allowing for quick prototyping and deployment of generative AI applications. The models feature a hybrid architecture for improved performance and efficiency, tailored for various use cases, including document analysis and edge AI applications. With Docker Model Runner, users can easily run these models on accessible hardware.
Copilot for Video Editing is an open-source video editing application currently in early development, offering features like non-linear editing, multi-track support, and live preview. Users can set up the application using Docker and contribute to its development, with future plans to integrate Remotion APIs. For updates and support, users are encouraged to join the project's Discord server.
Fine-tuning a language model using LoRA (Low-Rank Adaptation) allows for efficient specialization without overwriting existing knowledge. The article details a hands-on experiment to adapt the Gemma 3 270M model for reliably masking personally identifiable information (PII) in text, showcasing the process of preparing a dataset, adding adapter layers, and training the model efficiently. Docker's ecosystem simplifies the entire fine-tuning workflow, making it accessible without requiring extensive resources.
OmniTools is a self-hosted web application that provides a range of online tools for tasks such as image and video editing, PDF manipulation, and data calculations, all processed client-side for privacy. With a lightweight Docker image and a focus on user contributions, it aims to simplify everyday tasks while expanding its toolset.
Doctor is a comprehensive tool designed to discover, crawl, and index websites, presenting the data through an MCP server for LLM agents. It integrates various technologies for crawling, text chunking, embedding creation, and efficient data storage, along with a user-friendly FastAPI interface for search and navigation. The system is built with Docker support and offers hierarchical site navigation and automatic title extraction for crawled pages.
Desktop Commander is a comprehensive AI development tool that integrates various coding and automation features, allowing users to execute commands, manage processes, and edit files seamlessly. It supports multiple installation methods, including Docker, and offers advanced functionalities such as interactive process control, instant data analysis, and configuration management without requiring extensive setup.
The article provides a comprehensive guide on mastering Docker logs, detailing how to efficiently manage and analyze logs generated by Docker containers. It covers various logging drivers, commands for viewing logs, and best practices for log management to enhance troubleshooting and monitoring processes.
sbomify is a platform for managing Software Bills of Materials (SBOMs) and related documentation, offering features like version control, vulnerability scanning, and integrations with GitHub Actions. It supports CycloneDX and SPDX formats, and provides a web interface and API for uploading and managing documents and SBOMs, with options for both public and private access. The platform can be self-hosted or accessed online, with comprehensive deployment and development instructions available.
GCP Cloud Run can be effectively utilized with HAProxy to create a cost-efficient and flexible load balancing solution, overcoming limitations of GCP's built-in HTTP(S) Proxy Load Balancer. The article outlines a method to dynamically manage HAProxy configurations stored in a Google Cloud Storage bucket, allowing for easy updates and deployments. This approach is particularly beneficial for scenarios with multiple services sharing a single endpoint or when handling non-HTTP traffic.
The integration of NVIDIA DGX Spark with Docker Model Runner facilitates efficient local AI model development, offering superior performance and ease of use. This combination allows developers to run large models seamlessly on their local machines while maintaining data privacy, customization, and offline capability. The article details the setup process, usage, and benefits of this powerful duo for developers looking to enhance their workflows.
Ansible and Docker are powerful tools that enhance automation and containerization in infrastructure management. Ansible streamlines the installation and management of Docker environments through declarative YAML playbooks, enabling easier scaling and consistency across multiple hosts. The article covers the integration of Ansible modules for Docker, practical deployment examples, and best practices for using them together effectively.
Cloudflare has launched Containers in public beta, allowing developers to deploy Docker container images on its global edge network, which enhances performance by reducing latency. This new feature integrates with Cloudflare Workers, enabling the execution of complex Linux-based applications while offering benefits like global deployment, scale-to-zero pricing, and programmability.
Markdown Ninja simplifies the process of publishing Markdown-based websites and newsletters with a straightforward command using Docker, eliminating the need for complex setups. Users can easily publish their content while ensuring security and trust through responsible disclosure channels. Documentation is readily available for both usage and development.
The article discusses a critical vulnerability in the GitHub Model Context Protocol (MCP) integration that allows attackers to exploit AI assistants through prompt injection attacks. By creating malicious GitHub issues, attackers can hijack AI agents to access private repositories and exfiltrate sensitive data, highlighting the inadequacy of traditional security measures and the need for advanced protections like Docker's MCP Toolkit.
The article discusses how to integrate Claude Desktop with Docker MCP Toolkit to enhance AI capabilities for developers, enabling Claude to perform real-world tasks like deploying containers and managing repositories securely. It outlines the setup process and demonstrates how Claude can automate tasks that traditionally take hours, significantly improving efficiency and safety through a containerized environment.
Docker introduces Hardened Images to assist companies in achieving FedRAMP compliance more efficiently and cost-effectively. These images come pre-configured for FIPS compliance and STIG hardening, significantly reducing the manual workload and helping organizations meet stringent security requirements while maintaining a reduced attack surface and continuous monitoring for vulnerabilities.
The GitHub repository jzombie/sqlite-sqllogictest-corpus contains a minimal Docker setup for cloning the official SQLite SQLLogicTest Fossil repository and copying its test corpus into a local directory. This setup allows users to easily obtain a fresh snapshot of SQLite's SQLLogicTest cases for testing purposes. Instructions for building the Docker image and extracting the tests are provided in the README file.
The GitHub repository for CoJudge offers a self-contained, offline code judging tool for LeetCode-style problems, utilizing Docker for consistent execution across different machines. It supports multiple programming languages and features a user-friendly web interface built with SvelteKit, enabling users to add their own problems and track progress persistently. The project is open-source and licensed under the MIT license.
The article describes the GitHub repository for the "monitoring-stack," a Docker Compose setup designed for monitoring planar applications using OpenTelemetry. It includes components like Grafana, Prometheus, and Loki for visualizing metrics and logs, and provides instructions for setting up and accessing the stack.
The article discusses a Rust container image that is efficiently built using just 13 lines of Dockerfile code, supporting multi-architecture, musl, and cross-compilation features while optimizing caching. It highlights the minimal image size and provides a link to the GitHub repository for further exploration.
The article discusses the author's experience with self-hosting various applications, including an RSS reader (Miniflux), Grafana for data visualization, and a bookmark manager (Linkding). The author shares insights on setting up these applications using Docker, managing configurations with Ansible, and the challenges of maintaining a self-hosted environment. Future ideas include integrating AI with user manuals for household appliances.
A user raised an issue on the MinIO GitHub repository asking about the absence of a new Docker image for a recent security release. They inquired whether this was expected and requested that a new release be pushed for Docker installation methods.
The article presents Hermes, a self-hosted video downloader that utilizes the yt-dlp REST API and offers a user-friendly web application. It allows users to download videos from YouTube and over 1000 other platforms while emphasizing lawful media use. The setup involves deploying via Docker with options for both pre-built images and source modification for developers.
The article presents Knocker, a self-hosted, HTTP-based knock-knock access control system designed for homelabs. It allows users to secure their services by whitelisting IP addresses on-demand, minimizing the attack surface while providing configurable features like API key authentication and firewall integration. The project is deployable via Docker and supports both web and CLI clients.