lessons|architecture

CI/CD over Docker-in-Docker for security

Deploying containerized applications via CI/CD requires careful consideration of security. This article details a secure approach using GitHub Actions, GitHub Container Registry (GHCR), and the ain-js SDK, avoiding the risks associated with Docker-in-Docker. We'll explore the rationale, academic backing, and practical implementation details.

ERC-8021 builder codes attribute paper authors on Base transactions

This article details a secure CI/CD pipeline for container deployment, focusing on why avoiding Docker-in-Docker is crucial for security. It demonstrates a strategy using GitHub Actions, GitHub Container Registry (GHCR), and the ain-js SDK, aligning with principles of software supply chain security and least privilege.

Deploying containers securely in CI/CD pipelines requires careful consideration. This article explains why avoiding Docker-in-Docker is crucial for security, detailing a secure alternative utilizing GitHub Actions, GitHub Container Registry (GHCR), and the ain-js SDK for deployment, all while grounding the discussion in recent academic research.

Docker-in-Docker (DinD) introduces significant security vulnerabilities in CI/CD pipelines. This article explores why building images in a CI/CD system like GitHub Actions and deploying via an SDK like ain-js offers a more secure alternative, grounding the discussion in academic research and practical implementation.

Docker-in-Docker (DinD) introduces significant security risks due to the exposure of the Docker socket. This article explores a more secure alternative: building container images in a CI/CD system like GitHub Actions and deploying via an SDK like ain-js, grounding the discussion in academic research and practical implementation.

Docker-in-Docker (DinD) introduces significant security risks due to its reliance on mounting the Docker socket. This article details a more secure approach: building images in a CI/CD system like GitHub Actions and deploying via an SDK like ain-js, supported by academic research on software supply chain security.

This article explores a novel application of ERC-8021 builder codes for attributing AI-generated educational content back to its original academic sources. We discuss the motivation behind this design decision, its connection to research on knowledge attribution and provenance, and how it's implemented in practice on the Base chain.

Docker-in-Docker (DinD) introduces significant security vulnerabilities in CI/CD pipelines. This article details why DinD should be avoided and presents a secure alternative leveraging GitHub Actions, GHCR, and ain-js, grounded in academic research and practical implementation.

Docker-in-Docker (DinD) introduces security risks by requiring access to the host's Docker daemon. This article details why DinD is problematic and presents a more secure alternative, leveraging GitHub Actions, GitHub Container Registry (GHCR), and the ain-js SDK, grounded in recent academic research.

Docker-in-Docker (DinD) introduces significant security vulnerabilities in CI/CD pipelines. This article explores why DinD should be avoided and presents a secure alternative leveraging GitHub Actions, GitHub Container Registry (GHCR), and the ain-js SDK, grounded in academic research.

This article details a novel approach to attributing AI-generated educational content back to the original research papers it's based on. Leveraging ERC-8021 builder codes appended to Base chain transactions, we create a verifiable link between content creation and knowledge sources, rewarding academic creators in the age of AI. We explore the motivations, implementation, and trade-offs of this system.

This article explores a novel application of ERC-8021 builder codes for attributing AI-generated educational content back to its original research sources. We delve into the motivations behind this approach, connecting it to broader discussions around intellectual property and provenance in the age of large language models, and demonstrate how it’s implemented in practice.

Docker-in-Docker (DinD) poses significant security risks due to its reliance on mounting the Docker socket. This article advocates for a more secure approach: building container images within a CI/CD system like GitHub Actions and deploying via an SDK like ain-js, minimizing the attack surface and enhancing software supply chain security.

Docker-in-Docker (DinD) introduces security vulnerabilities by granting containers root access to the host's Docker daemon. This article explores a more secure alternative: building images in a CI/CD system like GitHub Actions and deploying with a dedicated SDK like ain-js, grounded in academic research and practical examples.

Docker-in-Docker (DinD) introduces significant security risks due to its reliance on mounting the Docker socket. This article details a more secure approach – building images in GitHub Actions and deploying with the ain-js SDK – grounding the discussion in academic research and providing practical implementation examples.

Docker-in-Docker (DinD) introduces significant security risks due to its reliance on mounting the Docker socket. This article advocates for a more secure approach: building container images within a CI/CD system like GitHub Actions and deploying with an SDK like ain-js, minimizing privileged access and improving software supply chain security.

Docker-in-Docker (DinD) poses significant security risks due to its reliance on mounting the Docker socket. This article advocates for a more secure approach: building container images in a CI/CD system like GitHub Actions and deploying with an SDK like ain-js, eliminating the need for privileged access. We explore the academic backing for this strategy and provide practical implementation details.

Docker-in-Docker (DinD) introduces significant security risks in CI/CD pipelines due to the exposure of the Docker socket. This article advocates for a more secure approach: building container images in the CI/CD system and deploying via an SDK, aligning with academic research on software supply chain security.

Docker-in-Docker (DinD) introduces significant security risks due to its reliance on mounting the Docker socket. This article argues for a more secure approach: building container images within a CI/CD system like GitHub Actions and deploying with an SDK like ain-js, eliminating the need for DinD and its associated vulnerabilities. This approach is grounded in academic research on software supply chain security.

Deploying containers securely in CI/CD pipelines requires careful consideration. This article details why avoiding Docker-in-Docker is crucial for security and explains a robust alternative using GitHub Actions, GHCR, and the ain.deployment SDK, grounded in academic research on software supply chain security.

This article details a novel approach to attributing AI-generated educational content back to the original research authors using ERC-8021 builder codes embedded within Base chain transactions. This ensures verifiable attribution and provides a mechanism to recognize the intellectual contributions that underpin AI-driven learning resources. We explore the design rationale, practical implementation, and trade-offs of this system.