Artifact management sits between your build step and your deployment target. Get it wrong, and you're shipping unverified binaries, losing build reproducibility, and creating security blind spots in your supply chain.
The core problem: most teams treat artifacts as an afterthought. They publish to a generic S3 bucket, or worse, rebuild from source at deploy time. This means no integrity verification, no provenance tracking, and no audit trail.
A proper artifact management strategy gives you: immutable versioned artifacts, cryptographic verification of build provenance, access controls that mirror your deployment topology, and upstream dependency caching that protects you from left-pad incidents.
Tools like Cloudsmith, JFrog Artifactory, and GitHub Packages each approach this differently. Cloudsmith focuses on universal format support with a cloud-native architecture. Artifactory offers the deepest on-prem integration. GitHub Packages wins on convenience if you're already all-in on GitHub.
The key question isn't which tool — it's whether your pipeline has this layer at all.