By submitting this form, you agree to our 

 is rarely just an infrastructure move. For most DevOps and platform teams in 2026, it’s a once-in-a-decade opportunity to rethink tooling, eliminate legacy bottlenecks, and modernize the 

 end-to-end. One of the most overlooked, but highest-impact, areas to revisit during this transition is 

As organizations shift workloads and security controls into the cloud, the limitations of 

 quickly become visible. What once worked in on-premise environments often creates friction, risk, and massive operational overhead in a cloud-native world.

 isn’t just a "lift-and-shift" event. It’s the ideal moment to reassess how you store, secure, and distribute artifacts across modern 

Why legacy artifact repositories struggle during cloud migration

Traditional, self-hosted repositories were designed for static infrastructure and perimeter-based security. Cloud environments invert those assumptions.

During migration, teams commonly encounter:

 Legacy tools often require manual server provisioning or expensive over-capacity planning.

 Managing patches, database tuning, and storage maintenance for your own repository steals focus from your core product.

 When global teams depend on a single on-premise instance, latency sabotages developer velocity.

Keeping a legacy repository while modernizing everything else often results in a "partially modern" stack with legacy risk still embedded in your delivery pipeline.

Cloud migration exposes hidden software supply chain risk

Modern cloud adoption increases velocity, but speed without control amplifies risk across the 

 Cloud-scale builds pull in thousands of external packages that need immediate scanning.

 Difficulty tracking exactly "who built what and where" across fragmented environments.

 Brittle legacy controls that can't handle the dynamic nature of cloud-native deployments.

Re-evaluating artifact management during migration allows teams to embed 

 governance exactly when redesigning their pipelines.

The modernization opportunity: SaaS artifact repositories

Cloud migration creates the perfect window to replace self-hosted infrastructure with a 

 built for elasticity and global distribution.

 No more storage planning or maintenance; the platform automatically scales with your builds.

 A built-in Package Delivery Network (PDN) delivers artifacts worldwide to reduce latency.

 Features like automated vulnerability scanning and signature verification are baked in, not bolted on.

Instead of recreating legacy architecture in the cloud, organizations can move directly to a fully managed model aligned with cloud‑native principles. This shift transforms artifact management from a maintenance task into a strategic layer of the delivery platform.

When to move: Aligning your migration strategy

Teams often postpone modernization because migration feels complex. However, delaying the decision typically leads to "double migration" work, migrating the legacy tool today and replacing it tomorrow.

Aligning modernization with your cloud move avoids:

 Design your CI/CD for your final destination, not a temporary stop.

 Cloud-native migration scripts (like the Cloudsmith CLI) handle the transfer of binaries and metadata once.

 Ensure your new cloud environment launches with a clean, high-performance foundation from day one.

Signs your artifact management is holding you back

Before moving to the cloud, audit your current state. If these "silent killers" sound familiar, a lift-and-shift solution will only migrate your technical debt:

 Your team spends hours every month on repository upgrades, patching, and storage "garbage collection".

 Global developers or remote build agents face high latency because your on-premise repository lacks a global distribution network.

 You struggle to provide a complete "bill of materials" (SBOM) or audit trail for a security incident.

 Your pipelines rely on custom, "home-grown" scripts to move packages between environments because your tool doesn't support native promotion workflows.

The strategic ROI: What actually changes?

 during a cloud move isn't just a technical swap; it delivers measurable business impact:

 By eliminating manual bottlenecks and enabling faster access to dependencies, teams often see 

 Centralized policy enforcement and automated vulnerability scanning move security from a "final check" to an integrated part of the build.

 removes the "toil" of server management, allowing your DevOps engineers to focus on product innovation rather than infra-maintenance.

 You trade hidden infrastructure costs and administrative salaries for a predictable, transparent SaaS model.

Evaluating alternatives: Beyond JFrog and Nexus

Many organizations begin cloud migration using legacy tools like 

, only to find they were built for a different era of infrastructure. Modern SaaS platforms eliminate the need to manage repository infrastructure while delivering stronger governance and global performance. As a result, more teams are looking for 

 that offer a fully managed, "Zero-Ops" experience.

 streamlines the process to minimize disruption and accelerate value realization.

Why global leaders migrate artifact management to Cloudsmith

, designed specifically for modern DevOps and secure software delivery for the security landscape of 2026 and beyond.

 A true SaaS experience with no databases to manage and no servers to patch.

 Hundreds of nodes deliver artifacts from the edge, ensuring your global build agents always have high-speed access.

 One single source of truth for Docker, npm, Maven, Python, and 30+ other formats.

 Automated provenance tracking and signature verification help keep you compliant with key security standards and ensure that what you ship is exactly what you built.

Conclusion: Don’t just move to the cloud – modernize what matters

Cloud migration is a rare opportunity to fix the "foundation" of your house before you move in the furniture. By re-evaluating your 

 now, you ensure your cloud-native future is fast, secure, and, most importantly, manageable.

The most successful cloud migrations don’t just replicate the past. They modernize the platform that powers everything built next.

 with our experts to simplify the process.

It is the practice of storing, securing, and distributing build outputs, such as Docker images or Maven packages, throughout the development lifecycle. It ensures your builds are reproducible and secure.

Why reconsider artifact repositories during cloud migration?

Updating your repository during a move avoids duplicate work and ensures that a legacy on-premises artifact manager doesn’t constrain your new cloud infrastructure.

What are the risks of keeping a self-hosted repository in the cloud?

 in the cloud still requires manual patching and scaling. This increases costs and creates "visibility gaps" that can lead to security breaches.

How does a SaaS artifact repository improve security?

SaaS platforms provide centralized governance, immutable storage, and automated compliance auditing, all of which are critical to a secure 

Parul Jhawar

Marketing

Why cloud migrations are the best time to re-evaluate your artifact management

For years, the bottleneck in software was “how fast can we write code?” Today, Generative AI shifts that bottleneck to 

For years, the bottleneck in software was “how fast can we write code?” Today, Generative AI shifts that bottleneck to “how fast can we secure it?”

As organizations move from experimentation to production-grade AI, they are discovering that traditional DevOps tooling wasn’t built for a non-deterministic world. For example, static software composition analysis (SCA) scanners that assume deterministic dependency graphs or CI policy gates that validate known build artifacts. When a model generates code rather than a human, the software supply chain changes overnight.

Securing non-deterministic systems: A practical guide for AI artifacts and LLMOps

, explores three emerging security frontiers that every organization adopting AI must address:

1. AI-generated code introduces supply-chain hallucinations

LLMs generate dependencies probabilistically, not deterministically. This creates the emerging 

 attack vector, where attackers register hallucinated package names suggested by AI tools and weaponize them with malicious payloads.Without validation and artifact governance, a single copied command can silently compromise an enterprise environment.

2. AI models behave like executable software, not passive data

Modern model formats can execute arbitrary code during deserialization, most notably through Python pickle-based loading.This 

 means downloading an unverified model from public registries such as Hugging Face or Ollama can result in full system compromise.Secure AI development requires scanning, signing, and favoring restricted formats like 

, alongside enforcing trusted provenance for every model artifact.

3. AI productivity and orchestration layers expand the attack surface

Frameworks that connect models to enterprise data and automate workflows introduce a new class of high-impact vulnerabilities.Recent RCE exploits in orchestration tools demonstrate that 

LLMOps infrastructure itself is now part of the software supply chain

, and must be sandboxed, authenticated, and governed like any production system.

Our full guide provides a strategic roadmap for navigating the shift from DevOps to LLMOps, deconstructing threats in frameworks like Langflow, and building a “sandbox-by-default” development lifecycle.

AI artifacts: The new software supply chain blind spot

In a world where software ships in seconds, teams are still chained to legacy systems built for a different era. What once passed as “good enough” for storing and distributing builds has become a drain on productivity - adding risk, slowing delivery, and quietly inflating costs year after year.

In this post, we’ll break down the hidden cost of legacy artifact repositories, discuss the importance of modernizing through cloud-native artifact management, and demonstrate how you can leave the old infrastructure that has been slowing your software supply chain.

Legacy artifact management involves older on-premise artifact repositories or in-house custom systems. These tools were designed in another era, when teams used monolithic applications and updates were done once a year or even less.

The modern reality is very different. Cloud-native development, continuous CI/CD pipelines, and distributed engineering teams need a modern artifact management approach that delivers scalability, uptime, and built-in security.

This is where legacy artifact repositories fall behind. Many teams assume that on-prem systems are “more secure” because they’re isolated, but isolation no longer protects against today’s threats. Most attacks now originate upstream, through open-source dependencies that already contain vulnerabilities, malicious code injections, or compromised packages. 

With the volume and speed of issues emerging in the open-source ecosystem, an isolated, self-hosted repository cannot keep pace without continuous scanning, real-time visibility, and automated updates. Without these protections, legacy artifact management becomes a blind spot in the software supply chain - quietly storing and distributing unverified or unsafe artifacts.

The hidden costs of legacy or on-premise artifact repositories

Legacy systems can feel safer to stick with - they’re already in place and “working.” But maintaining the status quo often hides bigger costs: outdated infrastructure, ongoing maintenance, and mounting security risks from unpatched or unsupported components.

Legacy repositories need to be manually patched, updated, backed up, and scaled. Teams spend valuable engineering time on server management instead of innovation. Each new project or environment increases the complexity of configuration and slows down the development.

Hosting artifact repositories either in on-prem or in self-managed cloud VMs requires continued expenditure on storage, bandwidth, and compute. The costs increase unintentionally as the size and volume of artifacts grows (especially large Docker images or build artifacts). Beyond infrastructure, many older systems also require costly vendor support contracts for upgrades, patches, and troubleshooting. These fees often increase over time and are non-negotiable.

Legacy systems often lack built-in scanning, access control, or software bill of materials (SBOM) capabilities. Lacking transparency in dependencies leaves teams exposed to vulnerabilities and unmet compliance requirements - something that enterprises will not be able to afford in 2025 and beyond's regulatory environment.

As repositories grow, performance bottlenecks emerge - developers face slower downloads, failed builds, and pipeline downtime, all of which directly slow release velocity and drain productivity.

Why cloud-native artifact management is a change worth making

Legacy tools may have provided the groundwork for early DevOps, but they cannot keep up with the current software landscape. Modern organizations need next-generation artifact management - cloud-native solutions designed for speed, security, scalability, and seamless integration with cloud-native CI/CD pipelines.

 platform is more than just a storage location for packages - it’s a critical pillar of your software supply chain security. It guarantees that every artifact, from source to deployment, is verified, traceable, and instantly accessible, regardless of where your teams are working.

These capabilities are exactly why more organizations are moving to modern, cloud-native platforms that combine speed, security, and scalability to support today’s software delivery demands - reasons we explore in detail below.

With legacy artifact repositories, engineering teams spend hours managing servers, applying patches, and juggling storage. A truly 

cloud-native artifact management platform

 is different from simply hosting a repository in the cloud—it’s built to auto-scale, self-update, and deliver continuous security without manual intervention. There’s no server downtime, no upgrade windows to schedule, and no need to plan for storage expansion - everything is handled seamlessly in the background.

Self-hosted systems cannot keep pace with the growth in artifact volume size. A cloud-native artifact management platform dynamically boosts its capacity to manage millions of artifacts across multiple teams, regions, and projects, 

Using elastic storage and edge caching CDNs, developers are always guaranteed a 

3. Built-in security and compliance from the ground up

In today’s world, threats move faster than ever. With malicious packages and supply chain attacks on the rise, cloud-native artifact repositories integrate vulnerability scanning, access controls, and SBOMs (Software Bill of Materials) directly into your pipelines.

This ensures that all artifacts maintained and shared are validated, trackable, and consistent with the industry regulations such as SOC 2, ISO 27001, and FedRAMP.

No extra patching or standalone security tools - modern artifact management 

 into every phase of your software supply chain.

4. Performance and speed that empower developers

A truly cloud-native artifact repository ensures artifacts are forwarded to the closest edge location, which significantly decreases both the time spent building and deploying, which has a direct impact on increasing developer productivity and CI/CD throughput.

Engineers can focus on building features rather than waiting on downloads or troubleshooting failed builds, making software delivery faster, more reliable, and predictable.

5. Seamless integration with the modern DevOps toolchain

Legacy repositories often require plugins or manual scripting to integrate with CI/CD tools. Cloud-native artifact management platforms offer native integrations with 

This ensures that artifacts flow seamlessly through your CI/CD pipelines, maintaining consistency, traceability, and reliability from development all the way to production.

6. Single visibility and governance between teams

In large organizations, artifacts are often scattered across multiple repositories and sometimes duplicated, making governance and visibility a constant challenge. A cloud-native artifact management system provides a centralized, single platform for managing visibility, audit, and access.

Administrators can also manage published, promoted, or consumed artifacts - to ensure compliance and reduce the risk of unauthorized access or obsolete dependencies.

In contrast to self-managed solutions that have unpredictable infrastructure charges, cloud-native artifact management follows a usage-based pricing scheme, which is predictable.

You pay for what you use. You do not expect to incur costs for hardware, maintenance, or downtime. This will ultimately lead to a reduced total cost of ownership (TCO) and a better understanding of the ROI of engineering time.

Moving legacy artifact management to a new, modern, cloud-native repository is not just a technical choice but a strategic one that enhances both the security, performance, and user experience of developing a product or service, as well as reduces costs in the long run.

Migrating from legacy artifact management to a modern, cloud-native repository improves security, performance, and the overall developer experience while helping reduce long-term operational costs. By centralizing control, simplifying scalability, and strengthening the software supply chain, teams can focus on building software more efficiently and securely.

How to upgrade from escape legacy artifact management (step-by-step)

The idea of moving away from on-premise or legacy artifact systems to a modern, cloud-native solution can be overwhelming, but with the correct plan, it is achievable.

Review what you store (packages, containers, Helm charts, etc.) and where.

Analyze utilization and access patterns -

 Learn which teams, pipelines, and tools rely on which repositories.

Select a modern artifact management platform – 

Seek capabilities such as universal format support, security scanning, policy management, global availability, and automation through integrations.

Migrate critical projects first, automate uploads, and validate integrations.

Once migration and validation are complete, phase out outdated systems to eliminate ongoing maintenance, reduce operational overhead, and free up resources for modern, cloud-native artifact management.

 Toolkit, combined with expert support, makes the transition seamless - preserving your history and metadata while enabling improved security and scalable infrastructure.

The real ROI of leaving legacy, on-premise artifact management behind

Teams that modernize and migrate to cloud-native artifact management see measurable returns:

Reduce infrastructure expenses by up to 60%.

Faster build and deployment times across CI/CD pipelines.

Improved developer satisfaction through simplified workflows.

Better compliance posture with automated vulnerability management.

Time spent maintaining a legacy repository directly impacts productivity and costs. Migrating to a modern, cloud-native artifact repository preserves operational efficiency and supports long-term software delivery improvements.

How Cloudsmith makes modern artifact management effortless

All of these challenges, including scalability, security, automation, and visibility, can be solved with a truly cloud-native approach to artifact management. And if you are planning a migration to the cloud, it is worth doing it right rather than sticking with your existing provider simply because it feels easier. A migration is already a major change, and it is the perfect opportunity to elevate your entire artifact management program. 

Cloudsmith was built from the ground up as a fully cloud-native platform that helps teams break free from the limits of traditional repositories, delivering seamless automation, built-in security, and scalable reliability in a single unified system.

Here’s how Cloudsmith enables that transition seamlessly:

 Cloudsmith is truly cloud-native which means hosting, scaling, and security are built in. Teams can focus on development without worrying about infrastructure maintenance and downtime.

 Whether you manage containers, packages, Helm charts, or custom binaries - with multi-format repositories, Cloudsmith provides one centralized platform for all your artifacts.

 Each artifact is scanned, signed, and tracked. Cloudsmith also has vulnerability scanning, dependency metadata, and SBOM generation built-in to ensure end-to-end security for your software supply chain.

 Artifacts are served over Cloudsmith’s global edge network and minimizing latency and providing fast and reliable builds across the globe.

 Cloudsmith integrates seamlessly with the latest DevOps platforms: GitHub Actions, GitLab CI, and Jenkins - enabling teams to automate artifact workflows, reduce manual errors, and accelerate software delivery.

A modern, cloud-native artifact repository like Cloudsmith simplifies operations, strengthens security, and accelerates software delivery - without the hidden costs or complexity of legacy systems.

Summary: don’t let legacy on-premise artifact management hold you back

Legacy artifact management is not only dated - it’s also costly, risky, and non-sustainable. The emerging generation of cloud-native artifact management platforms, such as Cloudsmith, transcends complexity with confidence, enabling teams to achieve the visibility and velocity required to build securely at scale.

The faster you retire legacy systems, the sooner your organization can build securely, on a truly modern, cloud-native platform.

1. What is legacy artifact management, and why is it a problem?

The management of legacy artifacts encompasses older systems (typically 

) used to store and distribute software packages. Such systems do not offer the automation, scalability, and integrated security that are needed in modern DevOps, resulting in inefficiencies and increased operational costs.

2. What are the unknown expenses of legacy artifact repositories?

Beyond licensing, teams also bear the costs of infrastructure maintenance, downtime, manual updates, and security risks. These hidden expenses can quickly add up, often exceeding the investment required for a modern, cloud-native alternative.

3. How do I migrate to a modern artifact repository?

Begin by auditing your existing repositories, determining dependencies, and automating the migration with the help of migration tools (such as Cloudsmith’s Migration Tool). The advantage is to retain the integrity of artifacts with the purpose of avoiding manual management.

4. Why choose a cloud-native artifact repository over self-hosted options?

Uptime, scaling, and security are automatically managed on cloud-native platforms. They are CI/CD integrated, can distribute faster worldwide, and can eliminate maintenance overhead, allowing your developers to focus on their core tasks

5. How does modern artifact management improve security and compliance?

Modern artifact systems integrate vulnerability scanning, SBOMs generation, and access control. This will ensure artifacts are secure, traceable, and compliant – which is essential to securing your software supply chain.

 101 Leave Legacy Behind

The true cost of legacy artifact management

The Hybrid Repository Structure: Balancing Control and Flexibility

And now, let’s dive into part three: How 

 keep your multi-format repositories secure, consistent, and developer-friendly.

In the first two blogs of this series, we explored why repository structure matters and how Cloudsmith’s Hybrid Repository Structure balances control with flexibility. While we touched on policies and permissions, we didn’t dive into the 

 mechanics of how access control ensures artifact security, traceability, and consistency, especially in 

, where different packages, languages, and tooling coexist in a single place.

While multi-format repositories allow for more flexibility in how your repositories are set up, they can introduce a new way of thinking about how and when different artifacts can be accessed and by whom. This blog breaks down how Cloudsmith provides fine-grained, flexible, and secure controls for teams of any size.

Cloudsmith provides the following user roles:

These roles help limit access based on organizational need and provide the foundation for more granular permissions.

You can explore the full breakdown of Cloudsmith roles, permissions, and privileges in our documentation.

You can read more about user roles, permissions, and privileges in Cloudsmith 

Every Cloudsmith customer is given the opportunity to set default global privileges. These global default privileges are set for the “Member” user role in Cloudsmith, which is often suited best for individual developers. Within a customer’s global workspace privileges, organizations can choose to grant members the ability to create new teams, invite new users, and even create new repositories. Organization owners can also grant “blanket” repository privileges to all users within Cloudsmith. 

While we offer the flexibility for organizations to shift responsibility and access to the developer, we often see our enterprise customers lean away from blanket permissions and access toward more fine-grained permissions. As an example, we have a semiconductor manufacturing customer that has disabled default workspace global privileges so that only Organisation owners are the only users who can invite new users, create new teams, invite 3rd-party collaborators, and create new repositories. 

In addition, this customer has access control, and privileges are scoped down to specific teams. Default global repository privileges are disabled so that they can choose exactly which team(s) should have access to repository(s). Even Cloudsmith service accounts are grouped together within a team for ease of tracking permissions and access when it comes to build and deployment times. 

If we zoom in once and look at the repository level in Cloudsmith, we can assign a default privilege for organization members for accessing packages within the repository, and we can assign specific privileges for specific teams, users, or service accounts.

This is the stage where you’ll have to consider what packages the repository is storing and if you want developers and service accounts to have default admin, read, or write permissions to the repository. Continuing to use my customer example, they have chosen to set default read permissions for all repositories; however, specific service accounts have write and 

 to different repositories. You may be okay with your developers downloading artifacts to their local machine for testing or even service accounts requesting stored artifacts tied to staging and production environments.

On the other hand, there are customers that may not want their developers having the ability to write to every repository and would most likely want specific service accounts tied to their CI/CD pipelines to only have write permissions. While this is generally best practice, there are certainly exceptions to this rule, as we also have platform teams that choose to grant specific developer teams write access to specific artifact repositories.

On top of the permission and access control settings we’ve discussed, Cloudsmith goes even further to ensure that, through various additional settings, platform teams can decide exactly what their developers need and don’t need to be reconfigured within a repository.

Platform teams are able to grant or deny developer permissions, such as:

Copying Packages From One Repository to Another

Moving Packages From One Repository to Another

Managing, Using, Or Viewing Entitlement Tokens

If you thought that wasn’t enough, Cloudsmith takes it a step further by scoping down permissions to the individual developer’s generated packages. So while platform teams can restrict tampering of artifacts generated by other developers or systems, they can also decide if they would like to allow developers the ability to scan, move, copy, delete, or resync their own packages.

Most of the enterprise customers I work with allow developers to do as they please with their own packages to avoid a developer mutiny! In either case, these user actions are catalogued in our 

 for enhanced observability across your Cloudsmith environment.

For instances where our customers want to be very particular about what, how, and when users can access specific packages, Cloudsmith offers 

. These scoped tokens are read-access only, so there is never a risk of a user performing a write action against the repository they have limited access to.

Customers are able to restrict access by creating a precise search query to narrow down specific packages within a repository, should they choose not to provide visibility into all the packages within the repository. On top of visibility restrictions, customers can also add token usage restrictions to avoid prolonged access and usage of the token. Parameters include:

Typically, we see our customers use entitlements for 3rd party software distribution or even for systems that don’t require logins to Cloudsmith.

Cloudsmith Blog

Why cloud migrations are the best time to re-evaluate your artifact management

AI artifacts: The new software supply chain blind spot

The true cost of legacy artifact management

Access control & permissions for multi-format repositories

The Hybrid Repository Structure: Balancing Control and Flexibility

7 Ways Cloud-Native Improves Artifact Management Scalability and Performance

The platform of choice for AI companies

Why Repository Structure Matters

Choosing the Right Artifact Management Platform for Enterprise Scale

Cloud Native Vs. On-Premise Artifact Management - A Complete Overview

Artifact Management: A Complete Guide

Open Container Initiative (OCI) Support in Cloudsmith