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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 But maintaining the status quo often hides bigger costs: outdated infrastructure, ongoing maintenance, and mounting security risks from unpatched or unsupported components.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.

Parul Jhawar

Marketing

 101 Leave Legacy Behind

The true cost of legacy artifact management

In modern enterprise software delivery, security and speed must work together—without compromise. As the development team expands, the number of software artifacts they build, like containers, packages, binaries, configuration files, and Helm charts, grows rapidly.

 is a cornerstone of DevOps and CI/CD pipelines. Not only does it centralise the results of your builds, but it also stores, secures, and distributes them so that developers, automation services, and production systems can use the right version of software at the right time.

In the case of enterprises, the potential of making the wrong choice of platform may result in integration troubles, regulatory risk and deployment delays. The right artifact platform, however, can transform your software supply chain into a secure, globally accessible, and automation-ready ecosystem.

This guide explores why artifact management is important at enterprise scale, what features to prioritise, and how to select a solution that connects both technical and business goals.

Why artifact management is essential for enterprises

Enterprise DevOps teams have their own special scale and governance problems that are more than just larger versions of those seen in small organisations. Without a dedicated artifact management solution, artifacts may be scattered across cloud buckets, file servers, and developer machines—leading to versioning chaos, security blind spots, and delivery bottlenecks.

Common enterprise-level challenges include:

A single enterprise CI/CD pipeline might generate thousands of new artifacts per day across multiple teams, languages, and microservices. It is necessary that these are stored, retrieved and prioritised efficiently.

Organizations rarely build in only one package format. You might need to store Docker images, Python wheels, npm packages, Java JARs, Helm charts, and even proprietary binary formats.

Distributed teams need fast, reliable artifact access no matter where they are. Build and deployment times may escalate without worldwide replication and/or CDN caching.

Enterprises in regulated industries (finance, healthcare, government) must track, verify, and audit artifacts to meet compliance standards like ISO 27001, SOC 2, HIPAA, or FedRAMP.

Malicious actors increasingly target artifact repositories to inject backdoors into the software supply chain. Without artifact signing, vulnerability scanning, and access control, these risks multiply.

An enterprise-grade artifact management platform is not just storage—it’s a secure, scalable, policy-driven system for managing the entire artifact lifecycle.

Key features to look for in an artifact management platform

When evaluating an artifact management solution, enterprises should prioritize these capabilities:

An effective artifact management solution must deliver enterprise-grade security. This includes built-in vulnerability scanning and SBOM generation, role-based access controls, and artifact signing and verification. All these characteristics combine to give end to end supply chain security to the whole pipeline.

At enterprise scale, an artifact management platform must easily adapt as new teams and projects are created. The solution of choice must be able to cope with increasing workloads without interrupting performance, and it must be able to integrate with any DevOps toolchain. This elasticity ensures artifacts remain accessible and reliable, even as organizational demands evolve.

The right artifact management platform should handle all major package formats (Docker, npm, Maven, Python, Helm, etc.) and integrate with CI/CD pipelines like GitHub Actions, GitLab CI, or Jenkins.

High availability and global distribution

Businesses cannot afford to go down. Search for multi-region replication and content delivery acceleration, which minimizes latency in geographically distributed teams.

An artifact management solution must help enterprises meet strict compliance requirements. Features like audit logs, retention policies, immutability, and automated expiry ensure artifacts remain both secure and compliant.

To improve operational efficiency, enterprise teams should consider a solution that provides storage optimization, automated cleanup, and predictable pricing models. A scalable software artifact repository prevents uncontrolled growth in costs while keeping systems clean.

How to evaluate and select the right artifact management platform

Choosing an enterprise artifact management platform isn’t just a technical decision—it’s a strategic investment that impacts cost, security, and development velocity.

Your platform should support the full spectrum of artifacts your teams produce, whether that’s containers, language-specific packages (npm, Maven, PyPI, RubyGems), or OS packages. (RPM, DEB), binaries, Helm charts, or even configuration files. Broad format support reduces tool sprawl, simplifies workflows, and prevents the overhead of maintaining multiple systems for different artifact types.

An artifact management solution should connect seamlessly with your CI/CD pipelines, version control systems, and DevOps workflows. Native integrations with tools like GitHub Actions, GitLab, Jenkins, and Kubernetes ensure artifacts move securely and automatically from build to deployment without manual intervention or fragile custom scripts.

Enterprises must ensure their artifact management platform includes vulnerability scanning, artifact signing, and audit logging. Framework compliance built in (SOC 2, HIPAA, FedRAMP, GDPR) mitigates risk and enhances 

. Using a platform that eases compliance avoids disruption during audits.

The platform must be able to scale in the case of increased workload as the number of teams and projects increases. Look for elastic scaling that accommodates thousands of developers, global teams, and massive artifact libraries without downtime. Scalability ensures that your repository grows with your enterprise, supporting continuous uploads, downloads, and artifact access without becoming a bottleneck.

Enterprises have to find an equilibrium between scalability and cost. Consider platforms based on features such as auto-cleanup, retention, and immutable storage, which lower overhead. Transparent pricing models and strong governance controls ensure your software artifact repository remains sustainable as usage scales.

Best practices for enterprise artifact management

Picking the proper platform is one half of the equation – what you do with it will determine if you’re truly benefiting from its features. These best practices will help enterprises maximise efficiency, maintain security, and keep artifact repositories healthy over time.

The security must begin as soon as possible in the software development lifecycle (SDLC).

Integrate vulnerability scanning, artifact signing, and integrity checks directly into your build pipelines.

Early security problem detection and remediation minimize the cost and the risk of shipping vulnerable software.

Once an artifact is published and tagged for release, it should never be altered.

 Make production artifacts read-only and use versioning to publish updates instead of modifying existing builds.

It guarantees that reproducibility prevents tampering and that the deployments are repeatable across environments.

Over time, unused artifacts accumulate, driving storage costs and clutter.

 Implement retention rules to automatically delete old or unused artifacts after a defined period.

it minimises the costs of infrastructure, enhances repository performance, and makes storage manageable.


Consistent naming across teams avoids confusion and makes artifacts easier to locate.

 Adopt and enforce a repository naming convention to include project names, version schemes, and branch markers.

It enhances collaboration, minimizes the issue of human error, and accelerates search and automation tasks.

For global teams, distance from the artifact source can create deployment delays.

Use a platform with multi-region replication or CDN-based caching so artifacts are served from the closest location to the consumer.

 It reduces latency, makes build and deployment much faster, and makes performance consistent across the globe.

At enterprise scale, artifact management is not just about storing files—it’s about ensuring trust, speed, and governance in every step of software delivery. In a world where software supply chain attacks are accelerating, your artifact management platform is the fortress that safeguards your software assets and the delivery engine that keeps your teams moving fast.

 is no longer just a technical decision—it’s a strategic investment in enterprise resilience, security, and scalability. By prioritising cloud-native design, robust security, and compliance, enterprises can ensure that their software artifact repository supports both current and future business goals.

1. What is an artifact management platform? 

A tool that stores, secures, versions, and distributes software artifacts like Docker images, packages, and binaries.

2. Why is artifact management important for enterprises? 

It centralizes artifacts, improves security, ensures compliance, and speeds up delivery.

3. What should I look for in an enterprise artifact management platform?

Support of multiple formats, high availability, robust security, CI/CD integration, and worldwide distribution.

4. How does artifact management improve software supply chain security? 

By scanning for vulnerabilities, enforcing signed artifacts, and keeping an immutable audit trail.

5. Can artifact management platforms be integrated with CI/CD pipelines? 

Yes, to automate artifact publishing, scanning, and promotion.

6. How does a cloud-native artifact management platform benefit global teams? 

It provides high speed, worldwide availability based on CDN publishing, and no server administration.

7. Can an artifact management platform help with compliance? 

Yes, by enforcing policies, maintaining logs, and ensuring only approved artifacts are deployed.

Choosing the Right Artifact Management Platform for Enterprise Scale

Where to host your software artifacts is one major decision in this fast-paced DevOps world, where success is pegged on scalability, security, and velocity. Organisations have stored and held binaries, packages, and container images in on-prem artifact repositories. Cloud-native artifact management is increasingly significant as cloud consumption becomes mainstream.

Then what is causing this shift? So why are teams shifting towards cloud-based systems instead of on-premise solutions? Let us simplify that.

Understanding cloud-native artifact management

Cloud-native artifact management is a contemporary approach to storing, securing, and distributing software artifacts—such as packages, container images, and binaries—using scalable, resilient, and fully managed cloud infrastructure.

What does “cloud-native” really mean?

Fundamentally, "cloud-native" is about developing and operating applications with cloud technologies in mind for speed, scalability, and automation. Rather than using physical machines or static infrastructure, cloud-native infrastructure employs dynamic environments—such as containers, microservices, and serverless functions—that can change and scale based on requirement.

For the Cloud Native Computing Foundation (CNCF), cloud-native approaches allow companies to develop and deploy software "at scale, in a programmatic and repeatable way" across public, private, or hybrid clouds. This is translated to faster releases, reduced manual touch points and a shorter development cycle.

Bringing It Together: Cloud-Native + Artifact Management

On-premises conventional artifact stores require internal infrastructure, handiwork upgrades, and specialised facilities to be ready and responsive. Cloud-native 

It is not a tool; it is a DevOps catalyst. Whether you are dealing with internal builds or open-source packages, cloud-native solutions provide more reliability and speed, and less operational worry.

What is so important in the context of the modern software supply chain?

While the software supply chain is becoming more sophisticated and security-oriented, embracing a cloud-native artifact management platform comes with several key advantages:

 Can grow and shrink on demand to take advantage of sudden demand spikes (e.g, CI/CD cycles, releases) without new hardware.

Scaling is tedious and costly since buying and setting up additional infrastructure is necessary.

Edge nodes/CDNs are distributed in the world so it uses edge nodes/CDNs to distribute artifacts in such a way that they are closer to their covers thereby reducing latency in distributed teams.

Locations are fixed on this plane of existence to the location of your physical data center and your remote teams might have slower downloads.

3. Intermediate availability & resilience

Constructed of redundant, fault-tolerant architectures that have uptime SLAs and are self-failing-over.

Can only be used with dedicated DR infrastructure and requires plans for failover, which is sometimes expensive and complicated.

The vendor is in charge of patching, scaling, back-ups, upgrades, and security monitoring.

Your team is forced to deal with maintenance, upgrades, and monitoring- distracting them off the ability to deliver software.

Common are continuous security patches, access controls, encryption and compliance certifications (SOC 2, ISO 27001, FedRAMP, and more).

Your security depends upon in-house capabilities and budget; compliance checks require manual action and are time-consuming.

6. Content with shorter innovation cycles

 Features, additional integrations, and performance updates are released automatically- no downtimes to upgrade.

There is a feature lag in on-prem, as well as upgrades that need scheduled maintenance windows.

Rather than large capital costs and idle capacity, pay-as-you-go or subscription models eliminate large capital expenses and idle capacity.

Large initial CAPEX, and continuous Overhead


In brief, cloud-native artifact management integrates the most advantageous features of DevOps, cloud computing, and security. It is highly efficient in terms of software building, storing, and delivery without the complexities associated with traditional infrastructure.

On-premise artifact management – The old guard

Businesses had been hosting repositories such as Nexus, Artifactory, or even internal solutions on their own infrastructure for many years. This strategy can continue to work with the firms that:

required complete authority over their data.

worked at workplaces that had rigorous compliance

The difficulty? The following frequently appears in on-premises solutions:

One-time hardware and maintenance overheads High

limited scalability when more workloads are added

High operational costs necessitate specialised DevOps teams

Comparison between cloud-native and on-premises models

The table below is a comparison of the two most popular sets of architectural methods, cloud-native and on-premises, with the centre requirements of an artifact management system.

Cloud-native technologies that make it possible

Central technologies that support cloud-native development are emphasised by the CNCF:

 Package dependencies (such as Docker) and the code so that the same code runs equally in each environment.

 Divisibility of large applications into small services in order to render them manageable and extensible.

 Software that enables safe and reliable service-to-service communication to be made possible, like Istio.

 Serverless structures are best applied in the case of event-driven work, as they support writing the code to run without a direction towards a server.

 As opposed to manually patching servers, deploy applications as units of exchange.

 Declarative APIs can greatly increase automation and consistency due to their infrastructural and application state declarations via configuration files.

Due to this technology stack, developers are able to develop cloud-ready applications from the start, making them easier to scale, deploy, and secure.

The requirements of an effective artifact management system

A modern artifact management system must meet a well-defined set of operational and architectural requirements. These requirements ensure that artifacts can be stored, distributed, secured, and governed at scale.

Monitoring, Observability, and Traceability

Cloud-native apps, automated deployments, and CI/CD pipelines allow for quicker development cycles. This means that companies can respond promptly to changing consumer needs and market forces.

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