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Download DatasheetExtending legacy telecom workloads to hybrid cloud ecosystems means preserving the core operations like network functions and billing systems that were running on the existing infrastructure and connecting them to public cloud and edge environments. This helps in leveraging the benefits of cloud, AI, analytics, and real-time services. It is a phased approach that avoids the risks of a full migration, as it requires a complete shutdown, and it is not possible in the telecom sector.
Studies have shown that by moving to a hybrid cloud environment from the outdated legacy infrastructure, telecom can cut operational costs up to 30 to 40 percent, while edge computing is projected to unlock $150–200 billion in telecom enterprise revenue by 2030. This also addresses the security gaps in older signaling protocols that are tied to roughly $41.82 billion in annual telecom fraud losses. Considering such heavy losses and given challenges, the best approach for migrating critical workloads from legacy systems is the phased modernization strategy rather than a rip-and-replace strategy, as that risks both service reliability and revenue.
Generally, telecom operators think that the legacy stack is a problem that can be resolved by ripping it overnight. But that’s not the case. Most of the time, it is presumed that legacy systems are a liability, and the only path forward is a full public cloud migration. But the reality on the ground looks very different.
Critical telecom legacy workloads include core network functions, billing engines, and OSS/BSS platforms. They have run reliably for several decades and carry enormous operational value. Replacing them in a single move can be risky, and it impacts the reliability telecom networks are built on. The smarter way is the hybrid cloud approach, where you can preserve the legacy workloads and leverage the modern benefits of cloud without any rip-and-replace.
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Telecom networks are designed on a centralized framework with tightly coupled platforms to scale up performance and reliability. These designs have served operators for decades, but with the rise of 5G, AI-driven services, IoT, and enterprise digital offerings, it has compelled them to rethink. The outdated architectures have centralized systems that slow the distributed, real-time services that operators must deliver without any interruptions.
Reports have shown that nearly 70% of telecom operators cite OSS/BSS complexity as a primary obstacle in digital transformation. By modernizing the infrastructure, they can leverage new capabilities that are layered around them to improve efficiency, scalability, security, and drive innovation. So, rather than choosing between “keep everything on-premises” and “move everything to the cloud,” a hybrid environment allows telecom operators to distribute workloads across private infrastructure, public cloud, and edge locations depending on their latency, regulatory, and performance needs.
The core network functions and regulated data remain where governance is strongest, i.e., on-premises like x86 systems. While the AI workloads, analytics, and customer-facing digital services scale where elasticity matters most. Statistics have shown that modernizing infrastructure around hybrid cloud and edge computing can reduce operational costs by up to 40%.
Considering a full migration may look nice on paper for legacy telecom systems, but practically, it is one of the riskiest moves an operator can make. The major drawback for this approach is shutting down the core for a simultaneous update without interrupting critical business processes, which is not possible.
Another issue is security. It is not to be underestimated. Outdated signaling protocols such as SS7 and Diameter lack modern security measures like built-in authentication, and they can be easily exploited by threat actors who are actively looking for vulnerabilities. Based on the CFCA Global Fraud Loss Survey, the global losses from telecom fraud are estimated at approximately $41.82 billion annually. This figure alone is alarming, showing the cost of still operating on legacy environments.
But the question here is not about legacy versus cloud but how to extend legacy workloads into hybrid environments without exposing them to vulnerabilities while eliminating the risks and leveraging the benefits of modernizing. So, the phased migration approach, also known as the Strangler Fig approach, is used. In this process, the deployment of an API-first integration layer is carried out over the existing monolith, followed by gradually decoupling individual functions into cloud-native modules. Finally, migrating network functions to modern infrastructure. This is a hybrid cloud strategy applied to telecom infrastructure. It protects the critical workloads while opening the door to new capabilities.
Here are some benefits of extending telecom workloads to a hybrid cloud environment:
Sharing infrastructure across workloads helps maintain a dedicated system for every function. This reduces both capital expenditure and operating costs, which frees resources and budget that can be later utilized for AI and digital-service investment.
Cloud-native architecture built from independent microservices, automation, and DevOps practices. These let telecom operators respond to market demand early and launch new services faster than outdated systems.
Hybrid cloud improves disaster recovery as it allows replicating the workloads and failover across both private and public environments. This helps minimize downtime, which helps prevent any compliance and regulatory challenges.
A survey report from McKinsey estimates that edge computing could unlock $150–200 billion in telecom-related enterprise revenue opportunities by 2030, driven primarily by industrial automation, AI services, and real-time data platforms. These opportunities do not require discarding the legacy core but smartly connecting to it while leveraging the benefits of modern tech.
Here are some real-world examples:
Enterprises can now connect the production equipment to private 5G networks, with edge computing processing sensor data locally. This helps the machinery and robotics to be controlled in real time, while core billing and network management continue to run on established, centralized systems (on-premises).
Detecting anomalies to prevent hardware failure by analyzing the machine data from industrial sensors.
According to the IDC Telco Forum, telecom companies are shifting from traditional connectivity providers to full-stack technology suppliers, which is a structural change to gain profitability and open new opportunities. Operators already sit on geographically distributed infrastructure. Hybrid cloud abstracts that infrastructure into a programmable platform that is capable of delivering AI services, GPU-as-a-Service, and enterprise digital offerings while preserving network functions.
For operators running legacy telecom workloads on aging SPARC, VAX, Alpha, or PA-RISC hardware and who do not want to entirely move their infrastructure but are looking for flexible options, a hybrid cloud approach is the best option for them. It is especially for regulated industries that cannot move their entire workloads to the cloud due to regulations. So, here they can keep their sensitive information on-premises while migrating required applications and workloads to the cloud. This will improve their operations efficiency, scalability, and flexibility.
This approach also eliminates the legacy hardware dependencies. It means no more aging hardware challenges while leveraging the benefits of modern platforms. Stromasys Charon emulates that legacy hardware in software, letting the original operating system and application run unchanged on the on-premises (standard x86 infrastructure) and in a cloud environment. Businesses can choose from different cloud partners. This way, they can preserve the application logic operators depend on while eliminating aging, single-point-of-failure hardware. It gives operators the stable foundation needed to sequence OSS/BSS modernization and hybrid cloud adoption on their own timeline.
For more information on
how you can continue operating critical telecom operations without any disruptions, contact our Stromasys experts.
First, you need to recognize and understand that legacy systems are not dead weight. They were once the backbone of the core telecom operations but are unable to keep up with the evolving technology. By extending legacy telecom workloads into hybrid cloud environments, you are just extending the life of the critical legacy workloads running on obsolete hardware that can fail anytime and result in a total shutdown. A rip-and-replace may sound like a comfortable strategy to completely transform the infrastructure. But it is not an ideal approach, as forcing an all-at-once migration means taking on unnecessary risk to billing accuracy, service continuity, and security, especially given how exposed and vulnerable the older signaling protocols already are to cyber threats.
With a hybrid approach, telecom operators can move the core functions to trusted cloud infrastructure, leveraging AI, analytics, and customer-facing services scaling. It delivers the innovation speed the market demands without compromising reliability and stability.
Extending telecom legacy applications such as billing, OSS/BSS, and network functions running on existing infrastructure to hybrid cloud means connecting to a new environment to leverage the benefits of the new infrastructure to improve their efficiency, scalability, AI processing, or low latency.
The core telecom operations cannot be halted for simultaneous updates without disrupting critical business processes. Therefore, a full migration approach is not suitable approach to move to a hybrid environment. Apart from that, one move also increases exposure to billing errors, service outages, and security gaps during the migration process.
Strangler Fig approach is a phased modernization pattern. In this approach, an API-first integration layer is deployed over the legacy architecture, then the individual functions are gradually decoupled into cloud-native modules, and finally network functions are migrated when the system is stable.
To ensure robust security during the hybrid telecom transition, the legacy signaling traffic is isolated using firewalls and gateways, while Zero Trust principles are applied to new cloud-native components. This requires strict authentication for every API request in the modern layer.
The telecom sector can leverage benefits like AI-driven network optimization, multi-access edge computing for enterprise services, and real-time analytics. This also requires a mix of fast local processing and scalable centralized resources for better efficiency.
Sanjana Yadav is a versatile content writer with a strong passion for exploring trending technologies and digital trends. Driven by curiosity for industry innovations, she specializes in transforming complex concepts into engaging and compelling narratives that drive results and help brands connect with their audiences and achieve their business objectives.
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