In the expanding 5G world, the new normality is a hyper-distributed, extremely diverse IT landscape. Applications are exploding and are more critical than ever. As a result, networks will face increased demands on their infrastructure and immense pressure to maximize space and resources.
That is why unified Telco applications and network functions on one platform will help deliver a full-stack Telco Cloud solution based on 5G architecture. In addition, these systems should be able to integrate oRAN network functions and deliver extensive automation and programmability.
5G Telco Cloud
The Telco Cloud is a crucial anchor point in the 5G architectural transformations. Architecture Transformation with 5G should be based on cloud-native technologies and operations in Mobile networks. The new architecture should support decoupling and disaggregation of hardware and software to utilize best-of-breed innovation. The centralization of network functions will provide for optimal performance, resource utilization, and reliability. In addition, the 5G Operators should embrace a multi-vendor architecture and open-source software and adopt a philosophy based on automation.
This new cloud model will lead to turn-key repeatable, secure, and predictable deployments. At the same time, an extensive automation approach will lead to high performance and optimal resource utilization. Furthermore, seamless programmatic integration with Telco OSS/BSS will provide programmatically repairable and extensible deployments.
Existing organizational structure
IT operations teams are already feeling the pressure of an always-on digital world. Furthermore, most organizations want to release new changes weekly or more frequently and restore service within twenty-four hours. This can only happen with an extensive reach across any infrastructure and any workload. Following a unified operating model for IT Operations, infrastructure and DevOps teams will provide intelligent real-time actions to balance the risk, cost, and control.
These teams need to balance app performance and cost. However, existing resources are either siloed with different tools for different application stack layers or flying blind with no unified view of the complex infrastructure and app dependencies across on-premises and public clouds. Struggling to separate signal from noise and prioritize the constant flow of alerts coming from separate tools creates a significant challenge in making real-time decisions based on dynamic application demand and capacity.
5G Cloud solution
The solution to assuring application performance and reducing cost in this complex world is intelligent software to manage the application resources. Full-stack Automation will allocate and optimize resources in real-time. At the same time, complete visibility is needed into the app and infrastructure interdependencies.
The new 5G Cloud solutions should optimize the workload to simplify application resource management, reduce OpEx and preserve capital. The workload optimizer engine should navigate multiple, complex trade-offs across hybrid cloud environments to ensure high-quality performance. Furthermore, performance compliance cost actions should be executed automatically to ensure app performance.
In order to simplify resource management, the system is expected to collect, analyze and stitch together infrastructure resource telemetry data across all environments, preferably with a single tool. As a result, continuous optimization of IT app resources will lead to more efficient use of existing infrastructure and lower operational costs.
Cloud infrastructure environment
App workloads and infrastructure dependencies can be captured across the stack. As far as Analytics is concerned, the environment can be modeled as a market of buyers and sellers. The workload optimization concept applies supply, demand, and price principles to match app demand to the infrastructure supply. This resource optimization takes place in real-time to ensure app performance and guarantee minimum costs. Actions can be manual or automated. These automated actions include sizing and placement, provisioning, and the process of retiring resources.
The infrastructure utilization can be increased by avoiding overprovisioning. This incremental increase can eliminate infrastructure as the cause of application performance degradation. IT transformation projects across heterogeneous networks can improve IT staff productivity by simplifying complex tasks, automating decision-making, and gaining time to innovate.
Acceleration and de-risking of multi-cloud projects can safely and efficiently migrate workloads between premises and the public cloud to reduce cost and increase efficiency. Optimization of public cloud spend can also be achieved by consuming and paying only for what the business really needs, while assuring application performance.