Blog Sample: Telco AI Paradigm Shift: The Evolution of CI/CD & the Genesis of CV/CA

Traditional means of managing telecommunications networks are obsolete, and automation is at the forefront of development. The market-driven demand for automation presents a significant challenge to operators that requires a paradigm shift from reactive to proactive network monitoring, maintenance, and assurance.

Paradigm Shift Happens: Learn to "Operate Differently."

The increased capabilities of telco networks, driven by software-defined network disaggregation, necessitate improved network visualization, monitoring, and assurance. B-Yond provides AI-Infused Network Services, automation solutions, and products to mediate this demand. B-Yond's automation solutions entice the telco industry to "Operate Differently" by providing the means to scale network optimization and monetization.

The Impetus: Market Demand and Industry Competition

Amidst the increasingly diversified telco provider landscape, leveraging the power of AI to achieve comprehensive automation is the mandate for attaining success. B-Yond's AI-infused NetDevOps tools and business chain solutions facilitate the genesis of closed-loop automation. This shift is mandatory and inevitable due to technological advancement, market demand, and the broadened scope of network development and maintenance. Giants in the telecom industry have been actively pursuing automation transformation for years, with some claiming that their "network will be 55-75 percent virtualized by 2021" (TM Forum).

Catalyze Advancement: Data-driven Transformative Disruption

Modernizing telco networks entails fragmented vendor landscapes, network function disaggregation (VNF, CNF), software-defined networking (SDN), and transitioning to a hybrid telco cloud. As a result, the telecommunications industry is in a metamorphosis geared towards faster, automated, and continuously self-healing preproduction networks and production network services. This automation innovation will exponentially boost efficiency and ROI. B-Yond is on the frontier of the telecommunications remodel, working tirelessly to catalyze advancement in the industry by providing partners with the most cutting-edge AI-infused transformative network management approaches.

Use case results substantiate that AI isn't just hype; it's a requirement.

The Way Forward: Continuous Assurance

Several operators have unsuccessfully tried leveraging Continuous Integration (CI) and Continuous Deployment (CD) from Staging to Preproduction to Production. These costly endeavors haven't delivered tangible results. The proven methodology for fast, optimized, and monetized network service deployments combines Continuous Validation (CV) and Continuous Assurance (CA). Though traditional CI and CD toolchains are well-known and revered, the narrative surrounding their autonomous efficacy is changing. Applying CI/CD to Telco workloads and network functions is challenging. CI & CD are parts of the end-to-end process to ensure that each new function or version journeys through multiple environments (recently, hybrid clouds) and undergoes testing for software consistency to deliver network services quickly and effectively. AI-Infused Continuous Validation (CV) enhances CI/CD by guaranteeing that the network function operates as a self-contained, seamless software solution that supports an end-to-end service. AI-Infused CV comprises three phases of validation:

· Interface Level Validation – validating interop and standards compliance metrics

· Sub-System Level Validation – validating compliance to telco service levels

· End-to-End (E2E) Service-Level Validation – validating Service Delivery Experience (SDx)

Each validation phase must operate in part and jointly through various scenarios.

Many operators are attempting to manage the need for CV, albeit unsuccessfully. The challenge is two-fold. First and most impactful, a significantly higher degree of volume and scale is required and expected across all telecom networks. Secondly, increases in individual functions are accompanied by a multitude of testing scenarios. Increased testing detects higher volumes of errors requiring analysis, causing further production delays. Accordingly, this increase in testing volume requires supplementary automation and precise fault and error isolation. B-Yond mitigates this issue by introducing AI-Infused Continuous Validation to identify testing fallouts and pinpoint root errors automatically. As a result, the automation cycle can finally scale to meet the much-needed demand.

In pursuit of fully automated, self-healing networks, CI/CD & AI-Infused CV must be engaged throughout preproduction and production networks. B-Yond deploys its AI-Infused Continuous Assurance (CA) chain to monitor all components of the network and its services in search of any anomalies that may occur, either by passive data consumption or via active injection of simulated service consumption. Once an anomaly is detected, the final step is locating the root error to initiate remediation.

B-Yond's AI-infused end-to-end life cycle network and service automation product, AGILITY, fulfills CSPs' needs in the race to automate. The need for telcos to adopt AI Infused Continuous Validation and assurance solutions to remain lucrative and competitive is indisputable. The call to action is clear; it's time to "Operate Differently."