Telco Cloud Fundamentals

Cloud-native networks may help operators minimize energy use, reduce carbon footprints and lower costs Cloud-native architectures are reshaping telecom networks, often spotlighted for their agility, speed to market and operational …

Telecom operators are moving from legacy systems to cloud-native networks built for speed, scale and resilience As global data demands accelerate and next-generation services take shape, the telecom industry finds …

In a world of cloud-native infrastructure, is the network still the backbone — or just another service in the stack? As telecom networks evolve into cloud-native, software-defined platforms, operators are …

Telcos are adopting chaos engineering to test resiliency, reduce downtime and ensure systems can withstand real-world failures — before they happen. As telecom networks adopt increasingly complex cloud-native architectures, traditional …

DevOps is the strategy of bringing together development and operations teams to collaborate to automate the network lifecycle; CI/CD is the execution of this strategy Vertically integrated, monolithic systems are …

As networks go cloud-native, telecom operators face pivotal choices between telco private clouds or public and hybrid clouds As telecom networks transition to cloud-native architectures, operators face key decisions about …

Unlike legacy VNFs — often monolithic and dependent on virtual machines — CNFs are designed from the ground up for cloud environments As telecom networks evolve to meet the demands …

Quality data, digital twins and AI/ML will all help operators enable end-to-end automation in a multi-cloud environment Managing the complex components of a multi-cloud environment is proving to be a …

For F5, it’s not just about delivering these applications at the edge; it’s also crucial to secure them once they’re there According to F5’s Senior Solutions Engineering Manager Chas Lesley, …

Edge resilience, according to Volt Active Data’s Chief Product Officer Dheeraj Remella, is a ‘multi-pronged endeavor’ By utilizing edge technology, telecom operators can improve their own operations and enable new …

Examples of how operators are using AI today include network anomaly detection and root cause analysis Telecom companies have been using artificial intelligence (AI) and machine learning (ML) in their …

Telefónica’s Multi-Cloud Tools Manager: ‘There is no one single type of a cloud that serves everything equally’ Panelists at the recent Telco Cloud and Edge Forum discussed the future of …

In a more open and flexible network environment, the attack surface has been ‘opened up’ Emerging technologies like cloud, edge and AI represent serious opportunities for telcos when it comes …

Telcos are recognizing that in order to monetize the potential inherent in cloud-native networks, they must simplify the interface for developers While open Application Programming Interfaces (APIs) were a big …

The ‘deep use of AI’ can drive hyper personalization through carriers’ omni channel products During a session at Google Cloud Next ’23, Ankur Jain, VP, Google Cloud for Telecom and …

With AIOps growing in the telecom space, many are wondering just how much autonomy these tools will be given To keep up with growing network complexity, telcos are applying automation …

To keep up with growing network complexity, telcos are applying automation techniques enabled by AI and ML in as many network operations as possible As 5G continues to evolve, it …

It’s important to look at AI holistically and to not rule out more traditional machine learning models, says Google Cloud’s VP/GM Sachin Gupta Anything can be AI (Artificial Intelligence), Google Cloud’s …

AT&T’s VP of Network Analytics & Automation said that the telco is already using AI across its entire operations chain, from day zero to day two Thanks to consumer-facing applications …

In June, AWS announced a $100 million investment to develop a center to help enterprises use generative AI (GenAI), the technology behind OpenAI’s ChatGPT chatbot. The AI innovation center will offer generative …

Benefits of hybrid AI include data security, context and efficiency With generative artificial intelligence (AI) poised to permeate virtually all types of consumer and enterprise applications, network architecture becomes increasingly …

Running AI workloads at the edge enables better economics, faster decision making and automation If you look past the hype, look past the technological complexity, look past the protracted proofs …

Discussion around generative AI has quickly become a mainstay in conference presentations and earnings calls. The predominant thinking is that if you’re an enterprise, including a mobile network operator or other …

Edge federation refers to the interconnection and coordination of multiple edge computing resources and services from different providers, in order to deliver a more comprehensive and distributed computing infrastructure. In …

The first part of this Q and A with Vodafone’s Joanna Newman, senior director of technology partnerships, covers the operator’s dedicated vs. distributed MEC approach, the logic behind its various …