May 4, 2021

Vodafone joins forces with Google Cloud for data analytics

Vodafone
GoogleCloud
SAP
Tilly Kenyon
3 min
Vodafone and Google Cloud are collaborating to develop a new data platform that will support new digital products and services for customers
Vodafone and Google Cloud are collaborating to develop a new data platform that will support new digital products and services for customers...

Vodafone and Google Cloud have signed a six-year strategic partnership deal to build a new integrated data platform and distributed system for Vodafone, supporting the creation of new digital products and services for customers.

The platform called ’Nucleus’ will house a new system - ‘Dynamo’ - which will drive data throughout Vodafone to enable it to more quickly offer its customers new, personalised products and services across multiple markets. Dynamo will allow Vodafone to tailor new connectivity services for homes and businesses through the release of smart network features, such as providing a sudden broadband speed boost. 

Both Nucleus and Dynamo are industry firsts according to the companies and are capable of processing around 50 terabytes of data per day, equivalent to 25,000 hours of HD film (and growing). They are going to be built in-house by specialist teams and up to 1,000 employees of both companies located in Spain, the UK, and the United States are collaborating on the project.

Johan Wibergh, Chief Technology Officer for Vodafone, said: “Vodafone is building a powerful foundation for a digital future. We have vast amounts of data which, when securely processed and made available across our footprint using the collective power of Vodafone and Google Cloud’s engineering expertise, will transform our services, to our customers and governments, and the societies where they live and serve.”

Expected key benefits include:

  • Better mobile, fixed, and TV content and connectivity services through the instantaneous availability of highly personalised rewards, content, and applications. 
  • Increasing the number of smart network services in its Google Cloud footprint from eight markets to the entire Vodafone footprint. This allows Vodafone to precisely match network roll-out to consumer demand, increase capacity at critical times, and use machine learning to predict, detect, and fix issues before customers are aware of them. 
  • To enable data scientists to collaborate on key environmental and health issues in 11 countries using automated machine learning tools. This partnership will further improve Vodafone’s ability to provide deeper insights, in accordance with local laws and regulations, into the spread of disease through intelligent analytics across a wider geographical area.
  • Providing a complete digital replica of many of Vodafone’s internal support functions using artificial intelligence and advanced analytics. Called a digital twin, it enables analytic models on Google Cloud to improve response times to enquiries and predict future demand. The system will also support a digital twin of Vodafone’s vast digital infrastructure worldwide. 
  • Vodafone will re-platform its entire SAP environment to Google Cloud, including the migration of its core SAP workloads and key corporate SAP modules such as SAP Central Finance

Vodafone and Google Cloud will also explore opportunities to provide consultancy services, offered either jointly or independently, to other multi-national organisations and businesses.  

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May 12, 2021

Confluent announces new private cloud building platform

Cloud
Data
Technology
Digital
2 min
Confluent launches its Kubernetes platform, providing developers a cloud-native data streaming experience within private cloud infrastructure

Confluent, a platform that sets data in motion, today announced Confluent for Kubernetes, the first platform purpose-built to bring cloud-native capabilities to data streams in private infrastructures.

Confluent for Kubernetes allows platform teams to bring much of the same cloud-native experience found within Confluent Cloud to their self-managed environments while enabling operations teams to retain control of their data and infrastructure. As a cloud-native solution, Confluent for Kubernetes helps achieve faster time-to-value and reduce operational burdens with a fully elastic and scalable cloud-native experience in private infrastructure.

“To compete in the digital realm, organisations need to quickly deliver personalised customer experiences and real-time operations, which are only possible with access to data from all environments and cloud-native advantages,” said Ganesh Srinivasan, Chief Product and Engineering Officer, Confluent.

“For organisations that need to operate on-premises, we’re bringing the benefits of cloud computing to their private infrastructure with Confluent for Kubernetes. Now, any company can build a private cloud service to move data across their business regardless of its environment.”

 

How can Confluent for Kubernetes help?

Organisations who are transitioning to the cloud or who need to keep workloads on-premises can use Confluent for Kubernetes’ cloud-native capabilities, including a declarative API to deploy and operate Confluent. According to the company, the platform also makes moving applications to the public cloud easier by ‘seamlessly migrating workloads to wherever your business needs them with the ability to connect and share data with Confluent Cloud’.

  • Enhanced reliability – As a cloud-native system, Confluent for Kubernetes detects if a process fails and will automatically restart processes or reschedule as necessary. Automated rack awareness spreads replicas of a partition across different racks, improving the availability of your brokers and limiting the risk of data loss.

  • Automated elasticity – Meet changing business demands with the ability to scale up using API-driven operations. The platform will automatically generate configurations, schedule and run new broker processes, and ensure data is balanced across brokers so that clusters can be efficiently utilised.

  • Simplified infrastructure management – Confluent for Kubernetes extends the Kubernetes API, enabling organisations to define the desired high-level state of clusters rather than manage all the low-level details. This infrastructure-as-code approach reduces the operational burden and achieves a faster time to value, while enhancing security with standards that can be easily and consistently deployed across an organisation.

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