5G telco infrastructure provides the basic foundations of data movement and increasingly unlocks new capabilities for low latency and critical SLAs. Real-time data processing with data streaming using Apache Kafka enables innovation across industries. This blog post explores the success story of Dish Wireless and its cloud-native standalone 5G infrastructure leveraging data streaming. The service provider enables enterprises to think in a new, innovative way about telco networks to build the next generation of applications for more efficient supply chains and better customer experiences.
5G, short for “fifth generation,” is the latest generation of wireless communication technology for mobile devices and networks. It represents a significant advancement over its predecessor, 4G LTE (fourth generation).
Here are some key features and characteristics of 5G:
5G enables a massive potential for New Applications across all industries. 5G technology opens the door to various innovative applications and services. It can revolutionize entire industries, like healthcare, transportation, and entertainment.
Here are a few concrete examples:
Overall, 5G represents a significant leap forward in wireless technology. 5G offers faster speeds, lower latency, and improved connectivity to support the increasing demands of our increasingly connected world.
“Dish Wireless” refers to the wireless division of Dish Network Corporation, a company primarily known for providing satellite television services in the United States. It is Dish Network’s venture into the wireless telecommunications industry.
The marketing slogan is “The DISH 5G Open RAN network is flexible, scalable and transparent. With DISH Wireless, the only limit is your imagination.” I love it because it is true! The infrastructure is cloud-native, and data streaming is a core piece of it.
Here are some key points about Dish Wireless:
The Dish infrastructure innovates in many ways compared to most other telco networks operating today:
The evolution of telco infrastructure, customer services, and new business models requires real-time end-to-end visibility, fancy mobile apps, and integration with pioneering technologies like 5G for low latency or augmented reality for innovation.
Many enterprises in the telecom sector leverage data streaming with Apache Kafka in various use cases across OSS, BSS, and OTT services.
Learn about trends, architectures, and customer stories from Dish Network, British Telecom, Globe Telecom, Swisscom, and more in the blog post “The State of Data Streaming for Telco in 2023“.
And here is a blog and video recording about Cloud-Native 5G, MEC and OSS/BSS/OTT Telco with Apache Kafka and Kubernetes.
This post specifically looks at the usage of data streaming at Dish Wireless.
Brian Mengwasser (Vice President, Head of Marketplace and App Design at DISH Wireless) explored the general strategy, technical architecture, and opportunities for customers of Dish Wireless 5G products. You can find the on-demand recording below.
Dish Wireless had the benefit (and challenge) of starting from scratch. The entire 5G infrastructure is cloud-native and provides elastic scalability.
The Dish Wireless connectivity platform enables real-time communication from any cloud to any device:
As you can see, the 5G infrastructure requires the combination of many critical software and hardware vendors. AWS, IBM, Dell, VMware, Oracle, and Confluent.
The enterprise architecture of the Dish Wireless data platform enables the building of decoupled data products. The network stack comprises various components like RAN Core applications, traffic inspection, and observability platforms. The data-driven applications include data engines, service orchestrators, correlation tools, and integration with 3rd party interfaces.
The central nervous system of the enterprise architecture is the data streaming platform Confluent. It collects from various data sources, processes and correlates real-time and historical data, and shares information with downstream applications like mobile apps, data lakes, and data warehouses.
5G is an innovative technology that allows building new real-time applications not possible before. However, infrastructure alone does not solve the problem. Software is needed on top of the infrastructure. Therefore, 5G and data streaming are a match made in heaven. Both support real-time data processing at an elastic scale.
Let’s look at a few examples of combining 5G and data streaming with Apache Kafka.
The retail industry has many use cases that can leverage 5G infrastructure and Apache Kafka for logistics, point of sale, and location-based customer services.
The state of data streaming for retail in 2023 explores the art of the possible. Use cases include omnichannel customer experiences, hybrid shopping models, and hyper-personalized recommendations. Data streaming allows integrating and correlating data in real-time at any scale. I explore customer stories from Walmart, Albertsons, Otto, AO.com, and more,
Manufacturing requires real-time information and data consistency across the entire supply chain, including shop floor, supplier integration, intralogistics, interlogistics, and customer-facing aftersales and service. Apache Kafka and 5G help to build hybrid edge deployments:
The state of data streaming for manufacturing in 2023 explores the evolution of industrial IoT, manufacturing 4.0, and digitalized B2B and customer relations. Most use cases require modern, open, and scalable information sharing. The foci are trending enterprise architectures in the manufacturing industry and data streaming customer stories from BMW, Mercedes, Michelin, or Siemens.
The automotive industry requires B2B integration with suppliers, OT/IT integration from the shop floor to the cloud, and innovative customer-facing apps like mobility services. Many of these challenges can only be solved by combining low-latency networking and real-time data processing at scale with 5G and Apache Kafka.
Real-World Deployments of Kafka in the Automotive Industry explores various real-world deployments across several fields. Use cases include connected vehicles, smart manufacturing, and innovative mobility services. Case studies cover car makers such as Audi, BMW, Porsche, and Tesla, plus a few mobility services such as Uber, Lyft, and Here Technologies.
Here is the recording of an interactive discussion and presentation I gave together with Brian Mengwasser (Vice President, Head of Marketplace and App Design at DISH Wireless):
If you just want to see the high level story, watch the following 3min summary on YouTube exploring how Dish Wireless leverages Apache Kafka and Confluent Cloud in their 5G infrastructure:
If you want to learn more from other telco experts, here is an on-demand panel where I discuss the evolution of data streaming in the telecom sector with peers from several organizations: “How Telcos are Shaping the Future of Communication with Data Streaming“:
Real-time data beats slow data. That’s true for almost every use case. Specifically, most innovative use cases in the telco industry require real-time accurate information, regardless of the scale. No matter if you build internal applications to monitor the networks or external new services for logistics, transportation, retail, or any other industry.
5G infrastructure provides low latency with critical SLAs (thanks to network slicing capabilities). Data streaming with Apache Kafka provides features for collecting, storing, processing, and sharing events. The combination of 5G and data streaming enables innovation, where the only limit is your imagination.
How do you use or plan to use 5G networks together with data to innovate? Let’s connect on LinkedIn and discuss it! Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter.
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