This post shares a slide deck and video recording for architectures and use cases for event streaming with the open-source frameworks Kubernetes and Apache Kafka in the Telco sector. Telecom enterprises modernize their edge and hybrid cloud infrastructure with Kafka and Kubernetes to provide an elastic, scalable real-time infrastructure for high volumes of data. Demonstrated use cases include building 5G networks, NFV management and orchestration, proactive OSS network monitoring, integration with hybrid and multi-cloud BSS and OTT services.
Video Recording – Cloud-Native Telco for 5G, MEC and OSS/BSS/OTT with Kafka and Kubernetes
Here is the video recording:
Slide Deck – Kafka in the Telecom Sector (OSS/BSS/OTT)
Here is the related slide deck for the video recording:
Click on the button to load the content from www.slideshare.net.
Use Cases and Architectures for Apache Kafka in the Telecom Sector
This section shares various other blog posts about event streaming, cloud-native architectures, and use cases in the telecom sector powered by Apache Kafka.
Topics include:
- Use cases and real-world deployments
- Innovative OSS, BSS, and OTT scenarios
- Edge, hybrid, and multi-cloud architectures
- Low-latency cloud-native MEC (multi-access edge computing)
- Cybersecurity with situational awareness and threat intelligence
- Comparison of different event streaming frameworks and cloud services
Real-Time Data Beats Slow Data in the Telco Industry
Think about the use cases in your project, business unit, and company: Real-time data beats slow data in almost all use cases in the telco industry. That’s why so many next-generation telco service providers and business applications leverage event streaming powered by Apache Kafka.
Do you already leverage Apache Kafka in the telecom sector? What use cases did you or do you plan to implement with Kafka and Kubernetes? How does your (future) edge or hybrid architecture look like? Let’s connect on LinkedIn and discuss it! Stay informed about new blog posts by subscribing to my newsletter.