Over the past four years, we have been actively publishing our work on Medium, sharing insights and deep dives into the future of Telco with over 23 episodes of detailed articles. You can check out our Medium Publications here.
This mini-book is a compressed knowhow guide that brings together all our published articles into a single, coherent narrative. Each chapter has been crafted to maintain the depth and clarity of the original content while providing a continuous and engaging storytelling experience. The main theme revolves around how Telco applications can be modernized using:
- AI-Native Approach (Beyond Cloud Native)
- Service Mesh
- Observability
- AI Enriched Security
- OpenTelemetry (OTel)
- eBPF
- Data Engineering with Cloud
- Use of AI for OSS & BSS
The mini-book jumps into salty clear blue waters of information (oh Antalya I missed you dearly!) with how data from OS, platform, and applications can feed into AI-driven OSS and BSS for platform engineering and Site Reliability Engineering (SRE). It also addresses how to avoid the pitfalls of AI blindness, ensuring that the AI systems integrated into Telco operations are both robust , reliable and enabling innovation in a intuitive way.
- Application Modernization with Kubernetes & Service Mesh: Learn how these technologies are transforming Telco applications, enabling scalable and resilient infrastructures.
- Data Harvesting & Correlation: Understand the importance of data as a product and how observability with OTel and eBPF can enhance system performance.
- AI-Driven OSS/BSS: Discover how AI can be integrated into network operations and business processes, optimizing efficiency and customer experience.
- Avoiding AI Blindness: Get insights into the challenges of over-reliance on AI and strategies to maintain critical human oversight.
Each chapter of the book is available as an individual .md file in this repository. You can download and read them at your convenience. If you prefer to have the book as a single document, you can easily compile the chapters into other file formats using your preferred text editor.
- Introduction
- Chapter 1: The Start Point for Successful Evolution
- Chapter 2: Distributed & Scalable Solution Powered with Observability
- Chapter 3: Autoscaled Deployment Stacks
- Chapter 4: Enhancing Security and Performance with AI
- Chapter 5: AI-Driven OSS and BSS
- Chapter 6: Observability with OpenTelemetry (OTel)
- Chapter 7: eBPF – Unleashing the Power of the Linux Kernel
- Chapter 8: Reinforcement Learning for Telecom
- Chapter 9: RAG & Fine-Tuning -WIP-
- Chapter 10: Case Studies from TME-AIX
- Final Summary and Future Outlook
We welcome any feedback or contributions to this book. If you have any suggestions or would like to discuss the content further, please feel free to reach out or submit a pull request.