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About the Book
Unlock the power of Artificial Intelligence in your Go applications and transform a flood of log data into actionable, real-world insights!
"AI in Action with Go" is your practical, hands-on guide to mastering applied AI techniques by building a sophisticated, open-source log analysis platform called "LogIntelAI" from the ground up. If you're a Go developer looking to move beyond theory and see how AI truly works in practice, this book is your essential companion.
What You Will Build and Learn:
This isn't just a book about concepts; it's about creation. You will:
- Develop "LogIntelAI": Construct a complete, real-world log analysis platform in Go, designed for intelligent data processing and efficient dispatch of findings.
- Master Log Management with Go: Implement robust log ingestion from diverse sources (like files, Elasticsearch, and Kafka), learn advanced preprocessing techniques, and manage data flow with efficient queuing.
- Integrate Cutting-Edge AI: Seamlessly connect your Go applications to powerful AI models (including Large Language Models from services like OpenAI and AWS Bedrock).
- Dispatch Actionable Insights: Learn to format AI-generated insights into structured payloads and send them directly to incident management tools, such as "Versus Incident," turning your analysis into immediate operational value.
- Apply AI Pragmatically: Understand core AI concepts (prompts, tokens, inference) through practical application, without getting bogged down in complex mathematics or abstract theory.
Who This Book Is For:
"AI in Action with Go" is written for intermediate Go developers who are new to Artificial Intelligence but are eager to apply it to solve practical, real-world problems. Whether you're a backend developer, DevOps engineer, SRE, or simply a Go enthusiast curious about AI, this book will provide you with the skills and confidence to:
- Build AI-enhanced Go applications.
- Understand and implement intelligent data processing pipelines.
- Contribute to the exciting field of AIOps (AI for IT Operations).
By the end of this book, you will have not only developed a significant open-source log analysis tool but also mastered applied AI techniques, empowering you to design and build more intelligent, insightful, and impactful Go systems.
Step into the future of software development. It's time to put AI in action with Go!
About the Author
I am a DevOps Lead at Vikki Digital Bank with extensive experience in designing, building, and managing mission-critical infrastructure for digital banking products on Amazon Web Services (AWS). My professional journey has been deeply rooted in the financial sector, where security, resilience, and scalability are paramount.
As a founder of DevOpsVN, my goal is to empower the tech community by simplifying complex concepts and offering actionable, real-world solutions. Through my writing, I strive to bridge the gap between theory and practice, helping others navigate the ever-evolving landscape of modern technology.