Cover of The Forward Deployed Engineer, Volume 1, by Neeraj Bhatyal
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The Forward Deployed Engineer · Volume 1

Foundations: software, cloud, data and AI. Chapters 1–22.

The forward deployed engineer works where customers and code meet. Volume 1 builds the broad base the role demands: architecture, modern development, APIs, security, the three major clouds, Kubernetes, observability, cost, and the data and AI foundations every enterprise AI project rests on.

4 parts · 413 pages · PDF · 5.6 MB

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Every chapter ends with a hands-on exercise, a checklist and Field Notes prompts for your own work. Continue with Volume 2 →

What's inside

Part I — The Role and Its Roots 2 chapters
  1. 1The Forward Deployed Engineer
  2. 2A Short History: From Mainframes to Agents
Part II — Engineering Fundamentals 6 chapters
  1. 3Architecture and Design That Can Change
  2. 4Modern Development: Git, Testing, and AI Coding Assistants
  3. 5APIs, Integration, and Event-Driven Systems
  4. 6Distributed Systems, Databases, and Resilience
  5. 7Security and Enterprise Identity
  6. 8Field Basics: Linux, Shell, Networking, and Debugging
Part III — Cloud 9 chapters
  1. 9Cloud Fundamentals: What Every Cloud Shares
  2. 10AWS Essentials
  3. 11Microsoft Azure Essentials
  4. 12Google Cloud Essentials
  5. 13Cloud Networking, Hybrid, and On-Premises Connectivity
  6. 14Containers and Kubernetes
  7. 15Infrastructure as Code, CI/CD, and Platform Engineering
  8. 16Observability, SRE, and Performance
  9. 17Cloud Cost and FinOps
Part IV — Data and AI 5 chapters
  1. 18Data Platforms for AI: Lakehouse, Spark, Databricks, and Snowflake
  2. 19AI and LLM Foundations
  3. 20Working With Models: Prompting, Fine-Tuning, and Serving
  4. 21RAG and Enterprise Knowledge
  5. 22Document AI and Multimodal Systems
Appendices 6 items
  1. AAWS, Azure, and Google Cloud Service Comparison
  2. BCommand-Line Quick Reference
  3. CTemplates for Field Engineering
  4. DFurther Reading
  5. Glossary
  6. Index