Books

In Deepseek AI, we delve into the transformative events of January 27, 2025, that reshaped our world. Discover how Deepseek's emergence has disrupted traditional capitalism, giving rise to Technofeudalism and igniting a new cold war.

Hello! I'm Tony Robinson, a threat researcher and Suricata rule writer on the Proofpoint Emerging Threats team. I write rules for the ETOPEN and ETPRO rulesets. My book originally started as a guide to get budding security analysts interested in Network Threat Detection with Suricata, and over time has evolved to include helpful guidance into threat research! After all, what good is being able to write Suricata rules if you can't find the threats you want to detect in the first place?

Learn FastAPI through visual explanations of HTTP request flow, validation, dependencies, databases, security, testing, and deployment.

Build a practical understanding of AWS from account foundations to production architecture. Visual explanations connect networking, compute, data, security, automation, recovery, and cost with implementation and troubleshooting.

Understand Terraform from declarative infrastructure and dependency graphs to secure production workflows. Visual explanations connect configuration, providers, plans, state, modules, automation, safe change, troubleshooting, and recovery.

Build your Linux foundation through visual explanations of processes, files, permissions, networking, storage, and system operations.

Learn Kubernetes security through visual explanations of trust boundaries, access control, workloads, networks, and software supply chains.

Learn how Prompt, Context, Harness, and Loop turn AI-generated code into reviewable engineering work. Visual explanations cover task framing, trustworthy context, safe tools, independent verification, and controlled iteration.

Understand Kubernetes as a distributed control system, from core objects to production operations. Visual explanations and practical examples connect workloads, networking, storage, security, observability, troubleshooting, upgrades, and recovery.

Work Smarter. Save Time. Get More Done with AI.Artificial Intelligence is no longer just for programmers or technology companies. It's becoming an essential productivity tool for professionals in every industry.In AI Productivity Mastery, you'll learn how to build your own Personal AI Operating System—a practical framework for using AI to organize your work, automate repetitive tasks, improve communication, make better decisions, and continuously increase your productivity.Inside, you'll discover how to:✔ Build an AI-powered productivity system✔ Master prompting for consistently better AI results✔ Save hours on writing, research, meetings, and daily tasks✔ Organize information with an AI Second Brain✔ Improve decision-making and problem-solving✔ Automate routine workflows without coding✔ Boost collaboration and workplace efficiency✔ Develop future-ready skills while using AI responsiblyDesigned for business professionals, entrepreneurs, freelancers, managers, students, and anyone who wants to work more efficiently, this practical guide focuses on timeless principles instead of rapidly changing software tutorials—making it a valuable resource for years to come.Stop working harder. Start working smarter. Build your Personal AI Operating System and unlock a new level of productivity with Artificial Intelligence.

What You'll LearnWhy burnup charts create false certainty, and what they get wrongHow to run Monte Carlo simulation properly, including where "just use Monte Carlo" breaks down with feature WIP and dependenciesHow to forecast across a single team, multiple features, and multi-team initiatives with dependenciesReal examples and free, ready-to-use tools, rather than just theory

Build testing agents that observe, reason, act, and evaluate on their own — with the guardrails that keep autonomy from becoming chaos.