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This chapter covers the three major compliance frameworks that govern how organizations protect sensitive data: the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), and the Payment Card Industry Data Security Standard (PCI DSS). Each framework addresses a different category of data, applies to different organizations, and carries different enforcement…
Open source licenses fall into a spectrum from permissive to strong copyleft, and understanding where each license sits on that spectrum is essential for anyone working with open source software. The choice of license determines what you can and cannot do with code, whether you must share your modifications, and what obligations you carry when…
This chapter examines three of the most widely used open source licenses in detail: the MIT License, the GNU General Public License (GPL), and the Apache License 2.0. These three licenses represent the major philosophical and practical positions in open source licensing—permissive, strong copyleft, and permissive-with-patent-grant—and understanding their exact terms is essential for anyone who…
Open source licenses fall into two broad philosophical camps: permissive and copyleft. The distinction is not about whether the software is free to use — both allow that — but about what happens to derivative works. Permissive licenses grant broad freedoms with minimal conditions, allowing the code to be incorporated into proprietary products. Copyleft licenses…
Cloud native is not a product or a single technology. It is an approach to building and running applications that takes advantage of what the cloud makes possible: elasticity, resilience, and rapid change. A cloud-native application is designed for the cloud from the beginning, rather than being a traditional application that has been moved to…
Microservices is an architectural style that structures an application as a collection of small, independently deployable services, each organized around a business capability and communicating through well-defined interfaces. The style emerged as a response to the limitations of monolithic applications: as a monolith grows, its deployment becomes riskier, its scaling becomes coarser, and its codebase…
Site Reliability Engineering (SRE) is an engineering discipline devoted to helping an organization sustainably achieve the appropriate level of reliability in its systems, services, and products . The term was coined at Google in the early 2000s by Benjamin Treynor Sloss, who described it as “what happens when you ask a software engineer to design…
SLI, SLO, and SLA are three terms that describe how reliability is measured, targeted, and contracted. They are often confused because they sound similar and are used together, but they answer different questions. An SLI asks “what did the service actually do?” An SLO asks “what is the target for that measurement?” An SLA asks…
Error budgets and toil are the two operational mechanisms that make Site Reliability Engineering sustainable. The error budget is the amount of unreliability a service is allowed before the reliability target is violated, and it is the tool that resolves the tension between shipping features and keeping systems stable. Toil is the repetitive, manual work…
Troubleshooting is not guessing. It is not randomly restarting services or rebooting the machine in the hope that something changes. A methodical approach to troubleshooting is a repeatable process: gather information, form a hypothesis, test it, and either confirm or discard it. The difference between a technician who solves problems and one who creates new…