The cloud now houses more data than ever before, and the amount of data in the cloud doubles roughly every two years. Much of this data falls into categories such as personally identifiable data (PII), which may include names, social-security numbers, and dates of birth, as well as personal health information (PHI) which contains personal medical information. Protecting such data is no longer just a business best practice; it has become the law.
Should your company have specific data-privacy requirements, such as PCI for e-commerce, HIPAA for health care, or FERPA for student data, you must ensure that the service-level agreement details the specific requirements.
CASE 12-5 GDPR and CCPA
Data privacy is no longer a business best practice and requirement; it has become the law. The General Data Protection Regulation (GDPR) is a law within the European Union that provides data-privacy protection within the European Economic Area. GDPR not only covers data stored within Europe, but also the transfer of such data in and outside of the region. Meaning, the law applies to all companies that process personal data of individuals who reside within the European Economic Area.
FIGURE 12-8 , restricts the collection of data for minors, requires businesses to allow consumers to opt-in for various personal-data collections, requires that businesses allow consumers to opt-out of such data collection, and more.
FIGURE 12-8 CCPA is a law protecting personal data within California.
Case Study : Discuss the business legal requirements to support data-privacy laws such as GDPR and CCPA.
CASE 12-6 New Relic Cloud-Performance Monitoring
When it comes to cloud-solution performance monitoring and tuning, most managers spend 80 percent of their time monitoring 20 percent of a solution’s code (see Chapter 19 and the Pareto Principle). New Relic, shown in FIGURE 12-9 , provides monitoring software that will examine system performance to identify potential bottlenecks. The New Relic software supports most commonly used programming languages and can be easily integrated into a solution. Within a solution’s source code, programmers place calls to New Relic APIs, which in turn collect data and assemble insights. Behind the scenes, the New Relic software leverages artificial intelligence to distinguish between application trends (true bottlenecks) and anomalies.
FIGURE 12-9 New Relic provides system-performance monitoring and bottleneck identification.
Case Study : Discuss common bottleneck locations within cloud-based solutions.
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