Secrets Management
Secrets Management
Our application is almost complete. It connects to databases. It calls external APIs. It sends emails. It communicates with other services. To do all this, it needs passwords, API keys, certificates and access tokens. At first, developers simply stored these secrets inside the application's source code or configuration files. It worked... ... until the code was shared. Or uploaded to GitHub. Or accessed by someone who shouldn't have seen those credentials. One exposed password could compromise the entire application. The engineering problem became obvious. How do we securely store and use sensitive credentials without embedding them in the application? The engineering concept that solved this problem is Secrets Management. Instead of hardcoding credentials, applications request them securely whenever they need them. Secrets are encrypted, centrally managed, regularly rotated and access is controlled through permissions. Developers write applications. The cloud manages the secrets. Amazon Web Services provides this through AWS Secrets Manager. Microsoft Azure provides Azure Key Vault. Google Cloud provides Secret Manager. Different names. One engineering concept. Applications became significantly more secure because sensitive information was no longer scattered across source code and configuration files. But another challenge soon emerged. Our application was generating enormous amounts of data. How do we store and analyze petabytes of data without overwhelming traditional databases?