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Secure API design requires multiple strategies to protect sensitive data and access.

Data residency is crucial for compliance with laws about where data can be stored.

Database per Service ensures each microservice owns its data, reducing dependencies.

Authentication verifies who you are, while authorization determines what you can do.

Fail Fast means stopping quickly on errors, while Fail Safe ensures safety in failures.

Session-based authentication uses cookies to remember users after login.

REST API design focuses on creating clean, efficient, and scalable web services.

SSRF is a vulnerability where an attacker tricks a server into making unintended requests.

API keys help identify clients and control their access to APIs securely.

Retention policies help manage how long data is kept in databases.

The CAP Theorem explains the trade-offs in distributed systems during network failures.

Choosing the right boundaries for microservices is crucial for effective architecture.

Transactions ensure database operations are reliable using ACID properties.

Cache penetration occurs when requests for non-existent data overload the database.

Disaster Recovery Testing verifies that your recovery plan works effectively in real situations.

Disaster recovery ensures systems can restore services and data after major disruptions.

Choosing between a shared database and a database per service affects system design significantly.

Sharding splits databases into smaller parts to improve performance and scalability.

The TLS handshake establishes a secure connection for HTTPS, ensuring data safety.

RPO and RTO are key metrics for planning disaster recovery strategies.