
Engineering teams building cloud software are always under pressure to deliver new features, fix bugs, and improve performance. To move quickly, engineers need access to computing resources: Kubernetes clusters, individual servers, databases, monitoring dashboards, and so on. But, to a security professional, all of these resources represent an ever-growing attack surface area. Just think how many attack vectors exist in a production database: an attacker can get SSH access to a database machine via a compromised key, a Kubernetes API, a compromised web UI, or even via the database’s own remote protocol.
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- Security Overhead
- Common trade-offs
- Emerging Solutions
