Code Quality: The Best Approach to Writing Secure Cloud Native Apps

TL;DR overview

• Writing secure cloud-native applications requires embedding security analysis into every layer of the SDLC, from the IDE through to CI/CD pipelines and infrastructure provisioning—not treating it as a post-deployment concern.
• Infrastructure as Code (IaC) is a critical attack surface in cloud-native architectures; SonarQube's IaC scanning detects misconfigurations in Terraform, CloudFormation, Kubernetes, and Docker files that can expose cloud resources or enable privilege escalation.
• Secrets detection in the IDE and CI/CD pipeline prevents API keys, database credentials, and cloud service tokens from being committed to version control, eliminating a common source of cloud security incidents.
• A unified approach combining SAST for application code, SCA for open source dependencies, and IaC scanning for infrastructure code provides comprehensive coverage of the vulnerability surface in cloud-native environments.

Perhaps you've already jumped into cloud native technologies or you're just wading in.  Either way, it's an important investment you're making in the quest to deliver more functionality to your users in less time. It's true users today are very demanding and it's also important to keep them safe. 

Cloud native technologies introduce many new attack planes and vulnerabilities. Many organizations have failed to adjust and continue to rely on traditional security practices that are insufficient for modern cloud-based technologies. 

This leaves a gap and gaps mean risk. Developers must take the lead in protecting their cloud native apps. Coding mistakes are the primary cause of breaches – and developers are in the best position to identify and fix those errors. In this article, we look at ways your team can approach security threats using developer-first methodologies.