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Distributed System and Microservices Security Questions

Focuses on security considerations for distributed systems, APIs, containers, and microservice ecosystems. Includes authentication and authorization approaches for APIs and service to service communication, token models and OAuth and JSON web tokens, API gateway and rate limiting strategies, secrets management and secure configuration, network segmentation and service mesh security, container and runtime image hardening, Kubernetes and orchestration security, vulnerability scanning and patch management, secure logging and tracing practices, dependency supply chain security, and compliance and governance implications. Emphasizes how security control implementation differs between monoliths and distributed architectures.

HardSystem Design
79 practiced
Design a tamper-evident centralized logging architecture for microservices across multiple clusters and regions that preserves confidentiality and supports forensic investigations. Describe ingestion pipeline, per-host or per-pod signing, WORM storage options, access controls for forensic analysts, retention, and scalability considerations. Explain how to handle GDPR-style redaction while retaining tamper-evidence.
EasyBehavioral
71 practiced
Tell me about a time you discovered a security vulnerability in a distributed system or microservice. Using the STAR method, describe the situation, how you validated and exploited (safely) the issue, how you communicated findings to engineers and stakeholders, and what remediation and impact followed. Highlight any follow-ups you performed to confirm fixes.
EasyTechnical
100 practiced
Explain why storing secrets in plain environment variables, config files, or in source repos is risky for microservices. Describe secure alternatives (Vault, cloud KMS, secret injectors), short-lived credentials, rotation, audit trails, and secret scoping. During a pentest what places and artifacts do you check for leaked secrets?
HardTechnical
81 practiced
You find a pod mounted with a writable hostPath and elevated Linux capabilities. Provide a safe, non-destructive proof-of-concept (annotated pseudocode or Python) demonstrating how an attacker could write a benign proof file to the host filesystem to illustrate risk of container-to-host escape. Emphasize safety, required permissions, and the forensic artifacts you would collect.
MediumBehavioral
99 practiced
During a microservices pentest you find dozens of low-severity issues and one high-severity misconfiguration that could leak production customer data. Explain your approach to prioritizing findings, writing the executive summary, and coordinating with engineering to schedule remediation without unnecessarily blocking critical releases. Include measurable criteria you would use.

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