Kubernetes is the industry-standard container orchestration platform designed for managing containerized applications at scale. It provides self-healing, auto-scaling, load balancing, and rolling updates—essential for 50+ node clusters.

Zero Trust architecture assumes no implicit trust. Every access request—internal or external—must be authenticated, authorized, and encrypted. It's modern security framework addressing remote work challenges.

G1 (Garbage First) GC is designed for low-latency applications with predictable pause times. It divides the heap into regions and prioritizes regions with most garbage, minimizing full GC pauses.

CI/CD pipelines automate code integration, testing, and deployment, enabling faster release cycles, early bug detection, and consistent quality without manual intervention at each stage.

Stream processing processes data in real-time with lower latency but higher architectural complexity. Batch processing is cost-effective for scheduled, non-urgent tasks. Choice depends on requirements.

AWS Auto Scaling automatically adjusts the number of EC2 instances based on demand metrics like CPU utilization and network traffic, ensuring optimal resource utilization and cost-efficiency.

In microservices architecture, maintaining data consistency across independently managed databases (polyglot persistence) is a significant challenge. ACID transactions cannot span multiple databases, requiring eventual consistency patterns.

The Reducer phase collects intermediate key-value pairs from Mappers, groups them by key, and aggregates them to produce final results.

Strong passwords require length (12+ characters), character variety, and complexity. Reusing passwords and storing them insecurely significantly increases security risks.

Operations = 100² × 50 = 10,000 × 50 = 500,000 operations. This represents the actual computational load for the given input sizes.