Quiz: What is AWS Auto Scaling Target Tracking Scaling Policy?
Target Tracking scaling policies adjust capacity dynamically like a thermostat to maintain specified metric targets.
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Target Tracking scaling policies adjust capacity dynamically like a thermostat to maintain specified metric targets.
Self-hosted runners run on custom infrastructure, offering access to internal networks and custom hardware.
2>&1 duplicates file descriptor 2 (stderr) to file descriptor 1 (stdout), combining error logs with standard output.
Modern cloud infrastructure manifests (Kubernetes, Docker Compose, GitHub Actions) universally standardize on 2 spaces per level.
yaml.safe_load() restricts parsing to standard scalar types and collections, preventing remote arbitrary object instantiation attacks.
CI/CD — Continuous Integration merges code frequently with automated tests; Continuous Delivery automates the release pipeline.
Latency-based routing directs DNS queries to the AWS region that provides the best response time and lowest latency for the requesting user.
CI/CD automates the build, test, and release pipeline, enabling frequent, reliable code delivery.