Infrastructure & Provisioning

Core principles of defining environments through machine-readable code, enabling idempotency, desired state configuration, and automated reconciliation.

Managing, locking, and securing Terraform state files, the critical mapping layer between declarative code and cloud provider APIs.

The practice of replacing infrastructure components entirely rather than modifying them in place, guaranteeing consistency and eliminating configuration drift.

Detecting and automatically correcting drift between the desired state defined in version control and the actual state of the running environment.

Patterns for dynamically issuing and revoking temporary credentials, eliminating hardcoded secrets and secret sprawl.

Keeping development, staging, and production environments as similar as possible to prevent deployment failures caused by configuration differences.

Using the Domain Name System to dynamically locate and route traffic to ephemeral services in distributed architectures.

Automated probes used by load balancers to determine if a backend server is capable of handling traffic, preventing requests from being routed to failed instances.

Strategies for dynamically adjusting the number of active computing resources based on real-time demand, ensuring performance while minimizing costs.

The POSIX standard syntax for scheduling recurring background jobs, specifying the exact minute, hour, day, and month a script should execute.

The analytical process of predicting future system resource requirements based on historical trends, business projections, and known scaling constraints.