Loading
Pick a focused question that fits your time, stack, and interview goal.
37 results across 1 active filter
Page 2 of 2
Turns a useful Aspire development model into explicit production infrastructure without treating the local AppHost as the runtime platform.
Separates traffic eligibility, process recovery, and slow startup so health checks do not amplify dependency failures or restart healthy work.
Explains how Aspire references inject resource configuration, how logical service names resolve, and why dependency wiring differs from startup readiness.
Coordinates old and new application versions, expand-and-contract schema changes, migration ownership, readiness, and rollback during rolling releases.
Reduces container privileges through non-root execution, minimal images, controlled filesystems, and explicit capability requirements.
Compares App Service WebJobs and Azure Functions for queue processing, scheduled tasks, scaling, deployment ownership, and operational isolation.
Covers configuration that must stay with a slot, such as connection strings, secrets, callback URLs, and staging-only settings.
Explains scale-out bugs from in-memory sessions, local caches, background queues, uploaded files, and per-instance behavior.
Explains Aspire as a code-first application model and developer experience without confusing it with a production runtime or architecture style.
Covers custom domains, TLS, HTTPS, allowed hosts, CORS boundaries, and production-facing endpoint hygiene for App Service APIs.
Covers build-once deployment, tests, artifact traceability, slot deployment, smoke checks, approvals, and post-release monitoring.
Compares Azure hosting choices for a .NET API using operational complexity, scaling model, deployment ownership, and workload shape.
Explains local filesystem limits, multiple instances, in-memory state, distributed cache, durable storage, and scale-out-safe API design.