Stop Unintended Production Deploys with Azure Pipelines Environment Approvals
Use Azure Pipelines environments with required approvals to pause deployments before production while keeping lower environments automated.
Loading…
ReadMeFeed / Community knowledge
#environments
Real questions. Useful conversations. Find the people who know your stack.
Gating Production Deployments in Azure Pipelines: Environments, Approvals, and Business‑Hours Checks
Use Azure Pipelines Environments with human approval and Business‑Hours checks to gate production deployments. This guide shows the minimal design, trust boundaries, operational checks, failure modes, and when to evolve the architecture.
Choosing Azure DevOps Environments and Approval Gates for Controlled Deployments
Decide whether to use Azure DevOps Environments with approval gates, manual intervention, or no gate for your release pipelines. Compare options, weigh trade‑offs, and see a concrete YAML example that pauses until an approver grants permission.
Gating Azure DevOps YAML Deployments with Environment Approvals and Checks
Move deployment gating out of your YAML and onto Azure DevOps Environments: configure approvals, branch control, and external checks once, then verify each gate holds before trusting it in production.
azuredevopsControlled Production Releases with Azure Pipelines Multi-stage YAML and Environments
Use a single multi-stage YAML pipeline with Azure DevOps Environments to build, test and gate production releases with approvals, checks and environment-scoped variables.
Designing Environment‑Level Gates in Azure DevOps Pipelines
Learn how to add approvals and checks to an environment resource so deployments to production pause until manual or automated conditions are satisfied.
Using Azure DevOps Environments with Approvals to Gate Microservice Deployments
Learn how Azure DevOps Environments with approvals and automated checks can safely gate microservice releases, see a three‑stage pipeline example, and understand the trade‑offs involved.
Spack environment activation limits for in-place dependency upgrades
Goal is to move a small application to a newer version of a dependency while keeping existing sessions available. Spack environments can hold multiple concrete specs at once, and activation can be scoped to a shell. Binary mirrors are documented for distributing pre-built packages to reduce build time. The design relies on the documented limit that activatin
Spack environment concretizer: limits of unify false vs true for shared dependencies
Choosing a unify mode for a multi-root Spack environment I maintain a Spack environment with several root specs that share common dependencies (MPI, BLAS, compression libraries). The documented behavior is that with concretizer: unify: false each root is concretized independently, so the same dependency can appear at multiple concrete versions in one environ