Deployment service
A deployment service is software that delivers, configures, and exposes applications or machine-learning models in target runtime environments.
Effective Platform Engineering
A deployment service is a system component that performs application deployments to a target runtime environment.
- How it is used
- Coordinates application deployment execution while pipeline tools control release timing, versions, and testing.
- How deep it goes
- Explains credentials, deployment artifacts, topology choices, and scaling trade-offs, but defers detailed scaling strategies.
- Examples
- Uses service-account credential workflows, Helm or Kustomize resources, and centralized or cluster-local Argo deployments.
- What you can do after
- Operate deployments through Flux or Argo without granting pipelines direct Kubernetes API access.
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LLMs in Production
A deployment service is a software service that configures, provisions, and exposes trained machine-learning models for inference in an operational environment.
- How it is used
- Coordinates model configuration, production serving, API exposure, pipeline integration, and deployment operations.
- How deep it goes
- Explains serving interfaces, standard protocols, model operations, and CI/CD integration, but leaves platform-specific implementation open.
- Examples
- Uses NVIDIA Triton, MLServer, Seldon, BentoML, FastAPI, REST, gRPC, batch pipelines, and streaming pipelines.
- What you can do after
- Operate/configure trained models in production through standardized APIs, pipelines, health checks, tests, and rollbacks.
100 SQL Server Mistakes and How to Avoid Them
A deployment service is an automated service that delivers packaged software to target environments in a release sequence.
- How it is used
- Promotes tested database packages through controlled release environments in a CI/CD pipeline.
- How deep it goes
- Explains pipeline sequencing and human gates but stops short of detailed deployment-tool configuration.
- Examples
- Uses Octopus Deploy, Azure DevOps, Redgate Deploy, DAC packages, and staged development-to-production environments.
- What you can do after
- Operate deployment services to promote a tested DAC through environments while retaining appropriate human approval gates.
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Related concepts
- data-tier applicationuses · A data-tier application is an application architecture component that encapsulates database schema, data, and related database deployment or management artifacts.
- Kubernetesuses · Kubernetes is an open-source platform for orchestrating and automating the deployment, scaling, and management of containerized workloads across computing clusters.
- mlopsused by · MLOps is the discipline of applying engineering and operational practices to develop, deploy, monitor, maintain, and manage machine-learning systems throughout their life cycle.
- deployment pipelineuses · A sequence of automated or manual stages that builds, tests or validates, packages, and delivers software or models toward deployment.
- Helmuses · Helm is a Kubernetes package manager and templating tool that defines, packages, installs, upgrades, and manages applications through charts.
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