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15 posts

AWS App Runner: The Shortest AWS Path from Source or Container to a Web Service

App Runner packages build, deployment, TLS, load balancing, and autoscaling as a web service, trading orchestration control for a simpler platform with explicit VPC, instance, and health boundaries.

Azure App Service: The App Service Plan Matters More Than the Container

App Service manages web runtimes, TLS, deployment, and scaling, while capacity, cost, and isolation live in the shared App Service Plan rather than one app.

CapRover: Self-Hosted PaaS with Docker Swarm, Nginx, and Persistent Apps

CapRover wraps Docker Swarm, Nginx, and captain-definition in a simpler PaaS; stateless apps scale, while local persistent apps remain pinned to one node.

Coolify: Control Planes, Docker Servers, and the Self-Hosted PaaS Boundary

Coolify controls Docker, proxies, and resources on your servers over SSH; deployment gets easier, but OS, security, capacity, data backup, and recovery remain yours.

DigitalOcean App Platform: Managing PaaS Topology with Components and App Specs

DigitalOcean App Platform composes Services, Workers, Jobs, Static Sites, and Functions into an App, with an App Spec as the reviewable deployment contract.

DigitalOcean: A Simplified Cloud from Droplets to App Platform

DigitalOcean covers common product architectures with Droplets, DOKS, Managed Databases, and App Platform; simplicity comes from a smaller surface, not from eliminating OS, network, backup, or HA design.

Dokku: Turning One Docker Host into a Git-Push PaaS

Dokku combines a Git receiver, buildpacks or Dockerfiles, process models, Nginx, and plugins for a single-host Heroku workflow; simplicity comes from narrow orchestration scope.

Dokploy: Self-Hosted PaaS with Applications, Compose, Remote Servers, and Swarm

Dokploy supports single-container Applications and Compose or Stack, while treating one host, independent remote servers, and a Swarm cluster as distinct topologies.

Fly.io: The Real Boundaries of Machines, Fly Proxy, and Multi-Region Deployment

Fly.io places fast-starting Machines in chosen regions and connects them through Fly Proxy and private 6PN; cross-region state consistency remains your hard problem.

Google Cloud Run: Services, Jobs, and Worker Pools Have Different Container Lifecycles

Cloud Run is more than an HTTP container platform: choose request-serving, run-to-completion, or always-on pull work first, then design concurrency, identity, and scaling.

Koyeb: A Global Serverless Model of Apps, Services, and Instances

Koyeb groups Services in Apps, runs revisions as Instances in selected regions, and integrates global routing, autoscaling, private discovery, and CPU or GPU compute.

Netlify: A Web Platform for Atomic Deploys, Functions, and Edge Functions

Netlify centers on atomic deploys and previews, then adds Functions, Edge Functions, Blobs, and Database; each runtime and state layer has distinct consistency and limits.

Railway: Deploying an Application Topology with Projects, Services, and Environments

Railway is not merely one-click deployment; it puts container services, environments, variables, and private networking into one operable application project.

Render: A Full PaaS Topology of Web, Private, Worker, and Cron Services

Render's value exceeds turning a repository into a URL: distinct service types model public HTTP, private listeners, queue workers, cron, data stores, and Blueprint infrastructure.

Vercel: Frontend Cloud Gains Its Advantage from Framework-Aware Deployments

Vercel binds framework build output, previews, CDN caching, and Functions into deployments; deep integration adds speed while defining runtime, locality, cost, and portability boundaries.