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Phelix is a command-line tool and per-host agent for building, deploying, supervising, and monitoring Go and Rust applications on infrastructure you control. Its documented proxy-based deployment flow keeps the current version serving while a new version starts and passes a health check, then switches traffic to it. That is Phelix’s deployment design—not an independently measured uptime result or a guarantee for every application and deployment strategy.

What Phelix does—and what it does not do

Phelix manages an application’s build and deployment lifecycle on your own infrastructure. Its official product page describes a CLI and host-level agent with build, supervision, health-check, logging, and monitoring features. You provide and manage the server, network, and TLS; Phelix does not provision them. The product page lists Linux and macOS releases and says connecting to its optional dashboard is not required for local operation. Phelix’s official product page

The creator frames Phelix as an option for deploying Go or Rust applications on your own servers without Kubernetes. That describes the intended use case; it does not establish that Kubernetes is unsuitable for any particular team or workload. The creator’s overview

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How the proxy-based deployment flow works

Phelix documents deployment as a versioned process: build a candidate, check it before it receives traffic, then promote it through a proxy target switch. The existing version remains available during the candidate’s health gate. If that check fails, Phelix says the candidate stays off traffic and the active version continues serving. Phelix’s deployment documentation

  1. Build a candidate. A successful build creates a numbered version and an encrypted environment snapshot, according to Phelix.
  2. Start it away from live traffic. For the proxy-based flow, the candidate starts on an inactive slot.
  3. Wait for the health gate. Promotion proceeds only after the candidate passes the configured check. If it fails, the currently active version remains in service.
  4. Switch and promote. Phelix changes the proxy target to the candidate and promotes it.
  5. Drain the prior version. The previous version is drained after traffic has moved.

The phrase “zero downtime” refers to this documented proxy-based approach. It is not proof of measured uptime, and a successful handoff depends on the application, health checks, proxy, and infrastructure behaving as expected.

Which deployment strategies Phelix lists

Phelix lists five strategies. Its product page identifies classic as “stop then start”; it describes the other approaches as proxy-based traffic movement with health gates. The page does not provide comparative evidence that one strategy is universally faster or safer.

Strategy How it handles deployment What to consider
Classic Stops the current version, then starts the new one. This is not the proxy-based flow that keeps the current version serving while a candidate is checked.
Blue-green Uses proxy-based traffic movement between versions after a health gate. Confirm how the two versions coexist and what the configured health check validates.
Rolling Uses proxy-based, health-gated traffic movement. Understand how traffic moves during the rollout and which instances or versions are exposed at each point.
Canary Uses proxy-based, health-gated traffic movement. Check how much traffic is directed to the candidate and what signals control further rollout.
Progressive Uses proxy-based, health-gated traffic movement. Check the stages of traffic movement and the health conditions required to advance.

The public description establishes the strategy names and the distinction between classic and proxy-based approaches, but does not spell out the exact traffic percentages, rollout stages, or health-check configuration for each strategy. Review those details in the configuration you intend to run rather than assuming a particular schedule.

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Rollback: what is documented

Phelix says rollback selects a retained native version, starts it using the application’s current deployment topology, runs checks specific to that topology, and records the outcome. Automatic restoration of the last known-good promoted version is described as optional. These details explain the rollback mechanism, but do not establish a rollback time or guarantee recovery in every failure scenario. Phelix’s rollback description

Before relying on rollback operationally, determine which versions are retained, how the topology-specific checks are configured, and whether optional automatic restoration is enabled in your setup.

Application requirement: read the PORT environment variable

The creator says an application needs to read its port from the PORT environment variable so two versions can run side by side during cutover. The creator also says phelix doctor checks this. Treat this as the creator’s stated implementation requirement, not as an independently verified compatibility test. Creator’s explanation of the PORT requirement

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What the available evidence can—and cannot—tell you

The deployment, rollback, and feature descriptions above are Phelix’s own documentation, alongside a creator-authored article. They establish what the product says it does, not independent performance results. The example CPU, memory, and uptime panel on the product page is explicitly simulated, so those values are not user measurements or benchmarks. No independently published downtime statistic or external performance benchmark is established by these sources. Phelix’s official page

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The product page also includes a statement from Mohammad Abdorrahmani, Founder of Anophel, saying the team uses Phelix in production to deploy, supervise, and roll back its own Go and Rust services across several servers from one CLI. That is product-owner testimony, not an independent customer evaluation. Phelix’s official page

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