Postgres HA and Multi-Node: Coolify vs Temps (2026)

Coolify runs PostgreSQL as a single container with dump-and-restore backups; Temps adds Postgres high availability with automatic failover (pg_auto_failover), WAL-G backups (with point-in-time recovery for standalone Postgres; clusters restore to the latest backup), and multi-node clustering with internal DNS. Both are self-hosted PaaS platforms you install on a VPS with git-push deployments and automatic HTTPS. Coolify has the broader service-template library and the larger community. Temps' HA features are available in the v0.1.0 beta line, alongside built-in error tracking, session replay and an AI Autofixer that opens pull requests from production errors. For the full feature and pricing comparison, see Temps vs Coolify.

The core distinction: Temps is the only self-hosted PaaS that bundles deployment, web analytics, session replay, error tracking, and uptime monitoring into one binary. Coolify, Dokploy, CapRover, Dokku, and Kamal are deployment-first: Coolify added opt-in proxy-level traffic analytics in v4.4 (October 2026), but error tracking, session replay and uptime checks are still separate tools you deploy and operate yourself. That single-binary scope is the reason the rest of this comparison leans the way it does.

This post is a head-to-head written by the Temps (temps.sh) team. We've cited Coolify facts from the official docs and GitHub releases inline.

TL;DR: Coolify is broader on service templates (one-click SigNoz, Glitchtip, Umami — each runs as a separate service). Temps is deeper on integrated observability (error tracking, analytics, OTel ingest, request logs in one binary), Postgres HA (automatic failover, WAL-G backups, PITR), and multi-node clustering (worker nodes over your private network, internal DNS). Coolify has a longer track record and a bigger community. Pick based on which gap matters most.

Coolify vs Temps: HA and platform feature comparison

Temps vs Coolify vs a managed PaaS

What both tools share

• Self-hosted, free to run on your own server. Both are open-source platforms you install on a VPS.
• Git-push deployments. Push to your repo, the platform builds and deploys.
• Automatic HTTPS via Let's Encrypt. Both ship this.
• Multi-app per server. Both run dozens of apps on a single host.
• Multi-context CLI support. Coolify ships coolify context add / coolify context use; Temps ships temps context list | use | remove.
• Service templates and databases. Both let you spin up Postgres, Redis, MongoDB and S3-compatible storage with a click.
• Cloud-hosted option. Coolify Cloud is $5/month including 2 servers, +$3/month per extra server (pricing, as of October 2026). Temps Cloud, a hosted control plane for your own servers, is coming soon; no per-seat fees, no bandwidth bills.

This is a real overlap. For basic deployments and a single database, both are competent. The differences show up when you scale or need observability.

Where Temps is ahead

Postgres High Availability

This is the biggest single feature gap. Coolify ships single-container PostgreSQL only (source). The Coolify docs cover dump and restore — there is no clustering, no automatic failover, no replication topology in the UI. Coolify v4 can deploy to several standalone servers behind an external load balancer, but it has no built-in HA scheduler, and Docker Swarm, the other multi-node path, was deprecated in v4.0.0 (source).

Temps' v0.1.0 betas include Postgres HA with pg_auto_failover (labelled Experimental in v0.1.0-beta.56): monitor + primary + N replicas, one-click Add Replica / Promote / Remove buttons, role-aliased DNS records that follow the primary across failovers without app restarts, and WAL-G physical backups with WAL archiving (point-in-time recovery is available for standalone Postgres, not yet for clusters). The full walk-through is in self-hosted Postgres HA with pg_auto_failover and WAL-G.

If you have been waiting on Coolify to ship managed HA Postgres so you can stop paying for RDS, that wait is not over. The HA databases docs cover how Temps routes connections to the current primary.

Built-in observability vs. service templates

Coolify's observability story is one-click templates. You deploy:

• Glitchtip or Bugsink for error tracking
• SigNoz for OTel
• Umami or Plausible for web analytics
• Metabase for BI

Each is a separate deployment with its own dashboard, its own database, and its own resources. Coolify itself ships infrastructure monitoring (disk usage, container restarts, backup health) and, since v4.4 (October 2026), opt-in proxy-level traffic analytics per server. App-level error tracking, session replay, product analytics and tracing remain external services you operate.

Temps ships the equivalent in the same binary:

• Sentry-compatible error tracking
• Web analytics with sessions and funnels, plus session replay
• OTel ingest for traces, metrics, and logs
• Request logs with TimescaleDB compression
• Uptime monitoring with incident detection
• The Unified Observe page merging requests, traces, errors, and revenue into one timeline

The honest framing: both approaches are valid. Coolify lets you pick best-of-breed tools and operate them yourself. Temps gives you a coherent built-in experience at less feature depth than dedicated tools like Sentry or Datadog. If you want the full power of Sentry, run Sentry. If you want one binary that covers the request → trace → error → revenue loop, Temps is faster to set up.

AI Autofixer

Coolify's AI story is integration with external assistants via its MCP server (coolify.io) — you point Claude or another assistant at your Coolify instance and it can manage deployments via the API. Coolify itself does not ship AI agents.

The Temps v0.1.0 betas include the AI Autofixer: open an error group, click Fix with AI, an agent reads the stack trace, checks out the repo in a sandboxed environment, makes a fix, and opens a pull request. Autonomous agents on cron schedules handle tasks like nightly dependency upgrades.

Honest caveat: the Autofixer is a beta feature and the AI agent space moves fast. Expect rough edges. But "AI takes a first pass and surfaces a diff" is shipped. Coolify does not have an equivalent.

Internal DNS plane

Coolify uses Docker's embedded DNS for service discovery. That works on a single host but not across nodes — Docker's embedded resolver only knows about containers on its own host.

Temps ships an internal DNS plane with per-node Hickory resolvers, role-aliased records (primary.<svc>.temps.local), and a 5-second failover propagation tick. Containers reach databases by FQDN that survives failover and replica scale operations without redeploys.

Multi-node clustering

Coolify's multi-node story is in flux. v4 deploys to multiple standalone servers, but traffic distribution needs an external load balancer (source). Docker Swarm (experimental) was deprecated in v4.0.0; existing Swarm setups keep working until its planned removal in v5. Kubernetes is planned for v5 with no public ETA (source).

Temps ships multi-node clustering today: control plane + worker nodes joined over a private network you provide (temps join), agent-based architecture, node scheduler with LeastLoaded and RoundRobin strategies, drain operations, and node labels. See the multi-node docs.

OIDC single sign-on for the console

This gap has closed. Coolify v4.4.0 (October 2026) added OpenID Connect sign-in with any OIDC provider (release notes), on top of its fixed OAuth providers.

Temps has OIDC single sign-on for the console with any standards-compliant provider, including PKCE, just-in-time provisioning, and IdP-group-to-role mapping, in the free self-hosted binary. Where Temps still differs is the enterprise layer: SAML 2.0 SSO, enforced SSO and SCIM provisioning are available in Temps Premium; Coolify's v4.4 notes mention neither SAML nor SCIM.

Where Coolify is ahead

Service template breadth

Coolify ships 280+ one-click service templates — Plausible, Umami, Metabase, SigNoz, Bugsink, Supabase, NocoDB, WordPress, and many more. If you need to spin up a specific open-source tool, Coolify's template library is wider than what Temps bundles.

Temps focuses on managed external services it can operate well: Postgres (with HA), MariaDB, Redis, MongoDB, RustFS (legacy MinIO). The trade-off is depth on the few it ships, with less breadth.

Community and track record

Coolify has been public since 2021 and has 62K+ GitHub stars (October 2026) with a small core team. There is a large Discord community, many YouTube tutorials, and well-documented answers to common issues.

Temps is younger — which is precisely why it ships the modern bundled-observability stack (error tracking, analytics, session replay, OTel ingest, and Postgres HA in one binary) that the older deployment-only tools were never built for. The honest trade-off: the community is smaller, third-party content is sparser, and you will encounter real bugs rather than reading someone else's fix. If you are early-stage and value that integrated stack over breadth of existing tutorials, the youth is the reason the feature set exists.

If you want to read 50 blog posts and watch 20 YouTube videos before committing, Coolify wins on available content volume.

Maturity of the basics

Coolify v4.0.0 went stable on April 27, 2026 after nearly two years of betas. Dockerfile builds, Nixpacks, custom domains, environment variables, and GitHub integration have been hardened by years of production use.

Temps's basics work and are tested, but Coolify has put more user-hours into the same surfaces. If you hit an obscure deploy edge case, Coolify probably has a fix in the changelog already.

Cloud pricing transparency

Coolify Cloud pricing is published as one simple formula: $5/month including 2 servers, +$3/month per extra server, 20% off annually (pricing; the Coolify pricing breakdown covers it in detail). Temps Cloud — a hosted control plane for your own servers — is coming soon from $29/month; self-hosted Temps itself remains free, with only the VPS you already run it on as a cost, paid to your hosting provider.

What neither tool does well

Comprehensive APM: Neither Coolify nor Temps is a Datadog. If you need code-level continuous profiling, anomaly detection, or RUM at Datadog's depth, run Datadog alongside whichever PaaS you choose.

Kubernetes-grade fleet management: Neither tool is sized for managing thousands of services across multiple regions.

Compliance-regulated deployments: Neither tool holds SOC 2 or HIPAA certification.

For a basic Next.js app deployed via git-push, both platforms get you to a live HTTPS URL with comparable effort. Where the experience diverges is after deploy: Temps shows errors and request logs in the dashboard immediately; on Coolify, you get proxy-level traffic numbers once you switch analytics on, but error tracking requires deploying Glitchtip or Bugsink separately first.

Coolify or Temps for HA and multi-node: which should you pick?

Pick Coolify if:

• You want the broadest service template library and you are happy operating observability tools yourself
• You value a longer track record and a larger community over the latest features
• You are on a single host, or happy to put your own load balancer in front of several servers
• You do not need Postgres HA today and are not in a rush to leave RDS

Pick Temps if:

• You want managed Postgres HA without leaving the self-hosted world — pg_auto_failover clusters with WAL-G backups (PITR on standalone Postgres), one binary
• You want built-in observability (errors, analytics, traces, request logs, session replay) without operating separate services
• You want an AI Autofixer that takes a first pass at production bugs and opens PRs
• You are running multiple nodes and want worker nodes with scheduling and internal DNS on a private network you already run
• You are comfortable being on a younger platform that ships features faster

Pick neither if:

• You need full APM (run Datadog or Honeycomb)
• You are at Kubernetes-fleet scale (use Kubernetes)
• You need compliance certifications out of the box

Frequently Asked Questions

Does Coolify support Postgres high availability?

No. Coolify runs PostgreSQL as a single container per database, with scheduled dumps for backup (source). There is no built-in replication, automatic failover or point-in-time recovery. Temps runs pg_auto_failover clusters with WAL-G backups, and offers point-in-time recovery for standalone Postgres. For the broader feature and pricing comparison, see Temps vs Coolify.

Is Coolify going to ship Postgres HA?

No public roadmap commitment could be verified. Docker Swarm was deprecated in v4.0.0 and is planned for removal in v5 (source). The v5 Kubernetes plan might enable it eventually, but no ETA is public.

Can I migrate from Coolify to Temps?

Yes — Temps has a built-in import wizard that connects to your Coolify instance, discovers its apps and databases, and creates matching projects and managed services automatically. Custom domains are imported from each app's domain list, and TLS is issued once DNS points at Temps. Database content copies automatically when the database's public port is enabled in Coolify, otherwise via standard pg_dump / pg_restore; Redis data, one-click services and files in Docker volumes are moved by hand. See the full step-by-step migration guide — it covers both the wizard and a manual walkthrough — for the fresh-redeploy and zero-downtime parallel-cutover paths in detail.

Does Temps have a Coolify-style service template library?

A narrower one. Temps ships first-class managed services (Postgres with HA, Redis, MongoDB, MariaDB, S3-compatible storage) plus the built-in observability stack. For arbitrary open-source tools, Temps deploys via Docker Compose like any other app.

Is Coolify Cloud cheaper than Temps Cloud?

For the control plane alone, yes. Coolify Cloud is $5/month including 2 servers, +$3/month per extra server (pricing, as of October 2026). Temps Cloud — a hosted control plane for your own servers — is coming soon from $29/month with 2 server slots. Self-hosting either is free; you pay only for the servers. The difference is what's included: Temps Cloud bundles error tracking, session replay and uptime checks that you would otherwise pay for separately.

What did Coolify ship recently?

v4.4.0 (October 6, 2026) added opt-in proxy-level traffic analytics, OpenID Connect sign-in, SQLite databases, third-party secret managers and a team audit log; v4.4.x patch releases followed. v4.0.0 had gone stable on April 27, 2026. Source: v4.4.0 release notes.

Related: Temps vs Coolify · Coolify alternatives in 2026 · Temps v0.1.0 (beta) release notes