We Ripped Out Our Entire SaaS Stack and Replaced It With Open-Source. Here's the Honest Recap.

Everybody loves the idea of open-source. Free software, community-driven development, no vendor lock-in, full control over your data. It sounds like a tech utopia — until you're three hours into configuring a self-hosted auth layer on a Tuesday night and questioning every decision you've ever made.

We decided to stop theorizing and actually do it. Over six weeks, the Verilo team replaced the core proprietary SaaS tools in our editorial and dev workflow with open-source alternatives, running both stacks in parallel before making the final cut. The goal wasn't to prove a point. It was to find out whether the total cost of ownership — factoring in setup time, ongoing maintenance, the learning curve, and the occasional 2 a.m. debugging session — actually made the switch worth it.

Spoiler: sometimes yes, sometimes absolutely not.

What We Replaced (And What We Used Instead)

Our baseline stack included tools most US-based digital teams would recognize: a project management platform, a CMS, an analytics suite, a team communication tool, a CI/CD pipeline service, and a database-as-a-service backend. We're keeping the specific brand names vague on purpose — this isn't a takedown piece, and your mileage will vary based on team size and technical depth.

Here's how the replacements shook out:

• Project management → Plane (open-source alternative to Linear/Jira)
• CMS → Payload CMS (self-hosted, TypeScript-native)
• Analytics → Umami (lightweight, privacy-first, self-hosted)
• Team chat → Mattermost (Slack alternative, self-hostable)
• CI/CD → Woodpecker CI (Drone fork, runs on your own infra)
• Backend/database → Supabase (technically open-source core, with a managed option)

We ran everything on a mid-tier VPS cluster. Total monthly infrastructure cost landed around $80 — compared to roughly $1,100/month for the equivalent proprietary stack at our team size.

Where Open-Source Actually Won

Analytics was the easiest win by a wide margin. Umami took about 45 minutes to spin up, the UI is clean, and for editorial traffic data, it covers 90% of what we actually looked at in the previous tool. We weren't using advanced funnel modeling or cohort analysis day-to-day — we were checking page views, referral sources, and bounce rates. Umami does all of that without the bloat, and without the data-sharing implications of some commercial analytics platforms. If you're a small-to-mid team that isn't doing heavy conversion optimization, this is a near-perfect swap.

Payload CMS was a genuine surprise. We expected friction — configuring a headless CMS from scratch is not a casual Friday afternoon task. But once the initial setup was done, the developer experience was noticeably better than what we'd been using. TypeScript-first design, flexible content modeling, and a clean admin UI made it easy for non-technical team members to pick up quickly. The tradeoff: you need someone comfortable with Node.js to maintain it. If your team has that, it's a strong recommendation.

Supabase deserves its own mention. Technically it straddles the open-source/managed line (you can self-host, but most teams use their managed tier), but the open-source core means you're not completely at the mercy of pricing changes. The Postgres foundation is solid, the real-time features work well, and the dashboard is approachable. We'd been paying significantly more for a competing BaaS product with a less flexible data model.

Where Things Got Messy

Mattermost was the most emotionally complicated switch. It works. It genuinely works. But Slack has a decade of UX polish, and the gap is noticeable. Threads feel clunkier. The mobile app has occasional sync lag. Integrations with third-party tools required more manual configuration than we'd anticipated. Nobody on the team complained loudly, but nobody was excited either. For a fully remote US team where async communication is load-bearing infrastructure, "it works" isn't always enough.

Woodpecker CI had a steep ramp. Our previous CI/CD tool handled most configuration through a slick UI. Woodpecker is YAML-all-the-way-down, which is fine if your team lives in config files — and a real time sink if they don't. We lost about three developer-days getting pipelines back to parity. Long-term it's probably maintainable, but the short-term cost was real.

Plane was promising but unfinished. The roadmap looks great, the community is active, and the core issue-tracking functionality is solid. But some features we relied on — advanced automations, certain reporting views — simply weren't there yet. We ended up running it alongside our old tool for longer than planned, which is exactly the kind of limbo that kills migration momentum.

The Hidden Costs Nobody Warns You About

The subscription savings are real. But the accounting gets complicated fast.

Self-hosting means you own the uptime problem. Two of our services had unexpected downtime during the trial period — one from a misconfigured reverse proxy, one from a missed dependency update. Neither was catastrophic, but each required someone to stop what they were doing and fix it. That's time that doesn't show up in a cost comparison spreadsheet.

There's also the cognitive load of managing more moving parts. With managed SaaS, someone else handles security patches, backups, and scaling. With self-hosted open-source, that's on your team. For a small operation without dedicated DevOps, that overhead is a real consideration.

The Honest Verdict: Which Categories Make Sense

After six weeks, here's our working framework:

Go open-source when: the tool is relatively self-contained (analytics, CMS, lightweight databases), your team has the technical depth to maintain it, and the data privacy or cost argument is strong.

Stick with commercial when: the tool is deeply integrated into your team's daily communication and workflow (chat, email, calendar), uptime is non-negotiable, or the maintenance overhead would cannibalize your actual work.

The migration math only works if you're honest about what your team's time is actually worth. For us, the analytics, CMS, and backend switches paid off clearly. The communication and CI/CD tools are still under evaluation.

Open-source isn't free — it's a different kind of expensive. Whether that trade is worth it depends entirely on what your team is equipped to handle. We'd recommend trying one category at a time, measuring the real overhead, and resisting the urge to flip everything at once. That six-week timeline? It should probably have been twelve.