Update checks are the noisiest traffic an update server ever sees. Every running copy of your app polls /checkVersion on a timer, almost always with the same parameters, and each call validates the app, channel, platform, and architecture before answering. At a few hundred clients that's nothing. At a hundred thousand, it's the same handful of answers recomputed millions of times a day — and the usual fix is database clustering, replication, and heavier ops you'd rather not run for an update server.

Performance Mode already takes the first bite out of this with a Redis cache at the API layer. The next step moves the hot read path off the origin entirely: serve repeated checks from object storage at the edge, and let the API handle only cache misses and the control plane.

Telemetry tells you who's running which version. It doesn't tell you when an update fails — when the download checksum doesn't match, the installer hits a full disk, or the app panics on first launch after a release. Those failures are exactly the ones you want to catch in the first hour of a rollout, before they reach the rest of your install base.

faynoSync's report ingestion fills that gap. Clients send short operational failure reports to a public endpoint; the server validates, groups, and aggregates them into a rollout-health picture by app, version, channel, platform, and architecture. The design is deliberately narrow: cheap to ingest, stable for aggregation, and bounded in storage — not a logging pipeline, an APM, or a Sentry replacement.

Once your app is in users' hands, the obvious questions follow: How many people actually run it? Which version are they on? Which platforms should you prioritize? Shipping updates blind is guesswork — faynoSync's built-in telemetry turns those questions into data.

The best part: it's privacy-first and you already have most of the plumbing. Telemetry is collected from the same /checkVersion calls your clients already make — you just add one header. This post covers what's tracked, the critical X-Device-ID header, how to enable it, the beacon endpoint for SDK/edge flows, and how to read the data.

Shipping an Electron app is easy. Keeping every user on the latest version is the hard part. Unlike apps on the App Store or Google Play, a desktop app you distribute yourself has no built-in update channel — so you have to build one.

This guide shows how to add automatic updates to an Electron app using faynoSync, a self-hosted, open-source update server. We'll cover two approaches:

Update checks are bursty and repetitive. Every running copy of your app polls the same /checkVersion endpoint with nearly identical parameters, and each call validates the app, channel, platform, and architecture against MongoDB. At a few hundred clients that's fine. At thousands it's the same handful of database queries, repeated thousands of times a minute.

Performance Mode fixes that with caching. This post explains how it works, how to configure Redis, how cache invalidation keeps results correct, and how to stack an optional Nginx microcache on top for a multi-layer strategy.

Ever needed a download link that always points to the latest version of your app — one you can put on a landing page, in a README, or inside a CI pipeline and never touch again? That's exactly what faynoSync's /apps/latest endpoint is for.

Instead of hardcoding myapp-1.2.3.dmg and updating it on every release, you point users at a stable URL and faynoSync resolves it to the newest matching build. This post walks through the endpoint with copy-paste examples for landing pages, OS auto-detection, shell scripts, and Docker.

Getting started with faynoSync development? Great! You have two main options for setting up your local environment. Whether you prefer a traditional local setup or the convenience of Docker, we've got you covered.

Managing a team of developers? Need to control who can do what in your faynoSync instance? Starting from version 1.4.0, faynoSync introduces a powerful Team Based Authorization Matrix that gives you complete control over your team's access and permissions.

This is role-based access control (RBAC) built for an update server: one administrator owns an isolated set of team users, each team user gets granular permissions per resource type, and no administrator can ever see another's data. This post walks through the model end to end, with copy-paste API calls verified against the Team Based Authorization docs.

When developing software, sometimes you need to keep things private. Whether it's internal tools, beta versions, or enterprise applications — not everything should be publicly accessible. That's why faynoSync comes with built-in support for private applications.

This post covers what private apps are, how to create one, how downloads are gated, and how private apps combine with team access control. Every flag and endpoint here is verified against the Create Application and private download docs.

In today's fast-paced world of AI and digitalization, more and more people, companies, and startups are creating their own applications. Depending on the type of app, you might publish it on platforms like Google Play, the App Store, and so on. These services not only handle publishing but also provide automatic versioned updates to end users.

But there's a small catch.