Instant edge spin-up for jili apps
Warm containers are pre-seeded in 18 regions, so a new jili app answers its first request in under 40 seconds. No image pulls on the critical path, no manual region plumbing.
想了解「Explore app features」?这里整理了 jili apps 的重点内容,帮助你快速掌握关键信息。
$ jili deploy --target=prod --region=auto
jili is a developer-first delivery layer for jili apps: one command provisions the edge runtime, wires the CDN, and pushes a signed build before your coffee cools. Instead of waiting on quarterly release trains, teams on jili ship small, reviewable changes on a fixed weekly cadence — the update frequency is the product.
Every jili apps workspace is composed from the same six primitives. You enable what you need, and the console composes them into one build pipeline. Nothing here is a checkbox feature — each module exists to shorten the distance between a commit and a live patch.
Warm containers are pre-seeded in 18 regions, so a new jili app answers its first request in under 40 seconds. No image pulls on the critical path, no manual region plumbing.
The release bot opens a patch slot every seven days and ships whatever passed review. Small diffs mean small blast radius, and rollback is a single pointer flip.
Lockfile-pinned toolchain so a 2026 build reproduces byte-for-byte on any machine.
Stream logs and vitals per route, filtered by release tag, without leaving the terminal.
Every bundle is signed at build time; the edge rejects anything unsigned before it serves a byte.
Each branch gets an isolated preview URL with its own data namespace. Reviewers click once, see the real build, and approve — which is why jili app updates rarely block on staging environments.
jili replaces four separate tools in the deploy path — init, build, push, rollback.
Update frequency is the whole argument for jili apps. Below is the running log for 2026 — every entry reflects a patch that reached all edge regions within the same day.
Push times dropped roughly 30% by skipping unchanged chunks. The --patch flag now accepts a message directly.
Routes invalidate individually instead of flushing a whole region, so a one-page fix no longer warms the entire cache.
Branch previews can now run migrations safely without colliding with production tables.
Unsigned bundles are rejected before serving. Existing jili apps were migrated automatically with no downtime.
Recovery time from a bad patch now measures in seconds rather than minutes.
The fastest way to judge a delivery layer is to read its commands. These are the three calls that cover most of the work in a real jili apps repository, plus a config block you can drop in unchanged.
#!/usr/bin/env bash # 1. scaffold a new jili app environment jili init my-app --runtime edge --region auto # 2. ship a patch tagged for the weekly cycle jili push --patch "hero perf + cache headers" # 3. verify the rollout landed everywhere jili status --regions 18 --json # 4. one-line recovery if vitals dip jili rollback --to previous
{
"runtime": "edge",
"patchCycle": "weekly",
"regions": "auto",
"signing": true,
"previews": {
"perBranch": true,
"isolateData": true
}
}
// patchCycle:"weekly" is what keeps jili app updates predictable — the bot holds the slot and ships whatever passed review.
The same primitives scale from a single maintainer to a platform team with hundreds of services. Pick the profile closest to yours.