Ignite runs your code the millisecond an event arrives — a webhook, a queue message, a row change, a cron tick — then tears it down before the meter starts on idle. Nothing to provision. No cold-start tax. Functions that spark to life, do the work, and disappear.
The event backbone behind backends that never sleep
Most platforms keep a server warm just in case. Ignite keeps nothing warm and still answers in milliseconds — because the runtime, the scheduler, and the network were designed as one machine, not three bolted together.
Our microVMs resume from a frozen memory snapshot instead of booting an OS. The first request after an hour of silence lands as fast as the millionth. We never pre-warm, and we never bill you to.
Wire a function to a queue, an object upload, a database row change, a schedule, or an HTTP route. The event is the contract: you write the handler, we deliver the payload and the retries.
Idle costs nothing — not a cent of reserved capacity. A 3 a.m. traffic spike fans out to ten thousand isolated instances and back down before the dashboard finishes redrawing.
Every event is fenced with an idempotency key and retried with backoff until it lands. Duplicate deliveries are deduped at the edge, so your handler never has to.
Durable execution checkpoints a function between steps. A workflow can sleep for thirty days, then resume on the exact line it paused — no orchestrator, no babysat queue, no state machine to hand-roll.
What the spark looks like at scale
No YAML labyrinth, no provisioning step, no deploy you schedule for a quiet Tuesday. Push your code; Ignite builds it, isolates it, and routes the first event before your terminal finishes scrolling.
Connect a repo and every commit becomes a versioned, one-click-rollback deployment. Pull requests get a live preview function on their own URL, automatically.
First-class runtimes for TypeScript, Python, Go, and Rust — plus any binary you can drop in a container. Same cold start, same per-millisecond billing, your call.
Stream structured logs and traces straight to your terminal as events fire. Every line is linked back to the exact event that triggered the invocation.
Caught a bug in production? Pull the exact payload from the event log and replay it against your local function, byte for byte, until the fix holds.
Ignite is happiest gluing systems together. These are the shapes our teams reach for first — each one a handler, a trigger, and nothing else to run.
Catch payment events, verify the signature at the edge, and write to your ledger with exactly-once guarantees. No double charges, even when Stripe retries.
An image lands in storage; Ignite fans out to resize, transcode, and tag it across parallel functions, then writes the manifest back when the last one finishes.
Drain a message queue with automatic concurrency limits and dead-letter handling. Back-pressure is the platform's problem now, not a thing you tune by hand.
Schedule a function down to the second across regions. It wakes, aggregates the day, writes the report, and bills you for the ninety seconds it was alive.
A row changes in Postgres and Ignite streams the delta to your search index inside the same heartbeat. No polling loop, no nightly reindex, no drift.
A workflow that sleeps between emails for a month and resumes precisely where it left off — with zero infrastructure kept alive in the gaps.
“We deleted an entire Kubernetes cluster that existed only to run cron jobs and webhooks. The compute bill dropped 71% the first month, and on-call went quiet.”
“Cold starts were the one reason we never went serverless. Ignite's first request comes back in single-digit milliseconds. That objection just evaporated.”
“Durable workflows replaced an orchestration service we were dreading building. A function sleeps two weeks and wakes on the right line. We shipped the feature in an afternoon instead of a quarter.”
Billing is per millisecond of execution. A function that sleeps costs exactly nothing. No seats, no reserved capacity, no surprise egress line on the invoice.
For side projects and the first version of everything.
For production backends real users depend on.
For event volume measured in billions.
We snapshot a fully-initialized microVM to memory and resume from that frozen image instead of booting an OS and runtime on every cold request. Your function is serving traffic before a traditional container has finished starting its kernel.
HTTP requests, message queues, object-storage uploads, database row changes, scheduled crons, and any event you publish to our event bus. A single function can listen on several triggers at once.
Failed invocations retry with exponential backoff, fenced by an idempotency key so the retries stay safe. Anything that exhausts its retries lands in a dead-letter stream you can inspect, fix, and replay.
No provisioning, no warm-pool tuning, no per-region setup, and no cold-start penalty. You wire a trigger to a handler; we own everything between the event and your code — scale, isolation, and delivery guarantees included.
No. Functions are plain TypeScript, Python, Go, Rust, or any container. Triggers map to open standards like CloudEvents, so your handlers stay portable the day you want to leave.
Free for two million invocations a month. No credit card, no sales call, no cluster to stand up first.