Google Cloud Functions in Kolkata

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Google Cloud Functions

Single-purpose handlers wired directly to the events that should cause them to run.

Serverless compute

Chosen per project

Maintainable handover

Cloud Functions are at their best as the connective tissue of a system: a document lands in storage and a thumbnail appears; a record changes in Firestore and a notification goes out; a schedule fires and a report is generated. None of that justifies a running server.

They are also the natural backend for a Firebase application, where the triggers into the database and authentication are built in rather than assembled.

What we build with Cloud Functions

Firestore and Firebase Authentication triggers

Scheduled jobs replacing cron on a server

Webhook endpoints for third-party services

File processing when an object is written to storage

Where it fits — and where it does not

Good fit when

Event-driven glue between managed services

Firebase-backed mobile and web applications

Occasional or bursty work

Consider something else when

Sustained request volume — Cloud Run costs less at scale

Work needing a long execution time or large local scratch space

Common triggers

What tends to run as a function

Work that is real, short and event-shaped.

Storage events

Resize, scan or index a newly uploaded file.

Database triggers

React to a Firestore document changing.

Scheduled

Nightly summaries, reminders, cleanups.

HTTP webhooks

Payment and delivery callbacks.

How we work with Cloud Functions

One trigger, one purpose

Functions kept small so their failure modes are individually understandable.

Idempotent by design

Event delivery is at-least-once, so handlers are written to tolerate repeats.

Deployed from source control

Functions in the repository and released by pipeline, never edited in the console.

Alarms on failure

Error rate and execution count alerted on, including a function that stops firing.

Our typical Cloud Functions setup

Typical Cloud Functions stack choices and what we use for each
ConcernWhat we use
RuntimesNode.js, Python, Go
TriggersHTTP, Cloud Storage, Firestore, Pub/Sub, Cloud Scheduler
DeliveryAt-least-once, with idempotent handlers
SecretsSecret Manager, injected at runtime
MonitoringCloud Logging and alerting on errors and silence

Frequently asked questions

Functions for event-shaped work and Firebase triggers; Cloud Run once you have a real application, sustained traffic or a need to control the runtime. Many systems use both.

Yes, over a serverless VPC connector, so the database does not need a public endpoint.

That is the failure worth alerting on specifically — an alert on zero executions in a window, not just on errors.

Services built with Cloud Functions

Tell us what you are trying to build

Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.

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