HTTP APIs and webhooks
A request comes in, the function does one job, and the response goes back. Checkout hooks, form intake, and small partner APIs sit here.
Functions and scale-to-zero containers on AWS Lambda, Azure Functions, Google Cloud Functions, and the edge. The trade-offs, including cold starts and the bill, are part of the recommendation.
Short answer
Serverless application development is building the parts of a product that run as functions or short-lived containers and scale to nothing when nobody is calling them. It suits event-driven work, spiky traffic, and a first version that should not carry an always-on bill. It is a poor fit for long-running jobs and for traffic that is high and steady, where a container usually costs less and starts more predictably. We will say which of those you are looking at.
This page is the build
Choosing whether serverless belongs in the account at all is cloud consulting. Moving a system you already run is cloud migration. The wider build, including containers when they are the better shape, is cloud application development.
The pattern is the same in each: a short piece of work, triggered by something, finished, then gone. If the work does not look like that, we should not force it into a function.
A request comes in, the function does one job, and the response goes back. Checkout hooks, form intake, and small partner APIs sit here.
A message or an upload starts the work: resize an image, parse a file, fan a notification out. The queue holds the burst so the function does not have to.
A report, a cleanup, a sync. Once a night is a waste of an always-on process, and a natural fit for a function.
A campaign, a launch, a seasonal peak. Scale follows the calls, then drops. This is the case the cloud page already calls out as where serverless usually wins on cost.
Auth, a rewrite, a small response that should sit close to the user. We use an edge runtime, including Vercel, for that. A job that runs for minutes does not belong there.
Long-running work, a connection that has to stay open, and traffic that is high every hour. Those go on a container. That shape is written up as cloud application development.
We are not partnered with a provider, so the pick is not a commission. The note names one and the reason we would not pick the others.
The usual choice when the account is already AWS, or when the event sources you need are already there. It is also the one with the most ways to get locked into the surrounding services. We write that down.
Best when: Events, an existing AWS account
The practical choice when the company already runs on Azure. A second cloud, just for the functions, is rarely the saving it looks like on a diagram.
Best when: An existing Azure tenancy
The function model on Google. When you want a container that still scales to zero, Cloud Run is the other Google option, and it is the one our cloud page already names for spiky work. We say which of the two fits the way you ship.
Best when: Google today, or a container that can sleep
A short request close to the user, including on Vercel. Good for a gate, a rewrite, or a tiny API. Bad for anything that needs a database round trip on every call or a long runtime. We will not put the whole product there to make a diagram look modern.
Best when: A short check, not a long job
These are the three that decide it. None of them is a reason to avoid serverless. Each is a reason to use it on purpose.
A function that has been idle has to start again. The person waiting feels that on the first request, and sometimes on the next one if the platform froze the instance. We set the memory, the timeout, and what is allowed to block the response so a cold start is a delay and not a failed request. We do not promise a millisecond. If the product cannot tolerate the pause, we say so and keep a container warm instead.
The function itself can be ordinary code. The triggers, the identity rules, and the managed services around it are not. Moving later means rewiring those, not pasting a file into another cloud. We keep the business logic out of the trigger and write the infrastructure as code, which makes a move possible. It does not make the move free, and we will not tell you it is.
You pay for invocations and the time they run, plus the database, the queue, and the logs, which are often the real bill. Idle is cheap. Steady high traffic often is not. A lean serverless setup at launch often starts around $50–$200 a month in running cost. That figure is the industry estimate already on our cloud application page, not a Weblynx price, and it is not the fee to build it. Production systems with a database and a queue usually run higher.
Cloud application work here runs in two-week cycles, with something you can hit on staging at the end of each. A single function is not the same length of job as a product, so the proposal says which one we are quoting.
01
What starts the work, how long it is allowed to run, and what 'done' looks like for the person waiting.
02
One provider, and a sentence on why the other three lost. If the honest answer is a container, that is the recommendation.
03
The happy path and the first request after idle, on staging, before anyone calls it production.
04
A ceiling on concurrency, an alert before the invoice surprises you, and a running-cost estimate you can argue with.
05
The code, the infrastructure definition, and the cloud account are yours. We do not leave the project in a tenancy you cannot open.
The same providers as the rest of our cloud work. The row that matters is the one we refuse to use for the workload in front of us.
| Area | What we reach for |
|---|---|
| Functions | AWS Lambda, Azure Functions, Google Cloud Functions |
| Scale to zero, as a container | Google Cloud Run, and containers elsewhere when a function is the wrong box |
| Edge | Vercel for a short request close to the user |
| Around the function | Queues, object storage, a managed database, infrastructure as code |
| Shipping | GitHub Actions, and the provider's own deploy path when it is the simpler one |
We do not publish a single build price. A single API and a product with tenants, roles, and a backlog are different projects. The quote follows a scoping call. Running cost stays on your cloud account, separate from the build.
01
Fits when
A single event, end to end, including the cold start and a first look at the bill. Use this when the open question is whether a function fits at all.
02
Fits when
The events are known and version one has a boundary. Two-week cycles, with a staging build you can call at the end of each, which is how the rest of our cloud application work runs.
03
Fits when
The account shape is still open, or you are not sure a function belongs. The written recommendation, rather than a build, is Cloud consulting.
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It is building software so the compute runs only when something asks it to: a function, or a container that scales to zero, wired to the events, the data, and the alerts around it. It is not 'no servers'. The provider runs them. You stop paying for idle capacity, and you take on cold starts and a tighter tie to that provider's triggers.
Use the cloud you already operate, unless there is a reason not to. Lambda when the account is AWS, Azure Functions when the company is already on Azure, Google Cloud Functions when you want Google's function model. On Google, Cloud Run is the alternative when a container that scales to zero fits the team better. Edge runtimes, including Vercel, are for a short check close to the user, not for the whole product.
Bad enough to design for, not bad enough to reject the model on principle. The first request after idle waits while the function starts. We measure that on your workload before launch. If the product cannot tolerate the pause, a container that stays warm is the honest recommendation, and we will make it.
Partly. The business logic can move. The triggers, identity, and the managed services beside the function do not move for free. We keep the logic out of the trigger and describe the infrastructure as code so a later move is a project, not a rewrite from memory. Anyone who tells you there is no lock-in is selling the diagram.
At low or spiky traffic, usually yes. At steady high traffic, containers often cost less. That is the same answer on our cloud application page. A lean serverless setup at launch often starts around $50–$200 a month in running cost. That is an industry estimate for this kind of workload, not a Weblynx price, and it does not include the fee to build it. The database, the queue, and the logs are often where the bill actually grows.
When the job runs for a long time, when a connection has to stay open, or when traffic is high and steady. Also when the team needs the service to be locally identical to production and a function platform makes that awkward. We would rather say that in the proposal than discover it after the first invoice.
We do not publish one duration. A single function and a product are different lengths of work. Cloud application builds here run in two-week cycles with a staging build at the end of each. The proposal says how many of those the scope needs, after we have seen the events and the systems it has to call.
You do. Repositories, infrastructure definitions, and the cloud account are in your name. Provider charges stay on your bill. Our fee is for the build, not for reselling the cloud.
The wider build, including the container shape when a function is the wrong box.
Cloud application developmentThe written opinion before a build, when the account shape is still open.
Cloud consultingWhen the job is moving a system you already run, not building a new one.
Cloud migrationHow we talk about picking a provider for a small business, without a commission.
Read the articleRunning cost, separate from a build fee, for a small business looking at the bill.
Read the articleWhether a small business needs cloud hosting at all, before anyone picks a function.
Read the articleTell us what triggers it and how long it runs. If a function is the wrong box, we will say that. We reply within 24 hours.
Talk through the workload