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Use Case

Build Serverless Applications on AWS and Azure

Serverless applications on AWS Lambda or Azure Functions that scale with demand, cost nothing when idle and free your team from server upkeep.

Sound Familiar?

Five Signs Small Applications Cost Too Much to Run

An order-tracking service runs on two servers that are busy for an hour a day, and someone still patches, watches and pays for them every month. Serverless applications run code only when something happens, such as a file upload or a web request, and the cloud provider runs the servers underneath. Signisys, an IT services company in Noida, helps businesses across Delhi NCR and India design and build serverless applications on AWS and Azure.

Servers Running All Day for Short Bursts of Work

The Risk

File uploads, form submissions and nightly jobs need a few minutes of work, yet the servers behind them run around the clock and the bill stays flat.

How Signisys Helps

  • Find servers busy for only a few hours a day
  • List scheduled jobs that run on their own server
  • Price each one as a serverless function

Hours Lost to Patching Small Servers

The Risk

Developers and operations staff patch, resize and fix servers for small internal tools, and that time comes out of building features.

How Signisys Helps

  • Count hours spent on upkeep for small applications
  • Move suitable tools to a service the provider patches
  • Keep a record of who owns each function

Integrations Built as Fragile Scripts

The Risk

Scripts on a shared server copy files and call other systems on a timer, and when one fails nobody notices until data goes missing.

How Signisys Helps

  • List every script, what it connects and who owns it
  • Rebuild each one as a function with retries
  • Send an alert when a run fails

New Ideas Waiting for Servers

The Risk

Each new service needs servers, networks and approvals before anyone writes code, so small experiments turn into long projects.

How Signisys Helps

  • Set up one approved serverless pattern
  • Deploy new services through a pipeline
  • Measure the time from idea to first release

Where It Applies

Six Application Problems and What Fixes Them

Find the problem closest to yours, what it puts at risk and what fixes it.

The Risk

Paying all month for minutes of work.

What Reduces It

Functions that run only on demand.

ExploreCloud Cost Optimization and FinOps

The Risk

Data lost when one script fails.

What Reduces It

Functions with retries and alerts.

ExplorePower BI Consulting, Data Integration and Analytics

The Risk

Lost orders during busy periods.

What Reduces It

Automatic scaling with queues.

ExploreCloud Architecture, Reliability and Resilience

The Risk

New services stuck waiting for servers.

What Reduces It

A pipeline and an approved pattern.

ExploreDevOps and CI/CD Pipeline Automation

The Risk

One flaw opens many systems.

What Reduces It

Only the access each function needs, reviewed.

ExploreIdentity and Access Management

The Risk

Users report problems before IT knows.

What Reduces It

Logging, tracing and alerts for each service.

ExploreApplication Modernization and Observability

Why Now

When Serverless Is Worth a Look

Here are four moments when a serverless build deserves a decision.

A New Digital Service Has a Launch Date

The business wants something live in weeks, and there is no time to wait for servers.

A Small Application Needs a Rebuild

Rewriting an aging internal tool on the same servers would repeat the same problems.

Traffic Becomes Hard to Predict

A new partner, channel or campaign makes demand jump, and fixed servers struggle to keep up.

The Utility Server Is Due for Renewal

The shared server that runs scripts and scheduled jobs is aging, and replacing it means buying for idle time.

The Outcomes

What Changes With Serverless Applications

Five changes to look for once applications run serverless, and how to check each one.

Pay for the Work Done

Functions run when an event arrives and stop when it is done, so a quiet application can cost less than one on servers left running.

How you’ll know
  • Monthly running cost of each moved application tracked.
  • Idle servers retired counted.

No Servers to Patch

The cloud provider runs and patches the servers under each function.

How you’ll know
  • Hours spent on server upkeep each month tracked.
  • Small applications on unpatched servers counted.

Peaks Handled Without Manual Work

Capacity grows with demand and shrinks back afterward, with queues holding large batches.

How you’ll know
  • Errors and slowdowns during peak periods counted.
  • Manual scaling actions counted.

Failures Caught and Retried

Each function has retries, logging and alerts, so a failed run is seen and fixed.

How you’ll know
  • Share of failed runs caught by alerts before users notice tracked.
  • Integrations with retries and alerts counted.

New Ideas Live Sooner

Teams release small services through an approved pattern without waiting for servers.

How you’ll know
  • Time from idea to first release tracked.
  • Services built on the approved pattern counted.

Our Approach

How We’d Build Your Serverless Applications

We start with your applications, scheduled jobs and integrations, pick the ones that suit serverless and build the first one with your team.

Assess

Find the Right Candidates We look at server use, scheduled jobs, scripts and processes that start when something happens, and rank each one by how well it suits serverless.

You receive Applications ranked by serverless fit, with running costs. The Serverless Review covers this step.

Plan

Design the First Service We help design the first service with its events, data, security, logging and deployment pipeline on AWS or Azure.

You receive A design and cost estimate your team signs off.

Implement

Build It Properly Once We help build the first service with your developers, test it under peak load and release it through a pipeline.

You receive A working service and a pattern your team can reuse.

Govern

Set Ownership and Limits We help decide who owns each function, which permissions it gets, where spending alerts go and how changes are released.

You receive Ownership, permission and release rules with named owners.

Optimize and Manage

Review Cost and Performance Where ongoing support is agreed, we review designs, tune memory and timeouts and report on cost and failures.

You receive Serverless cost and failure reports on an agreed schedule.

Want to understand how we deliver? Explore our Technology Delivery Methodology

How It All Works Together

How a Serverless Application Works

An event starts the work, a function handles it and the result is stored or passed on. A queue holds work during busy periods, and the cloud provider adds or removes capacity.

One Serverless Standard

  • Approved patterns, permissions, logging, cost alerts and release rules, agreed with your development lead and security owner.
  • Reviewed when a new service type is added and each year.

Check Your Applications

Events

A web request, file upload, message or timer.

Start

Functions

Short pieces of code that run only when an event arrives.

Store or pass to

Data and Queues

Databases, file storage and queues that hold work during peaks.

Reach

Users and Systems

Applications, partners and business systems get the result.

Cost, failure and performance reports update the patterns and the serverless standard

A Function Fails

A run fails because another system is down or the data is wrong.

Retried, then alerted

The Owner Fixes It

The failed work waits in a queue until the owner fixes the cause.

Works With What You Have

  • Connects to your existing databases and business systems.
  • Leaves applications busy around the clock on servers or containers where that costs less.

Security and Governance

  • Each function gets only the permissions it needs.
  • Changes released through a pipeline with review.
  • Spending alerts for every service.

What Is Covered

  • Serverless functions, events and queues on AWS and Azure.
  • Logging, alerts, permissions and deployment pipelines.

Technologies

Tools Behind Serverless Applications

Each part below covers one job in building and running serverless applications, from the standard to the cost report. If a tool you already pay for covers a part, we use it first.

Serverless Standard

Record approved patterns, permissions, logging and release rules.

Type: Governance

Permissions and Secrets Controls

Give each function only the access it needs and keep keys out of code.

Type: Security

Functions, Events and Queues

Run code on demand and hold work in queues during peaks.

Type: Platform

Load and Failure Testing

Test each service at peak traffic and when another system is down.

Type: Quality

Development Lead and Service Owners

Name who builds each service and who answers when it fails.

Type: People

Service Records and Runbooks

Keep each service’s design, owner and written steps for failures.

Type: Documentation

Cost and Failure Reports

Show spend, failed runs and response times on an agreed schedule.

Type: Reporting

Your First Step

Start with a Serverless Review

We look at your applications, scheduled jobs and integrations, and show which ones suit a serverless design on AWS or Azure. Nothing is changed during the review. You get workloads ranked by serverless fit, current and estimated serverless running costs and a recommended design for the first one. The findings are yours to keep.

Book a Serverless Review

What happens next?

  1. We walk you through the findings on a call.
  2. Then it’s your decision, with no obligation to go further.

Scope

  • Small applications, APIs and integrations
  • Scheduled jobs and event-driven processes

You Provide

  • A list of applications and their servers
  • Read-only access to usage metrics
  • Time with your development lead

You Receive

  • Workloads ranked by serverless fit
  • Estimated running costs before and after
  • A recommended design for the first one

Cost and Timing

  • No charge, with a fixed scope
  • Timing depends on the number of applications and jobs involved, so talk to us

Keep Reading

Explore Insights and Resources

FAQs

Serverless Applications: Frequently Asked Questions

What is a serverless application?

A serverless application runs code in response to events, such as a web request, a file upload or a timer. The cloud provider runs, scales and patches the servers underneath, and on pay-per-use plans you pay for the work done.

Does serverless mean there are no servers?

No. The servers still exist, but the cloud provider runs and patches them. Your team writes and owns the code, and the provider adds or removes capacity as events arrive.

What does AWS Lambda do?

AWS’s AWS Lambda guide describes it as a serverless compute service that runs code without servers to manage, with AWS handling maintenance, capacity, scaling and patching. Billing is pay-per-use, with no upfront commitment.

What does Azure Functions do?

Microsoft’s Azure Functions overview lists uses such as processing file uploads, running scheduled tasks, building web APIs and processing message queues. It recommends the Flex Consumption plan, with pay-as-you-go billing, for new apps.

Is serverless cheaper than servers?

For applications that sit idle much of the day or have uneven traffic, it can be. For applications busy around the clock, containers or reserved servers can cost less. The review compares both for each application.

Which applications suit serverless?

File processing, scheduled jobs, web APIs, integrations between systems and other work that reacts to events suit serverless well. Long-running processes and applications with steady heavy load can suit other designs better, and we compare both for each one.

How long can a serverless function run?

AWS’s Lambda guide gives event functions up to 15 minutes per call, with Lambda Durable Functions for longer multi-step workflows. On Azure Functions, run time depends on the hosting plan, and Microsoft lists unlimited run time for the Premium plan. We split long jobs into steps or move them to another service.

What is a cold start?

A function that has not run recently can take a little longer to start. For background work this rarely matters. Where response time matters, plans with instances kept warm reduce the delay. Microsoft’s overview describes the Azure Functions Premium plan as keeping instances warm for the fastest response times.

Does serverless lock us into one cloud?

Partly. Each cloud has its own functions and event services. Keeping business logic separate from cloud-specific code reduces the work of moving later, and we design for that where it matters to you.

How do we replace fragile integration scripts?

Rebuild each script as a function started by a timer or an event, with retries when another system is down and an alert when a run fails. Our Connect Applications and Business Systems use case covers wider integration design.

How is a serverless application kept secure?

Each function gets only the permissions it needs, keys are kept in a secrets store rather than in code and changes go through a reviewed pipeline. Inputs from users and partners are checked before use.

How do we see what serverless applications are doing?

Each function sends logs, traces and failure alerts to one monitoring tool, so the owner sees errors and slow runs. Our Application Modernization and Observability solution covers this in detail.

How do we control serverless costs?

Set memory and timeouts from testing, add spending alerts for each service, watch for functions that keep triggering each other and review the bill each month. Costs follow use, so a sudden jump points to a fault or a surge.

Can our developers build serverless themselves?

Yes. We build the first service with them and leave an approved pattern, so they can build the next ones. Where ongoing support is agreed, we review their designs and costs as they go.

Can serverless connect to our existing databases?

Yes. Functions can read and write existing databases and call business systems, in the cloud or in your offices over a secure network link. Connection limits are planned so a traffic peak does not overload the database.

How is this different from modernizing legacy applications?

Modernizing legacy applications covers moving and rebuilding older systems in several ways. Serverless is one way to build, suited to event-driven and uneven workloads. Our Modernize Legacy Applications use case covers the wider choices.

Which platforms do you work with?

We work with AWS and Microsoft as a Technology Partner, building serverless applications on AWS and Azure.

What happens in the Serverless Review, and what does it need?

The Serverless Review looks at your applications, scheduled jobs and integrations, and ranks them by how well they suit serverless. It needs a list of applications and their servers, read-only access to usage figures and time with your development lead. We walk you through the findings on a call. Signisys is based in Noida and works with businesses in Delhi NCR and across India; book through this page or call +91 7669 966 966. A Signisys specialist responds within 1 business day, and there is no obligation to go further.

Discuss a Project

Stop Paying for Idle Servers

A free review finds the applications and jobs where serverless would cut cost and upkeep the most.

What happens next?

  1. We Get in TouchA technology specialist contacts you within 1 business day.
  2. We Understand Your NeedsWe arrange a 60-minute discovery session to understand your requirements.
  3. We Assess Your EnvironmentWe evaluate your needs, identify opportunities and recommend the right approach.
  4. We Define the Way ForwardWe present a tailored proposal with clear scope, deliverables and expected outcomes.
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Existing Clients

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For questions about an ongoing engagement, contact your Signisys account team, or reach us directly by phone or email.

What happens next?

  1. We Acknowledge Your RequestYour account team responds within 1 business day.
  2. We Establish OwnershipWe understand your requirement and connect you with the right team.
  3. We Work on Your RequestThe relevant specialist coordinates with you to address your requirement.
  4. We Ensure ClosureWe follow through, confirm resolution and keep you informed.

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