Deploy · Run

AWS cloud and DevOps

AWS infrastructure set up, deployed, and then actually operated — monitoring, scaling, and cost control included.

The problem

Deploying to AWS is not the same as running on AWS

A lot of teams get as far as an EC2 instance and a manual deploy, then discover there is no backup, no alerting, and no idea why the bill grew. Setting the infrastructure up is a week. Running it is the job.

What we do

What's included

Architecture design and review
EC2, ECS, Lambda, RDS, S3, CloudFront, Route 53
Infrastructure as code, so the setup is reproducible
CI/CD pipelines with staging and rollback
Monitoring, log aggregation, and alerting
Cost review and right-sizing
Backups and a restore procedure that has been tested

Stack we use here

AWS
Docker
GitHub Actions
Terraform
CloudWatch
Nginx

How it runs

Process

01
Review what exists
Before changing anything we document the current setup and where it will hurt.
02
Design the target
An architecture diagram you can read, with the cost implications stated.
03
Build it as code
Reproducible infrastructure, so recovery is a command and not an archaeology project.
04
Operate it
Alerts routed to a person, monthly cost review, and patching.

Specifics

What we actually check and configure

A cloud engagement is easy to describe vaguely, so here is the concrete list.

IAM roles scoped, root account locked down with MFA
VPC, subnets, and security groups reviewed
RDS automated backups on, with a restore actually tested
S3 buckets private by default, versioning where it matters
CloudFront and Route 53 configured with TLS
CloudWatch alarms on error rate, latency, disk, and spend
Deploy pipeline with a staging step and one-command rollback
Secrets in Secrets Manager or SSM, never in the repository

Deliverables

What you end up with

Architecture diagram and decision record
Infrastructure as code in your repository
CI/CD pipeline with staging and rollback
Monitoring dashboards and alert routing
Tested backup and restore procedure

FAQ

Yours, always. You own the account and the bill, we operate inside it with scoped access. That means you can end the arrangement without a migration.

We are not going to display a badge we have not earned. What we can show you is an architecture we run and the reasoning behind it.

Yes. That starts with a review, and we will be direct about what needs fixing before it is safe to operate.

Where this sits

This is one stage of four. We do all of them.

01DesignDiscovery, UX flows, and a UI system.
02BuildWeb, mobile, and backend.
03DeployCloud infrastructure and CI/CD.
04RunMonitoring, scaling, and support.

Let's talk

What's included

Architecture design and review
EC2, ECS, Lambda, RDS, S3, CloudFront, Route 53
Infrastructure as code, so the setup is reproducible
CI/CD pipelines with staging and rollback
Monitoring, log aggregation, and alerting
Cost review and right-sizing
Backups and a restore procedure that has been tested

Stack we use here

AWS
Docker
GitHub Actions
Terraform
CloudWatch
Nginx

Process

Review what exists

Before changing anything we document the current setup and where it will hurt.

Design the target

An architecture diagram you can read, with the cost implications stated.

Build it as code

Reproducible infrastructure, so recovery is a command and not an archaeology project.

Operate it

Alerts routed to a person, monthly cost review, and patching.

What we actually check and configure

A cloud engagement is easy to describe vaguely, so here is the concrete list.

IAM roles scoped, root account locked down with MFA

VPC, subnets, and security groups reviewed

RDS automated backups on, with a restore actually tested

S3 buckets private by default, versioning where it matters

CloudFront and Route 53 configured with TLS

CloudWatch alarms on error rate, latency, disk, and spend

Deploy pipeline with a staging step and one-command rollback

Secrets in Secrets Manager or SSM, never in the repository