Engineering service 01

AWS Cloud Engineering

Get AWS infrastructure designed by engineers who ship products on it daily — not generic diagrams that fall apart in production.

  • Senior-led
  • Production-minded
  • Built to hand over
System blueprint Delivery ready
Designed for Production
01 AWS architecture design and workload mapping
02 EC2, ECS, and Lambda deployment patterns
03 RDS, DynamoDB, and data store configuration
04 S3 storage, CDN, and asset delivery
StrategyBuildOperate
01

The engagement

From a real constraint to a system that works.

Where things break

The problem

Your AWS bill grows every month but reliability does not. Resources are over provisioned, security groups are wide open, and nobody documented why things were set up this way. Scaling events become emergencies.

What changes

How we help

We engineer AWS environments matched to your workload: right sized compute, managed databases, secure networking, and cost visibility. Senior engineers build and document infrastructure your team can operate — with IaC, monitoring, and runbooks included.

02

What we can own

Senior execution across the critical path.

  1. 01

    AWS architecture design and workload mapping

  2. 02

    EC2, ECS, and Lambda deployment patterns

  3. 03

    RDS, DynamoDB, and data store configuration

  4. 04

    S3 storage, CDN, and asset delivery

  5. 05

    VPC networking, security groups, and IAM policies

  6. 06

    Infrastructure as code with Terraform or CloudFormation

  7. 07

    Cost optimization and reserved capacity planning

03

Where it creates value

Built around real operating scenarios.

01

Startup launch → AWS foundation → auto scaling → cost alerts

02

On prem lift → AWS architecture → phased migration → cutover

03

Monolith split → containerized services → ECS → service mesh

04

Compliance needs → encrypted storage → audit logs → backup policy

04

Why Aizaz Studio

Built for momentum without creating tomorrow’s mess.

01

Architecture matched to the workload

Compute, storage, database, network, and managed-service choices follow traffic, recovery, security, and team constraints.

02

Infrastructure that can be reproduced

Infrastructure as code, environment conventions, and change review replace undocumented console configuration.

03

Cost and operations visible together

Tagging, budgets, logs, metrics, backups, and runbooks make the environment accountable after launch.

01

Choosing the right AWS architecture

A small product rarely needs the same architecture as a high-volume ingestion platform. We compare managed services, containers, serverless functions, databases, queues, and storage against workload shape, recovery needs, compliance, latency, cost, and the skills of the team that will operate it.

The simplest architecture that meets the operational requirement is usually the most durable starting point.

02

AWS security and environment foundations

Account and environment separation, least-privilege access, secrets management, network boundaries, encryption, logs, backups, and alert ownership form the baseline. Infrastructure as code records those decisions and makes review possible.

We keep security controls proportional to the data and business risk while preserving a path for later compliance work.

03

Scaling without hiding operational complexity

Horizontal scaling helps only when queues, databases, caches, and external dependencies can absorb the load. We design around the real bottleneck and add capacity tests and service-level signals before increasing architectural complexity.

Systems architecture

1Archiver was designed around high-volume, verifiable ingestion

The compliance email-archiving platform separates connectors, processing workers, the compliance system of record, raw storage, and search so each part can scale and remain auditable.

05

How we deliver

A clear path from context to production.

  1. 01

    Assess workload and risk

    Document traffic, data, recovery, security, latency, cost, and team constraints before choosing services.

  2. 02

    Build the repeatable foundation

    Implement accounts, networking, identity, infrastructure as code, delivery pipelines, logging, and backups.

  3. 03

    Validate and transfer

    Test recovery and scaling assumptions, tune cost signals, document runbooks, and hand operating knowledge to the team.

FAQs

Frequently Asked Questions

Do you only work with AWS?+

AWS is our primary platform. We integrate with Cloudflare, Vercel, and hybrid setups when they fit your architecture, but deep cloud engineering is AWS focused.

Can you reduce our existing AWS bill?+

Often yes. We audit unused resources, right size instances, optimize storage tiers, and set billing alerts so costs stay predictable.

Do you use infrastructure as code?+

Yes. Every environment we build is reproducible through Terraform or CloudFormation, not manual console clicks.

How do you handle security on AWS?+

Least privilege IAM, encrypted data at rest and in transit, network segmentation, and security group reviews aligned with your compliance needs.

Can you support our team after the initial build?+

Yes. We offer ongoing infrastructure support, incident guidance, and iterative improvements as your product scales.

Next step

Review an AWS architecture decision

Tell us the workload, recovery needs, security constraints, and operating team. We will recommend a proportionate path. hello@aizaz.studio +92 334 2056691