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AWS Cloud Infrastructure

Architect, migrate and scale on AWS with dedicated cloud engineers who work with AI tools. AI drafts the Terraform and CloudFormation, pipeline YAML and migration runbooks, and your engineer reviews and tests every change - so your AWS environment is ready sooner.

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Elastic Cloud Environments

Our DevOps architects build secure, globally distributed AWS architectures using Infrastructure as Code (IaC) principles.

Whether it’s adopting serverless architectures (Lambda), orchestrating large microservice deployments (ECS/EKS), or optimizing legacy EC2 workloads, we design against the AWS Well-Architected Framework.

We lower cloud footprints, increase operational resilience across availability zones, and lock down sensitive endpoints using IAM, VPCs, and WAF security perimeters.

2008

Founded

24h

Reply to inquiries

100%

Code & IP ownership

NDA

Signed before kickoff

AWS Cloud Servers Data Center Network

Operations

Infrastructure as Code

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Our AWS Competence

We combine AWS services into cohesive, auto-scaling environments, choosing the right tool for each workload.

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Compute & Serverless

We build auto-scaling EC2 clusters behind elastic load balancers for classical setups, or remove server management overhead with AWS Lambda. For container orchestration, our teams establish hardened EKS (Kubernetes) and ECS clusters running Fargate containers.

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Storage & IaC

Migrate large databases into Amazon RDS Multi-AZ instances or global DynamoDB tables. Every asset—from S3 buckets to VPC subnets—is codified using Terraform or AWS CloudFormation for reproducible, version-controlled infrastructure.

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AWS Engineering Services

From low-downtime database migrations to large-scale data lakes.

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Cloud Migration Strategies

We analyze your on-premises architecture, choose a migration strategy for each app (rehost, replatform, refactor and more) and move it to AWS with minimal disruption.

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Security & Compliance Hardening

We implement AWS Config, GuardDuty and strictly scoped IAM roles, designing environments around HIPAA, SOC 2 or PCI DSS requirements.

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CI/CD & DevOps Automation

Architecting AWS CodePipeline or GitLab runners to automate software delivery safely using blue/green or canary deployments.

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Cost Optimization & FinOps

Stop burning capital on idle processing. We analyze your AWS billing via Trusted Advisor and re-architect poorly sized EC2 instances and RDS limits.

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Serverless Development

Build API Gateway and Lambda environments connected to DynamoDB or SQS, with no server operating systems to patch.

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Data Lakes & Analytics

ETL pipelines built on AWS Glue, Redshift and Athena that let companies query large volumes of unstructured S3 data quickly.

Engagement Models

Flexible Ways to Work With Us

Every client relationship is different. We offer three engagement models to suit different team sizes, budgets, and timelines.

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Dedicated AI-Augmented AWS Engineer

A full-time AWS engineer embedded in your team, joining your stand-ups, sprints and pull requests. They use AI tools to draft infrastructure code, IAM policies and runbooks, and review every change before it reaches your accounts.

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Fixed Price Migration

A defined scope, fixed timeline, and a fixed budget for moving hardware to AWS. Best for well-specified projects. We provide a detailed SoW, milestone payments, and a sign-off process at each delivery phase.

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Time & Material Model

Pay only for the hours worked, with full transparency via weekly timesheets and detailed task logs. Ideal for evolving pipelines where infrastructure needs change frequently and you need maximum flexibility to reprioritise.

Pixel & Bots

Pixel-perfect software, delivered at AI speed

PixoBots stands for Pixel & Bots. Our Bots are dedicated developers who work with AI tools: AI takes the repetitive work, a developer reviews every line, and the result is pixel-perfect.

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Polished UI and clean, tested code - detail is part of the job, not an afterthought.

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Dedicated developers who join your team and use AI for boilerplate, tests and documentation.

Savings

AI-assisted delivery can save more than 50% of development cost compared with traditional development.

How AI-augmented delivery works

Ready to Deploy on AWS?

Work with our AWS architects to build secure, cost-efficient, scalable cloud infrastructure.

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Frequently asked questions

How much does AWS cloud migration cost? expand_more
The cost depends on scope. The main drivers are the number of applications and servers, whether you rehost, replatform or refactor, database migration complexity, compliance requirements and downtime tolerance. Your monthly AWS running costs are separate. PixoBots starts with an assessment, then quotes and prices the work by milestone.
How can we reduce our AWS bill? expand_more
Most AWS bills can be cut by right-sizing over-provisioned instances, using Savings Plans or Reserved Instances for steady workloads, Spot Instances for flexible jobs, Graviton-based instances, storage lifecycle policies and shutting down idle resources. We review Cost Explorer and usage data, apply quick wins first and set up budgets and alerts to prevent overspend.
Should we use serverless, containers or EC2 on AWS? expand_more
Use serverless (Lambda) for event-driven or spiky workloads where you want no servers to manage, containers (ECS or EKS) for portable microservices with steady traffic, and EC2 for legacy software or workloads needing full control. Many architectures combine all three. We choose per workload based on cost, scaling pattern and team skills.
How do you secure an AWS environment? expand_more
We follow the AWS Well-Architected Framework: least-privilege IAM, a multi-account setup with AWS Organizations, encryption with KMS, private networking, logging with CloudTrail and threat detection with GuardDuty and Security Hub. Infrastructure is defined as code so every change is reviewed and repeatable, and we sign an NDA before accessing your systems.
How long does a migration to AWS take? expand_more
A small application can move to AWS in a few weeks, while a portfolio of applications typically migrates in waves over several months. The timeline depends on the number of systems, their dependencies, data volume and whether applications are rehosted or modernised. We plan the waves after an assessment and schedule each cutover to keep downtime to a minimum.