Custom AWS DevOps Services Company
Since 2016, we've been creating AWS solutions that blend innovation and reliability in every project. With over 300 satisfied clients worldwide, we're proud to be a trusted AWS development company helping businesses achieve meaningful results.
We specialize in designing cloud architectures that are robust, scalable, and cost-efficient. Our AWS development team uses AWS's vast suite of services to tailor solutions that fit your business's needs. We ensure that your cloud infrastructure is optimized for high availability, performance, and security.
We manage the entire migration process, from assessment and planning to execution and post-migration support. Whether moving legacy systems, databases, or applications, we ensure smooth transitions to AWS's cloud environment.
By leveraging AWS tools like CodePipeline and CloudFormation, we automate infrastructure provisioning and deployment processes. This reduces manual intervention, increases consistency, and speeds up the release cycle.
We offer data analytics and implementation services using AWS's powerful analytics tools such as Amazon Redshift and Kinesis. Our AWS development team builds scalable data pipelines to transform raw data into actionable insights.
Our AWS development company provides comprehensive cloud infrastructure management services to ensure your AWS environment runs smoothly. We handle the monitoring, optimization, and scaling of your cloud infrastructure to ensure high performance and reliability.
As a leading AWS development company, we use serverless solutions to reduce infrastructure costs and improve scalability. With AWS Lambda, we build highly efficient, event-driven applications that automatically scale based on demand.
Amazon Web Services underpins a significant share of the world's production software, and for good reason — the breadth of managed services, the global infrastructure footprint, and the depth of tooling for security and compliance make it the default choice for teams that need to scale reliably. But AWS's breadth is also its trap: dozens of overlapping service options, complex IAM permission models, and cost structures that compound quickly without careful governance mean teams routinely overpay, under-secure, and over-engineer their deployments.
Codieshub has built and operated AWS infrastructure for product companies since 2016, across industries from regulated healthcare and fintech to high-traffic e-commerce and SaaS platforms. Our engineers hold AWS certifications but more importantly have accumulated the operational scar tissue that comes from running real systems at scale — the kind of knowledge that keeps your 3 AM PagerDuty alerts infrequent.
Whether you're migrating an on-premise workload to AWS, scaling an existing architecture that's hitting limits, or starting a new product and want infrastructure that grows with you rather than requiring rewrites, we bring the breadth of AWS expertise and the discipline to keep deployments maintainable rather than sprawling.
AWS gives you the tools to build almost anything, but without experienced engineers steering the architecture decisions, teams accumulate technical debt fast: underspecified IAM policies, oversized compute that wastes budget, single-AZ deployments that become single points of failure, and infrastructure drift between environments that makes deployments unpredictable.
Codieshub architects AWS environments with infrastructure-as-code (Terraform or CDK) from day one, enforcing consistency across dev, staging, and production. We right-size compute based on actual workload profiles, design multi-AZ resilience appropriate to your SLA requirements, and implement cost allocation tagging so every dollar traces back to a business function. Security follows a least-privilege posture with automated compliance checks built into the deployment pipeline.
Clients get AWS environments that are auditable, cost-monitored, and resilient — with runbooks, dashboards, and alert policies in place before go-live. Production incidents become observable and recoverable rather than mysterious and manual. Infrastructure scales under load without emergency intervention.
We'll audit your current setup and give you a prioritized list of improvements — no obligation.
The Work
Archive · 2016 → 2026
Browse all 35 cases→
Healthcare
Healthcare SaaS for mPATH Health
Kapital Bank
Fintech
Fintech Web Platform for Kapital Bank
Blendjet
E-commerce
Global E-commerce Funnels for Blendjet
Saudia Cargo
Transportation & Logistics
Logistics SaaS for Saudia Cargo
Marketplace Homes
Real Estate
PropTech Platform for Marketplace Homes
Rodeo
E-commerce
Shopify Subscription Plugin Built in 8 Weeks
Investment List
Fintech
Fintech Web Platform for Investor Discovery
Dot Drive
Fintech
Fintech Web Product for Dot Drive
TeamBuilder
Healthcare
Healthcare SaaS for TeamBuilder
4.9 / 5
Average client rating across platforms
93%
Net Promoter Score
150%
Client retention rate
SOC 2
Type II certified
Four ways to work with us — from surgical staff augmentation to fully managed delivery. All models share the same senior-first talent bench.
Full-time engineers embedded in your team for long-running engagements.
Explore Dedicated Teams↗Add senior specialists to an existing team — vetted, onboarded, and up to speed in weeks.
Explore Staff Augmentation↗Managed fixed-scope projects with a committed timeline and deliverables.
Explore Project Delivery↗Fractional senior technical leadership for architecture, hiring, and strategy.
Explore Virtual CTO↗Why Codieshub
The shortlist we get asked about on every call — what actually separates Codieshub from a dev shop.
We implement least-privilege IAM policies, VPC network segmentation, encryption at rest and in transit, and automated security group audits as baseline requirements — not afterthoughts. Compliance evidence is generated by the infrastructure itself.
Right-sizing, Reserved Instance planning, Savings Plans analysis, and cost allocation tagging are built into every engagement. Existing AWS accounts commonly carry recoverable spend in oversized compute, idle resources, and unoptimized data transfer — we surface and prioritize those opportunities during the engagement.
All AWS resources are defined in Terraform or AWS CDK — version-controlled, peer-reviewed, and deployed through CI/CD pipelines. No manual console clicks means no configuration drift and full reproducibility across environments.
We instrument deployments with CloudWatch metrics, structured logging, distributed tracing, and alert policies tuned to actual SLA thresholds — so your on-call engineers get actionable signals, not noise.
From ECS container orchestration to serverless Lambda architectures to EKS Kubernetes clusters, we select the compute model that fits your workload's scaling characteristics and operational maturity — and document the tradeoffs clearly.
We have run lift-and-shift, re-platform, and re-architect migrations for clients moving from on-premise, Azure, and legacy hosting. Migration plans include rollback strategies, traffic cutover approaches, and post-migration optimization phases.
Reviews

Ryan Pamplin
CEO · Blendjet
Blendjet case study→“Managing global scale requires extreme technical precision. Codieshub re-architected our funnels to perform under massive pressure.”

Farid Huseynov
CEO · Kapital Bank
Kapital Bank case study→“Reliability and scalability are critical for us. They approached the engagement with a strong technical foundation and a clear process.”

Steve Gebhardt
Founder · RSVLTS
RSVLTS case study→“Our old setup crashed during every major drop until Codieshub built a beast of an engine for us. They handled our traffic spikes perfectly.”

Michael Ou
Founder · CoolBitX
CoolBitX case study→“Security and precision are non-negotiable for us. They demonstrated solid technical judgment, were open to feedback from our engineers, and iterated quickly.”

John Bradford
CEO · PetScreening
PetScreening case study→“An external team can be just as committed and driven as our internal one. Their dedication and attention to detail have made them invaluable.”

Oliver Dlouhy
CEO · Kiwi
Kiwi case study→“We move fast and deal with a lot of edge cases. They kept up without cutting corners, which is rare. The team stayed responsive across time zones.”

Lisa Dunbar
CEO · Paradigm Labs
Paradigm Labs case study→“They did an excellent job balancing scientific nuance with a user-friendly experience. It's clear they care about both rigor and design.”

Davis Rosser
CEO & Co-founder · Elite Amenity
Elite Amenity case study→“The digital concierge we co-built is more than tech — it's a paradigm shift in resident experience. Luxury brands can now offer faster services.”

Vito Robles
COO · Percensys
Percensys case study→“They took feedback seriously, refined the details, and made sure our content and workflows were presented in a way that really works for our learners and admins.”
Enterprise-grade security and compliance across every engagement.
Nearshore teams that overlap with your working hours for real-time collaboration.
Near-perfect satisfaction scores across Clutch, DesignRush, and Manifest.
Process
Our engineers are not freelancers, and we are not a marketplace. Dedicated Codieshub seniors, seated with your team.
Before kickoff
Pre-kickoff technical and strategic review.
Before a single line of code, we sit with your team to align on stack, constraints, and what success looks like. Our VP Eng, CTO, and senior leads join — not a sales engineer.
Full review of your stack, goals, and constraints before kickoff
Session led by VP Eng, CTO, and the senior leads who'll staff the work
Architecture, tooling, and team shape agreed before the first sprint
Questions
The questions we get on every intro call — answered without the marketing gloss.
A greenfield AWS environment for a new SaaS product — including VPC, compute, RDS, CI/CD pipeline, and basic monitoring — takes 3–5 weeks to production-ready state. Migrations from existing infrastructure vary significantly: a lift-and-shift of a mid-size application typically runs 6–10 weeks including testing and cutover; re-architecture engagements that containerize or refactor services are typically 3–6 months depending on application complexity.
Keep exploring