

AWS has become the foundation for modern product development, and startups and SMEs often require guidance on how to utilise it efficiently. At CODE B, we help teams make clear, confident decisions across their AWS landscape, covering migrations, architecture design, security, cost control, and ongoing cloud enhancement.
Key AWS Strengths:
70+
Projects Launched
50+
Satisfied Customers
7+
Years Experience
97%
Client Retention
As a trusted global software development partner, we bring dedicated expertise and proven delivery experience to support enterprise-grade software solutions worldwide.

Our achievements reflect our dedication to quality and expertise across various fields. With certifications in industry standards and partnerships with leading platforms, we uphold the highest benchmarks in software development and service delivery. Trust in our commitment to excellence for your projects.





















We define AWS architectures that align with the needs for compute, networking, storage, and data. Our team structures VPCs, subnets, IAM roles, and resource layouts to support reliable workloads and future application expansion.
Our engineers plan and execute structured migrations of databases and workloads to AWS with minimal disruption. The team handles assessments, data transfer, environment setup, and post-migration validation.
Legacy applications are upgraded using microservices, containers, and event-driven patterns. Our experts refactor key components, integrate AWS-native services, and align systems with cloud best practices to improve performance.
Our DevOps solutions automate builds, deployments, and cloud environments. Engineers configure CI/CD pipelines, infrastructure-as-code workflows, monitoring systems, and release processes to support predictable cloud operations.
Engineers set up and manage Kubernetes workloads on Amazon EKS, handling cluster configuration, scaling, networking, and container orchestration. This service supports deployments and dependable operations for container-based apps.
Engineers design backup, recovery, and failover plans using AWS services. The team configures snapshots, replication methods, retention policies, and recovery workflows to help protect workloads and restore key systems during outages.
Security in AWS cloud environments is strengthened through IAM policies, network controls, encryption layers, and detailed logging. Our team implements AWS best practices and supports compliance needs across your cloud infrastructure.
Our AI/ML engineers build and deploy models using AWS tools like SageMaker, Bedrock, and Comprehend. The service includes data prep, model training, evaluation, and integration to add AI features and intelligence to your product.
Engineers analyse AWS usage patterns, instance choices, storage layers, and service activity to identify unnecessary costs. The service fine-tunes resource allocation and helps maintain controlled spending across your AWS environment.
Startups and SMEs need a cloud partner who works inside the product plan, not outside it. The right team studies how your system behaves, how releases move, and where the cloud setup must support growth without slowing delivery. Their work should remove uncertainty and keep the environment ready for what the product needs next.
Clear decisions matter when working with AWS. This includes how cloud setup is shaped, how data moves, how deployments run, and how costs stay within plan. Teams that communicate early, share outcomes openly, and match their pace to yours keep work steady and prevent disruption as the product grows.
Certain signals help you avoid the wrong fit. Low-cost setups often fail as usage grows. Certifications reflect how teams learn and maintain standards, not just what they claim. And cloud work doesn’t end at migrating your environment needs steady refinement as the product expands.
The partner you choose should leave you with a cloud setup you can follow, a process you can rely on, and an environment that supports upcoming releases instead of creating repeated fixes.
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Requirement Mapping & Cloud Planning
We begin by understanding your product’s structure, data needs, and operational goals. This helps us map the AWS services, environments, and resource groups that best support your application.
Phased Setup & Technical Implementation
Engineers configure architectures, deploy services, migrate components, and integrate backend workflows in planned phases. You see steady progress with clear checkpoints as each AWS layer takes shape.
Ongoing Collaboration & Environment Refinement
As your application evolves, we provide continuous input on performance, security, and future updates. This keeps your AWS environment aligned with product decisions and technical priorities.
They have strong expertise in the latest technologies and provide excellent guidance in using them effectively.
CODE B launches the products quickly, and their solutions have excellent architecture and are scalable.
CODE B is proactive in coming up with solutions.
Aside from getting the job done, they’re able to provide their expertise and share their opinion.
They’re a very bright team that requires minimal levels of communication or time investment to be very effective.
Their constant communication was a key aspect of the success.
They completed the project within the timeline we gave them, and they did it within budget.
Had a great experience working with the team and in times of crisis, CODE B team was always there to support us.
The way that they have supported us by giving us one of their developers to work directly with our development team.
Our overall experience has been very positive.
They are friendly and reliable.
The ability to deliver on time impressed us the most.
They’re excellent at what they do and come up with solutions for various problems.
CODE B will work overtime to resolve issues, which is a difficult trait to find.
Code B’s communicative.
I’ve had a great experience working with CODE B
The main positive point of working with CODE B team is their analyzing skills.
They are receptive and try to adjust to meet our requirements.
Cloud architecture is shaped around how the product functions, including its load patterns, data movement, user activity, and release timelines. Hence, the AWS environment supports real product behaviour, not a generic template.
Cloud work is delivered inside existing team rhythms and tools. Changes, deployments, and environment updates move forward without slowing feature development or interrupting ongoing cycles.
Each AWS service and resource choice is made with long-term usage patterns in mind. The setup avoids unnecessary capacity, reduces bill surprises, and gives teams a clear view of where spending goes.
The environment is prepared for high traffic, failures, integration pressure, and compliance needs from the start. Product teams gain a cloud foundation that stays steady under real operating conditions.
The AWS setup evolves with the product. Monitoring, adjustments, and refinements continue after deployment, keeping the environment aligned with new features and growing user activity.

A cloud setup needs a clear starting structure before any migration, build, or optimisation takes place. This phase defines how the AWS account is arranged, how services are grouped, and how data and traffic move across the system. It shapes the base your product depends on, making sure future work is not slowed down by unclear layouts or repeated fixes. The structure also sets the path for deployments, access, and day-to-day operations so the team can build without friction. It also defines how CI/CD pipelines move changes across environments, so releases stay consistent and predictable from the start.
For startups and SMEs, this early structure prevents cloud sprawl and helps teams avoid decisions that become harder to undo later. By planning this foundation early, the cloud stays organised as the product grows, new features are added, and usage patterns change. It becomes the layer every other part of your AWS setup relies on, keeping work steady from the first release onward.
This planning covers:
Account and workspace setup
The cloud account is organised into clear sections for core systems, shared components, and supporting tools. This keeps early work structured and gives the team a predictable place for every part of the system.
Network and connection layout
Routes and internal connections are arranged, so services communicate without overlap or confusion. This reduces issues that appear later when workloads grow or new parts are added.
Service placement and grouping
Compute, storage, data, and background tasks are placed in a layout that matches how the product operates. It keeps related functions together and makes future updates easier to manage.
Environmental planning for releases
Development, testing, and production run as separate spaces with their own paths for changes. This keeps live usage steady while updates, fixes, and new features move forward safely.