Solutions Architecture
We design scalable, resilient, and cost-optimized architectures on AWS, with proven patterns in systems that process millions of transactions. It's not just about migrating to the cloud, it's about designing systems that scale with your business, with predictable costs and reliable performance.
Who It's For
Companies with systems that need to scale, migrate to the cloud, or reduce infrastructure costs. Whether you're designing a new platform from scratch or need to redesign an existing architecture that can't support growth, this service delivers a solid technical design backed by production-proven patterns. Ideal for CTOs, solution architects, and engineering leaders who need to make infrastructure decisions with confidence and long-term vision.
Deliverables
What You Gain
Architecture that scales with the business without redesigns
A well-thought-out design from the start allows growing from thousands to millions of users without rewriting the system.
Reduced infrastructure costs
Cloud resource optimization with auto-scaling, serverless, and right-sizing to pay only for what you use.
Faster feature delivery
Decoupled services allow independent teams to deploy without complex coordination.
Resilience and availability above 99.9%
Multi-AZ design with automatic failover and disaster recovery built into the design.
Full system visibility with integrated observability
Metrics, logs, and distributed tracing that detect and resolve issues before they impact users.
Cloud-native from the start
Architectures designed to leverage managed services, serverless, and auto-scaling from the first iteration.
Independent team deployments
Decoupled services allow each team to deploy at their own pace without complex coordination or maintenance windows.
Best Practices
Design for failure
Assume components will fail and design for automatic recovery. Implement circuit breakers, retries with exponential backoff, and health checks. Resilient systems don't avoid failures, they handle them gracefully.
Optimize costs from the design
Use serverless architectures and auto-scaling to pay only for what you consume. Implement resource tagging, budget alerts, and monthly cost reviews. 33% of cloud spending is wasted, don't be part of that statistic.
Document decisions with ADRs
Every architecture decision should be recorded with its context, evaluated alternatives, and reasons for the choice. Architecture Decision Records (ADRs) prevent the team from repeating discussions and preserve institutional knowledge.
Observability from day one
Implement metrics, structured logs, and distributed tracing from the first iteration. Don't wait for production issues to instrument. A system without observability is a system operating blind.
Patterns & Practical Cases
Successful cloud architectures share common patterns that enable scaling without rewriting. They use asynchronous communication between services to decouple components, event-driven architecture to react to changes in real time, and multi-account strategies in AWS to isolate environments and control costs.
Asynchronous communication
Systems processing millions of transactions use queues (SQS) and topics (SNS) to decouple producers from consumers. This allows each component to scale independently and the system to absorb traffic spikes without degrading performance.
Read-write separation
The CQRS pattern allows optimizing read and write operations independently. E-commerce platforms and marketplaces have reduced response times below 200ms by separating query models from command models.
Key patterns
Technology Ecosystem
Leading cloud platform with over 200 services for compute, storage, databases, and networking. Enables serverless, microservices, and event-driven architectures with high availability and optimized costs.
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Infrastructure as code to provision and manage cloud resources in a reproducible and versioned way. Define complete architectures in code, enabling review, testing, and deployment automation.
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Containers to package and deploy applications consistently across any environment. Eliminates the 'works on my machine' problem and enables portability between development, staging, and production.
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Unified observability platform with metrics, logs, and distributed tracing. Monitor the health of distributed systems, detect anomalies, and resolve incidents before they impact end users.
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Container orchestration for managing deployments, scaling, and operation of distributed applications. Ideal for microservice architectures requiring auto-scaling, self-healing, and zero-downtime deployments.
Learn more →Passionate about cloud architecture?
We're looking for architects and engineers with experience in distributed systems and AWS. If you enjoy designing solutions that scale and solve complex problems, we want to meet you.
What to Avoid
Distributed monolith
Splitting a monolith into microservices without truly decoupling the logic creates a distributed system with the worst of both worlds: the complexity of microservices with the coupling of a monolith. If all your services must be deployed together, you don't have microservices, you have a distributed monolith.
Lift-and-shift without optimizing
Moving on-premise servers to the cloud without redesigning the architecture results in higher costs without cloud benefits. Migration should include optimization: using managed services, auto-scaling, and serverless architectures where appropriate.
Ignoring costs
Not monitoring cloud spending until the bill arrives is a costly mistake. Without resource tagging, budget alerts, and periodic reviews, costs spiral quickly. 33% of global cloud spending is wasted on idle or oversized resources.
Ignoring cloud service limits
Designing without considering concurrency, throughput, and quota limits of cloud services creates unexpected bottlenecks in production. Every service has limits, know them before designing, not when the system is already in production.
How can we support you?
DECISION
DEFINES
THE FUTURE
OF YOUR SYSTEM