AWS development services: The Vention way

Vention helps teams make informed architectural and platform decisions on AWS, striking a balance between performance, scalability, security, and cost.

• Analysis of the existing architecture and service usage patterns
• Recommendations for infrastructure upgrades
• Target-state architecture design aligned with the AWS Well-Architected Framework
• Comparison of the current total cost of ownership with AWS pricing models
• AWS service and tooling selection based on workload characteristics and business needs
• AWS DevOps consulting, including CI/CD and infrastructure-as-code strategy design

Vention designs and builds cloud-native and serverless applications that fully leverage the advantages of AWS.

• AWS-focused solution architecture and service selection 
• Implementation roadmap
• End-to-end delivery of a cloud-native or serverless app, including requirements specification and UI/UX 
• Testing and validation are integral to the software development lifecycle
• App support and evolution

Vention plans and executes low-risk migrations from on-premises or other clouds to AWS.

• Pre-migration assessment covering readiness, risks, and dependencies
• Migration strategy and roadmap, outlining approach, timeline, and required resources
• Incremental migration execution (including data transfer) 
• Post-migration validation report
• User training materials 

Vention helps organizations improve the performance, reliability, and cost efficiency of existing AWS environments.

• Infrastructure assessment against the AWS Well-Architected Framework
• Performance, scalability, and resilience improvement plan
• Follow-up assessments to validate applied changes

Vention integrates security into AWS environments through architecture, automation, and controls.

• Security assessment report outlining vulnerabilities and their criticality
• Security best practices guide
• Penetration testing report where required
• DevSecOps strategy covering CI/CD, identity access management, secrets management, and monitoring

Vention designs AWS environments that align with regulatory and compliance requirements.

• Compliance assessment report against relevant standards (HIPAA, GDPR, PCI DSS, SOC 2, ISO 27001).
• Step-by-step guidance to setting cloud infrastructure in line with the applicable requirements 

• Compliance
• Patient data protection
• Operational stability

• Modernization of legacy clinical platforms
• Secure data pipelines for analytics and AI-assisted insights
• Interoperability platforms for clinical data exchange
• Telehealth systems
• Real-time monitoring and alerting for clinical operations
• Medical imaging storage and processing platforms

• Fast delivery pace and short time to market
• Operational discipline
• Compliance

• Event-driven transaction platforms
• Risk analysis and decisioning platforms
• Fraud detection and prevention systems
• Reporting and analytics
• Real-time payment processing systems
• Customer onboarding and identity verification platforms
• Financial data aggregation and reconciliation systems

Real-time ingesting, processing, and analyzing data at scale

• Manufacturing processes enhancement
• IoT telemetry
• Predictive maintenance
• Connected vehicle data platforms
• Quality monitoring and defect analysis systems
• Fleet performance and usage analytics

• Personalized learning experiences at scale
• Data privacy

• Learning management platforms
• Data pipelines for student engagement and performance analytics
• Support for remote or hybrid learning models
• Personalized learning and content recommendation systems
• Assessment, testing, and grading platforms
• Academic reporting and institutional analytics systems

• Customer experience and conversion
• Peak traffic resilience and scalability

• High-traffic digital storefronts
• AI-driven personalization
• Resilient commerce backends
• Data platforms for customer behavior analysis
• Real-time inventory and pricing workflows

Early AWS architectures are often designed around immediate priorities, such as getting a product to market quickly. Those decisions may work well at the time, but assumptions can change as data volumes grow, user numbers increase, and new integrations are introduced.

Vention incorporates growth assumptions into architecture decisions through:

• Workload modeling based on current transaction volumes
• Projected increases in users and integrations
• Analysis of key architecture parameters: cost, performance, and scalability under different load conditions.

Many teams start focusing on cost optimization only when they scale. But costs are less about pricing plans and more about architectural and other strategic decisions, so they should be handled early. 

• Use separate AWS accounts for production, staging, and testing to reflect their different cost and usage patterns.
• Define and implement AWS budget and spend management tools.
• Define the scaling strategy in advance.

Teams sometimes adopt solutions that assume a level of operational maturity they have not yet developed (e.g., sufficient automation and good observability). Due to this discrepancy, they end up with a fragile system and difficulty in achieving the system’s performance targets.

• Assess the current approach to deploying, running, and monitoring systems.
• Align architectural complexity with existing DevOps and CloudOps capabilities.
• Implement automation gradually.
• Choose AWS services and operational patterns that reduce manual intervention where maturity is still developing.

Workloads are moved to AWS, but teams continue to run them as if they were still on-premises (e.g., the system is configured for peak demand, and if traffic drops, nothing is scaled down). 

• Design workloads that scale based on actual usage.
• Isolate components with predictable usage from the ones with steady demand.
• Translate the new operating model to the teams: document scaling assumptions, define ownership and responsibilities, and help understand how to operate and troubleshoot elastic systems.

Differences in data volume and structure, as well as existing dependencies can cause delays, performance issues, or extended downtime.

• Map data dependencies
• Model data growth
• Choose a staged migration strategy to cause less disruption Plan the validation strategy.