AWS infrastructure architected, modernized and operated for serious scale.
Fastcurve is an AWS cloud engineering and modernization partner for businesses building scalable cloud infrastructure, migrating legacy systems, optimizing cloud costs and improving operational resilience — engineered with strong governance, observability and security.
What AWS cloud engineering solves for product and operations leaders
Where Fastcurve's cloud work creates tangible business and technical impact — turning AWS from a cost line into a leverage point for scale, reliability and speed.
Infrastructure bottlenecks
Re-architect compute, data and networking layers so capacity stops being the constraint on product growth.
Scaling limitations
Engineer for elastic, multi-region, multi-tenant scale — without forklift rewrites later.
Operational downtime
Improve reliability with proven HA patterns, health checks, autoscaling and graceful degradation.
Poor observability
Instrument logs, metrics, traces and SLOs so incidents are diagnosed in minutes, not hours.
Inefficient resource allocation
Right-size compute, storage and data layers based on real workloads instead of legacy assumptions.
Cloud cost overruns
Cut AWS spend through architecture, autoscaling, RIs/Savings Plans and data-layer tuning.
Security gaps
Harden IAM, networking, secrets, data and runtime with AWS Well-Architected security controls.
Where cloud systems are heading over the next 3–5 years
How serious cloud-native businesses will architect, operate and govern AWS — and what Fastcurve is engineering for today.
Serverless adoption
Lambda, Fargate, EventBridge and step functions replacing always-on compute for workflow and event-driven loads.
Infrastructure as code
Terraform and CDK becoming the only acceptable interface to production infrastructure.
Multi-region resilience
Active-active and pilot-light strategies becoming default for revenue-critical workloads.
Cloud-native security
Zero-trust networking, fine-grained IAM and continuous security posture management.
Cost intelligence
FinOps practices, tagging, anomaly detection and architecture-level cost ownership becoming standard.
Event-driven systems
Event buses, streams and async patterns replacing tightly coupled request-response stacks.
AI-enabled cloud operations
AI-assisted incident triage, anomaly detection and capacity planning embedded into operations.
Platform engineering
Internal platforms standardizing deployment, observability and security across product teams.
The operating reality cloud teams face today
Patterns Fastcurve sees most often when engineering leaders bring us in for cloud modernization — and what actually needs to change first.
Poor infrastructure design
Lift-and-shift architectures that map old VMs onto AWS without using cloud-native primitives.
High AWS costs
Unbounded spend driven by over-provisioned compute, idle resources and untuned data layers.
Weak security posture
Over-permissive IAM, flat networks and missing controls creating real risk at scale.
Manual deployments
Releases dependent on individual operators, with no IaC, pipelines or rollback discipline.
Limited observability
Logs scattered across services with no metrics, traces or SLOs — incidents diagnosed by guesswork.
Downtime risks
Single-AZ deployments, missing health checks and brittle dependencies creating recurring outages.
Slow scaling
Static infrastructure unable to absorb traffic spikes without manual intervention.
Lack of DR planning
No tested backup, restore or failover strategy for revenue-critical workloads.
Misconfigured cloud services
Default configurations and one-off changes drifting into a fragile, undocumented estate.
Core AWS capabilities Fastcurve brings
The engineering scope Fastcurve owns across AWS — composable into the cloud operating model your platform actually needs.
AWS architecture design
Well-Architected reference designs across compute, data, networking, security and reliability.
Cloud migration
Assessment, planning and execution of migrations from on-prem and other clouds to AWS.
Infrastructure modernization
Replacing legacy VM-heavy estates with containers, serverless and managed services where they fit.
Cost optimization
Architecture, autoscaling, commitment plans and data-layer tuning to reduce AWS spend sustainably.
DevOps setup
Foundational DevOps — environments, IaC, secrets, identity and shared platform services.
CI/CD pipelines
Trunk-based delivery, automated testing and progressive rollouts engineered into every service.
Observability
Logs, metrics, traces, dashboards and SLOs built on CloudWatch, OpenTelemetry and Grafana.
Monitoring
Synthetic checks, alerting, incident routing and on-call discipline engineered as part of the platform.
Security hardening
IAM, networking, secrets, KMS, GuardDuty, Security Hub and OWASP-aligned controls.
Disaster recovery
Backup, restore and failover strategies aligned to clearly defined RPO/RTO targets.
Serverless systems
Lambda, Fargate, EventBridge, SQS and Step Functions engineered for event-driven workloads.
Cloud automation
IaC-first automation across provisioning, configuration, scaling and remediation workflows.
How Fastcurve delivers AWS cloud engineering
Fastcurve operates as an AWS consulting and engineering partner across cloud-heavy product ecosystems — combining architecture, DevOps and FinOps with hands-on engineering ownership.
Cloud assessment
Structured review of current AWS estate — architecture, cost, security, reliability and operational maturity.
Architecture planning
Target-state architecture across compute, data, networking and security, documented and owned by senior architects.
Migration strategy
Pragmatic 6R-based migration plans — rehost, replatform, refactor — sequenced for low business risk.
Infrastructure setup
Foundational AWS landing zone, accounts, networking, identity and shared platform services as IaC.
DevOps pipelines
CI/CD pipelines, IaC modules and release automation engineered alongside the platform.
Monitoring implementation
Observability stack with logs, metrics, traces, dashboards and SLO-driven alerting.
Security configuration
IAM, networking, secrets, encryption and continuous posture management baked in from day one.
Cost optimization
Architecture-level cost ownership, rightsizing, commitment planning and FinOps reviews.
Release governance
Change management, environment strategy and progressive rollouts that scale across teams.
Ongoing cloud operations
Long-lived cloud pods supporting reliability, scale, cost and modernization over time.
Proven AWS cloud work
Representative AWS cloud engagements across SaaS, GRC, marketplace and cloud contact center platforms.
BarRaiser — AWS region segregation and infrastructure modernization
AWS region segregation, infrastructure modernization, cost optimization and core framework upgrades for an AI hiring intelligence platform.
TruOps — cloud architecture, DevOps maturity and 30% AWS cost reduction
Improved cloud architecture, DevOps maturity and security posture for an enterprise GRC platform — delivering a 30% reduction in AWS spend.
Boxxport — cloud application architecture for marketplace scale
Cloud application architecture engineered to support multi-sided marketplace workloads, vendor workflows and global operational scale.
Soflo — AWS Connect implementation for cloud call center operations
Cloud-native contact center built on AWS Connect — IVR, routing, agent workflows and integrations engineered for operational reliability.
AWS Cloud capability matrix
The disciplines, services and operating practices Fastcurve ships across AWS engagements — composable for your cloud operating model.
Cloud Architecture
- Well-Architected reference designs
- Compute, data and networking
- Multi-region patterns
Migration Planning
- 6R-based migration strategy
- Workload assessment and sequencing
- Low-risk cutover plans
AWS Cost Optimization
- Rightsizing and autoscaling
- RIs and Savings Plans
- FinOps reviews
Security Hardening
- IAM and SCP design
- KMS, secrets and encryption
- GuardDuty, Security Hub, WAF
Monitoring & Observability
- CloudWatch and OpenTelemetry
- Logs, metrics and traces
- Dashboards and SLOs
Disaster Recovery
- RPO/RTO definition
- Backup and restore
- Failover and runbooks
CI/CD Pipelines
- Trunk-based delivery
- Automated testing and gates
- Progressive rollouts
Infrastructure as Code
- Terraform and CDK modules
- Landing zone and accounts
- Drift detection
Serverless Systems
- Lambda and Fargate
- EventBridge and Step Functions
- SQS, SNS and Kinesis
Cloud Scaling
- Elastic compute and data
- Caching and CDN strategy
- Capacity planning
Release Engineering
- Environment strategy
- Feature flags and canaries
- Rollback discipline
Operational Support
- On-call and incident response
- Continuous cost and reliability reviews
- Long-lived cloud pods
Planning your AWS migration, cloud modernization or infrastructure optimization? Talk to Fastcurve.
A working session with senior cloud architects — AWS architecture review, modernization roadmap, or FinOps and reliability deep-dive.