Cloud Modernization
Move from monolithic legacy stacks to event-driven, serverless systems on AWS and Azure — without losing operational control, cost discipline, or the institutional knowledge encoded in what you have today.
Architecture Decomposition
Cloud-nativeBefore
Monolith
Coupled
- · Shared database
- · One deploy unit
- · Vertical scale
After
Event-driven
- · Service boundaries
- · Independent deploys
- · Horizontal + auto-scale
Production exit
Cloud architecture your platform team can actually run.
Who It's For
- Companies running legacy on-premise systems
- Teams struggling with cloud costs
- Organizations needing better deployment velocity
- Enterprises with compliance requirements
Our Approach
Assessment
Audit your current infrastructure, identify migration candidates, assess dependencies, and design the target cloud-native architecture on AWS or Azure.
Foundation
Set up Infrastructure as Code, configure networking and security, establish CI/CD pipelines, and build the container orchestration platform.
Migration
Execute phased migration of workloads, implement monitoring and alerting, and validate performance and cost targets at each stage.
Optimization
Fine-tune cost optimization, implement auto-scaling, complete compliance validation, and train your team on cloud-native operations.
Common Questions
How do you minimize risk during migration?
We use a phased approach with parallel running of old and new systems. Each workload is migrated independently with rollback plans. We start with low-risk services to build confidence before tackling critical systems.
Can you help reduce our existing cloud costs?
Yes. Cloud cost optimization is a core part of every engagement. We typically identify meaningful savings through right-sizing, reserved capacity, architecture improvements, and eliminating waste. We set up dashboards so you maintain visibility.
Do you work with multi-cloud?
We work primarily with AWS and Azure. We recommend going deep on one cloud rather than spreading thin, but we have production experience with both platforms and can design architectures that minimize vendor lock-in using containers and Infrastructure as Code.