Enterprise
High-availability system architectures, secure platform engineering pipelines, and multi-tenant database designs to modernize complex, legacy enterprise software ecosystems.
Overview
A deeper summary of the product, system, or engagement.
Recommended delivery path
We support large-scale platform engineering, cloud-native modernization, and database performance optimization for complex enterprise organizations. We transition legacy monolithic infrastructures to modular microservices using AWS, Kubernetes, and Infrastructure-as-Code.
Infrastructure & Integration Strategy
- AWS/Kubernetes Modernization: Streamline deployment schedules, auto-scaling structures, and resource density.
- Database Audits: Scan and optimize queries, index columns, and cluster structures to resolve throughput bottlenecks.
- Monolith Transition: Incrementally migrate services to modular systems behind safe API gateways.
- Legacy system dependencies and siloed development structures that slow down developer velocity
- Operational risks surrounding system migrations and data transitions for active platforms
- Throughput bottlenecks during peak traffic and scale events on core databases
Capabilities and focus areas
The detail pages now surface the delivery depth, not just the headline summary.
- Kubernetes and AWS platform templates utilizing Terraform
- In-depth database profiling metrics and execution logs
- Incremental microservice migration patterns (Strangler Fig)
- High-availability cloud engineering and load balancing
- Infrastructure-as-Code settings configuration
- Monolith modernization design patterns
Outcomes and impact
A more complete record of what the work enabled or improved.
- Transitioned core database engines without scheduling downtime or data loss
- Optimized query setups to reduce index wait times by 70%
- Increased deployment frequencies from monthly releases to multiple daily builds
Related paths
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