Cloud Infrastructure Strategy

Architecture, migration, and cost optimization

Architecture design, migration planning, security posture, and cost-aware infrastructure decisions for modern cloud environments.

✓ Multi-cloud and hybrid architecture design
✓ Migration sequencing and cutover planning
✓ Security boundaries and compliance posture
✓ Cost modeling and resource optimization
✓ IaC strategy (Terraform, Pulumi)

Distributed Systems Architecture

Resilience, availability, and scale

Availability patterns, resilience engineering, scalability tradeoffs, and performance optimization for systems operating under real-world constraints.

✓ High availability and disaster recovery patterns
✓ Consistency models and data synchronization
✓ Fault tolerance and failure mode analysis
✓ Performance tuning and capacity planning
✓ Event-driven architectures and async patterns

Database Modernization

Upgrades, migrations, and operational excellence

MySQL upgrades, replication planning, migration runbooks, and operational readiness for critical data systems.

✓ MySQL major version upgrades (5.7 → 8.x)
✓ Cloud SQL migration and optimization
✓ Replication topology and failover strategy
✓ Schema evolution and backwards compatibility
✓ Backup, recovery, and validation procedures

Kubernetes & Platform Engineering

Container orchestration and developer platforms

Platform design patterns, networking strategy, deployment safety, and operational best practices for Kubernetes and GKE.

✓ GKE cluster architecture and multi-tenancy
✓ Service mesh evaluation (Istio, Linkerd)
✓ Progressive delivery and safe rollouts
✓ Platform API design and developer experience
✓ Security policy and workload identity

Reliability & Observability

SRE practices and production excellence

SLO strategy, monitoring architecture, alert quality, incident response planning, and systematic reliability improvement.

✓ SLI/SLO definition and error budgets
✓ Observability strategy (metrics, logs, traces)
✓ Alert design and on-call sustainability
✓ Incident management and post-mortem culture
✓ Chaos engineering and resilience testing

AI-Native Infrastructure

Reliable systems for AI-adjacent workloads

Guardrails, boundaries, and reliability controls for systems interacting with AI services and LLM-powered features.

✓ API gateway and rate limiting strategy
✓ Cost controls and quota management
✓ Fallback patterns and graceful degradation
✓ Content filtering and safety boundaries
✓ Observability for non-deterministic systems

Let's discuss your infrastructure needs

Whether you're planning a major migration, evaluating distributed systems strategy, or improving production reliability—we can help.