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Cloud, DevOps & MLOps

Your Cloud Bill Shouldn't Double Every Quarter

We build cloud-native infrastructure and DevOps practices that scale your AI systems while keeping costs in check. CI/CD pipelines, MLOps lifecycle management, and FinOps optimization.

What We Deliver

Five integrated capabilities across cloud infrastructure, DevOps, MLOps, and cost optimization.

01

Cloud Migration & Modernization

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Migrate legacy workloads to the cloud and modernize monoliths into cloud-native architectures. We handle lift-and-shift, re-platforming, and full re-architecture with zero-downtime strategies for mission-critical systems.

Tech Stack

AWSAzureGCPKubernetesServerless

Key Features

  • Zero-downtime migration strategies
  • Multi-cloud architecture design
  • Containerization & orchestration
02

DevOps & CI/CD

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Build automated, repeatable, and secure software delivery pipelines. From infrastructure-as-code to GitOps, we engineer DevOps practices that speed up your releases while maintaining quality and compliance.

Tech Stack

TerraformDockerGitHub ActionsArgoCDGitOps

Key Features

  • Infrastructure-as-Code automation
  • GitOps-based deployment workflows
  • Security scanning in CI pipelines
03

MLOps

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Operationalize your ML models with production-grade MLOps pipelines. We automate the full ML lifecycle: data versioning, experiment tracking, model training, deployment, monitoring, and retraining.

Tech Stack

MLflowKubeflowFeature StoresModel RegistryA/B Testing

Key Features

  • Automated model training & retraining
  • Model versioning & experiment tracking
  • Production model monitoring & drift detection
04

FinOps

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Take control of your cloud and AI spending. We implement FinOps practices like cost visibility, rightsizing, reserved instance optimization, and GPU cost management to reduce spend by 20-30%.

Tech Stack

Cost VisibilityRightsizingReserved InstancesGPU Optimization

Key Features

  • Real-time cost dashboards & alerts
  • Reserved instance & savings plan optimization
  • GPU workload cost management
05

SRE & Observability

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Build reliable, observable systems with SRE best practices. We implement SLOs, error budgets, distributed tracing, and proactive alerting so you catch issues before your users do.

Tech Stack

PrometheusGrafanaPagerDutyDatadogOpenTelemetry

Key Features

  • SLO/SLI definition & monitoring
  • Distributed tracing & log aggregation
  • Incident response automation

Impact We Deliver

20-30%

Cloud Cost Reduction

2x

Deployment Frequency

99.9%

System Uptime SLO

Before vs. After QuikSync

Real improvements our clients experience across infrastructure and operations.

MetricBeforeAfterImprovement
Cloud Spend$120K/mo$85K/mo29%
Deploy Time2 weeks30 min99%
Incident MTTR4 hours15 min94%