AWS, Azure, GCP, Kubernetes, Terraform, Kafka, and modern data stacks — we engineer cloud infrastructure and data platforms that are secure, cost-efficient, and built to handle the workloads your business actually runs.
Cloud is not a destination — it's an operating model. We design and build cloud infrastructure that gives you the agility to deploy daily, the observability to diagnose problems in minutes, and the cost governance to ensure you're only paying for what you actually need.
From AWS and Azure landing zones to Kafka-powered event streaming and Snowflake data warehouses, we engineer the data and cloud backbone that modern data-driven businesses run on.
AWS, Azure, and GCP certified engineers who build cloud infrastructure that your finance director is happy with, not just your CTO.
Cloud platforms, container orchestration, data engineering, and observability tools — the full modern infrastructure stack.
EC2, ECS, EKS, Lambda, RDS, Aurora, S3, CloudFront, SQS, SNS, and the full AWS service catalogue — managed with Terraform and deployed via CI/CD pipelines.
Azure App Service, AKS, Azure SQL, Cosmos DB, Service Bus, Azure DevOps, and Active Directory — deep integration with Microsoft enterprise ecosystem.
GKE, Cloud Run, BigQuery, Cloud Spanner, Pub/Sub, and Vertex AI — especially strong for data analytics and ML workloads where BigQuery delivers unmatched value.
Container orchestration with EKS, AKS, or GKE — Helm charts, GitOps with ArgoCD, Horizontal Pod Autoscaler, and service mesh with Istio for complex microservices.
Apache Kafka, AWS Kinesis, dbt, Apache Spark, Airflow, and modern data lake architectures — from real-time streaming to batch ETL and analytical data warehouses.
Terraform, Ansible, Pulumi, and AWS CloudFormation — fully version-controlled, reproducible infrastructure with drift detection and automated compliance checks.
Well-Architected Framework principles applied consistently — across security, reliability, performance, cost, and operational excellence.
Multi-account structure, network topology (VPC, subnets, peering), IAM governance framework, logging baseline, and security controls deployed as code before any workload moves.
CSPM tools, IAM least-privilege enforcement, encryption at rest and in transit, GuardDuty / Defender for Cloud, and compliance mapping (CIS, SOC 2, ISO 27001).
CloudWatch, Prometheus, Grafana, ELK Stack, and Datadog — full-stack observability with SLO dashboards, anomaly detection, and on-call alert routing.
Resource tagging, cost allocation, Savings Plans, Spot instance strategies, and automated waste detection — typically reducing cloud spend by 25–40% within 90 days.
Data lake (S3 / ADLS), warehouse (Snowflake / BigQuery / Redshift), semantic layer, and data quality framework — giving your analysts and data scientists reliable, governed data.
RPO and RTO-defined DR architectures, cross-region replication, chaos engineering, Game Day exercises, and runbook automation — tested, not just documented.
A free cloud architecture review or migration assessment — we'll identify the gaps, the savings opportunities, and the fastest path to a well-architected environment.