Cloud SystemsConnected

Azure- and AWS-focused platform engineering across architecture, networking, security, application hosting, managed services, and cloud migration. KEETCON designs cloud environments across IaaS and PaaS, identity, compute, storage, and databases, with hands-on experience migrating on-premises systems to Azure and AWS, from lift-and-shift to refactoring. Security design applies least privilege, managed identities, private networking, private endpoints, and restricted public exposure, with controls that can support ISO 27001-aligned requirements. Delivery through Infrastructure as Code keeps foundations repeatable and reviewable.

Infrastructure as Code and automated delivery for data and application environments. KEETCON builds repeatable infrastructure around networking, storage, databases, access controls, integration services, and application dependencies. Experience across ETL-focused environments includes Azure Data Factory, Databricks, and the infrastructure surrounding data pipelines. Version-controlled configuration, automated validation, and CI/CD provide predictable promotion across development, test, and production.

Governed Databricks environments designed around Unity Catalog, repeatable deployment, and clear platform ownership. KEETCON's expertise covers metastore and workspace architecture, catalogs, schemas, volumes, external locations, identities, permissions, data lineage, jobs, and pipelines. Reusable code and CI/CD keep platform changes versioned, reviewable, and consistent across environments while supporting analytics, data engineering, and AI workloads.

Container and application platforms engineered from infrastructure through deployment and traffic management. KEETCON combines Docker, Kubernetes, Helm, Infrastructure as Code, workload identity, networking, security controls, routing, autoscaling, and automated delivery. The same approach supports managed application services and provides a controlled execution layer for AI services and agent-based workloads.

Operational visibility across cloud infrastructure, Kubernetes, applications, databases, data pipelines, and AI services. KEETCON brings metrics, logs, traces, dashboards, service-level objectives, and alerting together for faster troubleshooting, clearer capacity decisions, and better incident response. For AI workloads, observability extends to service latency, errors, token usage, model-facing dependencies, and agentic workflows.