Cloud projects with measurable results

A selection of infrastructure, platform and automation work across AWS, Azure and Kubernetes.

Cloud Infrastructure

Multi-Cloud Infrastructure Automation

Lead Cloud Engineer 6 months 4 engineers

Designed and delivered an infrastructure-as-code platform spanning AWS and Azure, with CI/CD for infrastructure changes and consistent, reproducible environments from development to production.

Automated provisioning of compute, networking, security groups and monitoring; blue-green deployments with automated rollback; and continuous compliance monitoring with Azure Policy.

TerraformAWSAzurePythonCI/CDDockerKubernetes

Results

75%faster deployments

99.9%infrastructure uptime

100%security policy compliance

50%less operational overhead

Key challenges solved

Multi-cloud resource synchronization
Network connectivity across providers
Compliance across different platforms

Container Orchestration

Containerized Microservices Platform

DevOps Lead 4 months 3 engineers

Built a production-ready Kubernetes platform for microservices with auto-scaling, load balancing and a service mesh for high-availability applications.

Istio for traffic management, security and observability; automated CI/CD with GitOps; Prometheus and Grafana monitoring; and automated backup and disaster recovery.

KubernetesDockerIstioHelmGitOpsPrometheusGrafana

Results

2×application scalability

60%lower resource use

0downtime during deployments

↑developer productivity

Key challenges solved

Service discovery and communication
Data persistence in containers
Security between microservices

Monitoring & Automation

Event-Driven Monitoring & Alerting

Systems Engineer 3 months 2 engineers

Developed an event-driven monitoring system that gives real-time visibility into infrastructure health, with predictive alerting and automated incident response.

Python collectors, anomaly detection to cut alert noise, and automated remediation for common issues, unified across AWS and Azure in a hybrid environment.

PythonAWS LambdaAzure FunctionsElasticsearchKibana

Results

90%fewer false-positive alerts

65%faster time to resolution

24/7proactive detection

1unified view across clouds

Key challenges solved

Real-time processing at scale
Reducing false-positive alerts
Cross-platform integration

DevOps

CI/CD Pipeline Automation

Implemented end-to-end CI/CD pipelines with automated testing, security scanning and deployment strategies that removed manual steps from the release process.

Standardized build and release pipelines with GitLab CI and Jenkins, containerized builds with Docker, and security scanning built into every pipeline run.

GitLab CIJenkinsDockerSecurity scanning

Results

80%faster deployments

100%automated releases

0manual deployment errors

✓security scanning built in

Key challenges solved

Inconsistent manual release steps
Security checks late in the cycle
Slow feedback for developers

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