Cloud-Native Infrastructure

Building scalable, resilient, and secure server environments

Kubernetes AWS Azure GCP

Infrastructure Platform Overview

Designed and deployed a highly available, scalable, and secure microservices architecture on a multi-cloud platform to handle global traffic spikes and ensure zero downtime.

Core Objectives

Migrating from a monolithic application to a containerized microservices architecture to improve performance, enhance resilience, and enable rapid feature deployment.

Scalability: Elastic scaling to handle 100x traffic surges
Reliability: Achieve >99.99% uptime with multi-region failover
Security: Automated security scanning and threat detection
Automation: Full CI/CD pipeline for rapid deployments
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Cloud Architecture Diagram

Infrastructure Metrics

99.99%
Uptime
Across all regions and services
5s
Deployment Time
Average for new features
40%
Cost Reduction
By optimizing resources
0
Downtime Incidents
In the last 12 months

Technology Stack

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Cloud & Compute

Container orchestration, managed services, and compute resources for microservices.

Kubernetes - Container orchestration
Docker - Containerization
AWS EKS/Fargate - Managed clusters
Azure AKS - Managed clusters
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Observability & Security

Full-stack monitoring, logging, and security to ensure system health and integrity.

Prometheus - Monitoring and alerting
Grafana - Data visualization
Splunk - Centralized logging
Cloudflare - DDoS protection, CDN
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Automation & DevOps

Automated pipelines for infrastructure as code, continuous integration, and deployment.

Terraform - Infrastructure as Code
Jenkins - CI/CD pipeline
GitLab CI/CD - Source control and build
Ansible - Configuration management

Development Phases

P1

Cloud Migration Strategy

Conducted a comprehensive assessment and defined a phased migration plan to a multi-cloud environment.

Discovery Planning Assessment
P2

Containerization & Microservices

Re-architected monolithic apps into containerized microservices for better agility and scalability.

Docker Kubernetes GoLang
P3

CI/CD & Automation

Implemented a fully automated CI/CD pipeline, enabling faster, more reliable deployments and rollbacks.

Terraform Jenkins GitLab CI
P4

Observability & Ongoing Ops

Integrated monitoring, logging, and security tools to provide real-time insights and proactive management.

Prometheus Grafana Splunk

Platform Outcomes

Successfully transformed the client's infrastructure into a modern, scalable, and cost-effective system that can handle future growth and market demands with ease.

// Solution Highlights
Zero downtime, 99.99% uptime
40% cost reduction through optimization
Automated CI/CD for rapid deployments
Enhanced security posture and resilience
Seamless scalability for traffic spikes
Fully auditable and compliant infrastructure
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