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Cloud & DevOps

Modern cloud infrastructure and DevOps practices for scalable, reliable, and efficient application deployment and management

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AWS (Amazon Web Services)

Comprehensive cloud platform offering 200+ services for computing, storage, databases, AI/ML, and more with global reach.

Common Use Cases

Scalable web applications
Data lakes and analytics
Machine learning pipelines
Serverless applications

Key Features

Global infrastructure
200+ services
Pay-as-you-go pricing
High availability
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Microsoft Azure

Enterprise-grade cloud platform with strong hybrid cloud capabilities and deep Microsoft ecosystem integration.

Common Use Cases

Enterprise applications
Hybrid cloud solutions
.NET application hosting
AI and data analytics

Key Features

Hybrid capabilities
Microsoft integration
Azure AD
Global presence
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Docker

Platform for developing, shipping, and running applications in lightweight, portable containers.

Common Use Cases

Application containerization
Microservices deployment
Development environments
CI/CD pipelines

Key Features

Lightweight containers
Rapid deployment
Version control
Resource efficiency
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Kubernetes

Open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.

Common Use Cases

Container orchestration
Auto-scaling applications
Service discovery
Rolling updates

Key Features

Auto-scaling
Self-healing
Load balancing
Declarative configuration
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Terraform

Infrastructure as Code tool for building, changing, and versioning infrastructure safely and efficiently.

Common Use Cases

Multi-cloud infrastructure
Infrastructure automation
Disaster recovery
Environment replication

Key Features

Multi-cloud support
State management
Plan and apply workflow
Provider ecosystem
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CI/CD Pipelines

Automated software delivery processes from code commit to production deployment with testing and validation.

Common Use Cases

Automated testing
Continuous deployment
Release management
Quality assurance

Key Features

Automated testing
Fast feedback
Reduced errors
Frequent releases
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GitHub Actions

Automation platform integrated with GitHub for building, testing, and deploying code directly from repositories.

Common Use Cases

CI/CD workflows
Automated testing
Release automation
Code quality checks

Key Features

GitHub integration
Matrix builds
Reusable workflows
Marketplace actions
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Vercel

Platform for frontend frameworks and static sites with automatic deployments, previews, and global CDN.

Common Use Cases

Next.js applications
Static site hosting
Jamstack deployments
Preview deployments

Key Features

Zero-config deployments
Global CDN
Preview URLs
Edge functions

Our Cloud Services

Cloud Architecture Design

Design scalable, resilient, and cost-effective cloud architectures tailored to your business needs.

Multi-cloud strategies
High availability design
Disaster recovery planning
Cost optimization

Migration Services

Seamless migration of applications and data to the cloud with minimal downtime and risk.

Assessment and planning
Data migration strategies
Application refactoring
Post-migration optimization

DevOps Implementation

Establish DevOps practices and CI/CD pipelines for faster, more reliable software delivery.

CI/CD pipeline setup
Infrastructure as Code
Monitoring and logging
Security automation

Managed Services

24/7 monitoring, maintenance, and optimization of your cloud infrastructure.

24/7 monitoring
Incident response
Performance optimization
Security patching

Real-World Projects

CryptoKara Multi-Chain Infrastructure

AWS (EC2, RDS, S3) + Docker + MongoDB

Deployed decentralized wallet infrastructure supporting 500K+ downloads across 5+ blockchains with non-custodial architecture and built-in DEX services.

500K+ downloads5+ blockchainsNon-custodial

PsychPlus Telehealth on Azure

Azure (App Service, MySQL, ACS) + .NET + Next.js

HIPAA-compliant telehealth platform with Azure Communication Services for video calling, reducing no-shows by 35% and documentation time by 50%.

35% no-shows reducedHIPAA compliant50% time saved

AIIN Cloud-Based Forecasting

AWS (EC2, RDS, S3) + Python + MongoDB

AI-powered inventory forecasting platform with ML models on AWS, reducing stockouts by 40% and achieving 85% forecast accuracy with ERP integration.

40% stockouts reduced25% cost savings85% accuracy

Our Best Practices

Infrastructure as Code

Version control for infrastructure
Automated provisioning
Environment consistency
Documentation as code
Peer review process

Security

Least privilege access (IAM)
Network segmentation
Encryption at rest and in transit
Security scanning in CI/CD
Compliance automation

Monitoring & Observability

Centralized logging (ELK, CloudWatch)
Distributed tracing
Application performance monitoring
Infrastructure metrics
Alerting and incident management

Cost Optimization

Right-sizing resources
Reserved instances and savings plans
Auto-scaling policies
Spot instances for non-critical workloads
Regular cost audits

Ready to Move to the Cloud?

Let's build scalable, reliable cloud infrastructure with modern DevOps practices for your applications