Build Scalable, Reliable Cloud Infrastructure
Modern cloud architecture, automated deployments, and infrastructure as code. We help teams move to the cloud, automate manual processes, and build systems that scale reliably.
Why cloud and DevOps matter
Cloud infrastructure and DevOps practices aren't just about moving servers to AWS or setting up CI/CD pipelines. They're about **speed, reliability, and cost efficiency**. Teams that embrace cloud-native architectures and automated deployment pipelines ship features faster, recover from failures quicker, and scale without manual intervention.
At Devionary, we've helped companies migrate from on-premise data centers to AWS and GCP, refactor monoliths into containerized microservices, and transform manual deployment processes into fully automated CI/CD pipelines. We understand the trade-offs between different cloud services, when to use managed services vs. self-hosted solutions, and how to balance cost with performance.
Our approach to cloud and DevOps focuses on: **infrastructure as code** (Terraform, CloudFormation), **container orchestration** (Kubernetes, ECS), **automated testing and deployment** (GitHub Actions, GitLab CI, Jenkins), and **observability** (logging, metrics, tracing). We don't just set things up—we document, train your team, and ensure you can maintain the infrastructure long-term.
Cloud & DevOps services we offer
Cloud Architecture & Migration
Design cloud-native architectures on AWS or GCP. Migrate existing applications to the cloud with minimal downtime. Right-size resources for cost optimization.
CI/CD Pipeline Implementation
Automate build, test, and deployment workflows. GitHub Actions, GitLab CI, Jenkins, or CircleCI. Reduce deployment time from hours to minutes.
Infrastructure as Code (IaC)
Version-controlled infrastructure with Terraform, CloudFormation, or Pulumi. Reproducible environments, easy rollbacks, and audit trails.
Container Orchestration
Deploy and manage containerized applications with Kubernetes, ECS, or Docker Swarm. Auto-scaling, self-healing, and efficient resource utilization.
Monitoring & Observability
Set up logging (ELK, CloudWatch), metrics (Prometheus, Datadog), and tracing (Jaeger). Dashboards, alerts, and incident response playbooks.
Security & Compliance
Implement security best practices: IAM policies, secrets management, network segmentation, encryption at rest and in transit. SOC2, HIPAA, GDPR compliance support.
Cloud & DevOps tech stack
Cloud Providers
- • AWS (EC2, S3, RDS, Lambda)
- • Google Cloud Platform
- • Azure (when required)
- • DigitalOcean, Linode
Infrastructure as Code
- • Terraform (multi-cloud)
- • AWS CloudFormation
- • Ansible for configuration
- • Pulumi (TypeScript IaC)
Containers & Orchestration
- • Docker & Docker Compose
- • Kubernetes (EKS, GKE)
- • AWS ECS / Fargate
- • Helm charts
CI/CD Tools
- • GitHub Actions
- • GitLab CI/CD
- • Jenkins
- • CircleCI, Travis CI
Monitoring & Logging
- • Prometheus + Grafana
- • ELK Stack (Elasticsearch)
- • CloudWatch, Stackdriver
- • Datadog, New Relic
Security & Secrets
- • AWS IAM, Secrets Manager
- • HashiCorp Vault
- • SOPS for encrypted configs
- • Security scanning (Snyk, Trivy)
Example cloud & DevOps engagements
Migrating SaaS Platform from Heroku to AWS
Moved a growing SaaS application from Heroku to AWS to reduce costs and gain more control. Implemented ECS for container orchestration, RDS Multi-AZ for database, S3 for file storage, and CloudFront for CDN. Cut infrastructure costs by 40% while improving reliability.
Implementing CI/CD for Mobile + Backend
Set up automated pipelines for Node.js backend and React Native mobile app. Every commit triggers tests, security scans, and deployment to staging. Production releases happen via GitHub tags with automated rollback on failure. Reduced deployment time from 2 hours to 15 minutes.
Kubernetes Migration for Microservices
Migrated 12 microservices from individual EC2 instances to Kubernetes on EKS. Implemented auto-scaling, service mesh with Istio, centralized logging, and Prometheus monitoring. Improved resource utilization by 60% and achieved 99.95% uptime.
When to invest in cloud & DevOps
Deployment is painful
If deployments require manual steps, coordination across teams, or frequently fail, it's time to automate. CI/CD pipelines eliminate human error and make deployments boring (in a good way).
Infrastructure is fragile
Manually configured servers, "snowflake" instances that can't be reproduced, or lack of backups and disaster recovery plans signal the need for infrastructure as code and proper cloud architecture.
Scaling is manual
If you need to manually add servers during traffic spikes or constantly monitor resource usage, auto-scaling and container orchestration will save time and money.
Costs are unpredictable
Cloud bills that surprise you every month mean you're not optimizing resources. Right-sizing instances, using spot instances, and implementing auto-scaling can cut cloud costs significantly.
Ready to modernize your infrastructure?
Whether you're migrating to the cloud, setting up CI/CD, or optimizing existing infrastructure, let's discuss your goals and constraints.