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Cloud DevOps & Security
AWS DevOps & CI/CD Automation
AWS DevOps engineering and CI/CD pipeline automation. Accelerate deployments, improve reliability, and enable your team to ship faster with confidence.
Get Started150+
Pipelines Automated
99.9%
Security Compliance
60%
Faster Deployments
SOC2
Compliance Ready
Service Category
AWS DevOps Engineering
Ideal For
Engineering teams wanting faster, more reliable deployments with automated CI/CD pipelines on AWS.
Timeline
3 – 8 weeks
Why Choose MicrocosmWorks for AWS DevOps?
DevOps on AWS is more than just setting up CodePipeline. We build complete delivery platforms that enable your team to deploy multiple times per day with confidence — including automated testing, security scanning, infrastructure provisioning, and rollback capabilities that catch issues before they reach production.
Our AWS DevOps Capabilities
- CI/CD Pipeline Design — Build multi-stage pipelines with CodePipeline, CodeBuild, and CodeDeploy supporting blue-green and canary deployment strategies.
- Infrastructure as Code — Implement Terraform or CDK with modular patterns, state management, drift detection, and automated plan/apply workflows.
- Container Orchestration — Set up ECS or EKS clusters with automated deployments, service mesh, and progressive rollout strategies.
- GitOps Workflows — Implement ArgoCD or Flux-based GitOps for declarative infrastructure and application management on EKS.
- Security Integration (DevSecOps) — Embed security scanning, secret management, and compliance checks into every stage of the delivery pipeline.
- Developer Experience — Build self-service platforms with internal portals, environment provisioning, and standardized project templates.
AWS-Specific Technology Stack
We combine AWS-native tools (CodePipeline, CodeBuild, ECR) with best-of-breed open source (Terraform, ArgoCD, GitHub Actions) to build delivery platforms that match your team's workflow. Every pipeline includes security scanning, automated testing, and observability from commit to production.
Who This Is For
Engineering teams that want to deploy faster and more reliably. Whether you're moving from manual deployments to CI/CD or scaling an existing pipeline to support 50+ microservices, we build the automation that accelerates your delivery.
Our Process
1
Pipeline Assessment
Audit current deployment processes, identify bottlenecks, and define target delivery metrics (DORA).
2
Pipeline Architecture
Design CI/CD architecture, branching strategy, environment promotion, and rollback procedures.
3
Implementation
Build pipelines, configure environments, implement IaC, and integrate security scanning.
4
Testing & Validation
Validate pipelines with real deployments, test rollback procedures, and verify security gates.
5
Team Enablement
Train developers on new workflows, document procedures, and establish DevOps culture practices.
Technology Stack
CI/CD
CodePipelineCodeBuildCodeDeployGitHub Actions
Containers
ECSEKSECRFargateDocker
IaC & GitOps
TerraformCDKArgoCDFlux
Security
Secrets ManagerInspectorSnykTrivy
Industries We Serve
SaaSFinTechE-CommerceEnterpriseStartupMedia
Ready to Automate Your Deployments?
Let's build CI/CD pipelines that enable your team to ship multiple times per day with confidence.
Frequently Asked Questions
MicrocosmWorks implements CI/CD using CodePipeline, CodeBuild, CodeDeploy, and ECR for AWS-native stacks, or integrates GitHub Actions, GitLab CI, and Jenkins with AWS deployment targets depending on your team's existing workflow preferences.
AWS DevOps and CI/CD automation services are available at $20-$45/hour, with typical engagements ranging from pipeline setup in 1-2 weeks to full infrastructure-as-code migration over 4-8 weeks.
Yes, MicrocosmWorks implements IaC using Terraform, AWS CDK, or CloudFormation based on your team's preferences, including modular templates, state management, drift detection, and automated environment provisioning for dev, staging, and production.
Absolutely. We configure blue-green deployments using CodeDeploy with ALB target groups, canary deployments with weighted routing, and automated rollback triggers based on CloudWatch alarm thresholds for error rates and latency metrics.
We integrate AWS Secrets Manager and Systems Manager Parameter Store into CI/CD pipelines with least-privilege IAM roles, implement secret rotation policies, and configure environment-specific parameter hierarchies that keep sensitive values out of source control.