Streamline software delivery, improve reliability, and reduce operational overhead through automation-first practices, CI/CD pipelines, and modern infrastructure as code.
End-to-end automation expertise — from CI/CD design to GitOps, self-healing infrastructure, and DevSecOps integration.
Automated build, test, and deployment pipelines with quality gates, approval workflows, and rollback strategies.
Terraform, CloudFormation, ARM, Pulumi — declarative, version-controlled infrastructure provisioning.
Ansible, Chef, Puppet — consistent environment configuration and drift prevention.
Docker, EKS, AKS, GKE, OpenShift — orchestration, GitOps with ArgoCD, and service mesh.
SAST, DAST, container scanning, secret detection, and compliance as code in the pipeline.
Auto-remediation, auto-scaling, automated certificate renewal, and patching workflows.
End-to-end automation from commit to production with enterprise-grade deployment strategies.
| Capability | Description |
|---|---|
| Source Control Integration | GitHub, GitLab, Bitbucket, Azure Repos — webhook & branch policies |
| Build Automation | Compile, package, artifact versioning, dependency caching |
| Automated Testing | Unit, integration, security, performance gates |
| Release Orchestration | Multi—environment promotion, approval gates, audit trails |
| Rollback Capability | One—click rollback, automated recovery, versioned artifacts |
Blue/Green
Zero-downtime swaps
Canary
Gradual rollout
Rolling
Incremental updates
Manual deployments, no CI/CD, infrequent releases
Starting pointBasic CI, manual testing, scheduled releases
1-3 monthsFull CI/CD, automated testing, environment parity
3-6 monthsGitOps, progressive delivery, self-service platforms
6-12 months| Security Control | Automation Approach |
|---|---|
| SAST | Automated scan on pull request |
| DAST | Scheduled scans on staging environment |
| SCA | Dependency vulnerability scanning in pipeline |
| Container Scanning | Image vuln scan before registry push |
| IaC Scanning | checkov / tfsec in CI pipeline |
| Secrets Detection | Automated secrets scanning in code/commits |
Auto-remediation
Detect & restart failed services, recycle unhealthy pods
Auto-scaling
Horizontal pod scaling, instance scaling based on metrics
Automated backup verification
Scheduled restore tests with validation
Certificate automation
Auto-renewal and rotation without downtime
Real results from automation-first delivery
Challenge: 4h manual builds, frequent errors
Release time → 15 min, zero errors in 6 months
Challenge: No audit evidence for deployments
Audit-ready logs, deployment frequency ↑5x
Challenge: K8s config drift, frequent outages
GitOps + ArgoCD → 99.99% uptime, zero drift
| Capability | Dataclyve | In-house DevOps Team | Tool Vendor Consulting |
|---|---|---|---|
| Multi-cloud & hybrid | Yes | Varies | Varies |
| Ongoing managed services | Yes | N/A | Project-only |
| DevSecOps integrated | Yes | Varies | Varies |
| 24x7 pipeline monitoring | Yes | Rare | No |
Strategic Technology Partners
Current state review, maturity scoring, toolchain inventory (1-2 wks)
Pipeline architecture, environment strategy, security integration (1 wk)
Pipeline build, IaC creation, monitoring setup (2-6 wks)
Team training, runbooks, operational handoff (1-2 wks)
Request a complimentary DevOps maturity assessment and receive a prioritized roadmap for CI/CD, automation, and infrastructure as code.
