Ship Code Faster Without Breaking Things

We design and implement automated delivery pipelines that make software releases predictable, fast and safe — from commit to production.

Azure DevOpsGitHub ActionsDockerKubernetes
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Deka Technology engineers working on devops & ci/cd pipeline projects
4x
Faster deployment cycles
< 2 min
Rollback time
Zero
Unplanned downtime
100%
Infrastructure as Code
THE CHALLENGE

When releasing software is a team sport played once a quarter

Deployments should be routine. In most enterprises, they are not. They require manual steps, coordination across teams, a maintenance window on Sunday night, and a rollback plan everyone hopes will not be needed. Software ships quarterly at best, bugs accumulate between releases, and developers spend more time managing deployments than writing code.

DevOps is not a job title — it is an engineering discipline that makes delivery predictable, automated and safe. Teams that deploy daily have fewer bugs, faster incident recovery and higher morale. Getting there requires investment in tooling, culture and process — but the return is compounding.

OUR APPROACH
01

Assess & Map

We audit your current release process — build systems, test coverage, deployment procedures, rollback capabilities and environment management.

02

Automate & Harden

Pipeline design from source control to production: automated builds, test gates, artifact management, environment promotion and deployment strategies.

03

Operate & Improve

Pipeline observability with DORA metrics — deployment frequency, lead time, change failure rate, MTTR. Continuous improvement of the pipeline itself.

CAPABILITIES

What we deliver

CI/CD Pipeline Design

End-to-end automated pipelines from code commit to production deployment. Pull request validation, automated builds, test execution, artifact publishing and environment promotion — all triggered automatically.

Infrastructure as Code

Terraform, Bicep and Helm for reproducible, version-controlled infrastructure. Environments defined once and deployed consistently everywhere. Drift detection and automated remediation.

Container Orchestration

Docker containerization and Kubernetes orchestration. Proper resource limits, health checks, auto-scaling and namespace isolation for multi-team environments.

Deployment Strategies

Blue-green, canary and rolling deployments that eliminate downtime and enable safe rollback. Feature flags for decoupled release and deployment.

DevSecOps

SAST, DAST, dependency scanning and secret detection integrated directly in the pipeline. Security built into every build, not checked at the end.

Observability & Alerting

Build pipeline dashboards, deployment tracking and DORA metrics. Integration with Grafana, Prometheus and Azure Monitor for environment health visibility.

Deployments still manual, slow or nerve-wracking?

Talk to a DevOps engineer who automates enterprise delivery pipelines.

Discuss your project
4x
Faster deployment cycles
< 2 min
Rollback time
Zero
Unplanned downtime
100%
Infrastructure as Code
PROJECT SPOTLIGHT
DEVOPS · CI/CD

4,000-Employee FMCG Manufacturer

CHALLENGE

A modernized ERP serving 2,000+ users had no automated pipeline — deployments were manual, quarterly and high-risk.

APPROACH

We built a complete CI/CD pipeline on Azure DevOps: automated build, test gates, containerized deployment to Kubernetes with blue-green switching. Infrastructure as Code with Terraform.

RESULT

Deployment frequency went from quarterly to weekly with zero unplanned downtime. Every deployment is auditable, rollback takes under 2 minutes.

Weekly deploysZero downtime< 2 min rollback
USE CASES

Where we apply it

  • Ship code daily instead of quarterly with automated pipelines
  • Eliminate manual deployment steps and Sunday maintenance windows
  • Scale workloads elastically with managed Kubernetes clusters
  • Reproduce any environment in minutes with Infrastructure as Code
  • Catch security vulnerabilities before they reach production
TECHNOLOGY

Technologies

Azure DevOpsGitHub ActionsDockerKubernetesTerraformHelmArgoCDPrometheusGrafanaSonarQube
TECHNOLOGY PARTNERS
Microsoft Microsoft
AWS AWS
FAQ

Common questions about devops & ci/cd pipeline

How long does it take to set up a CI/CD pipeline? +

A basic pipeline — automated build, unit tests and staging deployment — is operational in 1-2 weeks. Production-grade with integration tests, security scanning and canary deployments takes 4-8 weeks depending on system complexity.

Which CI/CD tools do you use? +

Azure DevOps Pipelines, GitHub Actions and GitLab CI, plus ArgoCD for GitOps-style Kubernetes deployments. Tool selection is driven by your existing ecosystem.

Our deployments require manual approvals for compliance. Can we still automate? +

Yes. We design pipelines with structured approval gates at environment promotion stages. Build and test work is automated, but a named person approves production deployment. This satisfies audit requirements while eliminating manual steps.

What is the difference between CI, CD and Continuous Deployment? +

CI automatically builds and tests on every push. CD extends this to prepare a deployable artifact. Continuous Deployment releases to production automatically. Most enterprises start with CI and CD; full continuous deployment requires sufficient test coverage and organizational confidence.

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Let's build something that works.

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