DevOps

Case Study: CI/CD Pipeline Automation with DevOps

Discover how CycaSoft transformed software delivery for a SaaS provider by implementing a secure, automated DevOps pipeline, reducing deployment time and increasing reliability.

DevOps project image
DevOps Pipeline Architecture
Client

A cloud-native SaaS company offering workflow automation tools to enterprise clients across Europe and North America.

Challenge

Manual deployments were time-consuming, prone to errors, and lacked rollback capabilities. Development and operations teams struggled with integration delays and inconsistent environments.

Solution Delivered
  • Built a complete CI/CD pipeline using GitHub Actions, Jenkins, and Docker
  • Containerized all microservices using Docker and orchestrated deployment with Kubernetes (EKS)
  • Set up infrastructure as code (IaC) using Terraform for repeatable cloud provisioning on AWS
  • Configured automated testing, security scans, and rollback strategies in each pipeline stage
  • Implemented real-time monitoring with Prometheus and Grafana
  • Introduced centralized logging using ELK Stack (Elasticsearch, Logstash, Kibana)
Business Impact
  • Reduced deployment time from hours to under 10 minutes
  • Enabled daily production releases with zero downtime
  • Improved team collaboration with automated workflows and infrastructure visibility
  • Reduced post-deployment bugs by 35% through continuous testing

DevOps Solutions Offered by CycaSoft

Predictive Maintenance

CI/CD pipelines for deploying AI models to monitor machine health using GitLab CI, Docker, and Kubernetes. Monitoring integrated via Prometheus + Grafana.

Intelligent Document Processing

Automated deployment pipelines using GitHub Actions, Terraform, and Docker for OCR engines and document analyzers, with secret management via Vault.

Computer Vision

Deploy vision AI models using ArgoCD and Kubernetes. Canary testing via Istio ensures stable updates for detection APIs in production.

NLP & Chatbots

Infrastructure-as-Code using Ansible and Terraform for scalable chatbot deployments. Load-tested with JMeter, monitored via Datadog.

Fraud Detection

Deploy ML fraud detection models using MLflow and GitOps via ArgoCD. Enable rollbacks with Istio and ensure model retraining via CI workflows.

AI Integration & Deployment

Enable seamless AI feature integration using Helm charts, Docker Compose for local testing, and CircleCI for multi-environment deployment automation.

ReactJS Solutions Across Industries

Manufacturing

Smart Factory CI/CD for AI-Driven Defect Detection.

  • CI/CD pipelines using Jenkins + GitLab CI
  • Containerization with Docker for AI image inspection tools
  • Kubernetes for scalable machine vision inference APIs
  • Prometheus + Grafana for real-time production line monitoring
  • Impact: Enabled daily deployments for AI updates
  • Impact: Reduced false-positive defect alerts by 22%
  • Impact: Downtime due to code regression dropped by 70%
Healthcare

Automated EMR Testing and Secure Deployment.

  • Terraform + Ansible for HIPAA-compliant infrastructure provisioning
  • Secure deployment pipelines using GitHub Actions and Vault for secrets
  • Load testing on JMeter, monitoring via Datadog
  • Impact: Deployment time reduced from 2 weeks to 2 hours
  • Impact: Automated security checks and test coverage increased by 60%
  • Impact: Improved compliance tracking for audits
Logistics

Fleet Management Dashboard Deployment with Real-Time Telemetry.

  • CI/CD for React + Node-based logistics dashboard using CircleCI
  • Helm charts for fleet microservices on EKS (AWS Kubernetes)
  • Integrated Elastic Stack (ELK) for vehicle telemetry & delivery logs
  • Impact: Achieved 99.9% uptime for fleet tracking
  • Impact: Faster feature rollout (weekly → daily)
  • Impact: Reduced delivery SLA violations by 18%
Banking

Core Banking App Deployment & Risk Model Pipelines.

  • Azure DevOps pipelines for versioned builds
  • Infrastructure-as-code with ARM templates
  • SonarQube + Nexus + Fortify for secure DevSecOps integration
  • Impact: Accelerated release cycle from quarterly to bi-weekly
  • Impact: Improved incident response through proactive logging
  • Impact: Enhanced data model drift detection using CI pipelines
Insurance

Claims Automation Workflow in CI/CD for AI Models.

  • GitOps with ArgoCD for AI model deployment
  • Canary rollouts with Istio for fraud detection APIs
  • CI pipelines for retraining models using MLflow + Kubeflow
  • Impact: 25% faster fraud model deployment
  • Impact: Rollback-enabled ML workflows reduced customer impact risk
  • Impact: 35% fewer manual interventions in claim approvals
Real Estate

DevOps for Recommendation Engine & Web Portal.

  • Docker Compose + Jenkins for staging and production parity
  • SSR frontend (Next.js) deployment via Vercel + GitHub Actions
  • Feature flag management using LaunchDarkly
  • Impact: Increased deployment frequency by 5x
  • Impact: User feedback loop shortened via CI-based A/B tests
  • Impact: Conversion rates improved by 12%
CYCASOFT AI Assistant