The existing deployment processes faced challenges such as occasional delays, manual interventions, and limited centralized control. Additionally, the lack of real-time monitoring and proactive vulnerability detection posed potential risks to operational efficiency and data security.
Slow & Manual Deployments
Manual release steps for applications and databases slowed down delivery cycles and introduced inconsistencies.
Fragmented Toolchain & Workflows
No centralized CI/CD setup across environments, resulting in siloed workflows and limited traceability.
Security Blind Spots
No integrated static or dynamic analysis, leaving vulnerabilities undetected until late in the cycle.
No Observability Across Hybrid Infra
On-prem and cloud systems lacked end-to-end monitoring, delaying incident response and root cause analysis.
An integrated DevOps framework was implemented using both Azure DevOps and AWS-native tools, offering secure, automated, and scalable delivery pipelines.
Introduced structured Git branching, artifact creation, automated testing, and release pipelines with clear staging (Dev → QA → SIT → Prod).
Tools like SonarQube, GitLeaks, and SAST/DAST checks ensured early vulnerability detection and compliance adherence.
Real-time observability across Kubernetes (AWS EKS) and on-prem systems enabled quicker diagnosis and resolution.
Jenkins + Docker + Amazon ECR + Kubernetes empowered zero-downtime deployments for critical kiosk infrastructure.
Release timelines improved by over 40% with automated pipelines replacing manual handoffs
Achieved end-to-end traceability from code commit to production with full Jira integration
Enabled real-time monitoring & faster incident resolution through centralized dashboards
Built-in security gates reduced post-release vulnerabilities by 60%
Deployed a hybrid-ready CI/CD platform with seamless scaling across cloud and on-prem assets
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