Stanza Living
Expanding to a new city every few weeks demands infrastructure that ships as fast as the business. Manual processes and poor observability were quietly becoming the ceiling on Stanza Living's growth.
The Challenge
Stanza Living was expanding rapidly across India's co-living market, but manual deployment processes and inefficient resource allocation were creating operational bottlenecks that threatened its growth trajectory. Poor observability and logging meant incidents took too long to diagnose and resolve. The team also needed to migrate from a public to a private infrastructure model to satisfy compliance requirements — all without slowing the pace of expansion.
Our Solution
GYSP implemented automated CI/CD pipelines using SonarQube with Jenkins and ArgoCD, deployed Dockerized environments on AWS EKS with built-in cost optimisation, and centralised logging via ELK with Grafana-powered monitoring dashboards. A data warehousing solution was built on Amazon Redshift to power business analytics. The migration to private infrastructure was executed with enhanced security controls and DevOps security tool integration for Kubernetes protection — all provisioned through Terraform IaC modules.
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Get free briefKey Deliverables
- Automated CI/CD pipelines using SonarQube, Jenkins, and ArgoCD
- Dockerized workloads deployed on AWS EKS with cost optimisation built in
- Centralised logging via ELK stack and Grafana monitoring dashboards
- Amazon Redshift data warehousing implementation for business analytics
- Migration from public to private infrastructure with enhanced security controls
- Kubernetes protection via DevOps security tooling integration
- Infrastructure-as-Code provisioning using Terraform modules
Services Delivered
- Cloud Engineering
- DevOps Engineering
- Data Engineering
- IT Consulting
Tech Stack
Frequently Asked Questions
How did GYSP reduce deployment time for Stanza Living by 45%?+
GYSP implemented automated CI/CD pipelines using SonarQube for code quality gates, Jenkins for build orchestration, and ArgoCD for GitOps-driven deployments to AWS EKS. Replacing manual deployment steps with automated pipelines eliminated the waiting time between code merge and production deployment — cutting the total cycle by 45% while simultaneously improving quality through automated testing gates.
What is Amazon Redshift and how was it used for Stanza Living's analytics?+
Amazon Redshift is a managed cloud data warehouse optimised for large-scale analytical queries. GYSP built a Redshift solution aggregating operational data from Stanza Living's platform into a structured, queryable format — giving the business team access to dashboards and analytics on occupancy, revenue, and expansion performance without impacting the production database.
How did GYSP migrate Stanza Living from public to private infrastructure?+
The migration was executed progressively — new workloads were provisioned in the private environment using Terraform IaC modules, and existing workloads were migrated one by one with rollback paths at each step. Enhanced security controls including IAM hardening, network segmentation, and DevOps security tooling for Kubernetes were applied before production traffic moved — ensuring the private environment met compliance requirements before data followed.
What is the ELK stack and how does it support centralised logging?+
The ELK stack — Elasticsearch, Logstash, and Kibana — is a widely used open-source logging platform. Elasticsearch stores and indexes log data, Logstash ingests and transforms logs from multiple sources, and Kibana provides a visual interface for searching and dashboarding. For Stanza Living, GYSP used ELK alongside Grafana-powered monitoring to centralise logs from all microservices — reducing mean time to diagnose and resolve incidents by 60%.
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