Client Overview
BoxPay Technologies Pvt Ltd is a payment orchestration platform that enables merchants to integrate multiple payment gateways, handle cross-border/local payments, manage recurring subscriptions, reconciliation, hosted or API checkout, smart routing, etc.
Incorporated in October 2022, BoxPay aims to provide a scalable, reliable, and secure payment infrastructure to e-commerce and digital businesses.
Challenge
As BoxPay scaled, several challenges emerged, which made DevOps transformation necessary:
- Frequent deployment delays & rollback issues — due to manual pipelines, inconsistent environments, and insufficient automation.
- Inconsistent infrastructure provisioning — drift between dev, staging, production; hard to replicate bugs in lower environments.
- Capacity & performance concerns — handling increasing transaction volumes and global payment traffic required better scaling and observability.
- Lack of centralized monitoring, logs, and alerting — low visibility into runtime issues, latency, failures across API endpoints, smart routing logic, etc.
- Security & compliance needs — since BoxPay also claims PCI DSS Level 1 certified infrastructure for their checkout solutions, the DevOps pipelines and infrastructure also needed to maintain security hygiene, secrets management, identity & access control, etc.
Approach / Implementation
Cloud Patrons collaborated with BoxPay to design and roll out a DevOps transformation program, structured over ~90 days. Following are the main phases and actions:
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Phase
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Objectives
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Key Activities
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Phase 1 – Baseline & Planning
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Understand current state; define target DevOps maturity; draw gaps
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- Audit existing CI/CD processes, environments (dev/staging/prod), infrastructure provisioning, configurations.
- Interview engineering and operations teams to list deployment pain points, bottlenecks.
- Define key metrics: deployment frequency, lead time for changes, failure rate, MTTR (mean time to recovery).
- Design desired pipeline frameworks, infrastructure-as-code (IaC) standards, environment strategy.
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Phase 2 – Pipeline & Infrastructure Automation
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Automate deployments, standardize infra provisioning
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- Introduce pipeline tools (e.g. Jenkins, GitHub Actions, or similar) for CI/CD — automated builds, unit tests, integration tests.
- Implement Infrastructure as Code (e.g. Terraform, CloudFormation) to provision VPCs, compute, storage, gateways, etc.
- Standardize environment templates (dev, staging, production) to reduce drift.
- Introduce configuration management with tools like Ansible / Chef / Puppet.
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Phase 3 – Observability, Monitoring & Security Hardening
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Increase visibility; enforce security controls in DevOps
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- Set up monitoring dashboards (metrics, latency, errors) using tools like Prometheus, Grafana, or a managed service.
- Centralized logging (ELK or equivalent) to collect logs from APIs, smart routing, checkout flows.
- Alerting based on thresholds (e.g. high error rate or latency).
- Secrets management (Vault or cloud provider secrets), IAM roles and least privilege policies.
- Automated vulnerability scans, dependency checks in pipelines.
- Validate everything in staging, run load / stress tests.
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Phase 4 – Deployment Strategy, Reliability & Culture
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Improve release safety and reliability; enable scale
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- Introduce deployment strategies like blue/green, canary releases to reduce risk.
- Implement rollback/tracing mechanisms so in case of issues, quick revert is possible.
- Continuous performance testing / capacity planning to ensure scaling as traffic increases.
- DevOps training & best practices documentation; champion culture shift so engineers are part of operations feedback loop.
- Ensure compliance (with PCI DSS etc.) is baked in – code reviews, configuration reviews, auditing pipelines.
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Results
After the implementation, BoxPay was able to realize several measurable improvements:
- Faster deployment cycle — e.g. deployment frequency increased from once every few days to multiple times per day (or fewer manual rollback incidents).
- Reduced lead time for changes (from commit to production).
- Lower failure / rollback incidents because of better testing, staging parity, and safer deployment strategies.
- Improved system reliability & uptime — fewer outages, better fault isolation.
- Better observability — faster detection and resolution of issues; more proactive monitoring.
- Security & compliance assured — secrets management, least privilege, dependency checks, helping maintain their PCI DSS posture without sacrificing agility.
- Scalability — ability to scale to higher transaction volumes, cross-border traffic, smart routing without major rework.
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