Projects · AWS / hybrid
Cloud Infrastructure
Reliable cloud foundations for Parkadda, enterprise SaaS, and government platforms—covering CI/CD, observability, autoscaling, backups, and security hardening on AWS and hybrid topologies. Multiplexer Solution implements infrastructure as code, cost guardrails, and incident runbooks so mission-critical parking and HR systems meet uptime expectations. Engagements range from greenfield setups to migrations off legacy VMs.
Overview
The Cloud Infrastructure offering delivers production-ready platforms for Multiplexer products and client-specific deployments. Teams inherit standardized Terraform modules, container baselines, and monitoring packs rather than ad-hoc server builds. The goal is predictable releases, measurable SLOs, and forensic readiness for government and enterprise audits.
Services span network design, secrets management, database HA, disaster recovery drills, and 24×7 alerting integrations. Hybrid patterns accommodate on-premise lane controllers that must sync securely to regional cloud endpoints.
Business context
Smart city and SaaS buyers increasingly mandate encryption, access logging, backup RPO/RTO targets, and penetration test remediation before production sign-off. Engineering teams without dedicated platform groups often accrue fragile deploy scripts and opaque on-call pain.
Investing early in platform engineering reduces outage blast radius during traffic spikes—common during stadium events or municipal holiday surges—and accelerates feature delivery by removing manual release toil.
Scope & deliverables
Platform engineering
- Terraform/IaC repositories with environment promotion (dev → staging → prod)
- Kubernetes or ECS clusters with hardened node images and pod security policies
- CI/CD pipelines (GitHub Actions or equivalent) with artifact signing and rollback hooks
Reliability & security
- Grafana/Prometheus or CloudWatch dashboards with SLO burn-rate alerts
- Centralized logging, WAF rules, IAM least-privilege baselines, and secrets rotation
- Backup automation, cross-region replication options, and documented DR exercises
Technical architecture
Workloads run in Docker containers orchestrated on EKS or ECS depending on team familiarity and cost profile. Stateful services use managed PostgreSQL with read replicas where reporting load warrants separation. Terraform modules encapsulate VPC layout, private subnets, NAT gateways, and service endpoints to reduce misconfiguration.
Edge parking sites communicate over TLS mutual-auth or signed tokens to regional API gateways; rate limiting and IP allowlists protect administrative surfaces. Cost allocation tags tie spend to customer or program codes for FinOps reviews.
Implementation phases
- Phase 1 — Assessment: Inventory of apps, dependencies, compliance drivers, and current pain points.
- Phase 2 — Foundation: Landing zone, CI/CD, observability, and secrets baseline.
- Phase 3 — Migration: Blue/green or canary cutovers with data validation checkpoints.
- Phase 4 — Operate: On-call rotations, game days, and quarterly cost/performance reviews.
Outcomes & metrics
Platform engagements target operational maturity indicators rather than vanity uptime claims alone:
- Deployment frequency increase from monthly to weekly (or better) with automated rollback
- Mean time to recovery (MTTR) under 30 minutes for P1 incidents with runbooks exercised
- 99.9%+ API availability for tier-1 services under standard maintenance windows
- 20–35% infrastructure cost optimization after rightsizing and reserved capacity planning
Government clients receive evidence packs—architecture diagrams, control matrices, and test reports—for security assessments.
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