I build and operate
scalable infrastructure
Specializing in CI/CD automation, Kubernetes platforms, and hybrid cloud environments — delivering reliable systems across banking and SaaS platforms.
About My Practice
I specialize in building resilient infrastructure and platform engineering solutions for mission-critical systems. My focus is on enabling engineering teams through automation, observability, and operational excellence—transforming how organizations deploy, monitor, and scale their production systems.
6+ Years Infrastructure Excellence
From system engineering to platform architecture, delivering production-grade infrastructure at scale.
Senior DevOps Leadership
Architecting CI/CD platforms, Kubernetes ecosystems, and observability systems for enterprise banking and fintech.
Results-Driven Impact
99.99% uptime SLAs, 89% alert noise reduction, MTTR from hours to minutes, infrastructure cost optimization by 35%.
Platform Engineering Pioneer
Building internal developer portals and self-service infrastructure to empower 40+ engineers with reduced friction.
Core Expertise Areas
Professional Impact
Six years of engineering reliability and performance into production-grade ecosystems.
PT Packet System Indonesia
Architecting infrastructure automation, CI/CD pipelines, and building an internal developer portal for Crampas AI. Reducing deployment friction and enabling self-service infrastructure for 40+ engineers.
PT. Bank Raya Indonesia
Managed 100% of Gitlab repositories with CI/CD pipelines for all product lines. Implemented Kubernetes on GCP, automated infrastructure with Ansible, and maintained comprehensive monitoring.
PT. Bank Rakyat Indonesia Tbk.
Designed and maintained Bitbucket repositories with Jenkins CI/CD pipelines. Orchestrated Kubernetes and Helm deployments for microservices using Docker, with Prometheus and Grafana monitoring.
PT. Bank Rakyat Indonesia Tbk.
Monitored server performance, troubleshot issues using Linux logs and SQL queries, and managed middleware configuration on WebLogic infrastructure.
Case Studies
Engineering solutions for complex infrastructural challenges.
Crampas AI: End-to-End CI/CD & Security Pipeline
Architected complete CI/CD infrastructure for Crampas AI using Gitlab, integrating SAST/DAST security scanning and multi-stage deployment automation.
"100% of repositories lacked automated testing and security scanning, causing manual deployment bottlenecks and security vulnerabilities in production."
Implemented Gitlab CI/CD pipelines with integrated SAST/DAST scanning, automated artifact builds, and multi-environment deployments. Set up centralized monitoring with ELK and Prometheus.
Reduced deployment time from 4+ hours to 15 minutes. Caught 47+ security vulnerabilities before production. 99.5% uptime for CI/CD infrastructure.
Bank Raya: Kubernetes Modernization on GCP
Led migration of monolithic banking infrastructure to Kubernetes on Google Cloud Platform with automated scaling, multi-region resilience, and GitOps principles.
"On-premise infrastructure had limited scalability, no disaster recovery, and 100+ manual deployment touchpoints. Monthly downtime averaged 8+ hours."
Provisioned GKE clusters, implemented Helm for package management, set up Ansible for infrastructure automation, and deployed Prometheus+Grafana monitoring stack.
Reduced deployment errors by 95%. Achieved 99.99% uptime SLA. Infrastructure costs optimized by 35% through auto-scaling. RTO dropped from 6 hours to 12 minutes.
Multi-Database HA Strategy & Automation
Designed and maintained high-availability strategy for heterogeneous database stack (MySQL, MongoDB, PostgreSQL, MSSQL) with automated backups and disaster recovery.
"Multiple database technologies without unified monitoring or backup strategy. Data loss incidents every 6 months. Recovery time exceeded 8 hours."
Implemented automated snapshot strategies, cross-region replication for critical databases, Prometheus exporters for unified monitoring, and runbooks for incident response.
Zero data loss in 2 years of operation. RTO reduced to <30 minutes. Backup validation automated, reducing restore test overhead by 60%.
Enterprise Monitoring & Observability Platform
Built unified monitoring and observability platform across 4 banking entities using Prometheus, Grafana, Zabbix, and ELK stack for real-time visibility.
"Fragmented monitoring across infrastructure (Zabbix), applications, and logs. Alert fatigue from 1000+ misconfigured alerts. MTTR averaged 3+ hours."
Consolidated monitoring with Prometheus for metrics, Grafana for dashboards, ELK for centralized logging. Implemented intelligent alerting rules and SLO-based dashboards.
MTTR reduced from 3 hours to 18 minutes. Alert noise reduced by 89% through intelligent correlation. Visibility into 95% of infrastructure and application metrics.
Technical Arsenal
A comprehensive set of tools leveraged to build, deploy, and maintain robust infrastructure.
Cloud & Infrastructure
CI/CD & Source Control
Monitoring & Observability
Databases & Languages
Engineering Insights
Thoughts on architecture, scalability, and technical leadership.
Platform Engineering: Building Self-Service Developer Portals
From MTTR to MTBF: SLO-Driven Incident Response at Scale
Multi-Cloud Cost Optimization: FinOps for Infrastructure Leaders
"We don't automate because we are lazy. We automate to reduce the cognitive load of humans so they can focus on the next level of abstraction."
Isak Maruhum Purba
Infrastructure Philosophy