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From Weekly Incidents to 99.95% Uptime
How we transformed RooGo's infrastructure through microservices architecture, comprehensive observability, and DevOps best practices.
Client Overview
About RooGo
Industry
Technology Platform
Challenge
Frequent downtime & poor performance
Solution
Microservices & observability transformation
The Challenge
Critical Issues Impacting Business
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Frequent Downtime Issues
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Weekly incidents causing service disruptions, affecting user experience and business revenue. The monolithic architecture made it difficult to isolate and fix issues quickly.
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Poor SRE Metrics
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Mean Time to Recovery (MTTR) measured in hours, not minutes. Lack of proper monitoring and observability made troubleshooting a time-consuming process.
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Monolithic Architecture Bottlenecks
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Single point of failure architecture with tightly coupled components. Database lock contentions and memory leaks affecting entire application performance.
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Lack of Observability
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No distributed tracing, limited monitoring, and scattered logs made it nearly impossible to understand system behavior and identify root causes of issues.
Technical Implementation
Comprehensive Transformation Approach
1. Initial Assessment & Root Cause Analysis
Analysis Performed
- Application log analysis to identify failure patterns
- Load testing to identify bottlenecks
- Database query analysis revealing slow queries
- Memory leak detection in monolithic application
- Network latency analysis between components
Key Findings
Database Bottlenecks
Lock contentions causing 40% of incidents
Memory Leaks
Gradual memory consumption requiring weekly restarts
No Circuit Breakers
Cascade failures affecting entire system
Limited Observability
MTTR increased due to lack of visibility
2. Microservices Architecture Transformation
Architecture Redesign
Design Principles Applied
- • Domain-Driven Design (DDD) for service boundaries
- • Single responsibility principle per service
- • Database per service pattern
- • Event-driven communication where appropriate
- • API gateway for external communication
Service Mesh Architecture
- • Istio for inter-service communication
- • Automatic mTLS for service-to-service security
- • Traffic management and load balancing
- • Circuit breakers and retry policies
- • Distributed tracing integration
Containerization Strategy
We implemented a multi-stage Docker build strategy for optimal image sizes and security. This approach separated build dependencies from runtime, resulting in smaller and more secure production images.
- • Multi-stage builds for smaller images
- • Non-root user execution
- • Production-optimized dependencies
- • Layer caching for faster builds
Service Configuration
Each microservice was deployed with carefully tuned resource limits and requests, ensuring optimal performance while preventing resource starvation.
- • Auto-scaling based on CPU/memory
- • Resource limits to prevent noisy neighbors
- • Health checks and readiness probes
- • Rolling updates with zero downtime
3. Kubernetes Platform on AWS EKS
High Availability
- • Multi-AZ cluster deployment
- • 3 master nodes across AZs
- • Auto-scaling node groups
- • Spot instances for cost optimization
Auto-scaling
- • HPA based on custom metrics
- • VPA for right-sizing
- • Cluster autoscaler
- • Predictive scaling policies
Security
- • RBAC implementation
- • Network policies
- • Pod security policies
- • Secrets management
Service Mesh Configuration
We implemented Istio service mesh for advanced traffic management, enabling canary deployments and A/B testing with fine-grained control over traffic distribution.
Traffic Management
- • Header-based routing
- • Weighted traffic splitting
- • Circuit breakers
- • Retry policies
Deployment Strategies
- • Canary releases (10% → 100%)
- • Blue-green deployments
- • Feature flag integration
- • Automatic rollback on errors
4. Comprehensive Observability Stack
OpenTelemetry Implementation
Distributed Tracing
- • End-to-end request tracing
- • Custom spans for business logic
- • Context propagation
- • Sampling strategies
Metrics Collection
- • Custom business metrics
- • Infrastructure metrics
- • Application performance
- • Real-user monitoring
Log Correlation
- • Trace ID injection
- • Structured logging
- • Centralized aggregation
- • Real-time analysis
Monitoring Stack Components
Prometheus
Metrics collection, storage, and alerting
- • Service discovery integration
- • Custom recording rules
- • Long-term storage with Thanos
Grafana
Visualization and dashboards
- • Service dependency maps
- • SLO/SLI dashboards
- • Alert visualization
ELK Stack
Centralized logging and analysis
- • Log parsing and enrichment
- • Full-text search
- • Anomaly detection
SRE Metrics Implementation
Golden Signals Monitoring
Latency
P50, P95, P99 tracking
Traffic
Requests per second
Errors
Error rate by service
Saturation
Resource utilization
Service Level Objectives
- Availability Target 99.9%
- P95 Latency <200ms
- Error Budget 43.2 min/month
Alert Configuration Strategy
We implemented comprehensive alerting based on SLOs, ensuring teams are notified only for actionable issues that impact business objectives.
Alert Categories
- • Error rate violations (>1% threshold)
- • Latency breaches (P95 > SLO)
- • Resource saturation warnings
- • Business metric anomalies
Alert Routing
- • Team-based routing
- • Severity-based escalation
- • Deduplication and grouping
- • Integration with on-call rotation
5. Performance Optimizations
Database Optimization
Connection Pooling
PgBouncer implementation reduced connection overhead by 80%
Query Optimization
Index optimization and query rewrites improved performance by 85%
Read Replicas
Separated read and write workloads for better performance
Redis Caching
Strategic caching reduced database load by 60%
Application Performance
Caching Layers
Multi-level caching strategy for frequently accessed data
Async Processing
Heavy operations moved to background jobs with RabbitMQ
CDN Integration
CloudFront CDN for static assets reduced latency by 70%
Code Optimization
Memory leak fixes and algorithm improvements
6. GitOps & CI/CD Pipeline
GitOps with ArgoCD
Automated Deployments
- • Git as single source of truth
- • Automated sync from Git to Kubernetes
- • Environment promotion workflows
- • Declarative application definitions
Safety Features
- • Automated rollback on failures
- • Progressive rollout strategies
- • Pre-sync and post-sync hooks
- • Drift detection and alerts
Jenkins Shared Library Implementation
We developed a comprehensive Jenkins Shared Library that encapsulates all CI/CD best practices, allowing developers to deploy services with minimal configuration while maintaining consistency and security across all deployments.
Quality Gates
- • 80% code coverage minimum
- • Zero critical vulnerabilities
- • Performance benchmarks
- • Security compliance
Deployment Strategies
- • Blue-green deployments
- • Canary releases
- • Feature flags
- • A/B testing support
Automation Benefits
- • 10x deployment frequency
- • 90% fewer failures
- • Consistent standards
- • Developer self-service
Results Achieved
Transformational Business Impact
Technical Achievements
Operational Excellence
Cost Optimization
Better resource utilization
Infrastructure cost reduction
Annual savings
Achieved in 4 months
"Fizyonops built our infrastructure with just the right level of detail—nothing excessive, nothing missing—resulting in a clean, modular, and future-proof system. Their cost-conscious approach enabled us to achieve modern infrastructure without straining our budget."
Demir Ali TOKTAŞ
Founder, RooGo
Key Takeaways
Lessons Learned
Observability is Essential
Comprehensive observability with OpenTelemetry provided the visibility needed to identify and resolve issues quickly, reducing MTTR from hours to minutes.
Microservices Done Right
Proper service boundaries based on DDD principles, combined with service mesh for resilience, enabled independent scaling and deployment.
Automation is Key
GitOps with ArgoCD and standardized CI/CD pipelines enabled developers to deploy safely and frequently, improving velocity and reliability.
Ready to Transform Your Infrastructure?
Let's discuss how we can help you achieve similar results with a tailored approach for your specific needs.