Implementation guides, architecture patterns, and best practices from real-world SaaS infrastructure transformations. For real-world examples, see our case studies. Explore cloud-native patterns using Kubernetes, Terraform, and CI/CD tools in our blog.
Technical guides for reducing cloud infrastructure costs through optimization strategies
Step-by-step guide to reducing AWS costs by 70%+ through EC2 spot instances, Karpenter autoscaling, S3 storage tiering, and NAT Gateway optimization. Includes actual metrics and implementation details.
How to implement automated EBS volume resizing based on actual usage patterns. Includes Lambda functions, CloudWatch alarms, and cost savings calculations.
Implementation guide for autoscaling HAProxy instances based on traffic patterns. Reduce load balancer costs while maintaining high availability. See our complete HAProxy production guide for architecture patterns and best practices.
Complete Karpenter 2026 guide: NodePool configuration, consolidation modes, spot/on-demand balancing, multi-arch clusters. Save 30-60% on EKS node costs with production-tested strategies.
Building infrastructure that never breaks
Production guide to HAProxy architecture patterns, monitoring, automation, and failure modes. Written by SREs who have run HAProxy at scale. Field-proven patterns for high availability and operational reliability.
Comprehensive guide to implementing Prometheus, Grafana, Loki, and intelligent alerting. Includes PostgreSQL and Redis monitoring, distributed tracing, and incident response automation.
Step-by-step guide to setting up PostgreSQL read replicas with streaming replication, load balancing, and failover. Reduce primary database load by 70% and eliminate connection pool exhaustion.
Complete guide to deploying Redis cluster on Kubernetes with StatefulSets, automatic failover, and sharding. Achieve 99.7% uptime with horizontal scaling capabilities.
Production guide to HAProxy monitoring metrics that actually matter. Learn which signals catch failures before they become outages, written by SREs who have run HAProxy at scale.
Production lessons from running HAProxy in Kubernetes. Operational reality of stateful edge components in dynamic schedulers, reload behavior, ConfigMap propagation, and failure modes.
Technical guides for handling growth and optimizing performance
Complete guide to implementing Karpenter for node autoscaling and HPA for pod autoscaling. Handle 3x user growth automatically with cost optimization through spot instances.
Deep dive into Karpenter 2026: NodePool configuration, consolidation strategies, spot/on-demand balancing, multi-architecture support. Production-tested practices for 30-60% node cost reduction.
Implementation guide for Lumigo APM integration. Track requests across microservices, identify bottlenecks, and optimize API response times. Reduce average response time by 57%.
Real-world case study: Learn how we optimized a critical PostgreSQL query from 800ms to 130ms using indexing, query restructuring, and schema improvements. Includes EXPLAIN plans, benchmarks, and actionable optimization techniques.
Automated deployment and infrastructure management
Complete GitOps implementation using GitHub Actions for CI and ArgoCD for CD. Deploy 117 applications with automated sync, health monitoring, and one-click rollbacks. Reduce deploy time from 45 minutes to 6 minutes.
Expert guide to implementing VPA for automatic pod resource optimization. Learn how to reduce over-provisioning by 35-60%, achieve 30-60% infrastructure cost savings, and eliminate OOMKills. Includes production setup, best practices, and real-world examples.
Implementation guide for automated backup retention, compression, and lifecycle management. Reduce backup storage costs by 90% while maintaining RPO/RTO requirements.
How HAProxy automation fails in real environments and how teams reduce blast radius. Incident-driven guide to safe reload patterns, config validation limits, and automation guardrails.
Why experienced teams miss HAProxy failures even with dashboards and alerts. Failure masking, false confidence, and the signals that lie—written by SREs who have seen outages come out of nowhere.
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