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Case Studies
Real infrastructure problems we’ve solved. Kubernetes, databases, cloud, migrations.
Zero-downtime MySQL migration at TB scale
The Problem A fintech SaaS company was running a 2TB MySQL database on aging bare metal servers. The infrastructure was nearing end-of-life. Backups were manual and untested. There was no failover. If the primary went down, the platform went down. Migration had to happen soon, but the cost of downtime was unacceptable.
Read case study →Kubernetes cost reduction: 40% less cloud spend
The Problem An e-commerce platform was spending $18,000/month on an AWS EKS cluster. The infrastructure team knew costs were high, but couldn’t identify where the waste was. No autoscaling was configured. Nodes ran at 20% utilization. Reserved instances weren’t in use. Nobody had a clear picture of cost per workload.
Read case study →MySQL incremental backups at scale: From 12-hour backups to 30-minute operations
The Problem A data-heavy startup was running 2TB of MySQL in production. Full backups took 12+ hours and failed regularly. The team had no reliable way to test recovery. Full restoration took days. Backup failures went undetected until needed. The cost of managed backup solutions (Kasten, AWS DMS) was $150+/month just for backups.
Read case study →Kubernetes node autoscaling: Handling unpredictable traffic spikes without manual intervention
The Problem A real-time data platform handled unpredictable traffic: election updates, breaking news, market announcements created sudden spikes of millions of requests in minutes. The team tried Horizontal Pod Autoscaler (HPA) to scale replicas, but it failed.
Read case study →Ready to simplify your platform?
We work with a small number of clients at a time. If you’re dealing with reliability problems, complexity, or a platform that’s hard to operate, let’s talk.