Practical perspectives on enterprise software development, infrastructure automation, and cloud engineering from our project experience.
DevOps is a cultural practice. Platform engineering is a team structure that productizes that practice. Here's how they relate, where the line is, and why the distinction matters for engineering leaders.
Most teams set SLOs and never enforce them. Here's how to define meaningful targets, calculate error budgets, build alerting that fires at the right time, and make SLOs drive actual engineering decisions.
Most teams track DORA metrics and stop there. Here's how to interpret what the numbers are telling you, where the leverage is, and what to change when your scores don't move.
GKE is the most mature. EKS gives you the most AWS integration. AKS is the most operator-friendly. A direct comparison of managed Kubernetes across AWS, GCP, and Azure for teams that need to choose.
Step Functions locks you into AWS and charges per state transition. Temporal runs anywhere and handles failures differently. A direct comparison for teams choosing a workflow orchestration platform.
Tailscale is built on WireGuard—but that's like saying a car is built on an engine. WireGuard is a protocol you configure yourself; Tailscale is a mesh VPN that handles the hard parts for you.
Jenkins is free until it isn't. GitHub Actions is convenient until you hit the cost wall. Harness solves deployment—not builds. A direct comparison for teams choosing a CI/CD platform.
Both scale automatically—but in completely different ways. EC2 Auto Scaling handles sustained load; Lambda handles spikes. Here's the cost and latency reality for each.
ECS is simpler and AWS-native. EKS gives you Kubernetes portability and ecosystem. Here's how to choose the right container orchestration on AWS.
Let's discuss how we can help you build reliable, scalable systems.