Migrating from Traditional Workflow Engines (e.g., Temporal) to DBOS: An Engineering Playbook
If you already run Temporal (or a similar workflow engine), you’re not asking “What is durable execution?” anymore.
Recent posts
Async Wars: Comparing Python’s Free-Threaded Future vs Node.js Event Loop at Scale
If you’ve ever stood in a noisy data-center (or, more likely, a noisy Slack channel) debating “Django vs. Node,” you already know how quickly the conversatio...
Tracing the Future: Using eBPF for Low-Overhead Observability in Cloud-Native Systems
Modern production systems are like busy airports: thousands of “flights” (requests) landing and taking off across microservices, queues, and databases. When ...
KEDA vs. Knative vs. Kubernetes HPA: Choosing the Right Auto-Scaling Strategy for Microservices
Auto-scaling is the heartbeat of modern microservices. When it’s tuned well, your cluster feels alive: pods materialize as traffic surges, costs melt away wh...
Predictable Scaling: Reinventing Auto-Scaling with Queue Length, Traces, and Token Buckets
Most “auto-scaling” in the wild is basically: