Does your backend know the difference between {} and {"email": null}? It's vital if you want the correct data. Missing fields and explicit nulls carry different intent.
Strong QA is not checklist work. It combines investigation, analytical thinking, and technical communication to find failure paths early and improve the system over time.
SAP to S/4HANA migrations don’t fail loudly — they fail silently through legacy ABAP, bad data sync, and broken interfaces discovered weeks after go-live.
Apache Beam turns ten. From Google's 2015 Dataflow paper to 4 trillion daily events at LinkedIn — what it got right, where it falls short, and what comes next.
Designing scalable lease coordination in CockroachDB, focusing on key distribution, concurrency, and reducing transaction conflicts in multi-region systems.
Microservices assume predictable callers. AI agents break this with non-deterministic calls, fan-out, and retries. Here are 5 core assumption breaks and fixes.
AI is transforming multi-cloud integration with real-time, decentralized, secure systems — improving compliance, APIs, and scalability across industries.
Building effective AI models for real-world applications requires clear problem definition, quality data, the right algorithms, continuous testing, and optimization.
Observability costs spiral when teams optimize for visibility, not cost. Fix it by making spend visible, sampling aggressively, and cutting low-value data.