Pipelines, builds, deployments, release failures.

Model training/serving bugs, LLM integrations, GPU/CUDA issues.

Memory leaks, slow queries, caching, high-traffic incidents.

Cloud services, Kubernetes, servers, storage, cost surprises.

Cloud bill spikes, cost allocation, commitments and the engineering fixes that cut spend.

Frontend and backend bugs in web apps — rendering, routing, APIs, sessions.

Exchange APIs, order management, market data and backtesting bugs in trading systems.

Training pipelines, model registries, GPU infrastructure and model serving in production.

DNS, TLS/SSL, proxies, load balancers, CDN, timeouts.

Fixed/disclosed vulnerabilities, auth bugs, hardening, CVE write-ups.