Platform Engineer with IssueOps and GitOps
How platform engineering eliminates infrastructure bottlenecks while automating enterprise security, compliance, and cloud onboarding through issue-driven GitOps.
Writing
Notes on AI platforms, agent quality, and how software engineering is changing.
How platform engineering eliminates infrastructure bottlenecks while automating enterprise security, compliance, and cloud onboarding through issue-driven GitOps.
Why platform engineers building agentic AI systems choose Amazon EKS Auto Mode over Fargate and ECS, and the real-world trade-offs to watch out for.
How to design a production model gateway that handles provider outages, rate limits, and latency spikes across multiple cloud providers.
Why flat virtual networks are dangerous for AI systems, and how to design isolated network zones to prevent SSRF and data exfiltration.
How streaming tokens, minute-long connections, and token-based rate limits break standard enterprise API proxies.
A technical deep dive into the four core platform modules: LLM gateways, MCP tool brokers, secure execution sandboxes, and unified telemetry.
An in-depth exploration of architectural patterns and best practices for building enterprise-grade AI platforms that scale.