Experienced in the entrepreneurial realm and skilled in managing a wide range of operations, I bring expertise in startup launches, sales, marketing, business growth, brand visibility enhancement, market development, and process streamlining.
A practical framework for benchmarking and governing AI agents in AIOps. Learn how to measure reasoning, tool use, incident impact, and operational risk before production rollout.
A hands-on tutorial for building an AI-driven incident triage pipeline on Kubernetes using OpenTelemetry and LLM reasoning, with human-in-the-loop validation.
Learn how to manage synthetic monitoring as code using Terraform and modern observability platforms. Build scalable, version-controlled checks integrated into AIOps pipelines.
Discover how to build secure AIOps pipelines with a DevSecOps framework. Learn step-by-step instructions and best practices to integrate security seamlessly.
Discover how to embed security into AIOps with our framework, ensuring robust protection without compromising on agility. Essential for DevSecOps success.
An expert breakdown of Kubernetes 1.36 through an AIOps lens, examining API changes, scaling behavior, and security shifts that impact automation and ML-driven operations.
A practical AIOps maturity model that maps the shift from reactive firefighting to predictive, autonomous operations—complete with benchmarks and design patterns.
A deep architectural guide to running autonomous AI agents safely inside Kubernetes-based AIOps platforms, with patterns for isolation, policy, and observability.
A practitioner-focused blueprint for deploying and governing AI agents inside Kubernetes-based AIOps platforms, covering control planes, isolation, observability, and failure domains.
A practical reference for balancing signal fidelity and cost in AIOps. Learn decision frameworks for sampling, retention, tiering, and vendor pricing to control observability sprawl.
Move beyond vague efficiency claims. This analysis introduces a FinOps-aligned framework to rigorously quantify AIOps ROI across incidents, MTTR, telemetry costs, and productivity.
