Outcome Oriented Technologist, Sales Engineer, and Cybersecurity Expert
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Transform NegaLog from batch analysis into 24/7 production monitoring. NegaLog Watch continuously tails your log files and evaluates rules in real-time, providing immediate detection of missing logs with production-ready state persistence, alert deduplication, and performance-tested reliability.
This guidebook is the first in a series that aims to foster empathy among those responsible for operating complex systems. We present a Safety Continuum that allows readers to explore the potential solutions they can implement to make their day-to-day work safer and more predictable. While we, as an industry, have invested enormous effort into system uptime and availability, we have often neglected safety, the actual experience of humans holding everything together at 3AM, working with brittle and dangerous tools. This initial volume, and the ones that follow, work towards making systems safety a primary consideration. Now is the best time in computing history for operators to design their own fate.
A CLI tool that recursively searches through directories to find and remove all emojis from text files. Useful for testing AI-assisted coding tools.
A generic golang application skeleton providing a foundation for building API servers with web interfaces and command-line tools.
A Model Context Protocol server that provides makefile target inspection and execution capabilities for AI assistants.
Traditional log analysis tools search for patterns that exist. NegaLog inverts the paradigm: define what logs should exist, and it reports what's missing. Detect incomplete transactions, monitor scheduled jobs, and verify error handling - all by identifying the absence of expected log entries. Open source CLI tool written in Go with support for sequence detection, periodic monitoring, and conditional absence detection across multiple log files.
Test your AI-assisted code for missing implementations, TODOs, and other AI generated artifacts
A cybersecurity CLI tool and Python library for checksumming Model Context Protocol tools and securing your agents against prompt injection attacks.
A Python framework for building safety-critical operations with arbitrary stage pipelines, audit trails, locking, and approval workflows.
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