2. DevOps & Infrastructure

Optimizes AWS costs through monitoring, billing analysis, and security assessment with integrated observability tools.

Expert guidance for implementing AWS serverless event-driven architectures using Lambda, API Gateway, and Well-Architected Framework best practices.

Comprehensive tool for deploying, configuring, and managing AWS Bedrock AgentCore services including Gateway, Runtime, and Identity components.

Expert in AWS CDK for defining and deploying cloud infrastructure as code using TypeScript or Python, covering stack composition and deployment workflows.

Accelerates log analysis using lnav with multi-framework support and automatic pruning for efficient log management.

Efficiently extracts specific fields from YAML configuration files using yq, reducing context usage by 80-95% for large files like docker-compose.yml and GitHub Actions workflows.

Emergency procedure to resolve system crashes from file descriptor limits by adjusting ulimit and restarting services.

Automates installation of applications, packages, and services across Python, Node.js, and Docker ecosystems using uv, bun, and mise tooling.

Manages project dependencies and devops workflows through mise, enabling unified environment setup and task automation for development teams.

Provides Docker patterns, naming conventions, and project structure guidelines for organizing repositories and deploying containerized services.

Expertise in zellij terminal multiplexer for layout design, plugin development, and session management.

Guides creation and execution of Ansible automation workflows for infrastructure configuration using playbooks and inventory files.

Guidelines for containerized projects using Docker, Dockerfile, and docker-compose, covering multi-stage builds, security, and deployment workflows.

Provides workflow guidelines for shell scripting, including linting with shellcheck and formatting with shfmt for bash scripts.

Provides best practices for structured logging, distributed tracing, and observability to enhance system debugging and performance monitoring across multiple languages.

Automates synchronization, organization, and best practices for .gitignore, .dockerignore, and .specstory files in version control and Docker build contexts.

Configures consistent development environments via Docker-based DevContainers with multi-stage builds, non-root users, and Docker-in-Docker support.

Deploys Python agents to AWS Bedrock AgentCore, configuring Runtime, Gateway, Memory, and Policy components for serverless hosting and troubleshooting.

Enables production monitoring, observability, SLO/SLI management, and incident response for reliable system operations.

Coordinates multi-component releases with feature flags, versioning, canary deployments, and rollback strategies for seamless software delivery.

Assists with creating CI/CD pipelines, automating infrastructure, and deploying containerized applications using Docker and Kubernetes.

Guides migration of NuxtHub projects through self-hosting configuration, GitHub Actions removal, and version upgrades to v0.10/nightly.

Assists with database administration tasks including performance tuning, backup/recovery, monitoring, and high availability configuration.

Configures scan-mcp MCP server by running preflight checks, installing dependencies, and setting up server configuration with user-specified inbox directory.