2. DevOps & Infrastructure

Enforces Test-Driven Development (TDD) by configuring pre-commit hooks and CI coverage gates for test-first workflows.

Enables rapid classification, severity assessment, and coordinated response for system incidents to reduce downtime.

Automates version bumping, changelog updates, and release PR creation for Kata releases.

Updates Databricks agent configuration in databricks.yml to add tools, resolve permission errors, and enable features like vector search and UC functions.

Deploys agents to Databricks Apps via DAB, resolving deployment errors and managing app bindings.

Provides a structured workflow for infrastructure capacity planning, including growth forecasting, scaling strategy, and resource provisioning decisions.

Automates creation of internal Operations update guides from Git diff analysis, supporting two modes and including commit log analysis.

Creates and updates Docker configuration, Docker Compose setup, and environment variables for local development and deployment readiness.

Structured workflow for planning infrastructure migrations including cloud transitions, technology upgrades, and data center transitions.

Provides a structured workflow for cloud cost optimization through rightsizing, reserved capacity planning, and FinOps practices.

Provides specialist operations agents for platform engineering, incident response, cloud cost optimization, infrastructure architecture, and security operations in production environments.

Validates correct implementation of observability features in code without writing observability code.

Provides a structured workflow for onboarding new services to the internal platform, including infrastructure provisioning and observability setup.

Provides a structured incident management workflow for production systems, covering declaration, triage, resolution, and post-mortem per SRE best practices.

Provides a structured workflow for disaster recovery planning, including RTO/RPO definition, strategy selection, and failover procedures.

Enforces verification command execution and output confirmation before declaring task success in workflow automation.

Performs a comprehensive 23-dimension production readiness audit covering security, operations, and quality, generating a scored report with severity ratings.

Manages monorepo workflows including build pipelines, caching, and workspace operations for efficient development and deployment.

Creates and manages containerized components with dynamic port allocation, retry policies, and isolated volumes for resilient deployments.

Creates production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets adhering to security best practices.

Optimizes cloud infrastructure costs via resource rightsizing, tagging strategies, reserved instances, and spending analysis for cost governance.

Defines and implements Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets for reliability measurement and SRE practices.

Enables request tracking across microservices using Jaeger and Tempo to identify performance bottlenecks and debug distributed systems.

Enables real-time monitoring and observability of database migrations and Change Data Capture (CDC) infrastructure.