2. DevOps & Infrastructure

Provides best practices for Bitbucket pull requests, CI/CD pipelines, and Jira integration in Atlassian workflows.

Provides best practices for Netlify deployment, including serverless functions, edge functions, build configuration, and deployment workflows.

Provides guidelines for Azure cloud infrastructure development, including ARM templates, Azure Pipelines, and Kubernetes for cloud-native applications.

Expert guidance on Kubernetes cluster management, infrastructure-as-code implementation, and cloud-native architecture for scalable DevOps operations.

Provides best practices for structured logging, log levels, and centralized log management in application deployments.

Guidelines for building scalable serverless and microservices architectures using cloud-native patterns, API gateways, and FastAPI best practices.

Provides GitLab best practices for merge requests, CI/CD pipelines, and issue tracking to streamline DevOps operations.

Provides guidelines for application and infrastructure monitoring, including metrics collection, alerting strategies, and SLO-based approaches.

Provides secure, portable, and error-handled bash scripting guidelines for DevOps automation workflows and system operations.

Guides best practices for GitHub workflows including pull requests, code reviews, issue management, and Actions configuration.

Guides Salesforce DX development with source-driven workflows and CI/CD implementation for streamlined deployment and version control.

Provides best practices for implementing observability in distributed systems using OpenTelemetry for tracing, metrics, and structured logging.

Provides comprehensive DevOps engineering for Kubernetes, CI/CD pipelines, Bash scripting, Ansible automation, and cloud infrastructure management.

Expert assistance with Terraform for designing, deploying, and managing cloud infrastructure as code with scalable deployment patterns.

Provides best practices for building automated CI/CD pipelines, deployment strategies, and testing workflows across cloud platforms.

Provides AWS serverless development best practices using Infrastructure as Code for Lambda, SAM, CDK, and DynamoDB.

Coordinates multi-step workflows across skills with execution plans, state tracking, and rollback capabilities for reliable task orchestration.

Automates Supabase Edge Function deployment and database migration workflows for Lovable.dev projects, enabling operations beyond GitHub sync.

Enables comprehensive observability for service meshes via distributed tracing, metrics, and visualization to monitor, debug, and enforce SLOs in service communication.

Configures Istio service mesh for advanced traffic management, including routing, load balancing, and canary deployments to enable resilient and progressive delivery.

Provides implementation patterns for Linkerd service mesh, including traffic policies and zero-trust networking in Kubernetes environments.

Provides structured patterns for on-call shift handoffs, including context transfer, escalation procedures, and documentation to ensure system reliability.

Configures Sentry error monitoring for React Native and Expo applications using a CLI wizard.

Enables performance monitoring with Sentry tracing for JavaScript, Python, and Ruby projects, tracking transactions and latency.