DevOps

Journey RLS installs row-level security policies for Butterbase user-owned tables during the guided build flow. Use it after schema planning or when the journey reaches the RLS stage, and it can fold into the schema stage in hackathon mode.

Maestro Fork creates or syncs a session-level git worktree for parallel development. Use it to branch from a base ref, copy shared workflow files, and update scoped session artifacts.

Maestro Merge merges a session worktree branch back into main, then syncs Run artifacts and reconciles the artifact registry. Use it when finishing a session merge with required Git and artifact checks.

API Versioning Patterns defines versioning strategies, breaking-change checks, deprecation phases, and migration guide structure for APIs. Use it when you need to ship compatible changes and retire old versions safely.

AWS Patterns covers Lambda best practices, S3 event handling, SQS/SNS fanout, and DynamoDB single-table access patterns for serverless AWS workloads. Use it when designing or reviewing managed-service backend architectures.

AWS Patterns provides decision frameworks and implementation patterns for choosing AWS services and designing cloud architectures. Use it when selecting compute, storage, or database services, or applying Well-Architected principles.

Azure Patterns designs Azure cloud architectures using service selection, security, governance, and cost best practices. Use it when building new Azure applications or migrating workloads to Azure.

Building CI Pipelines constructs secure, efficient CI/CD workflows for testing, building, and deployment. Use it to choose and optimize pipelines in GitHub Actions, GitLab CI, Argo Workflows, or Jenkins, including SLSA, caching, and monorepo patterns.

Configuring Firewalls guides host, cloud, and Kubernetes firewall rules for common access patterns like web servers, databases, and bastion hosts. Use it when hardening servers, exposing services, or segmenting networks without locking yourself out.

Configuring Nginx provides production-ready patterns for static sites, reverse proxies, load balancing, SSL/TLS termination, caching, and performance tuning. Use it when setting up web servers, application proxies, or load balancers with modern security settings.

Deploying Applications covers Kubernetes, serverless, containers, and edge deployment patterns. Use it when setting up CI/CD, GitOps, or infrastructure as code for production apps.

Deploying On GCP helps choose and implement Google Cloud services for apps, data pipelines, and ML workflows. Use it when designing cloud-native architectures with Cloud Run, GKE, BigQuery, Vertex AI, and related GCP tools.