Best Practices | Vibgrate
Industry best practices for software development and AI integration.
AWS Well-Architected Framework
A set of cloud design principles and check-lists for building secure, high-performing, resilient, and efficient workloads on AWS.
Azure Well-Architected Framework
Microsoft’s five-pillar guidance (reliability, security, cost, performance, ops) for designing and operating workloads on Azure.
Blue-Green Deployment Strategy
Operating two identical production environments to achieve zero-downtime releases and quick rollbacks.
CALMS DevOps Principles
Framework emphasising Culture, Automation, Lean, Measurement, and Sharing as pillars of DevOps success.
Canary Releases Best Practice Guide
Progressively rolling out new software to a small subset of users to minimise risk before full release.
Chaos Engineering Principles
Run controlled experiments to build confidence in system resilience under turbulent conditions.
CNCF Cloud-Native Definition & Principles
The CNCF’s formal definition of cloud-native computing and core principles for micro-services, containers, and dynamic orchestration.
CNCF Cloud-Native Security Whitepaper
Guidance on building, shipping, and running secure cloud-native applications.
Container Image Hardening Guide
Steps to build minimal, non-root, signed container images with SBOMs.
Continuous Modernization Playbook
Iterative roadmap for refactoring, re-platforming, and replacing legacy systems using automation and AI.
Contract-Driven Development with Pact
Consumer-driven contract testing methodology to ensure micro-service compatibility.
Conventional Commits Spec
Machine-readable Git commit messages enabling automated changelogs and semantic releases.
CycloneDX SBOM Specification
Lightweight Bill-of-Materials standard for software components, vulnerabilities, and licenses.
Data Mesh Principles
Domain-oriented, self-serve data infrastructure principles promoting product thinking for data.
dbt Style Guide
Community conventions for naming, structuring, and documenting dbt transformation projects.
DORA Four Key Metrics
Research-backed metrics (deployment frequency, lead time, MTTR, change failure rate) for high-performing software teams.
EU AI Act (Political Agreement)
First comprehensive regulatory framework for trustworthy AI in the European Union.
Feature Flag Best Practices
Operational guidelines for creating, managing, and retiring feature toggles safely.
FinOps Cloud Cost Best Practices
Shared responsibility model for cloud spend: Inform, Optimize, Operate phases.
GitOps Principles v1
Declarative, verifiable and automated operations — using Git as the single source of truth for infra and apps.
Google API Design Guide
Opinionated REST and gRPC design rules: resource-oriented URIs, plural nouns, pagination, errors.
Google Cloud Architecture Framework
Prescriptive guidance covering reliability, cost, performance, security, and operational excellence for GCP workloads.
Google Responsible AI Principles
Seven commitments guiding the ethical development and deployment of AI at Google.
Google Site Reliability Engineering Practices
Codified principles (error budgets, toil elimination, SLIs/SLOs) for operating large-scale services reliably.
Google Web Vitals
Core performance metrics (LCP, FID, CLS, INP) for measuring real-world user experience.
Helm Chart Best Practices
Recommendations for structure, naming, versioning, and values of Helm charts.
IBM Garage Methodology
End-to-end practices merging agile, DevOps, and design thinking for cloud transformation.
Infrastructure-as-Code Security Playbook
Best practices for securing Terraform, CloudFormation, and ARM templates in CI/CD pipelines.
ISO/IEC 27001:2022 Annex A Controls
Industry baseline for information-security policies and management controls.
Kubernetes Pod Security Standards
Baseline, restricted, and privileged policy levels for securing pod workloads.
Microsoft Responsible AI Standard v2
Company-wide governance framework translating principles into measurable requirements.
Microsoft REST API Guidelines
Cross-company REST consistency rules (nouns, verbs, versioning, errors).
NIST AI Risk Management Framework 1.0
Guidelines to integrate trustworthiness considerations into the design, development, and deployment of AI systems.
NIST Secure Software Development Framework (SSDF)
Guidelines for secure software development practices across the SDLC (SP 800-218).
OpenAI Safety & Alignment Best Practices
Mitigation strategies (RLHF, red-teaming, tiered access) for large language model deployment.
OpenTelemetry Instrumentation Guidelines
Best practices for generating consistent traces, metrics, and logs using OpenTelemetry.
OWASP Top 10 (2023)
The ten most critical web application security risks; updated community consensus.
Privacy by Design 7 Principles
Framework embedding privacy into systems engineering from the outset.
Production-Ready Micro-services Checklist
A checklist covering operability, reliability, deployability, and observability of micro-services.
RED & USE Monitoring Methodologies
Standard approaches for selecting golden signals (Rate-Errors-Duration / Utilisation-Saturation-Errors).
SAFe Continuous Delivery Pipeline
Scaled Agile Framework’s model for continuous exploration, integration, deployment, and release on demand.
Semantic Versioning 2.0.0
Consistent MAJOR.MINOR.PATCH versioning rules for APIs and packages.
Shift-Left Testing Manifesto
Encourages earlier testing (unit, security, performance) in the SDLC to catch defects sooner.
Strangler Fig Modernization Pattern
Incrementally replacing legacy systems by routing new functionality to a new service while ‘strangling’ the old.
Stripe API Versioning Policy
Backwards-compatible evolution strategy and pinned versions for API consumers.
Supply-chain Levels for Software Artifacts (SLSA)
End-to-end integrity guarantees for software supply-chain; defines levels 1-4.
Terraform Module Design Patterns
Guidelines for writing reusable, versioned, and documented Terraform modules.
Trunk-Based Development Guidelines
Branching strategy promoting short-lived branches, frequent commits to trunk, and feature flags.
Twelve-Factor App Methodology
Twelve practical guidelines for building modern, portable, cloud-ready web applications.
Zero Trust Architecture Principles (NIST SP 800-207)
Conceptual zero-trust model: continuous verification, least privilege, assume breach.