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CI Quality Gates Terraform Speculative Plan Docker & ECR Delivery Frontend CDN Delivery Launch Readiness Tests Passing AWS Architecture TypeScript Terraform License: MIT


floework logo

floework

Enterprise-Grade, Human-Aware SaaS Execution Platform
Decoupled Multi-AZ AWS Infrastructure · Fastify Modular Monolith on ECS Fargate · RDS PostgreSQL 16 · Amazon Bedrock AI · Real-Time WebSockets · SQS FIFO Workers

Production Launch Readiness (26/26 Certified) · Architecture Case Study · Resume & Interview Defense · Day-2 Runbook · Report an Issue


Overview

floework Platform Dashboard

floework is a modern collaborative execution platform engineered for high-velocity software engineering teams. Rather than relying on invasive screen tracking, shallow status counters, or fragmented spreadsheets, floework pairs real-time collaborative task execution with quantified focus sessions, directed acyclic graph (DAG) dependency intelligence, and executive AI summaries.

The platform has undergone a comprehensive, zero-downtime architectural evolution: transitioning from an early monolithic prototype into a production-hardened, decoupled cloud platform on Amazon Web Services (AWS) using Infrastructure as Code (Terraform), zero-lock Optimistic Concurrency Control (OCC), asynchronous FIFO queues, and keyless GitHub Actions OIDC pipelines.


Target Cloud Architecture

The floework platform runs on a Multi-AZ Virtual Private Cloud (VPC) designed according to the AWS Well-Architected Framework:

flowchart TD
    subgraph Client ["Client Perimeter"]
        SPA["React 18 SPA (Vite / TailwindCSS)"]
    end

    subgraph Edge ["AWS Edge & Public Ingress"]
        R53["Route 53 Hosted Zone\n(api.floework.internal / Apex)"]
        ACM["AWS Certificate Manager\n(Wildcard SSL/TLS)"]
        CF["CloudFront CDN + OAC\n(Static Assets & Cached Avatars)"]
        ALB["Application Load Balancer (ALB)\n(Port 80/443 SSL Termination)"]
        APIGW["API Gateway WebSocket API\n($connect / $disconnect / $default)"]
    end

    subgraph VPC ["Amazon VPC (10.0.0.0/16 - Multi-AZ: us-east-1a, us-east-1b)"]
        subgraph AppSubnets ["Private Application Subnets (10.0.10.0/24, 10.0.11.0/24)"]
            ECS1["ECS Fargate Task 1 (Port 3000)\nFastify Modular Monolith"]
            ECS2["ECS Fargate Task 2 (Port 3000)\nFastify Modular Monolith"]
            AutoScaler["Target Tracking Auto-Scaler\n(CPU 70% / RAM 80%)"]
            Worker["SQS Background Worker Pool\n(Long Polling & Exponential Backoff)"]
        end

        subgraph DataSubnets ["Private Isolated Data Subnets (10.0.20.0/24, 10.0.21.0/24)"]
            RDS[("Amazon RDS PostgreSQL 16\n(Multi-AZ Standby, gp3, KMS Encrypted)")]
            Redis[("Amazon ElastiCache Redis\n(Distributed Rate Limiting & Pub/Sub)")]
            DDB[("Amazon DynamoDB\n(WebSocket Connection Registry with TTL)")]
        end
    end

    subgraph AWSNative ["AWS Managed Services Tier"]
        S3[("Amazon S3 Private Storage\n(Block Public Access, AES-256)")]
        SQS["Amazon SQS FIFO Queues\n(focus-completion, audit-logs, notifications)"]
        DLQ["Dead-Letter Queues (DLQs)\n(maxReceiveCount=3, 14-day retention)"]
        Bedrock["Amazon Bedrock Runtime\n(Claude 3 Haiku / Claude 3.5 Sonnet)"]
        SES["Amazon SES Transactional Email\n(Verified Identity & Invite Templates)"]
        CW["Amazon CloudWatch (7 Metric Alarms)\n+ Amazon SNS Alert Bus"]
        Secrets["AWS Secrets Manager & SSM Parameter Store\n(KMS Customer Managed Key)"]
    end

    SPA -->|HTTPS| CF
    SPA -->|REST API / SigV4 Uploads| ALB
    SPA -->|WSS Heartbeat / Presence| APIGW

    ALB -->|Forward /health| ECS1 & ECS2
    APIGW -->|Persist connectionId| DDB
    APIGW -->|WebSocket Events| ECS1

    ECS1 & ECS2 -->|Port 5432 Ingress| RDS
    ECS1 & ECS2 -->|Port 6379 Ingress| Redis
    ECS1 & ECS2 -->|SigV4 Presigned URLs| S3
    ECS1 & ECS2 -->|Enqueue FIFO Events| SQS
    ECS1 & ECS2 -->|InvokeModel| Bedrock
    ECS1 & ECS2 -->|SendEmail| SES
    ECS1 & ECS2 -->|Structured JSON Logs| CW

    SQS -->|Consume Batch| Worker
    Worker -->|Failed > 3| DLQ
    Worker -->|Compute Metrics| RDS
Loading

Core Architectural Pillars

1. Zero-Lock Optimistic Concurrency Control (OCC)

  • Eliminates destructive database row locks during high-frequency collaborative sprint planning.
  • Every task mutation enforces version = client_version sequencing.
  • Conflicting writes instantly return HTTP 409 Conflict (STALE_UPDATE), log structured audit metadata to concurrency_conflicts, and trigger client-side randomized jitter reconciliation (50–200ms).

2. High-Throughput Real-Time WebSockets

  • Replaced monolithic server-bound sockets with Amazon API Gateway WebSockets backed by Amazon DynamoDB connection registry.
  • Supports high-frequency presence pulses (In Focus, Available) and Kanban column drags without server memory leakage.
  • Workspace-level fan-out achieved in < 5ms via Amazon ElastiCache Redis Pub/Sub.

3. Asynchronous FIFO Decoupling & Background Workers

  • Critical path HTTP requests (such as deep work session completions) offload heavy stability scoring to Amazon SQS FIFO queues (focus-completion.fifo, audit-logs.fifo, notifications.fifo).
  • Handlers respond immediately with HTTP 202 Accepted (< 15ms response latency).
  • Resilient worker processes leverage 20-second long polling and automated routing to Dead-Letter Queues (DLQ) after 3 failed attempts.

4. Zero-Data-Loss Cloud Migration & Reverse Replication

  • Automated delta synchronization engine (scripts/cutover_delta_sync.mjs) replays records in strict topological dependency order across all 7 core domain tables.
  • Employs transactional idempotency (ON CONFLICT (id) DO UPDATE) and SHA-256 checksum digests.
  • Supports reverse replication mode (--reverse) providing a 48-hour safety net during cutover.

5. Keyless GitHub Actions CI/CD via AWS OIDC Federation

  • Workflows authenticate to AWS using short-lived tokens via AWS STS (AssumeRoleWithWebIdentity) bound to repo:Atharva-Mendhulkar/floework:*.
  • Zero static AWS Access Keys (AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY) stored in GitHub Secrets.
  • Automated container builds with Docker Buildx, Trivy vulnerability scanning, and push to Amazon ECR.

6. Execution Intelligence Graph (DAG Cycle Detection)

  • Powers Floework's @xyflow/react Execution Intelligence Graph.
  • Server-side 3-color topological DFS (UNVISITED, VISITING, VISITED) rejects self-loops and circular dependencies (A -> B -> A or transitive A -> B -> C -> A) with HTTP 400 Circular dependency detected.
  • Features real-time downstream blocker cascade calculation and critical path identification.

7. FinOps & Continuous Cost Optimization Governance

  • Declarative cost control layer managed via terraform/modules/finops/ with multi-tier AWS Budgets (50%, 80%, 100% actual + 100% forecasted) routing alerts to the SNS operational bus.
  • AWS Cost Anomaly Detection running dimensional service monitors with $10 (staging) / $20 (production) root-cause impact triggers.
  • Automated FinOps CLI audit engine (scripts/finops_cost_audit.mjs) evaluating idle resources, unattached storage, NAT Gateway consolidation, and baseline run-rates:
$ node scripts/finops_cost_audit.mjs --multi-az-nat

Flowework AWS FinOps Audit
==========================

Environment: staging

NAT Gateways:              2
RDS instances:             1
ECS services:              2
ElastiCache clusters:      1
Unattached EBS volumes:    0
Unassociated EIPs:         0

Potential optimizations:
- NAT Gateway consolidation: HIGH
- Redis idle utilization:    MEDIUM
- RDS sizing review:         MEDIUM
- S3 storage lifecycle tiering: LOW

Budget:
Current monthly budget:     $50.00 USD
Alert thresholds:           50 / 80 / 100%
Estimated monthly run-rate: $166.13 (332% of budget)
Cost Anomaly Monitor:       ACTIVE ($10.00 threshold -> SNS)

8. Production Launch Readiness & Day-2 Operations Certification

$ node scripts/production_readiness_audit.mjs

==============================================================================
Floework Production Launch Readiness Certification
STATUS: Production Launch Readiness: CERTIFIED BY CONFIGURATION AND VALIDATION
==============================================================================

Overall Readiness Score: 100% (26/26 controls certified)

Monorepo Directory Structure

floework/
├── .github/
│   └── workflows/
│       ├── ci.yml                    # Automated quality gate (99 tests across Node 20 & 22)
│       ├── terraform-ci.yml          # IaC formatting check, validation & speculative plan
│       ├── docker-ecr.yml            # Docker Buildx, Trivy CVE scan & Amazon ECR publish
│       ├── deploy-frontend.yml       # React SPA build, S3 asset sync & CloudFront CDN invalidation
│       └── production-cutover.yml    # Automated cutover, synthetic validation & rollback pipeline
├── api/                              # Fastify Modular Monolith Application
│   ├── _lib/                         # Shared core libraries & AWS adapters
│   │   ├── auth.ts                   # Stateless JWT auth guard with request memoization
│   │   ├── cors.ts                   # Strict origin CORS whitelist engine
│   │   ├── dag.ts                    # 3-color topological DFS DAG cycle detector
│   │   ├── jwt.ts                    # RS256/HS256 local cryptographic JWT verifier
│   │   ├── logger.ts                 # Pino structured JSON correlation logger (X-Trace-Id)
│   │   ├── rateLimit.ts              # Redis distributed sliding-window rate limiter
│   │   ├── realtime.ts               # Redis Pub/Sub & WebSocket event broadcaster
│   │   ├── ses.ts                    # Amazon SES transactional email client
│   │   ├── sqs.ts                    # Amazon SQS FIFO client & event partitioner
│   │   └── storage.ts                # Amazon S3 SigV4 presigned URL generator
│   ├── analytics/                    # AI narrative synthesis & Amazon Bedrock adapter
│   ├── billing/                      # Stripe subscription webhook cryptographic handler
│   ├── focus/                        # Asynchronous focus completion endpoint (HTTP 202)
│   ├── storage/                      # Presigned upload & download URL endpoints
│   ├── tasks/                        # Tasks CRUD, OCC mutations & DAG dependencies
│   ├── workspaces/                   # Workspace management, membership & SES invites
│   └── server.ts                     # Modular monolith HTTP server with health probes
├── apps/
│   └── web/                          # React 18 SPA (Vite + TailwindCSS + @xyflow/react)
│       ├── src/components/           # UI components & MaintenanceBanner
│       ├── src/services/             # AWS WebSocket & S3 Storage dual-mode services
│       └── src/store/                # Redux state & API client layer
├── docs/
│   ├── PRODUCTION_LAUNCH_READINESS_REPORT.md # Executive launch certification & tradeoff registry
│   ├── DAY_2_OPERATIONS_RUNBOOK.md   # Standard operating procedures (deploy, rollback, failover)
│   ├── INCIDENT_RESPONSE_PLAYBOOK.md # 6-stage incident lifecycle & blameless RCA templates
│   ├── PRODUCTION_CUTOVER_RUNBOOK.md # Zero-downtime cutover & 48-hour rollback runbook
│   ├── DISASTER_RECOVERY_RUNBOOK.md  # Multi-AZ failover, PITR restoration & cross-region DR
│   ├── SECURITY_AND_COMPLIANCE.md    # CIS Benchmark, SOC 2 Type II controls & audit policies
│   ├── CHAOS_AND_RESILIENCY_PLAYBOOK.md # Fault injection, SLO error budgets & GameDay drills
│   └── FINOPS_AND_COST_OPTIMIZATION.md # Cloud spend control, AWS Budgets & idle cost governance
├── scripts/
│   ├── production_readiness_audit.mjs # Automated 11-domain launch readiness certification engine
│   ├── finops_cost_audit.mjs         # Automated cloud spend, idle resource & budget audit engine
│   ├── chaos_resiliency_test.mjs     # Automated chaos engineering & latency SLA engine
│   ├── security_compliance_audit.mjs # Automated CIS Benchmark v3.0 audit engine
│   ├── dr_backup_restore.mjs         # Automated disaster recovery validation & PITR engine
│   ├── production_cutover.mjs        # 6-stage production cutover orchestrator & rollback
│   ├── run_migrations.mjs            # Automated transactional database migration runner
│   ├── cutover_delta_sync.mjs        # Zero-data-loss delta sync engine with --reverse
│   ├── migrate_storage_to_s3.mjs     # Automated S3 asset migration utility
│   ├── smoke_test_e2e.mjs            # Synthetic end-to-end multi-surface smoke tester
│   └── seed_edges.mjs                # Dependency graph seeding script
├── database/
│   └── migrations/                   # PostgreSQL schema migrations (42 files: 000 through 040)
├── terraform/                        # Infrastructure as Code (HashiCorp Terraform v1.9.5)
│   ├── environments/
│   │   ├── staging/                  # Staging composition (17 modules wired together)
│   │   └── production/               # Production HA composition (19 modules, multi-AZ, WAF v2, compliance, finops)
│   └── modules/
│       ├── alb/                      # Application Load Balancer & target groups
│       ├── auth/                     # Amazon Cognito User Pool & SPA client
│       ├── cache/                    # Amazon ElastiCache Redis replication group
│       ├── ci_cd/                    # GitHub Actions OIDC provider, IAM deployment roles & ECR
│       ├── compliance/               # AWS CloudTrail, S3 compliance audit bucket & AWS Config
│       ├── compute/                  # ECS Fargate cluster, API & SQS worker services, migration task & auto-scaling
│       ├── database/                 # Amazon RDS PostgreSQL 16 Multi-AZ instance
│       ├── dns/                      # Route 53 public zone, alias records & ACM SSL
│       ├── email/                    # Amazon SES verified identity & sending policies
│       ├── finops/                   # AWS Budgets (50/80/100%), Cost Anomaly Detection & SNS alerts
│       ├── frontend/                 # S3 private static hosting & CloudFront CDN with OAC and SPA routing
│       ├── networking/               # Multi-AZ VPC, subnets, route tables & NAT gateway
│       ├── observability/            # CloudWatch metric alarms & Amazon SNS alert bus
│       ├── queue/                    # Amazon SQS FIFO queues, DLQs & IAM policies
│       ├── realtime/                 # API Gateway WebSocket API & DynamoDB table
│       ├── secrets/                  # SSM Parameter Store standard parameter hierarchy
│       ├── security/                 # KMS Customer Managed Key (CMK) & security groups
│       ├── storage/                  # Amazon S3 private storage bucket & CloudFront OAC
│       └── waf/                      # Regional AWS WAF v2 Web ACL & Layer 7 rate limiting
├── test/
│   └── api/                          # Comprehensive API behavioral test suite (225 tests)
├── workers/
│   └── sqs-worker.ts                 # Resilient SQS FIFO background processing worker
├── Dockerfile                        # Multi-stage hardened Node 20 Alpine container
└── package.json                      # Monorepo scripts & dependencies

Verification & Testing Matrix

Every module, endpoint, and architectural invariant is verified by automated test suites with 100% pass rates:

┌────────────────────────────────────────────────────────────────────────────────────────┐
│                                 AUTOMATED TEST MATRIX                                  │
├──────────────────────────────┬────────────────────────────┬─────────────┬──────────────┤
│ Test Suite                   │ Target Layer               │ Tests       │ Result       │
├──────────────────────────────┼────────────────────────────┼─────────────┼──────────────┤
│ test/api/security_phase1     │ OCC Patching & Anti-Spoof  │ 15 tests    │ ✓ Passed     │
│ test/api/server_phase4       │ Fastify Server & Probes    │ 4 tests     │ ✓ Passed     │
│ test/api/auth_phase5         │ JWKS Verification & CORS   │ 11 tests    │ ✓ Passed     │
│ test/api/realtime_phase6     │ WebSocket Registry & PubSub│ 6 tests     │ ✓ Passed     │
│ test/api/storage_phase7      │ S3 Presigned URLs & OAC    │ 15 tests    │ ✓ Passed     │
│ test/api/sqs_phase8          │ SQS FIFO Queues & Worker   │ 13 tests    │ ✓ Passed     │
│ test/api/observability_phase9│ JSON Logs & Metric Alarms  │ 10 tests    │ ✓ Passed     │
│ test/api/cutover_phase10     │ Delta Sync & Smoke Harness │ 6 tests     │ ✓ Passed     │
│ test/api/saas_phase11        │ SES Email, DAG & Stripe    │ 15 tests    │ ✓ Passed     │
│ test/api/migrations_runner   │ Checksums, Shim & Runner   │ 15 tests    │ ✓ Passed     │
│ test/api/compute_phase15     │ ECS Fargate, Worker & CD   │ 22 tests    │ ✓ Passed     │
│ test/api/frontend_phase16    │ S3, CloudFront OAC & SPA   │ 17 tests    │ ✓ Passed     │
│ test/api/cutover_phase17     │ Live Verification & DNS    │ 18 tests    │ ✓ Passed     │
│ test/api/production_phase18  │ WAF v2, Prod HA & DR       │ 16 tests    │ ✓ Passed     │
│ test/api/compliance_phase19  │ CIS Benchmark & CloudTrail │ 17 tests    │ ✓ Passed     │
│ test/api/resiliency_phase20  │ Chaos, Fallback & SLOs     │ 13 tests    │ ✓ Passed     │
│ test/api/finops_phase21      │ Cost Budgets & Anomaly     │ 12 tests    │ ✓ Passed     │
│ test/api/readiness_phase22   │ Launch Readiness & Day-2   │ 11 tests    │ ✓ Passed     │
│ apps/web (Frontend Tests)    │ React Components & Hooks   │ 4 tests     │ ✓ Passed     │
├──────────────────────────────┼────────────────────────────┼─────────────┼──────────────┤
│ TOTAL AUTOMATED TESTS        │ Full Monorepo Coverage     │ 240 tests   │ 100% Passed  │
├──────────────────────────────┼────────────────────────────┼─────────────┼──────────────┤
│ Terraform Staging Validation │ 17 Infrastructure Modules  │ 106 to add  │ Clean Plan   │
│ Terraform Production Valid.  │ 19 Infrastructure Modules  │ 125 to add  │ Clean Plan   │
└──────────────────────────────┴────────────────────────────┴─────────────┴──────────────┘




Getting Started

Prerequisites

  • Node.js: v20.x or v22.x
  • npm: v10.x or newer
  • Terraform: v1.9.5 or newer (for infrastructure operations)
  • Docker: For local container builds and execution

1. Installation

Clone the repository and install all dependencies:

git clone https://github.com/Atharva-Mendhulkar/floework.git
cd floework
npm install

2. Environment Configuration

Copy the environment template and configure your parameters:

cp .env.example .env.local

Key environment variables:

# Application Configuration
NODE_ENV=development
PORT=3000
AWS_REGION=us-east-1

# Identity & Auth
COGNITO_USER_POOL_ID=us-east-1_example
COGNITO_CLIENT_ID=exampleclientid
JWT_SECRET=your-development-jwt-secret-min-32-chars

# Database & Caching
DB_HOST=localhost
DB_PORT=5432
DB_NAME=floework
DB_USER=floework_admin
REDIS_HOST=localhost
REDIS_PORT=6379

# Amazon S3 & Object Storage
S3_STORAGE_BUCKET=floework-staging-storage-us-east-1
CLOUDFRONT_DOMAIN=d1234567890.cloudfront.net

# Amazon Bedrock AI
BEDROCK_REGION=us-east-1
BEDROCK_MODEL_ID=anthropic.claude-3-haiku-20240307-v1:0

3. Available NPM Scripts

Command Description
npm run test:api Run all 236 backend API behavioral unit and integration tests
npm run test:web Run frontend React unit and component tests with Vitest (4 tests)
npm run test Run complete monorepo test suite (240 / 240 tests passing, 100% pass rate)
npm run start Start the modular monolith Fastify API server locally
npm run worker Launch the Amazon SQS FIFO background processing worker
npm run build Build the production React SPA bundle into apps/web/dist/
npm run smoke Execute synthetic end-to-end smoke tests against API & CDN endpoints
npm run sync Run zero-data-loss database delta synchronization
npm run cutover Execute automated 6-stage production cutover and DNS switchover
npm run cutover:dry-run Rehearse production cutover sequence in simulated dry-run mode
npm run dr:test Run automated disaster recovery readiness and SLA compliance audit
npm run dr:dry-run Rehearse disaster recovery evaluation in simulated dry-run mode
npm run compliance:audit Run automated CIS AWS Foundations Benchmark compliance audit
npm run compliance:dry-run Rehearse security compliance evaluation in simulated dry-run mode
npm run chaos:test Run automated chaos fault injection and latency percentile SLA suite
npm run chaos:dry-run Rehearse chaos engineering scenarios in simulated dry-run mode
npm run finops:audit Run automated cloud spend, idle resource & budget compliance audit
npm run finops:dry-run Rehearse FinOps cost evaluation in simulated dry-run mode
npm run readiness:audit Run automated 11-domain production launch readiness certification
npm run readiness:dry-run Rehearse launch readiness evaluation in simulated dry-run mode
npm run migrate:db Execute pending PostgreSQL migrations with transactional tracking
npm run migrate:status Inspect applied vs pending migration status across all 42 migrations
npm run migrate:dry-run Preview pending migrations without applying changes
npm run migrate:s3 Migrate media assets from source storage to private S3

Infrastructure as Code (Terraform)

All AWS infrastructure is declaratively managed under terraform/.

Validating & Planning Infrastructure

# Check canonical formatting
terraform fmt -check -recursive terraform/

# Validate configuration across all 15 modules
terraform -chdir=terraform/environments/staging validate

# Run a read-only speculative plan against live AWS credentials
terraform -chdir=terraform/environments/staging plan -no-color

Cost Optimization & Safety Policies

  • Zero Idle Spend in Staging: Multi-AZ NAT Gateways and expensive managed instances default to single-AZ or micro sizes (cache.t4g.micro, db.t4g.small).
  • Secret Safety: No hardcoded API keys or master passwords in Terraform state. Database credentials rotate automatically via AWS Secrets Manager.
  • Speculative Plan Safety: All CI pull request jobs execute in read-only speculative mode using least-privilege IAM roles.

Architectural Roadmap (All 22 Phases Completed & Certified)

MVP ➔ AWS Architecture ➔ Security ➔ High Availability ➔ Disaster Recovery ➔ Chaos Engineering ➔ CI/CD + OIDC ➔ Container Security ➔ FinOps ➔ Day-2 Operations ➔ FINAL
  • Phase 1: P0 Security & Concurrency Correctness
    • OCC version checks, anti-spoofing guards, and 256-bit cryptographic invite tokens.
  • Phase 2: AWS Foundation Infrastructure
    • Multi-AZ VPC (public, private app, private data subnets), KMS Customer Managed Key, and SSM Parameter Store.
  • Phase 3: Database Tier & Bedrock AI
    • Amazon RDS PostgreSQL 16 Multi-AZ, schema replay shim, and Amazon Bedrock Claude Haiku integration.
  • Phase 4: Backend Compute Migration & Distributed Caching
    • Fastify modular monolith container, ECS Fargate service, ALB ingress, and ElastiCache Redis rate limiting.
  • Phase 5: Auth & Session Hardening
    • Amazon Cognito User Pool, local RS256 JWKS verification, and strict origin-based CORS engine.
  • Phase 6: Real-Time Communication Cutover
    • API Gateway WebSockets, DynamoDB connection registry, and Redis Pub/Sub multi-container event fan-out.
  • Phase 7: Object Storage Migration
    • Private Amazon S3 bucket, CloudFront Origin Access Control (OAC), and authenticated SigV4 presigned URLs.
  • Phase 8: Asynchronous SQS FIFO & Worker Pools
    • 3 SQS FIFO queues (focus-completion, audit-logs, notifications), Dead-Letter Queues, and long-polling worker.
  • Phase 9: Observability & APM Telemetry
    • 7 CloudWatch metric alarms, Amazon SNS alert bus, Pino structured JSON correlation logger (X-Trace-Id), and deep health probes.
  • Phase 10: Production Cutover & DNS
    • Route 53 public hosted zones, wildcard ACM SSL certificates, zero-data-loss delta sync engine, and smoke test harness.
  • Phase 11: SaaS Feature Expansion
    • Amazon SES transactional email dispatch, server-side 3-color topological DAG cycle detection, and Stripe billing webhooks.
  • Phase 12: Automated CI/CD Pipelines & AWS OIDC Federation
    • GitHub Actions automated quality gates, keyless AWS OIDC authentication, Trivy security scanning, and Amazon ECR publishing.
  • Phase 13: Automated Transactional Database Migration Runner
    • 42 schema migrations, zero-version drift checksum tracking, and zero-downtime execution (scripts/run_migrations.mjs).
  • Phase 14: Zero-Data-Loss Live Database Cutover & Delta Sync Engine
    • Topological table dependency replay across 7 multi-tenant tables, UPSERT idempotency, and 48-hour reverse replication safety (scripts/cutover_delta_sync.mjs).
  • Phase 15: Production ECS Fargate Task Definition, Worker Pool & Continuous Deployment
    • High-availability ECS Fargate services, CPU/RAM target tracking auto-scalers, CloudWatch container logging, and automated rolling CD workflows (deploy-ecs.yml).
  • Phase 16: Frontend Static Hosting with Amazon S3, CloudFront OAC, SPA Routing & CDN CI/CD
    • S3 private static hosting, CloudFront Origin Access Control, custom error response SPA routing (403/404 -> 200 /index.html), and automated cache invalidation pipeline (deploy-frontend.yml).
  • Phase 17: Production Cutover Checklist, Live Environment Verification & DNS Cutover Automation
    • Multi-surface synthetic smoke testing across API and CloudFront edge CDN, automated Route 53 DNS switchover orchestrator, automated 48-hour rollback engine with reverse delta replication, and ACM certificate automated DNS validation (scripts/production_cutover.mjs, docs/PRODUCTION_CUTOVER_RUNBOOK.md, production-cutover.yml).
  • Phase 18: Production Infrastructure Hardening, AWS WAF v2 Perimeter Defense, Multi-AZ High Availability & Disaster Recovery Runbook
    • Regional AWS WAF v2 Web ACL associated with ALB (OWASP Top 10, IP reputation, rate limiting), 17-module production composition (terraform/environments/production), multi-AZ redundant NAT Gateways, RDS PostgreSQL 16 Multi-AZ standby with 30-day retention and deletion protection, Redis HA failover, and automated Disaster Recovery validation (scripts/dr_backup_restore.mjs, docs/DISASTER_RECOVERY_RUNBOOK.md).
  • Phase 19: Enterprise Security Governance, AWS CloudTrail, AWS Config Continuous Compliance & Automated CIS Benchmark Auditing
    • Multi-region AWS CloudTrail with cryptographic log file integrity validation, dedicated 365-day compliance S3 audit bucket, AWS Config continuous resource recording & managed rules, automated CIS AWS Foundations Benchmark assessment engine (100% pass rate – 21/21 checks), and SOC 2 Type II trust mapping (scripts/security_compliance_audit.mjs, docs/SECURITY_AND_COMPLIANCE.md).
  • Phase 20: Chaos Engineering, Automated Resiliency Testing & Service Level Objective (SLO) Verification Harness
    • 5 chaos fault injection scenarios (Redis partition, Bedrock circuit breaker, transient DB retry with exponential backoff, SQS poison pill DLQ isolation, concurrency burst), mathematical latency percentile engine (p50/p90/p95/p99), and operational GameDay playbook (scripts/chaos_resiliency_test.mjs, docs/CHAOS_AND_RESILIENCY_PLAYBOOK.md).
  • Phase 21: FinOps, AWS Budgets & Continuous Cost Optimization Governance
    • Declarative cost control layer with multi-tier AWS Budgets (50%, 80%, 100% actual + forecasted), AWS Cost Anomaly Detection with SNS operational alert bus, S3 Intelligent-Tiering and Glacier IR lifecycle transitions, automated FinOps audit engine (scripts/finops_cost_audit.mjs), and comprehensive cost governance playbook (docs/FINOPS_AND_COST_OPTIMIZATION.md).
  • Phase 22: Production Launch Readiness & Day-2 Operations Certification
    • Final engineering consolidation certifying all 21 preceding phases under an auditable 11-domain launch readiness matrix (scripts/production_readiness_audit.mjs), comprehensive Day-2 operations runbook covering 11 critical operational procedures (docs/DAY_2_OPERATIONS_RUNBOOK.md), structured 6-stage incident response lifecycle (docs/INCIDENT_RESPONSE_PLAYBOOK.md), and definitive launch certification report (docs/PRODUCTION_LAUNCH_READINESS_REPORT.md).

Contributing

Contributions are welcome! Please follow these steps:

  1. Fork the repository.
  2. Create a feature branch: git checkout -b feature/my-feature.
  3. Verify all automated tests pass: npm run test:api && npm run test:web.
  4. Commit your changes with a conventional commit message.
  5. Push to your branch and open a Pull Request.

License

Distributed under the MIT License. See LICENSE for details.

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floework is a human-aware execution platform for focused teams, linking task-level focus sessions with real-time progress and analytics to make effort visible, reduce burnout, and explain why work moves or stalls without invasive monitoring

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