ping192.sbs Full Stack Terraform
⚑ Full stack Terraform demo · Live AWS provision

How ping192.sbs runs on AWS β€” infrastructure as code at scale

Left pane: the Terraform code. Middle: the live AWS provision. Right: the complete operational workflow β€” network, data, research pipeline, outreach, compliance, billing, and delivery. All three run in lockstep. πŸ“ž Call 702-728-1122 to get started β†’

Multi-AZ VPC RDS Β· Redis Β· S3 Lambda Β· SQS Amazon Connect WAF Β· KMS 702-728-1122
STEP 01
Network
VPC Β· 3 AZ
STEP 02
Data
RDS Β· Redis Β· S3
STEP 03
Research
Lambda Β· SQS
STEP 04
Outreach
Connect Β· Dialer
STEP 05
Compliance
TCPA Β· KMS
STEP 06
Billing
BTC Β· Invoices
πŸ“ž Call 702-728-1122 πŸ’¬ WhatsApp
Ready
main.tfΒ·Terraform code
# ping192.sbs β€” Full Stack AWS Infrastructure
# Terraform 1.6+ Β· Multi-AZ Β· Production Grade

terraform {
  required_version = ">= 1.6.0"
  required_providers {
    aws = { source = "hashicorp/aws", version = "~> 5.0" }
  }
  backend "s3" {
    bucket = "ping192-tfstate"
    key    = "prod/terraform.tfstate"
    region = "us-east-1"
    dynamodb_table = "ping192-tflock"
    encrypt = true
  }
}

# ─── NETWORK ─────────────────────────────────────
module "vpc" {
  source = "terraform-aws-modules/vpc/aws"
  name   = "ping192-prod"
  cidr   = "10.20.0.0/16"
  azs    = ["us-east-1a", "us-east-1b", "us-east-1c"]
  private_subnets  = ["10.20.1.0/24", "10.20.2.0/24", "10.20.3.0/24"]
  public_subnets   = ["10.20.101.0/24", "10.20.102.0/24", "10.20.103.0/24"]
  database_subnets = ["10.20.201.0/24", "10.20.202.0/24", "10.20.203.0/24"]
  enable_nat_gateway = true
  enable_flow_log    = true
}

# ─── DATA ────────────────────────────────────────
module "rds" {
  source = "terraform-aws-modules/rds/aws"
  identifier = "ping192-prod"
  engine     = "postgres"
  engine_version = "15.4"
  instance_class = "db.r6g.large"
  allocated_storage = 250
  storage_encrypted = true
  multi_az = true
  backup_retention_period = 14
}

resource "aws_elasticache_replication_group" "cc_cache" {
  replication_group_id = "ping192-cache"
  node_type = "cache.r6g.large"
  num_cache_clusters = 2
  at_rest_encryption_enabled = true
}

resource "aws_s3_bucket" "recordings" {
  bucket = "ping192-call-recordings"
}
resource "aws_s3_bucket" "invoices" {
  bucket = "ping192-invoices"
}

resource "aws_dynamodb_table" "contacts" {
  name = "ping192-contacts"
  billing_mode = "PAY_PER_REQUEST"
  hash_key = "contact_id"
  server_side_encryption { enabled = true }
}

# ─── RESEARCH PIPELINE ───────────────────────────
resource "aws_sqs_queue" "research_queue" {
  name = "ping192-research-queue"
  visibility_timeout_seconds = 300
  message_retention_seconds  = 86400
}

resource "aws_lambda_function" "enrichment" {
  function_name = "ping192-enrichment"
  runtime       = "python3.12"
  handler       = "enrich.handler"
  memory_size   = 1024
  timeout       = 120
    environment { variables = {
    APOLLO_KEY = "β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ"
    CLEARBIT_KEY = "β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ"
    LINKEDIN_COOKIE = "β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ"
  } }
}

resource "aws_lambda_function" "human_verification" {
  function_name = "ping192-human-verification"
  runtime       = "python3.12"
  memory_size   = 512
}

resource "aws_sqs_queue" "verification_queue" {
  name = "ping192-verification-queue"
}

resource "aws_comprehend_document_classifier" "intent" {
  name = "ping192-intent-v3"
  language_code = "en"
    data_access_role_arn = "arn:aws:iam::β–ˆβ–ˆβ–ˆβ–ˆ:role/β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ"
  model_kms_key_id     = "arn:aws:kms:...:key/β–ˆβ–ˆβ–ˆβ–ˆ"
}

# ─── OUTREACH / DIALER ───────────────────────────
resource "aws_connect_instance" "cc" {
  identity_management_type = "CONNECT_MANAGED"
  inbound_calls_enabled    = true
  outbound_calls_enabled   = true
  instance_alias           = "ping192-prod"
}

resource "aws_connect_queue" "outbound" {
  instance_id = aws_connect_instance.cc.id
  name        = "Outbound-SDR"
  description = "Outbound sales development reps"
  hours_of_operation_id = aws_connect_hours_of_operation.biz_hours.hours_of_operation_id
}

resource "aws_connect_hours_of_operation" "biz_hours" {
  instance_id = aws_connect_instance.cc.id
  name        = "Business Hours"
  time_zone   = "America/Puerto_Rico"
  config {
    start_time { hours = 8, minutes = 0 }
    end_time   { hours = 18, minutes = 0 }
    days_of_week = ["MONDAY","TUESDAY","WEDNESDAY","THURSDAY","FRIDAY"]
  }
}

resource "aws_connect_contact_flow" "dialer" {
  instance_id = aws_connect_instance.cc.id
  name        = "Outbound-Dialer"
  type        = "CONTACT_FLOW"
    content = jsonencode({
    Version = "2019-10-30"
    StartAction = "β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ"
    Actions = [ /* β–ˆβ–ˆβ–ˆβ–ˆ proprietary flow logic β–ˆβ–ˆβ–ˆβ–ˆ */ ]
  })
}

# ─── COMPLIANCE ──────────────────────────────────
resource "aws_kms_key" "cc_data" {
  description = "ping192 β€” PII + recording key"
  enable_key_rotation = true
  multi_region = true
}

resource "aws_wafv2_web_acl" "cc_waf" {
  name = "ping192-waf"
  scope = "REGIONAL"
  default_action { allow {} }
}

resource "aws_sns_topic" "tcpa_alerts" {
  name = "ping192-tcpa-alerts"
    subscription { protocol = "β–ˆβ–ˆβ–ˆβ–ˆ" endpoint = "β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ" }
}

resource "aws_lambda_function" "dnc_check" {
  function_name = "ping192-dnc-scrub"
  runtime       = "python3.12"
  memory_size   = 256
}

# ─── BILLING / INVOICING ─────────────────────────
resource "aws_lambda_function" "invoice_gen" {
  function_name = "ping192-invoice-gen"
  runtime       = "python3.12"
    environment { variables = {
    FROM_NAME    = "Tony - ping192"
    ADMIN_EMAIL  = "[email protected]"
    BTC_ADDRESS  = "1AgLVuvND7PtJhXowtKCPjagdZta3UQMas"
    SMTP_PASS    = "β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ"
  } }
}

resource "aws_ses_email_identity" "admin" {
  email = "[email protected]"
}

resource "aws_route53_record" "apex" {
  zone_id = "Z0P1NG192"
  name    = "ping192.sbs"
  type    = "A"
  alias {
    name    = aws_cloudfront_distribution.app.domain_name
    zone_id = aws_cloudfront_distribution.app.hosted_zone_id
  }
}

resource "aws_cloudfront_distribution" "app" {
  enabled = true
  aliases = ["ping192.sbs", "www.ping192.sbs", "app.ping192.sbs"]
}

# ─── OUTPUTS ─────────────────────────────────────
output "app_url"       { value = "https://ping192.sbs" }
output "api_endpoint"   { value = "https://api.ping192.sbs" }
output "connect_alias"  { value = aws_connect_instance.cc.instance_alias }
output "support_phone"  { value = "+1-702-728-1122" }
output "btc_address"    { value = "1AgLVuvND7PtJhXowtKCPjagdZta3UQMas" }
terminalΒ·terraform apply
$ terraform apply

Click "Run full demo" to begin.
Click any bubble to pause. Click again to resume.
Initializing
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app.ping192.sbsΒ·live workflow
P1
ping192.sbs
Full Stack Terraform
Verified 24h
πŸ“ž Call
Owner session Anonymous
Welcome to ping192.sbs
Full stack AWS infrastructure. Delivered as code.
πŸ” Multi-AZ VPCβœ“
πŸ‘€ RDS Β· Redis Β· S3 Β· DynamoDBβœ“
πŸ“ž Amazon Connect dialerβœ“
πŸ”’ WAF Β· KMS Β· TCPA complianceβœ“
Create your ping192 account
Owner Β· Step 1 of 4
Who are you trying to reach?
Target industry Β· Step 2 of 4
❄️ HVACβœ“
πŸ”§ Plumbingβœ“
🏠 Roofingβœ“
πŸ“Š RevOps / B2B SaaSβœ“
πŸ–₯️ IT / MSPβœ“
Where should we focus?
Geography Β· Step 3 of 4
Choose your package
Step 4 of 4 Β· Monthly recurring
πŸ“¦ Starter β€” $3,000/mo~300 contactsβœ“
πŸš€ Growth β€” $7,200/mo~700 contactsβœ“
⚑ Pro β€” $13,200/mo~1,100 contactsβœ“
🏒 Enterprise β€” $21,000/mo~1,500 contactsβœ“
Research pipeline is running
AI enrichment β†’ Human verification β†’ Queue
πŸ€– AI enrichmentRunning
Apollo Β· Clearbit Β· LinkedIn0 contacts
πŸ‘€ Human verificationQueued
ping192 researchers0 verified
πŸ“¦ Delivery to your hubQueued
Every 24 hours0 ready
Human researcher queue
ping192 team verifying each contact
Reviewerβ€”
Contactβ€”
LinkedIn matchβ€”
Phone validatedβ€”
DNC scrubβ€”
Verified badgeβ€”
βœ… Approveβœ“
Your intelligence hub
Fresh contacts delivered in last 24 hours
New contacts0
High-intent0
Warm0
Verified mobile0
Direct dials0
πŸ“Š Ready for outboundβœ“
Outbound agent Β· Amazon Connect
Predictive dialer Β· Auto-dial active
+1 (β€”) β€” β€”
β€”
Standby
Call duration0:00
Sentiment (Comprehend)β€”
Dispositionβ€”
Call outcome
Synced to CRM Β· Logged for audit
Contactβ€”
Outcomeβ€”
Next stepβ€”
Follow-upβ€”
CRM syncβ€”
Monthly invoice
BTC payment Β· Receipt emailed via SES
Invoice #β€”
Packageβ€”
Amountβ€”
BTC address1AgL...3UQMas
Receipt sent toβ€”
Statusβ€”
βœ“ Full workflow complete
ping192.sbs is live.
Your platform is deployed, your pipeline is running, and your dialer is active. First contacts delivered within 24 hours.
Full Stack Terraform Β· Real Infrastructure
Call 702-728-1122 or WhatsApp for onboarding

Why ping192.sbs runs on this AWS infrastructure

Left pane is code, middle is the provision, right is the full workflow β€” owner signup β†’ research pipeline β†’ human verification β†’ delivery β†’ dialer β†’ outcome β†’ invoice. All three run on one synchronized timeline.

Full AWS footprint infrastructure

  • Network: Multi-AZ VPC (3 AZs), private + database subnets, NAT gateways, VPC flow logs.
  • Data: RDS Postgres 15, ElastiCache Redis, S3 for recordings and invoices, DynamoDB for contacts.
  • Research pipeline: SQS queues + Lambda enrichment (Apollo, Clearbit, LinkedIn) + human verification Lambda.
  • AI/ML: Amazon Comprehend custom classifier for intent, sentiment, and disposition coding.
  • Outreach: Amazon Connect instance with custom outbound dialer, business hours, and queue config.
  • Compliance: Multi-region KMS, WAFv2, DNC scrub Lambda, TCPA alerts via SNS.
  • Billing: Lambda invoice generator (SES), Bitcoin address via env vars.
  • Delivery: CloudFront CDN + Route53 (ping192.sbs, app.ping192.sbs).

Data flow where data goes

  • Owner signup: Encrypted at rest in RDS. Password hashed with bcrypt. MFA enrolled.
  • Campaign config: Stored in DynamoDB with per-campaign KMS key. Sent to research queue as SQS message.
  • AI enrichment: Lambda invokes Apollo/Clearbit/LinkedIn with API keys from Secrets Manager. Nothing persisted in Lambda memory beyond invocation.
  • Human verification: Researcher sees decrypted contact, validates LinkedIn match, phone, DNC. Only the verified record is written back.
  • Delivery: Verified contacts land in the owner's hub (RDS + DynamoDB) with an audit trail for TCPA compliance.
  • Dialer: Amazon Connect pulls from the verified list, applies DNC scrub, logs every attempt to S3 + CloudWatch.
  • Outcome: Comprehend analyzes sentiment + intent from call transcript. Results sync to CRM via API.
  • Invoice: Lambda generates receipt, sends via SES with From: Tony - ping192, and records the BTC transaction reference.

Human-driven AI β€” the differentiator

ping192.sbs is built around a simple belief: AI handles the tedious work, humans build the relationships. The infrastructure reflects that.

  • The AI enrichment layer processes thousands of candidate contacts per campaign.
  • The human verification queue ensures every delivered contact has been personally reviewed.
  • The dialer connects live agents β€” never bots β€” to decision-makers, preserving the trust that matters in B2B.

Why some sections are blurred

The frosted PROPRIETARY blocks contain ping192.sbs's hardened parameters β€” API keys for enrichment providers, WAF rule priorities, TCPA alert destinations, and Bitcoin wallet details. The methodology is public; the specific operating parameters are not.

Ready to see this running on your own data?

ping192.sbs delivers full stack Terraform infrastructure in 24 hours. Call or WhatsApp now to activate your first campaign.