sudiviz 0.3.2

Sufficient visibility into cloud infrastructure failures — live AWS topology + Terraform drift in one CLI.

🔬 sudiviz

X-ray vision for your cloud infrastructure

sudiviz visualizes your live cloud infrastructure as an interactive graph — terminal, web, or PNG. It auto-detects misconfigurations, unhealthy targets, and orphan resources, then generates one-click fixes. 🚀 Zero AI tokens. 💸 Zero operational cost. 🐍 Pure Python.

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  X-ray vision for your cloud infrastructure

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📸 Screenshots

🌐 Web Visualization

Interactive graph with live updates, node inspection, orphan detection (red dashed), and one-click AWS Console access.

🖥️ Terminal TUI

Full-featured terminal UI with keyboard navigation, health status, and orphan highlighting.

💻 Diagnose

Instant topology view + diagnosis table showing issues by severity.

🔧 Auto-Fix (Preview)

See exactly what will be fixed before applying — with AWS CLI commands included.

⚡ Auto-Fix (Apply)

One command to fix issues. Destructive operations require --force.

🚦 Traffic Flow Animation

Watch data flow through your infrastructure in real-time. Green pulses show healthy traffic paths, red pulses highlight broken connections — instantly spot where requests are failing.

🌡️ Health Heatmap

Switch to heatmap mode to color-code your entire infrastructure by health status. Green = healthy, yellow = warning, red = unhealthy. Instantly identify problem areas at a glance.

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🤔 Why sudiviz?

Hava.io and Cloudcraft.co generate gorgeous diagrams — but they're snapshots. By the time you reload, your problem has moved. sudiviz is built around live data: every render is a fresh API call, every node is clickable, every orphan is highlighted in red dashed lines.

Feature	sudiviz	Hava.io	Cloudcraft
Live data (no manual refresh)	✅	❌ (static)	❌ (static)
Terminal UI (Textual)	✅	❌	❌
Interactive web (Cytoscape.js)	✅	✅	✅
WebSocket real-time updates	✅	❌	❌
Animated traffic flow	✅	❌	❌
Health heatmaps	✅	❌	❌
PNG export	✅	✅	✅
Plain-English fix suggestions	✅	❌	❌
Auto-fix with one command	✅	❌	❌
Terraform drift detection	✅	❌	❌
Orphan detection (red dashed)	✅	❌	❌
ECS / EKS / RDS / Lambda / S3	✅	✅	✅
Security & encryption checks	✅	❌	❌
Free / open source	✅ MIT	❌ ($29/mo)	❌ ($49/mo)
CI-friendly --json flag	✅	❌	❌

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📦 Install

pip install sudiviz                 # core CLI (EC2, ALB, SGs, basic discovery)
pip install 'sudiviz[all]'          # + TUI, web server, PNG diagrams

Auth: sudiviz uses the standard boto3 credential chain — env vars, ~/.aws/credentials, SSO, instance profile. Credentials are never accepted as CLI flags. Run aws configure or set AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY / AWS_DEFAULT_REGION before running.

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☁️ AWS services discovered

sudiviz discovers these services in parallel from your live AWS account:

Service	What's collected
ALB / NLB	Load balancers, listeners, listener rules, scheme, state
Target Groups	Protocol, port, per-target health (healthy / unhealthy / draining)
EC2 Instances	State, IPs, subnet, security group memberships
Security Groups	Ingress/egress rules, ENI attachments
ECS	Clusters → Services (desired vs running tasks, launch type, TG links)
EKS	Clusters → Node Groups (status, capacity type, scaling config)
RDS	DB instances (engine, status, endpoint, encryption, public access)
Lambda	Functions (runtime, state, VPC config, event source mappings)
S3	Buckets (versioning, public access block, server-side encryption)
VPC	Used as the graph root when --vpc-id is supplied

All discovery calls run via asyncio.to_thread — a typical account with ~50 resources finishes in under 5 seconds.

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🎨 Three visualization modes

1. 💻 Terminal (default)

sudiviz diagnose --region us-east-1
sudiviz diagnose --vpc-id vpc-abc --service-tag Service=checkout

╭─ sudiviz topology ──────────────────────────────────────╮
│ Topology                                                │
│ ├── alb: web-prod                                       │
│ │   └── ──▶ target_group: web-prod-tg [2/3]             │
│ │       ├── ──▶ instance: i-0a1b2c (healthy)            │
│ │       └── ──▶ instance: i-0a1b2d (unhealthy)          │
│ ├── ECS                                                 │
│ │   └── ecs_cluster: prod-cluster                       │
│ │       └── ──▶ ecs_service: api [3/3 running]          │
│ ├── EKS                                                 │
│ │   └── eks_cluster: prod  ──▶ eks_nodegroup: workers   │
│ ├── RDS                                                 │
│ │   └── rds: mydb (postgres / available)                │
│ ├── Lambda                                              │
│ │   └── lambda: worker (python3.12 / Active)            │
│ ├── S3                                                  │
│ │   └── s3: my-bucket                                   │
│ └── ORPHANS                                             │
│     ╌╌ target_group: legacy-tg                          │
│     ╌╌ security_group: unused-sg                        │
╰─────────────────────────────────────────────────────────╯

┌──────────┬─────────────────────────────────────┬──────────────────────────────────────┐
│ Severity │ Title                               │ Detail                               │
├──────────┼─────────────────────────────────────┼──────────────────────────────────────┤
│ critical │ S3 'my-bucket': public access open  │ Enable S3 Block Public Access…       │
│ critical │ TG 'web-prod-tg': 2/3 healthy       │ 1 target failing health checks…      │
│ warning  │ RDS 'mydb': storage not encrypted   │ Enable SSE-S3 or SSE-KMS…            │
│ warning  │ Orphan target group: legacy-tg      │ No listener forwards here…           │
│ info     │ Unused security group: unused-sg    │ Safe to delete.                      │
└──────────┴─────────────────────────────────────┴──────────────────────────────────────┘

2. 🖥️ Textual TUI (mouse + keyboard)

sudiviz tui --vpc-id vpc-abc
pip install 'sudiviz[tui]'   # if not already installed

Key	Action
r	Refresh discovery
o	Toggle orphan-only filter
d	Drift overlay hint
q	Quit

Click any row to populate the details pane — shows ARN, health, engine, task counts, encryption status, and more depending on node type.

Status bar shows live counts for all services:

● 123456789 us-east-1 vpc=all · 3 ALBs · 5 TGs · 8 EC2 · 2 ECS clusters (6 svcs) · 1 EKS clusters · 3 RDS · 4 Lambda · 12 S3 · refreshed 14:23:01

3. 🌐 Interactive web (Cytoscape.js)

pip install 'sudiviz[web]'   # if not already installed
sudiviz graph --output web --port 8000 --open

Opens a browser with a live topology graph that:

• Pans, zooms, and drags nodes freely
• Click any node → sidebar shows full metadata (ARN, health, engine, task counts, encryption)
• Cmd/Ctrl-click opens the AWS Console directly for that resource
• Auto-refreshes every 30 s via WebSocket (toggleable)
• Orphan edges pulse red dashed — impossible to miss
• ⚠ Orphans button filters the graph to only show problem nodes
• ⤓ PNG button exports the current view as a PNG

Node colours by kind:

Node type	Shape	Colour
ALB / NLB	Cut rectangle	Blue
Target Group	Rounded rect	Cyan
EC2 Instance	Rounded rect	Purple
Security Group	Diamond	Amber
ECS Cluster	Barrel	Pink
ECS Service	Rounded rect	Fuchsia
EKS Cluster	Hexagon	Blue
EKS Node Group	Rounded rect	Sky
RDS	Barrel	Yellow
Lambda	Triangle	Green
S3	Rounded rect	Orange
VPC	Rectangle	Gray

Or export a static PNG:

sudiviz graph --output png --file topology.png --open

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🚦 Connectivity indicators — green / red / dashed

sudiviz uses a consistent visual language across all three output modes:

State	Terminal	Web (Cytoscape)	PNG (Graphviz)
Healthy edge	──▶ (dim)	Solid green line (#22c55e)	style=solid color=#374151
Orphan edge	╌╌▶ (bold red)	Dashed red line (#dc2626) + pulse	style=dashed color=#dc2626 penwidth=2
Healthy node border	—	Green border	Green fill #dcfce7
Unhealthy node border	—	Red border	Red fill #fecaca
Orphan node	Red dashed section	Red dashed border + red fill #fee2e2	Red fill #fee2e2

What triggers a red dashed line?

An edge turns red and dashed whenever either endpoint is an orphan:

1. Orphan target group — no ALB listener has a forwards_to edge pointing at it.
2. Orphan instance — not registered in any target group.
3. Orphan security group — no ENI or resource has a guarded_by edge to it.

sudiviz diagnose --show-unattached --highlight-orphans

Algorithm lives in sudiviz/graph/analyzer.py → mark_orphaned_edges(). It annotates node['orphan']=True and edge['style']='dashed' so all visualizers stay output-agnostic.

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🩺 Diagnostic rules — what sudiviz checks

Load balancer + networking

Check	Severity
Target group has unhealthy targets	critical / warning
Instance SG missing required port from ALB SG	critical
Orphan target group (no listener routes to it)	warning
Instance not in any target group	info
Security group attached to nothing	info

ECS

Check	Severity
Service running < desired tasks	critical (0 running) / warning
Service has 0 desired tasks	— (skipped, intentional scale-down)

EKS

Check	Severity
Cluster not in ACTIVE state	critical
Node group not in ACTIVE state	warning

RDS

Check	Severity
Instance not available	critical (failed) / warning
Storage encryption disabled	warning
Publicly accessible	warning

Lambda

Check	Severity
Function state not Active	warning

S3

Check	Severity
Public access not fully blocked	critical
Server-side encryption not enabled	warning

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🔄 Terraform drift detection

terraform show -json > tfstate.json
sudiviz drift --tfstate tfstate.json --region us-east-1

Compares your Terraform state against live AWS. Covers:

Terraform resource type	Live check
aws_lb / aws_alb	Load balancers
aws_lb_target_group	Target groups
aws_security_group	Security groups
aws_instance	EC2 instances
aws_ecs_cluster	ECS clusters
aws_ecs_service	ECS services
aws_eks_cluster	EKS clusters
aws_db_instance	RDS instances
aws_lambda_function	Lambda functions

Drift kinds reported:

Kind	Meaning
missing	Terraform expects this, AWS doesn't have it
orphan_in_aws	AWS has it, Terraform doesn't (manual change)
orphan_listener	TF expected a listener TG, but no live listener routes there

Exits non-zero on drift — use as a CI gate:

- run: sudiviz drift --tfstate plan.json --json > drift.json

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🤖 CI / scripting (--json)

Every command emits machine-readable JSON with --json:

# Fail CI if any critical issue exists
sudiviz diagnose --region us-east-1 --json | jq '.diagnosis.fixes[] | select(.severity=="critical")'

# Drift as a CI gate
sudiviz drift --tfstate tfstate.json --json

Exit codes:

Code	Meaning
0	No critical findings / no drift
1	Drift detected (drift command)
2	At least one critical fix (diagnose command)

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🔧 Automated remediation (sudiviz fix)

sudiviz can automatically fix diagnosed issues — not just report them.

Usage

sudiviz fix                    # List all fixes (dry-run)
sudiviz fix 1                  # Show fix #1 only
sudiviz fix 1 --apply          # Apply fix #1
sudiviz fix 1,3 --apply        # Apply fixes #1 and #3
sudiviz fix 1-3 --apply        # Apply fixes #1, #2, and #3
sudiviz fix --apply            # Apply all fixes
sudiviz fix --apply --force    # Apply all fixes including destructive ones

Example output

$ sudiviz fix

Proposed fixes (dry-run):

1. CRITICAL Security group missing port 80 from ALB SG
   Add inbound rule to sg-instance: allow TCP/80 from sg-alb

   aws ec2 authorize-security-group-ingress \
     --region us-east-1 \
     --group-id sg-instance \
     --protocol tcp \
     --port 80 \
     --source-group sg-alb

2. WARNING S3 bucket 'my-bucket': server-side encryption not enabled
   Enable SSE-S3 encryption on bucket: my-bucket

   aws s3api put-bucket-encryption \
     --bucket my-bucket \
     --server-side-encryption-configuration ...

Run with --apply to execute these fixes.

Supported auto-fixes

Issue	Fix applied
Security group missing port from ALB SG	ec2:AuthorizeSecurityGroupIngress
S3 public access not blocked	s3:PutPublicAccessBlock
S3 encryption not enabled	s3:PutBucketEncryption
RDS publicly accessible	rds:ModifyDBInstance
Orphan target group	elbv2:DeleteTargetGroup (requires --force)
Unused security group	ec2:DeleteSecurityGroup (requires --force)

IAM permissions required

For sudiviz diagnose (read-only):

• ReadOnlyAccess (AWS managed policy)

For sudiviz fix --apply (write operations):

• AmazonEC2FullAccess — security group fixes
• ElasticLoadBalancingFullAccess — delete orphan target groups
• AmazonS3FullAccess — S3 encryption and public access fixes
• AmazonRDSFullAccess — RDS public accessibility fixes

Safety

• Dry-run by default — always shows what would change before applying
• Destructive operations require --force — delete operations won't run without explicit flag
• Selective application — apply specific fixes by number instead of all at once

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👁️ Continuous monitoring

sudiviz watch --interval 30 --region us-east-1

Re-runs full discovery + analysis every --interval seconds. Pair with tmux for an always-on dashboard. The web mode (sudiviz graph --output web) is more ergonomic for long-running monitoring — it auto-refreshes via WebSocket and lets you inspect nodes interactively.

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🛠️ Additional commands

• sudiviz compare --baseline graph.json — diff a saved snapshot vs live topology (shows added/removed nodes).
• sudiviz share --upload — push graph JSON to transfer.sh for an ephemeral public link.
• sudiviz diagnose --speak — macOS say reads the top fixes aloud.

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🏗️ Architecture

sudiviz/
├── cli.py                # Typer commands: diagnose, drift, graph, tui, watch, compare, share
├── tui.py                # Textual TUI — live table + details pane
├── web.py                # FastAPI + WebSocket broadcast loop
├── discovery/
│   ├── aws.py            # boto3 + asyncio.to_thread — ECS/EKS/RDS/Lambda/S3/ALB/EC2/SG
│   ├── terraform.py      # `terraform show -json` parser + drift detection
│   └── models.py         # Pydantic v2 — provider-agnostic data models
├── graph/
│   ├── builder.py        # NetworkX DiGraph construction
│   ├── analyzer.py       # Orphan detection + diagnostic rules + fix suggestions
│   └── visualizer.py     # Terminal (Rich) / Cytoscape JSON / PNG (Graphviz)
├── web_templates/
│   ├── index.html        # Cytoscape.js app + WebSocket client
│   ├── style.css         # Dark topbar, health-state colours, orphan pulse animation
│   └── cytoscape.js      # Bundled Cytoscape (offline fallback)
└── utils/
    ├── auth.py           # boto3 session + STS identity + AWS Console URL builder
    ├── reachability.py   # VPC Reachability Analyzer integration (opt-in, paid)
    └── branding.py       # Logo, version, shared colour palette

Multi-cloud ready. All discovery returns Pydantic types defined in discovery/models.py. AWS-specific code is isolated to discovery/aws.py. Add discovery/azure.py or discovery/gcp.py to extend without touching the graph or visualization layer.

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⚡ Performance

• All boto3 calls run via asyncio.to_thread — parallel discovery with no extra dependencies.
• New service discovery (ECS, EKS, RDS, Lambda, S3) runs in the same parallel gather as ALB/EC2 — no extra latency.
• If any individual service fails (e.g. no EKS in the account), it logs a warning and returns an empty list — the rest of discovery continues.
• botocore retries are configured mode="adaptive" (exponential backoff + jitter).
• Pagination is fully drained for every API.
• The web server caches the latest discovery — multiple browser tabs don't trigger multiple sweeps.

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📤 Publishing to PyPI

pip install build twine
python -m build
python -m twine upload dist/*

After upload, anyone can install with:

pip install sudiviz
pip install 'sudiviz[all]'

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