opsfabric-discovery

Open-source AWS reliability audit. Produces a self-contained HTML report assessing CloudWatch alarm coverage across ECS, Lambda, RDS, Aurora, and SQS workloads — and ranks the gaps by real 30-day usage so you see which fixes matter this week. Runs locally; your data never leaves your laptop.

DiscoveryFabric is the audit layer of the OpsFabric reliability platform. The closed-source companion products — AlarmFabric (alarm remediation) and OpsFabric (incident response orchestration) — turn the audit findings into production-fixing automations. See docs/comparison.md for the full feature matrix.

See what your audit would look like — no AWS needed

Run it yourself in 30 seconds:

pip install opsfabric-discovery
opsfabric-discovery audit --demo
# → out/audit-demo.html  (open in any browser)

--demo runs against a baked-in synthetic dataset that exercises every feature of the audit (DEGRADED alarm detection, ALB→ECS bridge, urgency ranking from synthetic CloudWatch usage, business-vs-technical tabs). No AWS calls, no credentials needed. Same matching engine, same report — only the input is fake.

What it does

• Discovers AWS resources via Resource Explorer 2 across one or all enabled regions.
• Maps CloudWatch alarms to those resources using a five-strategy matcher (exact dimensions, ALB target-group bridge for ECS, namespace + partial dimensions, log-group → metric-filter linkage, naming heuristic).
• Detects alarms that exist but won't notify (actions disabled / no SNS target / INSUFFICIENT_DATA) and surfaces them as DEGRADED — they don't count toward coverage.
• Scores required-check coverage against the OpsFabric reliability baseline.
• Fetches 30 days of CloudWatch usage per resource (read-only GetMetricData) and ranks the gaps by urgency — so a Lambda with a 55% error rate and no alarm jumps to the top, not a quiet function with a missing alarm.
• Renders a self-contained HTML report (opens in any browser, prints reasonably, emailable as one attachment) plus JSON appendices.

Trust statement

• Read-only. Calls only AWS describe / list APIs. Never creates, modifies, or deletes any resource.
• Runs on your laptop. Your cloud data never leaves your machine. The only thing sent is anonymous, opt-out usage stats — a random install id, which command ran, a resource-count range, and your coverage score — with no account data and no cloud data. Disable anytime with --no-telemetry, OPSFABRIC_TELEMETRY=0, or DO_NOT_TRACK=1. Details: TELEMETRY.md.
• Source is auditable. Open the installed Python files — every AWS call is visible in opsfabric_discovery/aws/, and the entire telemetry surface is one file, opsfabric_discovery/telemetry.py.
• Minimum IAM permissions (read-only across the board): sts:GetCallerIdentity, ec2:DescribeRegions, resource-explorer-2:ListIndexes / ListViews / GetDefaultView / GetView / Search, tag:GetResources, cloudwatch:DescribeAlarms, cloudwatch:ListMetrics, cloudwatch:GetMetricData, logs:DescribeLogGroups / DescribeMetricFilters, ecs:ListClusters / ListServices / DescribeServices / DescribeTaskDefinition, lambda:ListFunctions / GetFunction, rds:DescribeDBInstances / DescribeDBClusters, sqs:ListQueues / GetQueueAttributes. (cloudwatch:ListMetrics resolves each resource's real metric namespace/dimensions before scoring; GetMetricData fetches the 30-day usage signals for urgency ranking.)

Install

pip install opsfabric-discovery
opsfabric-discovery --help

Quickstart

Once installed, from any directory:

# Audit a profile from ~/.aws/credentials
opsfabric-discovery audit --profile prod --regions all --account-alias acme-prod

# Or via STS assume-role (cross-account)
opsfabric-discovery audit \
  --assume-role-arn arn:aws:iam::CUSTOMER_ACCOUNT:role/OpsFabricAuditor \
  --external-id agreed-secret \
  --regions all \
  --account-alias acme-prod

# Show OpsFabric product context (DiscoveryFabric / AlarmFabric / OpsFabric)
opsfabric-discovery --about

# Outputs land in ./out/ by default; override with --output-dir
ls out/
# audit-<account-id>-<YYYYMMDD>.html    ← open in any browser
# alarm-coverage-score.json
# alarm-coverage-missing.json
# resource-mapping.json
# all-resources.json
# audit-meta.json

Closing the gaps

DiscoveryFabric tells you what's missing. To close the gaps, you have two paths:

1. DIY — open the audit report, click through to the AWS Console, author each missing CloudWatch alarm by hand. Free, but tedious; a mid-market fleet usually has 30–200 missing alarms.
2. AlarmFabric — the OpsFabric remediation product. Reads this audit's JSON output, generates the alarms in your account via the same read-only role used for the audit (plus cloudwatch:PutMetricAlarm), and tags each alarm with its provenance for easy rollback. Typical turnaround: under one engineering day for a fleet of any size. Closed-source SaaS — opsfabric.ai or email vaishal2611@gmail.com.

Once the alarms start firing, OpsFabric handles the incident lifecycle: triage from Slack/CloudWatch/Jira, automated RCA, remediation suggestions, Confluence post-mortems, ticket close-out. Also closed-source SaaS.

The OSS audit is genuinely useful on its own. The paid products are a different layer — not a crippled version of the audit, just a different part of the reliability loop.

Open source vs commercial — feature matrix

See docs/comparison.md for the full version with one-paragraph explanations of each row.

About OpsFabric

We build reliability automation for AWS-heavy mid-market teams. DiscoveryFabric is open-source under the MIT license because the audit should be free — we make money on the remediation and incident-response automation. The OSS funnel and the SaaS funnel feed each other: a team runs the audit, sees their coverage is below baseline, and decides whether to fix the gaps themselves or have us do it.

• Website: opsfabric.ai
• Commercial questions: vaishal2611@gmail.com
• AlarmFabric product: opsfabric.ai
• OpsFabric incident response: opsfabric.ai

Contributing

PRs welcome — see CONTRIBUTING.md for dev setup, test conventions, and what's in scope (resource types, matching strategies, output polish) vs out of scope (live alarm creation, runtime incident handling — those belong to the commercial products).

By participating, you agree to our Code of Conduct.

Support

License

MIT — © 2026 Vaishal Shah / OpsFabric.