opsfabric-discovery

opsfabric-discovery is a tool designed to audit cloud reliability by identifying gaps in alarm coverage across AWS environments. It addresses common issues in cloud operations, such as undetected reliability decay, lack of clear reporting metrics, and unnoticed service drift, by systematically scanning resources and mapping alarms to highlight potential weaknesses that could lead to missed incidents. The tool produces a self-contained HTML report summarizing reliability posture with a single coverage score, exposure ranked by business impact, and a trend line per quarter, making it suitable for executive review without further editing.

The audit process can be run via a command-line interface, and it does not require AWS credentials when using a synthetic dataset for demonstration. It scans AWS resources such as ECS, Lambda, RDS, Aurora, and SQS, mapping alarms using multiple strategies and detecting degraded alarms, such as those with actions disabled or lacking an SNS target. The output includes both a JSON file and an HTML report, providing flexibility for further analysis or immediate sharing with stakeholders. The tool is positioned for use by organizations seeking to improve their cloud reliability posture and reduce the risk of outages going unnoticed until reported by customers.

opsfabric-discovery is delivered as a Python package installable via pip, allowing users to quickly run audits on their accounts. It integrates with broader OpsFabric capabilities, including scheduled audits to catch new unmonitored services, and is part of a platform that connects with existing tools such as Azure, AWS, Slack, GitHub, Confluence, Jira, PagerDuty, and GCP. The audit can be tried for free, with a demo available that runs against a synthetic AWS account. This positions opsfabric-discovery as a solution for cloud reliability engineers, SREs, and organizations aiming to maintain and improve their monitoring and incident readiness without adding complexity to their existing stack.