Analysis updated 2026-05-18
Audit IAM, VPC, and secrets exposure for a Hyperswitch deployment on AWS.
Set up CloudWatch alarms and Grafana dashboards for payment traffic.
Follow a defined incident response flow when a payment connector fails.
Estimate and track AWS costs for a Hyperswitch deployment by transaction volume.
| bhoobalan-bhoo/hyperswitch-aws-toolkit | 0marildo/imago | agentlexi/agent-lexi | |
|---|---|---|---|
| Stars | 3 | 3 | 3 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 4/5 | 2/5 | 4/5 |
| Audience | ops devops | general | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Requires an existing Hyperswitch deployment on AWS plus AWS CLI, kubectl, and Helm access.
hyperswitch-aws-toolkit is a Python-based collection of scripts for running Hyperswitch, an open source payment orchestration platform, safely in production on AWS. Hyperswitch itself already has a deployment guide, but the author found nothing to help watch over it once it was running: no runbooks, no alerts, no defined way to respond when something broke. This toolkit fills that gap, covering security hardening, observability, alerting, incident response, cost tracking, and chaos testing after the initial deploy is done. The toolkit is organized into folders by purpose. A security folder audits IAM permissions, VPC network exposure, and secrets stored in plaintext. A compliance folder checks PCI-DSS v4.0 controls and CloudTrail logging. An observability folder sets up CloudWatch alarms and Grafana dashboards, and can route alerts to Slack or email. An operations folder streams live logs and detects anomalies. A runbooks folder holds step by step guides for specific problems like connector failures, high latency, database issues, or crashed pods. A resilience folder handles chaos and load testing, and a cost folder estimates AWS spending based on transaction volume or pulls real numbers from AWS Cost Explorer. Getting started means installing a handful of Python packages such as boto3, pyyaml, and requests, or simply running a bash script that sets up a virtual environment and drops the user into an interactive menu covering all the checks, alarms, and dashboards. Before configuring anything, a user edits a YAML config file with their AWS region, cluster and database names, alert thresholds, and a Slack webhook URL. The incident response flow described in the README runs through several of these scripts in sequence: an anomaly detector flags a problem, a classifier assigns it a priority level, an escalation script creates the incident and sends a notification, and the responder follows the matching runbook before marking it acknowledged or resolved. The toolkit also includes a connector capability matrix comparing which payment methods providers like Stripe, Adyen, Razorpay, PayPal, and Klarna support, and rough monthly cost tiers ranging from about 120 dollars for small setups to over 2,000 dollars for large ones. It requires Python 3.9 or newer, the AWS CLI, kubectl, and Helm, and is released under the MIT License.
A Python toolkit that adds security, monitoring, alerting, and incident response for running Hyperswitch payments on AWS.
Mainly Python. The stack also includes Python, AWS, Grafana.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.