dora-team/fourkeysArchived
Fourkeys
Fourkeys is a software delivery analytics platform designed to track, calculate, and display core DevOps performance indicators and metrics. It ingests development and deployment events from version control, continuous integration, incident management, and deployment systems through authorized webhook endpoints, custom data parsers, and pluggable adapters. The platform processes incoming events using serverless functions and populates a data warehouse to measure engineering speed and reliability.
The system calculates key performance measurements including deployment frequency, lead time for changes, change failure rate, and service restoration time. Users can update data warehouse query views to reclassify how specific development occurrences are categorized, and generate simulated activity data to test pipeline ingestion, event parsing, metric storage, and dashboard visualizations without live traffic.
The platform includes customizable graphical interfaces that visualize software delivery metrics and productivity indicators in real time. Infrastructure provisioning and pipeline deployment are supported through declarative configurations and modular templates that automate cloud monitoring resources.
Features
- Delivery Performance Metrics - Tracks core software delivery performance indicators like deployment frequency and lead time by automatically processing delivery and incident data.
- DORA Metrics - Tracks the four key software delivery metrics to evaluate team productivity and release reliability through visual dashboards.
- Event Data Processing - Transforms incoming development events through serverless functions and loads them into a data warehouse.
- Deployment Frequency Calculations - Measures how often a team successfully releases software updates to production over specific time periods.
- Delivery Lead Times - Computes the median duration it takes for an individual code commit to travel from version control into production.
- Delivery Performance Tracking - Measures core engineering performance indicators like deployment frequency and lead time by processing software release data.
- CI/CD Pipeline Orchestration - Ingests and transforms webhook notifications from version control and deployment systems into engineering analytics.
- Delivery Toolchain Integrations - Connects continuous delivery platforms and version control systems using pluggable adapters to ingest software lifecycle events.
- Service Restoration Metrics - Calculates the median duration between a faulty production deployment and the successful resolution of the resulting incident.
- Software Delivery Analytics - Tracks deployment frequency, lead time, time to restore service, and change failure rate through an analytics platform.
- Webhook Event Receivers - Receives webhook notifications from version control and issue tracking systems to publish them into message queues.
- Change Failure Rate Calculations - Calculates the percentage of production deployments that result in failures requiring remediation or incident reports.
- Analytics Platforms - Ingests development and deployment events to calculate core DevOps performance indicators and metrics.
- Custom Event Sources - Ingests incoming payloads from external webhook endpoints and custom data parsers to process development events securely.
- Metric Dashboards - Displays key operational and performance indicators on customizable graphical interfaces for real-time monitoring.
- DevOps Delivery Dashboards - Provides customizable graphical dashboards that visualize software delivery metrics and engineering productivity indicators.
- Event Data Reclassifications - Allows users to update data warehouse query views to reclassify development occurrences into changes, deployments, or incidents.
- Declarative Infrastructure Provisioning - Provisions platform resources using declarative infrastructure-as-code configurations instead of manual scripts.
- Deployment Patterns - Processes non-standard release strategies including canary, blue-green, and multi-change-set deployments.
- Cloud Provisioning Templates - Automates the provisioning of cloud monitoring resources and data pipelines using modular infrastructure templates.
- Development Event Simulations - Generates simulated version control events, deployments, and incidents to test data pipelines and dashboard visualizations without live traffic.
