Scalability
A subject-matter collection covering APIs, tools, frameworks, and data sources related to application scalability, infrastructure scaling, performance optimization, and elastic resource management. This topic spans cloud provider auto-scaling, event-driven autoscaling (KEDA), load balancing, database scaling, and observability for scale.
APIs
KEDA (Kubernetes Event-Driven Autoscaling) API
KEDA is a Kubernetes-based event-driven autoscaling component and CNCF graduate project. It provides fine-grained autoscaling (including to/from zero) for event-driven Kubernete...
AWS Auto Scaling API
Amazon Web Services Auto Scaling monitors applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Supports EC2 A...
Google Cloud Compute Engine Autoscaler API
Google Cloud's Autoscaler API enables automatic scaling of managed instance groups based on CPU utilization, load balancing capacity, or Cloud Monitoring metrics. Integrates wit...
Azure Autoscale REST API
Microsoft Azure Autoscale provides a REST API for managing autoscale settings on Azure resources including Virtual Machine Scale Sets, App Service, and Azure Container Apps. Sup...
CloudWatch Application Signals API
Amazon CloudWatch Application Signals provides application performance monitoring (APM) to help detect and diagnose performance issues and automatically correlate them with infr...
Prometheus HTTP API
Prometheus is the de-facto open-source monitoring and alerting toolkit for cloud-native applications and a CNCF graduate project. The Prometheus HTTP API provides access to time...
Grafana HTTP API
Grafana is the open-source platform for monitoring and observability, providing a REST HTTP API for managing dashboards, data sources, users, and alerts. Widely used alongside P...