fission/fission

Features

• Function-as-a-Service Platforms - Provides a complete function-as-a-service platform for managing the execution and lifecycle of code snippets on Kubernetes.
• Serverless Function Management - Provides a complete platform for deploying and managing the lifecycle of serverless functions on Kubernetes.
• Custom Container Images - Uses custom container images to isolate language runtimes and dependencies from the serverless function logic.
• Workload Scheduling and Scaling - Manages the automatic scaling and scheduling of containerized serverless workloads based on demand.
• Event-Driven Orchestration - Acts as an orchestrator that maps external cloud event sources to the execution of specific serverless functions.
• Event Triggers - Routes external signals from HTTP requests and message queues to trigger specific function executions.
• Dynamic Code Loaders - Injects function code into running containers at runtime to eliminate the overhead of container restarts.
• Function Warm-up Utilities - Maintains a pool of pre-initialized warm containers to eliminate cold-start latency for serverless functions.
• Horizontal Scaling Engines - Provides a native autoscaling engine that adjusts function instance counts based on real-time traffic demand.
• Runtime Environment Configuration - Provides pre-configured runtime environments via container images to ensure consistent language support for functions.
• Kubernetes-Native Deployments - Provides a serverless framework that abstracts the underlying container infrastructure to run functions on Kubernetes.
• Serverless Runtimes - Provides a specialized runtime environment designed to execute short-lived, event-driven code snippets with high performance.
• Warmup Latency Minimization - Minimizes cold start latency by maintaining a pool of warm containers with dynamic loaders.
• Event-Driven Architectures - Implements an architecture that triggers serverless functions based on external signals like HTTP requests and message queues.
• Scalable Server Functions - Automatically scales the number of running function instances in real-time based on traffic demand.
• Serverless Frameworks - Offers a framework that abstracts Kubernetes infrastructure to run and scale event-driven functions.
• Canary Deployment Controllers - Implements a traffic controller to split incoming requests between different function versions for safe canary testing.
• Release Stability Verification - Validates the stability of new function releases by splitting traffic to a subset of instances.
• Traffic Routing - Routs a percentage of incoming traffic to new function versions to validate releases via canary testing.
• Metric and Performance Monitors - Collects and visualizes performance metrics to track the health and resource usage of the serverless deployment.
• Serverless Runtime Optimizations - Utilizes warm container pools and dynamic loaders to minimize cold start latency for serverless functions.
• Application Frameworks - Serverless functions framework for Kubernetes.

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