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This guide explains how to deploy the DeepSeek‑R1 large language model on a Knative platform using an A10 GPU, covering preparation, service creation with appropriate annotations, YAML configuration, verification via curl, custom domain setup, and optional personal AI assistant deployment.
This article explains how to reduce inference cost and improve performance for large language models on Alibaba Cloud ACK by using Knative's request‑based autoscaling, custom ResourcePolicy priority scheduling, and Fluid data‑caching to achieve elastic scaling, resource pre‑emption, and faster model loading.
This article explains the fundamentals of event‑driven architecture, introduces Knative Eventing as a cloud‑native serverless framework, details its broker/trigger model, event sources, orchestration patterns such as Sequence and Parallel, and shows how to integrate it with Alibaba Cloud EventBridge while comparing it to KEDA.
This article explains how Alibaba Cloud Knative, built on Kubernetes, works with the ASM service mesh to provide serverless capabilities, detailing its architecture, deployment steps, code examples, and advanced traffic management features such as rate limiting, circuit breaking, and priority scheduling.
This article introduces Knative Eventing concepts and core components, then demonstrates three practical usage patterns—Source‑to‑Sink, Channel and Subscription, and Broker and Trigger—through step‑by‑step examples, Kubernetes manifests, and command‑line operations, highlighting event flow, filtering, and reply handling.
This article explains Knative Eventing’s role in serverless event‑driven architectures, detailing its core concepts, the generic event‑listening model, key components such as Sources, Channels, Subscriptions, Brokers, Triggers, and flow resources like Sequence and Parallel, and provides practical YAML and HTTP examples.
This guide explains how to efficiently deploy AI model inference services on Knative by externalizing model data, using Fluid for accelerated loading, configuring secrets, ImageCache, graceful shutdown, probes, autoscaling parameters, mixed ECS/ECI resources, shared GPU scheduling, and observability features to achieve fast scaling, low cost, and high elasticity.
NetEase Cloud Music transitioned from public FaaS to a private Knative‑based serverless platform, delivering elastic audio‑video processing, multi‑language support, event‑driven scaling across hybrid private and public clouds, boosting resource utilization and cutting costs, though cold‑starts and container expertise remain challenges.
This case study explains how PNC Bank, one of the largest U.S. banks, used cloud‑native technologies such as Knative, Kubernetes, and TriggerMesh to replace a 30‑day manual compliance process with an automated Policy‑as‑Code system, dramatically shortening deployment cycles and enabling continuous delivery.
Knative is a CNCF‑incubated, cloud‑native serverless framework on Kubernetes that combines Build, Eventing, and Serving components—featuring a Knative Pod Autoscaler that can scale pods to zero—offering improved resource utilization, rapid traffic response, and developer productivity despite modest performance overhead.
The article examines Kuaishou Y‑tech's server‑side effects platform, detailing its background, technical challenges, exploration of open‑source workflow and serverless frameworks, architectural adjustments for non‑blocking APIs, and future development directions while highlighting recruitment opportunities.
This article explains the motivations behind Serverless, defines its core concepts such as FaaS and BaaS, outlines key characteristics like one‑step deployment, auto‑scaling and event‑driven execution, discusses suitable use cases, current challenges, and introduces Knative as a cloud‑native implementation.
This article provides a comprehensive overview of Knative Eventing's Broker and Trigger model, detailing background concepts, event routing patterns, data‑plane and control‑plane workflows, and includes practical YAML and command‑line examples for deploying and managing the components in a Kubernetes environment.
The article describes how the team built a production‑grade serverless workflow platform on Knative by creating four modules—a dashboard, API, operator, and syncer—that generate Kubernetes resources, automate CI/CD, monitor via Prometheus, and aim to cut boilerplate while supporting future extensions such as richer constructs, multi‑language support, and synchronous invocations.
This article explains Knative Eventing fundamentals, walks through a Hello‑World event pipeline using GCP Pub/Sub, shows the required YAML definitions and kubectl commands, and demonstrates how to connect Cloud Storage events to a Vision API service for image analysis.
This article introduces Knative as a Kubernetes‑based serverless platform, explains its three core components, walks through deploying a Hello World service with YAML and kubectl commands, shows how configuration changes create revisions, demonstrates traffic splitting, and illustrates integration with external services such as Twilio.
This article explains how to transform a traditional Kubernetes Operator into a server‑less one by leveraging Knative Eventing and Knative Serving, showing the architectural changes, code modifications, and the remaining limitations of the approach.
Knative Serving, built on Kubernetes and Istio, provides middleware primitives for rapid serverless container deployment, automatic scaling to zero, Istio‑based routing, and snapshotting of code and configuration, with key custom resources such as Service, Route, Configuration, and Revision to manage lifecycle and traffic.
This article explains the fundamentals of Serverless computing, compares FaaS and BaaS offerings, examines the limitations of cloud functions, and details how Tencent CloudBase leverages Knative to deliver Serverless cloud applications, covering serving, building, ecosystem integration, and the emerging CaaS model.
Jenkins X introduces serverless Jenkins, leveraging Prow and Knative on Kubernetes to provide a cloud‑native, highly available CI/CD solution that eliminates single‑point failures, reduces costs, and integrates GitOps, while offering migration guidance, FAQs, and practical Terraform commands for deployment.