Kubernetes Data Protection WG Intro & Deep Dive
Kubernetes数据保护工作组介绍:探讨当前状况、未来发展及如何参与。深入分析数据保护定义、用例、现有构建模块、缺失功能,以及应用程序备份和恢复的工作流程。
Keep Persistent Volumes Healthy for Stateful Workloads
Explore volume health monitoring in Kubernetes for stateful workloads. Learn about current capabilities, ongoing improvements, and potential automatic correction methods for storage issues.
CPU Burst - Getting Rid of Unnecessary Throttling, Achieving High CPU Utilization and Application Performance at the Same Time
Explore CPU Burst feature to solve throttling issues, improve utilization, and enhance performance in Kubernetes environments without compromising resource limits.
Intelligent Analysis on Cloud Infrastructure With AIOps
探索AIOps在云基础设施智能分析中的应用,包括异常检测、资源预测、故障检测和根因分析,以提高云服务管理和运营效率。
Graceful Node Shutdown – A Beginner’s Journey of Kubernetes Development
探索Kubernetes优雅节点关闭功能的开发历程，从初学者视角介绍社区协作、功能实现和Pod优先级机制，展示Kubernetes生态系统的持续改进。
Accelerate Federated Learning Model Deployment with KServe - KFServing
探索利用KServe加速联邦学习模型部署的实践。介绍Kubeflow、KFServing和推理服务工作流程,联邦学习基础知识,以及如何从水平训练的联邦学习模型创建服务。
A Full-Scenario Colocation of Workloads Based on Kubernetes
Maximizing resource utilization through workload colocation on Kubernetes, featuring techniques like prediction, isolation, and interference detection for cost-effective, high-performance deployments.
Bagua - Lightweight Distributed Learning on Kubernetes
Explore Bagua, a high-performance distributed deep learning project for Kubernetes, offering innovative communication algorithms and seamless integration for efficient training across various scenarios.
Accelerating Robot Application Development with Kubernetes
Explore how cloud-native technologies and Kubernetes accelerate robot application development, from containerization to simulation, deployment, and fleet operations.
Chaos Mesh 2.0 - Make Chaos Engineering Easy
Explore Chaos Mesh 2.0, an open-source platform simplifying chaos engineering for cloud-native systems. Learn key features, conduct experiments, and integrate chaos testing into your workflow.
Achieving Faas + Dapr + K8S Technology Integration, and Build a New Alibaba Cloud Serverless R&D System
探讨如何整合FaaS、Dapr和Kubernetes技术,突破性能瓶颈,实现高密度部署和高频创建删除,扩展FaaS边界,并大规模迁移现有应用到无服务器架构。
Build a Large Scale Cloud Native CI/CD System Based on Tekton
探索基于Tekton构建大规模云原生CI/CD系统，解决多集群跨区域部署挑战。分享ByteDance实践经验，包括性能优化和安全问题解决方案。
DNS Failure Observability and Diagnosis in Kubernetes
Kubernetes中DNS故障的可观测性与诊断方法，包括常见场景、CoreDNS插件、DNSTAP协议和基于BPF的客户端诊断，助您快速定位和解决DNS问题。
Reactive Microservices with Akka and Docker
Explore building resilient distributed systems using Akka and Docker, focusing on Reactive microservices architecture, HTTP/JSON marshalling, persistence, and deployment strategies.
Scala - The Unpredicted Lingua Franca for Data Science
Explore Scala's emergence as a key language for data science, covering its features, integration with Spark, and advantages over traditional options like Python and R.
Reactive Microservices with Akka and Docker
Explore building elastic and resilient distributed systems using Akka toolkit and Docker, with a focus on creating Reactive microservices through live demonstrations.
The Last 10 Percent
Comprehensive guide to publishing and maintaining Scala libraries, covering essential steps from code completion to open-source release, including automation, testing, documentation, and versioning.
Simple Code for a Type Safe World
Discover simple techniques for achieving type safety in configuration, process calls, and REST calls using vanilla Scala. Learn to enhance code reliability and convenience without complex libraries.
Class up Your Config
Explore Case Classy, a Scala library simplifying configuration loading and decoding. Learn functional programming concepts, error handling, and how Shapeless enables automatic decoder assembly.
DRY Compiling
Optimize Scala compilation times by reusing incremental compilations from CI or colleagues. Learn to save time with cached compilation for various scenarios using the Hoarder plugin.
SBT - Beyond the Build Tool
Discover how to leverage sbt beyond basic build tasks, embrace its capabilities, and boost productivity in Scala development through best practices and compelling case studies.