The document discusses observability in cloud-native environments, focusing on metrics, logging, and tracing as key areas supported by technologies like Grafana and its related projects. It highlights the role of Grafana in providing a unified UI for monitoring and managing observability data, as well as the architecture and deployment modes of various tools like Mimir, Loki, and Tempo for efficient data handling. Challenges in user management and system integration are also addressed, emphasizing the importance of user-friendly interfaces and seamless service interactions.
ArgoCD 的雷 碰過的人就知道 @TSMC IT Community Meetup #4Johnny Sung
?
This document provides an introduction to GitOps and ArgoCD as tools for managing application deployment and infrastructure configurations on Kubernetes. It highlights ArgoCD's capabilities to automate deployment through Git repositories, supporting tools like Helm and Kustomize for configuration management. Additionally, it outlines the benefits of using GitOps, such as version control, automated deployments, and enhanced security through review processes.
The document provides an overview of the Bloc pattern, created by Google, which separates business logic from the presentation layer in mobile application development. It introduces various components of Bloc, such as Cubit and BlocBuilder, and illustrates their implementation through examples including state management and asynchronous operations. Additionally, it discusses testing strategies for Bloc and provides insights on dependency injection and the concept of test doubles.
Optimizing Kubernetes Resource Requests/Limits for Cost-Efficiency and Latenc...Henning Jacobs
?
The document discusses optimizing Kubernetes resource requests and limits for cost-efficiency and latency, focusing on Zalando's practices and strategies. Key topics include the implications of CPU and memory requests/limits, how they affect pod scheduling, and the importance of avoiding memory overcommit. Additionally, it addresses cluster autoscaling methods and the use of tools like the vertical pod autoscaler and Kubernetes resource reports for better resource management.
This document provides an overview of diabetes mellitus (DM), including the three main types (Type 1, Type 2, and gestational diabetes), signs and symptoms, complications, pathophysiology, oral manifestations, dental management considerations, emergency management, diagnosis, and treatment. DM is caused by either the pancreas not producing enough insulin or cells not responding properly to insulin, resulting in high blood sugar levels. The document compares and contrasts the characteristics of Type 1 and Type 2 DM.
Power Point Presentation on Artificial Intelligence Anushka Ghosh
?
Artificial Intelligence (AI) refers to computer systems that model and simulate human intelligence, with applications including virtual assistants like Siri and Google Now. The document covers the early history of AI, current advancements, and future challenges, highlighting its benefits and drawbacks. It concludes that AI, defined as the design of intelligent agents, has potential in various fields but also raises concerns about dependency and job displacement.
The document summarizes key aspects of the Safe Spaces Act, which aims to address gender-based sexual harassment. It defines harassment in public spaces, online, and work/educational settings. Acts considered harassment include catcalling, unwanted comments on appearance, stalking, and distributing intimate photos without consent. Those found guilty face penalties like imprisonment or fines. The law also requires employers and educational institutions to disseminate the law, prevent harassment, and address complaints through committees.
This document defines hypertension and describes its types, etiology, risk factors, pathophysiology, clinical features, diagnostic evaluations, and management. Hypertension is defined as a systolic blood pressure of 140 mmHg or higher and/or a diastolic blood pressure of 90 mmHg or higher. It is managed primarily through lifestyle modifications like diet and exercise changes as well as pharmacological therapies including diuretics, beta blockers, ACE inhibitors, and calcium channel blockers. Nursing care involves monitoring the patient's condition, educating on lifestyle changes, and ensuring proper treatment adherence.
Introduction to CNI (Container Network Interface)HungWei Chiu
?
The document explores the complexities of the Container Network Interface (CNI) in Kubernetes and its implementations, detailing the functions of flannel and other networking solutions. It provides an overview of how Docker and Kubernetes manage container networking through configurations and command settings, as well as the step-by-step setup of a Kubernetes cluster using CNI. Key elements discussed include network namespaces, Linux bridges, vxlan overlays, and integration with configuration management tools like etcd and daemonsets.
The document provides an overview of Kubernetes, an open-source container management platform that enables the management and scaling of containerized applications. It outlines key concepts such as nodes, pods, and various Kubernetes objects (e.g., deployments, replicasets, statefulsets). Additionally, it covers cluster components, networking models, security features, and tools for managing Kubernetes stacks.
An overview of the Kubernetes architectureIgor Sfiligoi
?
The document provides an overview of Kubernetes architecture, including its history, basic building blocks like containers and pods, and features such as deployment, configuration management, and networking. It discusses orchestration, pod scheduling, user permissions, and the importance of YAML for interactions with Kubernetes. The presentation highlights the system's capabilities in managing containerized applications across various platforms and emphasizes its flexibility and ease of configuration.
This document provides an overview of Kubernetes including:
1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications.
2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
?
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
This document provides an introduction to Kubernetes including:
- What Kubernetes is and what it does including abstracting infrastructure, providing self-healing capabilities, and providing a uniform interface across clouds.
- Key concepts including pods, services, labels, selectors, and namespaces. Pods are the atomic unit and services provide a unified access method. Labels and selectors are used to identify and group related objects.
- The Kubernetes architecture including control plane components like kube-apiserver, etcd, and kube-controller-manager. Node components include kubelet and kube-proxy. Optional services like cloud-controller-manager and cluster DNS are also described.
The document presents a detailed introduction to Kubernetes, an open-source container management tool that automates container deployment and load balancing, originally developed by Google. It covers Kubernetes architecture, including master and node components, key terminology like pods and services, and networking challenges, as well as various installation options. The presentation includes resources for further learning about Kubernetes.
The document outlines a Kubernetes certification training agenda covering fundamental concepts such as Kubernetes architecture, master and worker nodes, and the key components involved. It highlights Kubernetes as an open-source container management tool that automates deployment, scaling, and load balancing across various cloud environments. Additionally, it discusses features like self-healing, service discovery, and storage orchestration, as well as challenges associated with network setup and communication.
Kubernetes: An Introduction to the Open Source Container Orchestration PlatformMichael O'Sullivan
?
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It operates on a cluster model with master and worker nodes, allowing for features like self-healing, automated updates, and service discovery. The document provides an overview of its architecture, components, and comparisons with other container orchestration tools like Docker Swarm.
The document is an introduction to Kubernetes, an open-source container orchestration system developed by Google. It covers Kubernetes architecture, main concepts such as pods, deployments, services, and the reconciler pattern. The presentation also touches on advanced topics and resources for further learning about Kubernetes.
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.
The document discusses 'kind' (Kubernetes in Docker), a tool for running Kubernetes clusters within Docker containers, originally designed for CI testing but also popular for local development. It highlights various challenges related to managing IP addresses and DNS resolutions within this setup, and how 'kind' addresses these issues to ensure stable operation of Kubernetes. Overall, the document emphasizes the ongoing improvements and functionalities of 'kind' in enhancing Kubernetes' capabilities in containerized environments.
The document outlines the process for creating and managing networks and instances using OpenStack, particularly focusing on both virtual and bare metal nodes. It details the steps for networking configuration, introspection rule creation, and node management, including the setting of IPMI credentials and vendor drivers. Additionally, it provides examples of commands to create and introspect nodes, as well as manage network configurations.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It coordinates activities across a cluster of machines by defining basic building blocks like pods (which contain containers), replication controllers (which ensure a specified number of pods are running), and services (which define logical groups of pods). Kubernetes provides tools for running applications locally on a single node as well as managing resources in the cluster, including creating, deleting, viewing, and updating resources from configuration files.
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.
The document discusses container networking and microservices architecture, highlighting the need for service discovery, load balancing, and multi-tenancy in cloud environments. It explains how containers are lightweight units of software that help reduce conflicts in development environments, while microservices allow for autonomous and scalable applications. Additionally, it elaborates on networking models such as CNM and CNI, which facilitate container communication and management, particularly in platforms like Docker and Kubernetes.
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
Introduction to CNI (Container Network Interface)HungWei Chiu
?
The document explores the complexities of the Container Network Interface (CNI) in Kubernetes and its implementations, detailing the functions of flannel and other networking solutions. It provides an overview of how Docker and Kubernetes manage container networking through configurations and command settings, as well as the step-by-step setup of a Kubernetes cluster using CNI. Key elements discussed include network namespaces, Linux bridges, vxlan overlays, and integration with configuration management tools like etcd and daemonsets.
The document provides an overview of Kubernetes, an open-source container management platform that enables the management and scaling of containerized applications. It outlines key concepts such as nodes, pods, and various Kubernetes objects (e.g., deployments, replicasets, statefulsets). Additionally, it covers cluster components, networking models, security features, and tools for managing Kubernetes stacks.
An overview of the Kubernetes architectureIgor Sfiligoi
?
The document provides an overview of Kubernetes architecture, including its history, basic building blocks like containers and pods, and features such as deployment, configuration management, and networking. It discusses orchestration, pod scheduling, user permissions, and the importance of YAML for interactions with Kubernetes. The presentation highlights the system's capabilities in managing containerized applications across various platforms and emphasizes its flexibility and ease of configuration.
This document provides an overview of Kubernetes including:
1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications.
2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
?
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
This document provides an introduction to Kubernetes including:
- What Kubernetes is and what it does including abstracting infrastructure, providing self-healing capabilities, and providing a uniform interface across clouds.
- Key concepts including pods, services, labels, selectors, and namespaces. Pods are the atomic unit and services provide a unified access method. Labels and selectors are used to identify and group related objects.
- The Kubernetes architecture including control plane components like kube-apiserver, etcd, and kube-controller-manager. Node components include kubelet and kube-proxy. Optional services like cloud-controller-manager and cluster DNS are also described.
The document presents a detailed introduction to Kubernetes, an open-source container management tool that automates container deployment and load balancing, originally developed by Google. It covers Kubernetes architecture, including master and node components, key terminology like pods and services, and networking challenges, as well as various installation options. The presentation includes resources for further learning about Kubernetes.
The document outlines a Kubernetes certification training agenda covering fundamental concepts such as Kubernetes architecture, master and worker nodes, and the key components involved. It highlights Kubernetes as an open-source container management tool that automates deployment, scaling, and load balancing across various cloud environments. Additionally, it discusses features like self-healing, service discovery, and storage orchestration, as well as challenges associated with network setup and communication.
Kubernetes: An Introduction to the Open Source Container Orchestration PlatformMichael O'Sullivan
?
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It operates on a cluster model with master and worker nodes, allowing for features like self-healing, automated updates, and service discovery. The document provides an overview of its architecture, components, and comparisons with other container orchestration tools like Docker Swarm.
The document is an introduction to Kubernetes, an open-source container orchestration system developed by Google. It covers Kubernetes architecture, main concepts such as pods, deployments, services, and the reconciler pattern. The presentation also touches on advanced topics and resources for further learning about Kubernetes.
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.
The document discusses 'kind' (Kubernetes in Docker), a tool for running Kubernetes clusters within Docker containers, originally designed for CI testing but also popular for local development. It highlights various challenges related to managing IP addresses and DNS resolutions within this setup, and how 'kind' addresses these issues to ensure stable operation of Kubernetes. Overall, the document emphasizes the ongoing improvements and functionalities of 'kind' in enhancing Kubernetes' capabilities in containerized environments.
The document outlines the process for creating and managing networks and instances using OpenStack, particularly focusing on both virtual and bare metal nodes. It details the steps for networking configuration, introspection rule creation, and node management, including the setting of IPMI credentials and vendor drivers. Additionally, it provides examples of commands to create and introspect nodes, as well as manage network configurations.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It coordinates activities across a cluster of machines by defining basic building blocks like pods (which contain containers), replication controllers (which ensure a specified number of pods are running), and services (which define logical groups of pods). Kubernetes provides tools for running applications locally on a single node as well as managing resources in the cluster, including creating, deleting, viewing, and updating resources from configuration files.
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.
The document discusses container networking and microservices architecture, highlighting the need for service discovery, load balancing, and multi-tenancy in cloud environments. It explains how containers are lightweight units of software that help reduce conflicts in development environments, while microservices allow for autonomous and scalable applications. Additionally, it elaborates on networking models such as CNM and CNI, which facilitate container communication and management, particularly in platforms like Docker and Kubernetes.
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
该文档探讨了微服务架构的崛起原因及其与单体架构的比较,分析了技术应用场景和系统开发维度的不同特性。微服务架构通过高交付频率和短迭代周期提高开发效率,适用于需求不稳定或需要兼容不同技术的项目。implementation and deployment methods, including the use of Kubernetes and automated tests, are discussed to support smooth transitions to microservices.
如何盡量避免 Throttling 在 K8s 中 (How to reduce throttling in k8s)Kiwi Lee
?
本文探讨如何在 Kubernetes (k8s) 中克服 CPU 流量控制 (throttling) 问题,分析物理和虚拟机环境下的 CPU 资源管理。通过调整资源限制、限制容器线程数量及实施静态 CPU 管理策略,可以有效减少流量控制现象。文章提供了多种方法和实际案例,从而显著提高了服务性能和资源利用率。
本文件分享了微服務架構的導入經驗,強調了相較於單體式架構的優勢,包括擴展性、故障隔離和資源利用率的提升。通過使用 Windows 容器技術進行系統佈署,實現了更簡化和高效的服務管理,並提出了將傳統 ASP.NET 系統遷移到微服務架構的具體步驟及實際案例。文中也探討了微服務架構在人才發展管理系統中的應用,闡述了建立良好服務邊界和 API 定義的重要性。
Learning how AWS implement AWS VPC CNIHungWei Chiu
?
The document discusses AWS VPC CNI (Container Network Interface) and how it enables networking connectivity for Kubernetes pods running on Amazon EC2 instances within an AWS VPC (Virtual Private Cloud). It aims to provide high throughput and availability, low latency networking while allowing users to express and enforce network policies and isolation comparable to using native EC2 networking and security groups. AWS VPC CNI assigns pods IP addresses from the same subnet as the EC2 instance so traffic can bypass overlay networking for improved performance and visibility within the VPC.
The document discusses the management of multiple Jenkins servers and numerous Jenkins jobs within a DevOps framework, emphasizing the use of Jenkins Job Builder (JJB) for automation. It covers Jenkins architecture, job configuration, and integration with various source control systems. Additionally, it highlights the importance of using YAML files for job definitions and managing CI/CD pipelines in a cloud and on-premises environment.
The relationship between Docker, Kubernetes and CRIHungWei Chiu
?
Docker, Kubernetes, and CRI standards allow different container solutions to work together. Docker contributed to the OCI specifications for container images and runtimes. Kubernetes uses the Container Runtime Interface (CRI) to support multiple container runtimes like Docker, Containerd, and CRI-O. This allows Kubernetes to work with different container solutions while maintaining compatibility through open standards.
The document provides an overview of the Open Container Initiative (OCI) and Container Runtime Interface (CRI), detailing specifications for container runtime and image formats. It discusses the operational workflows involved in downloading and running OCI images, the lifecycle of containers, and various runtimes such as containerd and cri-o optimized for Kubernetes. Additionally, it includes links to resources and demonstrations for practical implementations of these technologies.
The document provides an overview of IPVS (IP Virtual Server), a transport-layer load balancing solution implemented in the Linux kernel, detailing its architecture, integration with Kubernetes, and load balancing methods. It includes a demonstration of setup and configuration, comparisons with iptables and LVS, and an explanation of associated tools and user commands needed for managing services. It also addresses debugging challenges and features resources for further learning about Kubernetes and cloud-native technologies.
The document provides an overview of distributed tracing systems, particularly focusing on Dapper, OpenTracing, and Jaeger. It explains the importance of tracing in complex distributed systems, details the architecture and functionality of OpenTracing, and introduces Jaeger as a cloud-native distributed tracing system. Additionally, it discusses OpenTelemetry, which integrates tracing, metrics, and logs to enhance observability in microservices.
This document discusses the integration of iptables and Kubernetes, focusing on iptables operations in a Docker environment, kernel module implementation, and load-balancing strategies using layer 4 and layer 7 functionalities. It explains various technical aspects including packet inspection, service workflow in Kubernetes, and the implementation of custom modules for handling DNS packets and UDP load-balancing. Additionally, it highlights the connection tracking mechanism in Kubernetes and its implications for NAT results in packet processing.
The document discusses iptables and its implementation in networking, particularly within containerized environments using Docker and Kubernetes. It covers various aspects like ebtables, connection tracking, and the modification of kernel modules to manage packet flow between hosts and containers. The document also includes practical examples of setting up rules, generating traffic, and debugging network connections.
The document provides an introduction to Open vSwitch (OVS) by Hungwei Chiu, explaining its function in networking and its integration with Kubernetes. It details the differences between routers and switches, outlines the TCP/IP model, and discusses the OpenFlow protocol as a communication interface between control and forwarding layers in a software-defined networking architecture. The document also addresses challenges in Kubernetes networking with OVS, including pod communication and policy management.
This document provides an overview of load balancing, explaining its functionality and different algorithms, particularly in the context of Kubernetes. It covers the distinction between layer 4 and layer 7 load balancing, various implementations, and the role of middleware. Additionally, it discusses real-world applications, including gRPC protocol handling in a Kubernetes environment.
The document introduces Hung-Wei Chiu, a DevOps professional and Microsoft MVP, detailing his contributions to open source and various tech communities. It provides an overview of CircleCI's hosting, pricing, and features such as SSH debugging, parallelism, and YAML configuration. Additionally, it highlights the use of orbs for packaging commands and jobs, emphasizing the sharing aspect within the developer community.
The document discusses containers and Kubernetes, covering their definition, advantages over virtual machines, and how they integrate into IT processes. It details how to work with Docker, including image preparation, container creation, storage management, networking, and the orchestration provided by Kubernetes. The text also highlights Kubernetes architecture, deployment concepts, and networking challenges that users may face.
The document provides an extensive overview of Kubernetes, detailing its architecture, fundamental components, and the advantages of using containers over virtual machines. It covers essential concepts such as pods, services, networking, storage management, and deployment strategies within Kubernetes. Additionally, it discusses limitations and considerations for employing Kubernetes in various infrastructure setups, emphasizing the importance of understanding storage and networking functionalities in a cloud environment.
The document discusses application-based routing in Software Defined Wide Area Network (SD-WAN) environments, detailing how to optimize traffic routes based on application priority using various Linux kernel techniques. It explains the challenges of implementing deep packet inspection (DPI) and routing decisions through methods like netfilter and iptables. The presentation emphasizes performance improvements by leveraging connection tracking and reducing the need for excessive packet inspections.
Build Your Own CaaS (Container as a Service)HungWei Chiu
?
The document discusses Kubernetes as a container-centric management platform that facilitates agile application deployment and microservices orchestration. It outlines the concept of Container as a Service (CaaS), detailing how to manage container lifecycles using Kubernetes, and emphasizes the importance of CI/CD integration for developers. Additionally, the document describes the necessary steps for building a CaaS platform, testing environments, and continuous integration and deployment processes within Kubernetes.
Control Your Network ASICs, What Benefits switchdev Can Bring UsHungWei Chiu
?
The document discusses the benefits of Switchdev, a Linux kernel interface aimed at controlling network switches that typically require proprietary methods. It highlights challenges in managing physical ports due to embedded switches in devices such as home routers, and advocates for using Switchdev to standardize control methods across hardware. Vendor adoption is also addressed, with examples of companies like Mellanox and Broadcom contributing to the initiative to simplify network management and automation.
Automatically Renew Certificated In Your Kubernetes ClusterHungWei Chiu
?
The document discusses cert-manager, a Kubernetes certificate management tool that automates the issuance and renewal of certificates from various sources, including Let's Encrypt. It outlines the functionality of cert-manager, the architecture, and how to set it up within a Kubernetes cluster, focusing on DNS-based challenges for domain verification. The document provides practical guidance and references for using cert-manager effectively in a private network environment.
31. 思路範例
? 「我的 Pod 不能存取某個 Service 耶?」
? 跟 DNS 解析有無問題? 直接使? ClusterIP 試試看
? 跟 Service 轉換是否有關? 直接打 Pod IP 試試看?
? 跟節點是否有關係? 從同節點上的 Pod 打看看?
? 從節點直接打看看?
? 是否有 Network Policy?
32. 思路範例
? 「我的 Pod 不能存取某個 Service 耶?」
? 縮?範圍後如果還是不能釐清問題點,嘗試錄製封包
? 封包流向
? Server 沒收到
? Server 有收到,沒有回
? Server 有收到,也有回,但是 Client 沒有收到
33. 思路範例
? 「我的 Pod 不能存取某個 Service 耶?」
? 錄製的封包是否可以看出問題?
? 可能封包不如預期,被 Kernel 丟掉?
? 封包錄製不到?
? 問題發?於底層架構,請求其他?幫忙