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.
What Is Kubernetes | Kubernetes Introduction | Kubernetes Tutorial For Beginn...Edureka!
***** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification *****
This Edureka tutorial on "What is Kubernetes" will give you an introduction to one of the most popular Devops tool in the market - Kubernetes, and its importance in today's IT processes. This tutorial is ideal for beginners who want to get started with Kubernetes & DevOps. The following topics are covered in this training session:
1. Need for Kubernetes
2. What is Kubernetes and What it's not
3. How does Kubernetes work?
4. Use-Case: Kubernetes @ Pokemon Go
5. Hands-on: Deployment with Kubernetes
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
This document provides an agenda for a Rancher Rodeo presentation on March 18th, 2022. It will cover installing and demoing Rancher Server, deploying a Kubernetes cluster, and deploying sample applications. Presenters are listed along with their contact details. The objectives and prerequisites for the presentation are also outlined. A schedule of future Rancher Rodeo events is provided.
Rancher 2.0 uses Rancher Server and Agents to manage multiple Kubernetes clusters. Rancher Server stores all data as custom resources in Kubernetes and uses controllers to deploy and maintain clusters. It provides a unified API. Rancher Agents establish websockets for Rancher Server to proxy API requests and configure nodes by checking periodic configurations. Almost all logic resides in Rancher Server, making Agents simple TCP proxies.
Kubernetes for Beginners: An Introductory GuideBytemark
Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.
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.
Kubespray and Ansible can be used to automate the installation of Kubernetes in a production-ready environment. Kubespray provides tools to configure highly available Kubernetes clusters across multiple Linux distributions. Ansible is an IT automation tool that can deploy software and configure systems. The document then provides a 6 step guide for installing Kubernetes on Ubuntu using kubeadm, including installing Docker, kubeadm, kubelet and kubectl, disabling swap, configuring system parameters, initializing the cluster with kubeadm, and joining nodes. It also briefly explains Kubernetes architecture including the master node, worker nodes, addons, CNI, CRI, CSI and key concepts like pods, deployments, networking,
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
This document summarizes a presentation on avoiding configuration drift with Argo CD. It introduces configuration drift as differences between environments that are supposed to be similar, such as undocumented changes or "cowboy deployments". It then discusses how configuration drift can occur in Kubernetes and strategies like GitOps and Argo CD that use bidirectional synchronization between code repositories and clusters. This helps guarantee clusters always deploy the desired configuration from Git and can self-heal if manual changes are made. The presentation includes a live demo of these concepts using Rancher and Argo CD.
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.
My cloud native security talk I gave at Innotech Austin 2018. I cover container and Kubernetes security topics, security features in Kubernetes, including opensource projects you will want to consider while building and maintaining cloud native applications.
If you’re working with just a few containers, managing them isn't too complicated. But what if you have hundreds or thousands? Think about having to handle multiple upgrades for each container, keeping track of container and node state, available resources, and more. That’s where Kubernetes comes in. Kubernetes is an open source container management platform that helps you run containers at scale. This talk will cover Kubernetes components and show how to run applications on it.
This document provides an overview of OpenShift Container Platform. It describes OpenShift's architecture including containers, pods, services, routes and the master control plane. It also covers key OpenShift features like self-service administration, automation, security, logging, monitoring, networking and integration with external services.
The document discusses Kubernetes networking. It describes how Kubernetes networking allows pods to have routable IPs and communicate without NAT, unlike Docker networking which uses NAT. It covers how services provide stable virtual IPs to access pods, and how kube-proxy implements services by configuring iptables on nodes. It also discusses the DNS integration using SkyDNS and Ingress for layer 7 routing of HTTP traffic. Finally, it briefly mentions network plugins and how Kubernetes is designed to be open and customizable.
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
A Comprehensive Introduction to Kubernetes. This slide deck serves as the lecture portion of a full-day Workshop covering the architecture, concepts and components of Kubernetes. For the interactive portion, please see the tutorials here:
https://github.com/mrbobbytables/k8s-intro-tutorials
This document provides an overview of Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.
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 called Pods. ReplicaSets ensure that a specified number of pod replicas are running at any given time. Key components include Pods, Services for enabling network access to applications, and Deployments to update Pods and manage releases.
Kubernetes is an open-source container cluster manager that was originally developed by Google. It was created as a rewrite of Google's internal Borg system using Go. Kubernetes aims to provide a declarative deployment and management of containerized applications and services. It facilitates both automatic bin packing as well as self-healing of applications. Some key features include horizontal pod autoscaling, load balancing, rolling updates, and application lifecycle management.
- Rancher 2.X stores all data as Kubernetes custom resources (CRDs), allowing Rancher to manage Kubernetes clusters.
- Management controllers run in Rancher and handle cross-cluster resources, while user controllers run in each cluster and sync data between Rancher and that cluster.
- Cluster and node agents proxy API requests to Kubernetes clusters and report state changes back to Rancher. This allows Rancher to manage clusters that it does not run directly on.
This document discusses LINE's private cloud platform Verda and two new services: Verda Kubernetes as a Service (KaaS) and Verda Event Handler. Verda KaaS provides managed Kubernetes clusters to developers. It is built using Rancher and aims to simplify Kubernetes usage. Verda Event Handler aims to improve automation by defining operations as functions that are triggered by events. It will utilize Knative to provide a functions-as-a-service platform and improve visibility, operability, and maintenance of automation scripts. The status and future plans of these new services are also outlined.
Kubernetes is an open-source container management platform. It has a master-node architecture with control plane components like the API server on the master and node components like kubelet and kube-proxy on nodes. Kubernetes uses pods as the basic building block, which can contain one or more containers. Services provide discovery and load balancing for pods. Deployments manage pods and replicasets and provide declarative updates. Key concepts include volumes for persistent storage, namespaces for tenant isolation, labels for object tagging, and selector matching.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. Rancher is a container management platform that makes it easy to deploy and manage Kubernetes. This document provides an overview of Kubernetes and Rancher, demonstrates how to deploy a Kubernetes cluster using Rancher, and walks through running a sample Guestbook application on the cluster. It also discusses trends in adoption of Kubernetes by major cloud providers and how Rancher 2.0 simplifies cluster creation and management.
Docker on docker leveraging kubernetes in docker eeDocker, Inc.
This document summarizes Docker's experience dogfooding Docker Enterprise Edition 2.0 which focuses on Kubernetes. Key aspects covered include planning the migration process over several months, preparing infrastructure to support both Swarm and Kubernetes workloads, upgrading control plane components, and migrating select internal applications to Kubernetes. Benefits realized include leveraging Kubernetes features like pods, cronjobs, and the ability to provide feedback that improved the product before general release.
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 discusses managing containers and virtual machines in hybrid networking environments. It provides an overview of Kubernetes networking basics and challenges with Kubernetes and OpenStack interoperability. It then describes the OpenStack Kuryr project which bridges container networking and OpenStack Neutron. It discusses Kuryr components and modes of operation. It also briefly outlines Opendaylight COE architecture for integrating Kubernetes and OpenStack. Finally, it introduces the concept of a service mesh for managing communication between microservices and summarizes key components of the Istio service mesh.
Overview of OpenDaylight Container Orchestration Engine IntegrationMichelle Holley
Looking for a way to deploy a stable OpenStack Cloud Environment with Opendaylight at ease? This session is about learning to deploy a Cloud environment with OPNFV Fuel deployer. Fuel is a deployment tool which deploys a wide variety of distributions with third party plugins like OpenDayLight, while abstracting out complexities of the deployment. The intent of this session is to familiarize deployment of OpenStack with OpenDaylight.
About the presenter: Pramod Raghavendra Jayathirth is a software developer in OpenStack and OpenDayLight, working for OTC, SSG at Intel. His Area of Interest is in Cloud Networking and Applications. He has prior experience in Databases and his current focus is on developing features of Cloud Networking Platform. He holds Masters Degree from San Jose State University.
Kubernetes: від знайомства до використання у CI/CDStfalcon Meetups
Kubernetes: від знайомства до використання у CI/CD
Олександр Занічковський
Technical Lead у компанії SoftServe
14+ років досвіду розробки різноманітного програмного забезпечення, як для десктопа, так і для веб
Працював фріланс-програмістом та в команді
Цікавиться архітектурою ПЗ, автоматизацією процесів інтеграції та доставки нових версій продукту, хмарними технологіями
Віднедавна займається менторінгом майбутніх техлідів
У вільний від роботи час грає на гітарі і мріє про велику сцену
Олександр поділиться власним досвідом роботи з Kubernetes:
ознайомить з базовими поняттями та примітивами K8S
опише можливі сценарії використання Kubernetes для CI/CD на прикладі GitLab
покаже, як можна використовувати постійне сховище, збирати метрики контейнерів, використовувати Ingress для роутинга запитів за певними правилами
покаже, як можна самому встановити K8S для ознайомлення чи локальної роботи
IBM Bluemix Nice meetup #5 - 20170504 - Orchestrer Docker avec KubernetesIBM France Lab
This document provides an overview of Kubernetes (K8s), an open-source platform for automating deployment, scaling, and operations of application containers. It defines key Kubernetes terminology like nodes, master node, worker nodes, pods, replication controllers, services, secrets and proxies. Diagrams show the Kubernetes architecture with the master node controlling and managing the cluster through kubectl and REST APIs, and worker nodes running pods and containers managed by kubelet and kube-proxy.
This talk is a gentle introduction to the core concepts required to successfully deploy your first few apps to Kubernetes, followed by an overview of the Kubernetes architecture to enable you to understand how to deploy a cluster yourself. The tool kubeadm is then used to easily set up Kubernetes clusters on any computers running Linux. We'll then try out the theory we learned by deploying some Pods, Deployments and Services to our new cluster and observing their behaviour.
Project Gardener - EclipseCon Europe - 2018-10-23msohn
Open Source project Gardener (https://gardener.cloud) is a production-grade Kubernetes-as-a-Service management tool that works across various cloud-platforms (e.g, AWS, Azure, GCP, Alibaba & SAP Datacenters) and on-premise (e.g. with OpenStack)
How to Install and Use Kubernetes by Weaveworks Weaveworks
This document provides an overview of how to install and use Kubernetes. It discusses key Kubernetes concepts like pods, deployments, services and how they relate. It also summarizes the Kubernetes architecture and components. The presentation encourages attendees to join the Weave user group for more training on continuous delivery, monitoring and network policy in Kubernetes.
Kubernetes Clusters as a Service with GardenerQAware GmbH
Cloud Native Night November 2018, Munich: Talk by Dirk Marwinski (SAP).
Join our Meetup: www.meetup.com/cloud-native-muc
Abstract: There are many Open Source tools which help in creating and updating single Kubernetes clusters. Corporations usually require many clusters, depending on their size they may require hundreds or even thousands of clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage, and keep all of them alive and up-to-date.
That is exactly what open source project “Gardener” focuses on. It is not just another provisioning tool, but it is rather designed to manage Kubernetes clusters as a service. It provides Kubernetes-conformant clusters on various cloud providers and the ability to maintain hundreds or thousands of them at scale. At SAP, we face this heterogeneous multi-cloud & on-premise challenge not only in our own platform, but also encounter the same demand at all our larger and smaller customers implementing Kubernetes & Cloud Native.
Inspired by the possibilities of Kubernetes and the ability to self-host, the foundation of Gardener is Kubernetes itself. While self-hosting, as in, to run Kubernetes components inside Kubernetes is a popular topic in the community, we apply a special pattern catering to the needs of operating a huge number of clusters with minimal total cost of ownership.
In this session Dirk will provide a comprehensive overview of Gardener, the underlying concepts, and talk about interesting implementation details. In addition there will be a hands-on sessions where attendants will be given free access to a Gardener instance and given the opportunity to dynamically create Kubernetes cluster and test them.
Serverless is a good pattern when it comes to saving infrastructure resources: why should you run apps when there’s nothing to do? The open source project Knative is often used to run functions as serverless apps in Kubernetes clusters.
In this talk, you’ll see how to leverage Knative for Kubernetes apps, not only functions. Check out how to apply serverless patterns to an existing Spring Boot / Nodejs app (backend / frontend) with a live demo.
CN Asturias - Stateful application for kubernetes Cédrick Lunven
The document discusses running Apache Cassandra on Kubernetes with K8ssandra. K8ssandra combines Kubernetes and Cassandra to provide a scalable data store with an API layer and administration tools. It addresses challenges of running stateful applications in containers by providing scaling, consistency and resilience. K8ssandra allows Cassandra to be deployed in a cloud-native way on Kubernetes and provides easy and secure data access.
K8s in 3h - Kubernetes Fundamentals TrainingPiotr Perzyna
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. This training helps you understand key concepts within 3 hours.
JJUG CCC 2018 Fall was held in Fukuoka on December 15th. The event featured talks about LINE KYOTO, Java, DateTimeFormatter, JavaDoc, Java generics, and LINE Growth Technology. LINE Growth Technology aims to help LINE grow through technology.
This document discusses replacing RxJava with Kotlin Coroutines for asynchronous programming. It provides an overview of RxJava and Coroutines, compares their approaches, and shows how to write asynchronous code using Coroutines instead of RxJava. It also discusses how to integrate Coroutines with Retrofit and the MVVM pattern.
Use Kotlin scripts and Clova SDK to build your Clova extensionLINE Corporation
The document discusses using Kotlin scripts to create a Clova client. It shows how to evaluate Kotlin code from a script using a ScriptEngine to define a Clova client configuration with launch, intent, and session ended handlers. The Clova client created in the script can then be used to handle Clova requests and responses.
LINE Shopping provides an e-commerce platform in Taiwan. It has over 9 million monthly visitors, a 40% repurchase rate, and lists over 26 million products from over 1,300 brands. The document discusses how to test the LINE Shopping platform, including unit, API, and UI tests. It also describes tools like Just-API and Pyresttest that can be used to test GraphQL and REST APIs respectively using YAML configuration files.
This document discusses automating Google Analytics (GA) testing for LINE TODAY. It proposes using Robotframework with Appium to simulate user actions in the LINE app and confirm that GA events are recorded correctly. It provides details on initializing the GA Reporting API to retrieve reports and examples of dimensions, metrics, and sample report requests. Code snippets demonstrate how to set up a service account and get credentials to access the GA Reporting API. The goal is to test new features for side effects and avoid human errors by automating the process of validating GA events.
This document provides an overview of UI automation testing with JUnit 5. It introduces the JUnit 5 framework, including its architecture, annotations, extension model, parameter resolver, and life cycle. It also discusses how to configure JUnit 5 in Gradle projects. Additionally, it briefly mentions other tools that can be used for UI testing, such as Appium, Ayachan, Ayavue, and image recognition libraries. The document aims to help people understand and get started with JUnit 5 for UI test automation.
The document summarizes a test night event held by LINE Fukuoka to discuss UI test automation. The event covered testing browser, iOS, and Android applications using Selenium for browsers and Appium for mobile. Attendees learned about template matching and feature detection techniques for UI testing, including pixel-perfect template matching versus feature detection which is scale invariant and can match elements that are 30-200% different in size. The techniques discussed were demonstrated using A-KAZE feature detection with OpenCV3 in Java.
This document proposes building a LINE app that provides a customized interface for the LINE TODAY news service using web views. It discusses three versions of the app with increasing features:
v1.0 uses customized web views for all pages except onboarding and login. v2.0 adds easier navigation with a bottom navigation bar. v3.0 enhances video with native video pages and a player. The document also discusses using Apache Kafka to build secondary indices for the app's database to enable features like retrieving a user's past posts.
This document discusses using a LINE registration chatbot for an event. The chatbot allows registration, check-in, and provides information about event activities online or offline. Users can access the chatbot through the LINE app on their mobile device or desktop website. It uses technologies like beacons, QR codes, and rich menus to enable simple registration and check-in as well as interact with information booths at the event.
This document introduces a managed Kubernetes as a service (KAAS) that provides concise summaries in 3 sentences or less that provide the high level and essential information from the document. The KAAS addresses problems with different tooling, versions, and configurations across clusters by providing a standardized Kubernetes platform. It aims to reduce operation costs and improve quality by ensuring high availability, performance optimization, and private cloud integration. The KAAS leverages Rancher for declarative operations and integrates custom controllers to enable load balancing, persistent storage, and other private cloud services within Kubernetes clusters.
This document discusses DevOps practices for software testing. It emphasizes the importance of continuous testing throughout the development lifecycle to reduce risk and ensure new features do not break existing functionality. Testing approaches like unit testing, integration testing, and automation are recommended to support faster release cycles and more agile workflows. The document concludes by advertising open roles for QA engineers.
This document discusses LINE's plans to introduce a token economy using its own cryptocurrency called LINK. It proposes that LINK can help evolve the relationship between users and services by creating a global platform not restricted by national borders. The three key aspects of the LINK ecosystem are that it will use a single token for all dApps and services, LINK tokens will be issued as rewards for contributions to the ecosystem, and LINE will offer a blockchain platform called LINK Chain to make dApp development and use more user-friendly. The goal is for LINK to facilitate a connected digital economy across LINE's various services and applications.
This document summarizes LINE Things, a platform that allows devices to connect and communicate through LINE using Bluetooth Low Energy (BLE). It discusses how LINE Things supports both online and offline devices. For offline devices, the LINE app acts as a proxy to allow communication between devices and services via BLE and web APIs. It also introduces LINE Things LIFF BLE, which allows BLE communication between devices and LIFF apps using the LIFF SDK BLE plugin. Developers can use LIFF BLE to easily build apps to read, write, and receive notifications from connected BLE devices.
1. LINE Pay is a digital wallet service that allows users to make payments and transfers between accounts without fees.
2. The service has over 17 million registered electronic payment cards.
3. Users can make transfers between LINE Pay accounts, split bills with groups of people, and pay for transportation, goods, services, and bills directly from their LINE Pay accounts.
The document summarizes new features and services released by LINE in 2018 to improve messaging experiences and build better bots and services. Key releases included Flex Messages, LIFF apps, quick replies, and video messages. It also discusses how developers can utilize social APIs, personalization, and audiences to engage and notify users.
Choose our Linux Web Hosting for a seamless and successful online presencerajancomputerfbd
Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently.
Visit- https://onliveserver.com/linux-web-hosting/
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
How Social Media Hackers Help You to See Your Wife's Message.pdfHackersList
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
Best Practices for Effectively Running dbt in Airflow.pdfTatiana Al-Chueyr
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
Some facts about WPRiders and why we are one of the best firms around:
More than 700 five-star reviews! You can check them here.
1500 WordPress projects delivered.
We respond 80% faster than other firms! Data provided by Freshdesk.
We’ve been in business since 2015.
We are located in 7 countries and have 22 team members.
With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce.
Our team members are:
- highly experienced developers (employees & contractors with 5 -10+ years of experience),
- great designers with an eye for UX/UI with 10+ years of experience
- project managers with development background who speak both tech and non-tech
- QA specialists
- Conversion Rate Optimisation - CRO experts
They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals.
At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
Best Programming Language for Civil EngineersAwais Yaseen
The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era.
Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
2. Who Are You: Yuki Nishiwaki
● Develop/Operate OpenStack based Private Cloud
● Plan/Develop/Operate Kubernetes as a Service
● Excitingly simple multi-path OpenStack Networking (May 2018, OpenStack Summit)
Recent Talk
Current Role
4. The position against k8s from me
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OpenStack based Private Cloud
Operator/Developer for Private Cloud
Server Network Database …..
Me
New Resource Type
5. Verda Kubernetes as a Service - Background
● We’ve seen about 600 k8s node users deployed/used on our Private Cloud
● Many teams find easy way/struggle to use/operate k8s
Problem description
● Operating k8s is not such a small burden every
developer can handle in spare time
● Knowledge of k8s operation is fragmented
New Resource Type
For Verda User
6. Verda Kubernetes as a Service - Target
● Provide stable Kubernetes Cluster to Verd User
○ Don’t have to automate everything but we will take responsibility to operate
● Provide API to Verda User
○ CREATE/DELETE Kubernetes Cluster (UPGRADE is not the target at the moment)
○ ADD/REMOVE Node
● Provide “Service Desk”
○ To advise/consider how to use with Verda User(Application developer)
New Resource Type
For Verda User
7. Verda Kubernetes as a Service - Status of Project
● Start Project since May 2018
○ Pretty late, relatively
● Decided to utilize existing software(OSS)
○ Reduce lead time as much as possible
○ Rancher 2.0 is one of the candidates we will use
■ We are thinking to use Rancher 2.0 for Phase 1
● Still deciding which is good to use for managing k8s part
○ Or Will we have to develop from scratch?
8. Less dependent design - Still considering
Verda Kubernetes as a Service
Provider Plugin
Rancher
API
Our own API schema
????
Cluster
Node We use Rancher as tool to provide
* Create k8s
* Monitor k8s
* Update k8s
* Add Node to k8s cluster
* Remove Node from k8s cluster
????
9. Roadmap
Phase1 (2018/09/01)
* This is First release
* No change for Kubernetes/Rancher
* Support only basic k8s cluster
* Support Limited Number of Cluster
* Train ourselves
* For Rancher (because we depended)
Phase3 (Planning)
* Enhance k8s support
* CRD/Controller for in-house Component
* Prepare skeleton template to make it easy
to start development
* Consider solution about how k8s cover
whole system including VM (kubevirt)
Phase 1
Phase2 (Planning)
* Enhance VKS control plane(Tune Rancher)
* Support More Clusters
* Enhance monitoring item
* Enhance GUI
* Enhance k8s support
* Support Type Loadbalancer for in-house LB
* Support Persistent Volume
* Optimizing Container Networking
* Train ourselves
* For Kubernetes, Etcd
Phase 3Phase 2
11. What’s Rancher?
● Container Management Tool
● Support to deploy Container Orchestration Tool itself like Kubernetes
● Make “Container Orchestration itself” abstract and Provide rich UI
● UI allow you to deploy your container workload easier than native console
● UI allow you to use well-tested catalog
12. Rancher 2.0 Released (May 1 2018)
● Focus on using Kubernetes as a Container Orchestration Platform
● Re-design to work on Kubernetes from scratch
● Re-Implement from scratch
● Introduce Rancher Kubernetes Engine (RKE)
● Unified Cluster Management including GKE, EKS… as well as RKE
● Application Workload Management
13. Rancher 2.0
● Focus on using Kubernetes as a Container Orchestration Platform
● Re-design to work on Kubernetes from scratch
● Re-Implement from scratch
● Introduce Rancher Kubernetes Engine (RKE)
● Unified Cluster Management including GKE, EKS… as well as RKE
● Application Workload Management
Our Interest as a backend
For our “k8s as a service“
14. Rancher 2.0
● Focus on using Kubernetes as a Container Orchestration Platform
● Re-design to work on Kubernetes from scratch
○ Don’t have to understand multiple container orchestrators
● Re-Implement from scratch
○ Readable amount of code (about 50,000~80,000 lines except for vendoring)
● Introduce Rancher Kubernetes Engine (RKE)
○ Support Deploy/Upgrade/Monitor Kubernetes cluster
○ Less requirements for the environment to build k8s
● Unified Cluster Management including GKE, EKS… as well as RKE
● Application Workload Management
Our Interest as a backend
For our “k8s as a service“
15. As a context: backend for Verda K8s as a Service
● In our use case, User/Operator for Rancher is different
○ Operator: Cloud Operator (us)
○ User: Application Developers for LINE Service
● Down time of Rancher affect to many users
Need to know well about How Rancher works
19. 1. Rancher Overview
1. Rancher Overview
1.1. Casts in Rancher 2.0
1.2. What Server does?
1.3. What Agent does?
1.4. Summary
2. Rancher Server Internal
2.1. Rancher API
2.2. Rancher Controllers
2.3. Example Controllers
20. 1.1. Casts in Rancher 2.0
rancher
server
Node1 Node2 Node3
rancher
node-agent
rancher
node-agent
rancher
node-agent
rancher
cluster-agent➢ Rancher Server
➢ Rancher Cluster Agent
➢ Rancher Node Agent
Parent Kubernetes
Child Kubernetes
deployed by Rancher
Child Kubernetes
deployed by Rancher
Parent k8s: k8s working with rancher
Child k8s: k8s deployed by rancher
21. 1.2. What Server does?
Server
API Controllers
CRD
Kind: Cluster
Node1 Node2 Node3
rancher
node-agent
rancher
node-agent
rancher
node-agent
rancher
cluster-agent
Child Kubernetes
deployed by Rancher
Child Kubernetes
deployed by Rancher
CRD
Kind: Node
All data stored
as CRD in k8s
Watch CRD
Deploy
Monitor Cluster/Sync Data
Call docker/k8s API via websocket, If need.
Don’t access to docker/k8s api directly from rancher server
Websocket session
Point 2 Point 3
Point 4
Point 5
Point 1
Provide API
22. 1.2. What Server does?
Server
API Controllers
CRD
Kind: Cluster
Node1 Node2 Node3
rancher
node-agent
rancher
node-agent
rancher
node-agent
rancher
cluster-agent
Child Kubernetes
deployed by Rancher
Child Kubernetes
deployed by Rancher
CRD
Kind: Node
Provide unified access to multiple k8s cluster
Point 6
23. 1.3. What Agent does?
Node Agent
Node A
Cluster Agent
Child Kubernetes
Node Agent
Node B
Parent Kubernetes
Server
Dialer API
(pkg/dialer)
RkeNodeConfig API
(pkg/rkenodeconfigserver)
Controllers
websocket session
(/v3/connect)
/v3/connect/config
Use session
For access
(k8s, docker)
Rancher Agent basically establishes websocket to provide TCP Proxy
and just checks NodeConfig periodically. Almost all configurations
will be done/triggered by controllers through websocket
Point 3
Establish websocket session
Point 1 Provide TCP Proxy
via websocket
Point 2
Check If file,container need to
create/run or not periodically
24. 1.4. Rancher 2.0 overview summary
Almost all logics are in Rancher Server and Agent is just sitting as a TCP Proxy
Server in k8s deployed for Rancher Server
● Rancher Server
a. All data for Rancher stored as CRD in Kubernetes (translating Rancher’s resource into CRD)
b. Rancher’s API is kind of proxy to Kubernetes API
c. Rancher have various controllers to watch CRD resources in parent k8s to deploy k8s
(Management Controllers)
d. Rancher have various controllers to watch CRD resources in parent k8s to inject some data
to k8s deployed (User Controllers)
e. Use websocket session to access deployed Node or K8s Cluster.
● Rancher Agent
a. Establish websocket to provide TCP Proxy
b. Check periodically if node need to create something file or run something container
Parent k8s: k8s working with rancher
Child k8s: k8s deployed by rancher
If we want to know more about How Rancher maintain
Kubernetes Cluster, It’s enough to see just Rancher Server.
Because Agent is just to provide proxy.
25. 2. Rancher Server
Internal
1. Rancher Overview
1.1. Casts in Rancher 2.0
1.2. What Server does?
1.3. What Agent does?
1.4. Summary
2. Rancher Server Internal
2.1. Rancher API
2.2. Rancher Controllers
2.3. Example Controllers
26. 2.1. Rancher API
Server
API Controllers
CRD
Kind: Cluster
CRD
Kind: Node
Node1 Node2 Node3
rancher
node-agent
rancher
node-agent
rancher
node-agent
rancher
cluster-agent
Child Kubernetes
deployed by Rancher
All data stored
as CRD in k8s
Point 2
Point 1
Provide API
27. 5 types of API
Server
Controllers
API
Parent Kubernetes
➢ API can be classified into 5 types
➢ Some API is for only Agent
○ API for user
■ Management
■ Auth
■ K8s Proxy
○ API for agent
■ Dialer
■ RKE Node Config
Auth API
Management API
K8s Proxy API
Dialer API
RKE Node Config API
Main
/v3-public
/v3/token
/v3/
/k8s/clusters
/v3/connect
/v3/connect/register
/v3/connect/config Agent
User
2.1. Rancher API
28. Management API
Server
Controllers
API
Parent Kubernetes
Auth API
Management API
K8s Proxy API
Dialer API
RKE Node Config API
Main
/v3/
Child Kubernetes
deployed by Rancher
Create/Update/Get
Resource
Create/Update/Get
Resource
POST
/v3/cluster
POST
/v3/project/
<cluster-id>:<project-id>/pods
CRD
Cluster
PodAgent
depending on Path
Use TCP Proxy
Cluster Agent provide
2.1. Rancher API
29. K8s Proxy API
Server
API
Parent Kubernetes
Management API
Dialer API
RKE Node Config API
Main
Child Kubernetes
deployed by Rancher
CRD
Token
Auth API
Authenticate with User CRD
resource for Rancher API
K8s Proxy API
Controllers
Websocket
Sessions
Agent
Call Child K8s API via TCP Proxy via Websocket
GET /k8s/clusters/<cluster>
/api/v1/componentstatuses
/k8s/clusters
GET
/api/v1/componentstatuses
2.1. Rancher API
30. Dialer API
Server
API
Parent Kubernetes
Management API
RKE Node Config API
Main
Child Kubernetes
deployed by Rancher
Auth API
K8s Proxy API
Controllers
Websocket
Sessions
Agent
Dialer API
/v3/connect
/v3/connect/register
wss://<rancher-server>/v3/connect
CRD
ClusterRegisterToken
Start Provide
TCP Proxy via websocket
Check which cluster
Does agent belong to
Add websocket session for “K8s Proxy” and
Controllers to use TCP Proxy
2.1. Rancher API
31. RKE Node Config API
Server
API
Parent Kubernetes
Management API
Main
Child Kubernetes
deployed by Rancher
Auth API
K8s Proxy API
Controllers
Agent
Dialer API
RKE Node Config API/v3/connect/config
CRD
Cluster
RKE
library
Check Config
Generate
NodeConfig
According to NodeConfig
- Create File
- Create container via docker
2.1. Rancher API
32. 2.2. Rancher Controllers
Server
API Controllers
CRD
Kind: Cluster
Node1 Node2 Node3
rancher
node-agent
rancher
node-agent
rancher
node-agent
rancher
cluster-agent
Child Kubernetes
deployed by Rancher
CRD
Kind: Node
Watch CRD
Deploy
Monitor Cluster/Sync Data
Call docker/k8s API via websocket, If need.
Don’t access to docker/k8s api directly from rancher server
Websocket session
Point 3
Point 4
Point 5
33. API Controllers
Management
Controllers
Cluster(User)
Controllers
Workload Controllers
4 types of Controllers
Server
API
Controllers
Parent Kubernetes
Create
Resource
Watch
Resource
➢ Rancher Controllers can be classified
into 4 types of group
➢ Each group have own trigger to start
➢ Triggered when Server start
○ API Controllers
○ Management Controllers
➢ Triggered when new Cluster detected
○ Cluster(User) Controllers
○ Workload Controllers
2.2. Rancher Controllers
34. API Controllers
Management
Controllers
Cluster(User)
Controllers
Workload Controllers
API Controllers
Server
API
Controllers
Parent Kubernetes
Create
Resource
Watch
Resource
Configure
➢ Watch CRD resource related to API
Server Configuration
○ settings
○ dynamicschemas
○ nodedrivers
➢ Configure API server according to
the change of resource
2.2. Rancher Controllers
35. API Controllers
Management
Controllers
Cluster(User)
Controllers
Workload Controllers
Management Controllers
Server
API
Controllers
Parent Kubernetes
Create
Resource
Watch
Resource
Provisioning/Update Cluster
Start Cluster(User),
Workload Controllers
Child Kubernetes
deployed by Rancher
➢ Watch Cluster/Node related CRD
➢ Provision/Update Cluster according
to the change of resource
➢ After Provision, Start Cluster(User),
Workload Controllers to start data
sync and monitor
2.2. Rancher Controllers
36. API Controllers
Management
Controllers
Cluster(User)
Controllers
Workload Controllers
Cluster(User) Controllers
Child Kubernetes
deployed by Rancher
Server
Controllers
Parent Kubernetes
Create
Resource
Watch
ResourceCreate
Resource
Watch
Resource
Update/Create CRD
According to Child K8s
Update/Create
Resource including Pod
According to Parent K8s CRD
36
Cluster CRD
Secret
Alerts CRD
Status
Spec
Node
For updating CRD in Parent K8s
Resource Sync between Parent and Child K8s
2.2. Rancher Controllers
37. API Controllers
Management
Controllers
Cluster(User)
Controllers
Workload Controllers
Workload Controllers
Child Kubernetes
deployed by Rancher
Server
API
Controllers
Parent Kubernetes
Create
Resource
Watch
ResourceCreate
Resource
Watch
Resource
The Simple Custom Controller to extend K8s
➢ Watch only resource@Child K8s
➢ Create/Update additional resource
➢ These Controller are more like
enhancing K8s feature itself
2.2. Rancher Controllers
39. Cluster Controller Implement (pkg/controllers/management)
Parent k8s
Server
Cluster Controller
(one of management controllers)
handlers
lifecycles
cluster-provisioner-controller
cluster-agent-controller
cluster-scoped-gc
cluster-deploy
cluster-stats
CRD
Cluster A
Informer
Child k8s
Cluster A
watch
Execute
deploy
Node Agent Cluster Agent
deploy
Cluster(User) Controllers
Alerts ingress ...
Run Cluster Controllers for Cluster A
CRD
Node A
CRD
Node B
Update Cluster Collect status
2.3. Example Controllers
40. Node Controller Implement (pkg/controllers/management)
Parent k8s
CRD
Node A
CRD
Node B
Server
Node Controller
(one of management controllers)
handlers
lifecycles
node-controller
cluster-provisioner-controller
cluster-stats
nodepool-provisioner
Informer
watch
Execute
VM
Node Agent
Managements
Controllers
Cluster
Controller
NodePool
Controller
Just trigger handlers
Run Node Agent
Create VM If
doesn’t exist
Call wss://<server>/v3/connect/register
To register node into specific cluster
docker-machine
trigger handlers
Create VM
2.3. Example Controllers
41. Cluster(Project)Logging Controller Implement
(pkg/controller/user/logging/)
Parent k8s CRD
ClusterLogging
Server
Child k8s
ClusterLogging Controller
lifecycle
cluster-logging-controllerInformer
Execute
ProjectLogging Controller
Almost same as
ClusterLogging Controller
Watch
Daemonset
cluster.conf
ConfigMap
project.conf
ConfigMap
/var/lib/docker/containers/
/var/log/containers/
/var/log/pods
/var/lib/rancher/rke/log
HostPath
Mount
Mount
Mount
Deploy
Update
Out of Scope
Send logs
2.3. Example Controllers
42. How I look Rancher 2.0
In the context of backend for Verda k8s as a Service
43. Good thing: we are thinking to utilize
● Less requirement for environment to run
○ but this cause some scalability limitation at the same time though...
● There are some interesting Controllers like alert, logging, eventsync …
○ We can utilize these feature to manage K8s Cluster
● Easy to modify/add Rancher behaviour thanks to Norman Framework
○ We will utilize this framework to extend even for k8s
44. Not good thing: we are thinking to improve
● Poor Document (Currently reading code is only way to know)
○ Norman Framework that Rancher actively used is also less document
● Doesn’t support Active-Active HA
○ Scalability limitation cannot be avoided
● 1 binary that have ton of features make it difficult to do performance tuning
● Even for K8s Proxy API, we can not deploy multiple process because that
feature depend on websocket session to cluster-agent
● Poor monitoring relying on kubelet and componentstatus
● Upgrading Strategy is just to replace old container with new one. Is it enough?
https://github.com/rancher/rke/blob/master/services/kubeapi.go#L15 , https://github.com/rancher/rke/blob/master/docker/docker.go#L72
46. Future Works
● Use Rancher 2.0 as a backend to manage k8s without any change at Phase 1
○ Modify Rancher and Give feedback to community in the long run after Phase 1 release
■ Enhance scalability
■ Enhance monitoring
■ Cut(or Disable) many unneeded features to us
● Enrich Kubernetes deployed by RKE
○ Support Type Loadbalancer for our XDP based Loadbalancer
○ Support Persistent Volume
○ Add CRD/Controller to support our In-house Component like Kafka, Database as a Service
■ We want Kubernetes to be orchestration tool for System not for Container
● Need more k8s/etcd itself knowledge
○ !!!!Read Code!!!! Not only just books/documents!!
■ Kubernetes
■ Etcd
47. We are hiring people!!!
● Love to understand/customize OSS at source code level
○ Kubernetes
○ Etcd
○ OpenStack
○ Rancher
○ Ceph...
https://linecorp.com/ja/career/position/827
https://linecorp.com/ja/career/position/564
48. Appendix
I straighten my understandings as a diagram.
It’s available in (https://github.com/ukinau/rancher-analyse)
49. VKS-API
Server
VKS-API
Server
K8s Proxy
K8s Proxy
XXX API
After start service, see the
performance and consider
to separate/scaleWithout touching anything
If we can not scale
Rancher Server anymore,
we will add one more
cluster.
Phase 1 Phase 2
Rancher Scalability Improvement
Scheduling
Other
Datastore
Use other datastore
for some data
Extra Monitoring
Enhance
Monitoring
Point 2
Point 1
Point 3
Point 4Appendix
50. Support Type Loadbalancer for in-house LB
We have our own LB
implementation for scaling
Deploy/Configure
Deploy Service with Type Loadbalancer
for our in-house LB
Type
Loadbalancer
In-house LB *1
*1 https://www.janog.gr.jp/meeting/janog40/application/files/6115/0105/4928/janog40_sp6lb.pdf
Appendix
51. Be friend with In-house Components
We provide many type
of managed as service
Deploy/Configure
Deploy Application with
information for managed service
Update IP ACL….
And so on
User configure
managed service
separately from
application lifecycle
Appendix
52. Be friend with In-house Components
Deploy/Configure
Deploy Application with CRD
CRD for
In-house
Component
Custom
Controller
User can configure
managed service with
application lifecycle
Appendix