Kubernetes Networking

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.

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. Kubernetes can manage pods across a cluster of machines, providing scheduling, deployment, scaling, load balancing, volume mounting and networking. It is widely used by companies like Google, CERN and in large projects like processing images and analyzing particle interactions. Kubernetes is portable, can span multiple cloud providers, and continues growing to support new workloads and use cases.

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.

The document discusses different Docker networking drivers including null, host, bridge, overlay, and macvlan/ipvlan networks. It provides examples of creating networks with each driver and how containers on different networks will connect and obtain IPs. Specifically, it shows how the bridge driver sets up a private Docker bridge network (docker0 by default) and how overlay networks use VXLAN tunnels to connect containers across multiple Docker daemons.

In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this book, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.

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.

Presentation by Michael Pleshakov from NGINX to GDG Cloud Düsseldorf Meetup group on using NGINX as an Ingress Controller for Kubernetes. This presentation is for Kubernetes users, looking to deliver applications on Kubernetes in production. You will learn how to: - install the Ingress Controller through Kubernetes manifests or Helm; - configure the Ingress Controller to load balance HTTP and TCP/UDP applications; - monitor the Ingress Controller using Prometheus; - troubleshoot the Ingress Controller in case of problems; - extend the Ingress Controller to support advanced load balancing requirements.

Helm is a package manager for Kubernetes that allows for easy installation, upgrade, and management of Kubernetes applications. It provides repeatability, reliability, and simplifies deploying applications across multiple Kubernetes environments. Helm originated from an internal hackathon at Deis and was jointly developed by Google and Deis. It is now maintained by the Cloud Native Computing Foundation. Helm consists of a client that interacts with the Tiller server running inside the Kubernetes cluster to manage application lifecycles using charts, which are packages containing Kubernetes resource definitions.

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.

The document provides an overview of Red Hat OpenShift Container Platform, including: - OpenShift provides a fully automated Kubernetes container platform for any infrastructure. - It offers integrated services like monitoring, logging, routing, and a container registry out of the box. - The architecture runs everything in pods on worker nodes, with masters managing the control plane using Kubernetes APIs and OpenShift services. - Key concepts include pods, services, routes, projects, configs and secrets that enable application deployment and management.

This document discusses OpenShift Container Platform, a platform as a service (PaaS) that provides a full development and deployment platform for applications. It allows developers to easily manage application dependencies and development environments across basic infrastructure, public clouds, and production servers. OpenShift provides container orchestration using Kubernetes along with developer tools and a user experience to support DevOps practices like continuous integration/delivery.

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.

This document discusses Kubernetes networking and security. It covers Docker networking and how all containers can communicate without NAT. It also discusses Kubernetes networking using Kubenet, Flannel, and Calico. Specifically, it explains how Kubenet provides networking between pods, how Flannel assigns each host a subnet and routes traffic between nodes, and how Calico uses IPIP encapsulation or routing to provide connectivity between pods.

This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes basic Kubernetes components like pods, replication controllers, services, deployments, and replica sets. It explains how Kubernetes is used to group and schedule containers, maintain desired pod counts, update applications seamlessly with rolling updates, and more. The document also notes Kubernetes was inspired by Google's internal container systems and can manage applications across cloud and bare-metal environments.

OpenShift cloud technology high-level overview given at the Athens Area Software Developer Meet-up in Athens, Georgia, January 2014.

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.

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. Using the concepts of "labels" and "pods", it groups the containers which make up an application into logical units for easy management and discovery.

With the rise of modern containers comes new problems to solve – especially in networking. Numerous container SDN solutions have recently entered the market, each best suited for a particular environment. Combined with multiple container runtimes and orchestrators available today, there exists a need for a common layer to allow interoperability between them and the network solutions. As different environments demand different networking solutions, multiple vendors and viewpoints look to a specification to help guide interoperability. Container Network Interface (CNI) is a specification started by CoreOS with the input from the wider open source community aimed to make network plugins interoperable between container execution engines. It aims to be as common and vendor-neutral as possible to support a wide variety of networking options — from MACVLAN to modern SDNs such as Weave and flannel. CNI is growing in popularity. It got its start as a network plugin layer for rkt, a container runtime from CoreOS. Today rkt ships with multiple CNI plugins allowing users to take advantage of virtual switching, MACVLAN and IPVLAN as well as multiple IP management strategies, including DHCP. CNI is getting even wider adoption with Kubernetes adding support for it. Kubernetes accelerates development cycles while simplifying operations, and with support for CNI is taking the next step toward a common ground for networking. For continued success toward interoperability, Kubernetes users can come to this session to learn the CNI basics. This talk will cover the CNI interface, including an example of how to build a simple plugin. It will also show Kubernetes users how CNI can be used to solve their networking challenges and how they can get involved. KubeCon schedule link: http://sched.co/4VAo

Rancher Meetup Tokyo 5での資料です。

Presented on March 16, 2017 through O'Reilly - http://www.oreilly.com/pub/e/3864 Modern day applications bring modern day infrastructure requirements. Whether you bring your own or you use your cloud provider's managed load-balancing services, even moderately sophisticated applications are likely to find their needs underserved.

2017/3/15 Rancher meetup#5 の発表資料です。 社内向けテナントサービス基盤としてRancherを活用した事例を紹介します。 I introduce our case study of tenant services using Rancher in our company.

Trilha Containers How we figured out we had a SRE team at - Traefik: Dynamic container load balancer for containers

This document summarizes a talk about building, shipping, and running applications in production using containers on AWS. It discusses migrating an existing service from an on-premise data center to AWS, refactoring the application into microservices and containerizing it using Docker. It then covers setting up a Kubernetes cluster on CoreOS to orchestrate the containers across AWS, addressing challenges like application state, updates and monitoring. Terraform is presented as a way to define infrastructure as code and provision AWS resources. Logging, metrics collection and monitoring the Kubernetes cluster are also discussed.

Kubernetes makes deploying code easy, but conflating deploys and releases is risky. Using smarter proxies you can dramatically reduce the risk of a release, which in turn helps you ship code to customers faster.

Load balancing is an important part of any resilient web application. Kubernetes supports a few options for external load balancing, but they are limited in features. After a brief discussion of those options and the features they lack, we’ll show how to build an advanced load balancing solution for Kubernetes on top of NGINX, utilizing Kubernetes features including Ingress, Annotations, and ConfigMap. We’ll conclude with a demo of how to use NGINX and NGINX Plus to expose services to the Internet. Sched Link: http://sched.co/6Bc9

The document discusses cloud networking, software-defined networking (SDN), and OpenStack. It covers characteristics of cloud networking like multi-tenancy and east-west traffic. SDN is described as enabling API-driven networking. Issues with OpenStack networking are mentioned. The document raises questions about SDN standards, controllers, and viable SDN solutions.

Overview of networking requirements of Kubernetes cluster, Service Discovery using kubeDNS, Load Balancing, Network Plugins and more extensions.

This document summarizes Docker's growth over 15 months, including its community size, downloads, projects on GitHub, enterprise support offerings, and the Docker platform which includes the Docker Engine, Docker Hub, and partnerships. It also provides overviews of key Docker technologies like libcontainer, libchan, libswarm, and how images work in Docker.

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,

Containers are everywhere these days. Many of us are containerizing our applications to take advantage of the ease of a single artifact, but what can we do to make deploying these containers to a fleet of servers easier? Kubernetes is arguably the most popular container orchestration system to date. Kubernetes was born out of a decade of research at Google and has seen success; by itself as a fantastic way to orchestrate containers across multiple machines and as a component in other platforms. This talk will begin with the anatomy and setup of a Kubernetes cluster. We'll demonstrate (live) taking a container containing a simple web service and launch our application into a small Kubernetes cluster. Next we'll perform a rolling update to deploy a new container version with zero downtime. Also, we'll check out some cool debugging features Kubernetes provides over the course of our demo.

The document provides an overview of the logical architecture of Kubernetes. It describes the main components that make up the Kubernetes control plane (API server, scheduler, etc.) and Kubernetes workers, as well as core Kubernetes objects like pods, replica sets, deployments, services, ingress and configmaps/secrets. It also touches on controllers, operators, Kubernetes manifests and provides an example manifest configuration.

Communication Amongst Microservices: Kubernetes, Istio, and Spring Cloud with Angela Chin at SpringOne Tour 2019

Sprekers: Stijn Van den Enden & Stijn Wijndaele (ACA IT-Solutions) DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe. In deze avondconferentie werd, na een korte toelichting over DevOps, nagegaan wat Docker en de Cloud kunnen betekenen voor uw business, en hoe zij als enablers kunnen dienen voor het tot stand brengen van een DevOps-cultuur. Het container-landschap waarvan tools zoals Kubernetes, Docker Swarm, ...een belangrijk onderdeel vormen, wordt toegelicht en er wordt ingegaan op de wijze waarop deze tools aangewend kunnen worden om 'development' en 'operations' efficiënt te laten samenwerken.

DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.

Effective Kubernetes is a continuous deployment process that the team understands. Keep it Simple. Think twice before going for more complex solutions. Source: https://github.com/wojciech12/talk_effective_kubernetes Presented at Cloud Native Talks #2 (Online Meetup) - https://www.meetup.com/Cloud-Native-Kubernetes-Warsaw/events/257125529/

This document summarizes Lucas Fontes' approach to deploying applications with Docker and Consul at Uken Studios, which has around 150 servers running 70 application servers and 40 databases. It outlines challenges with their previous deployment process and infrastructure, and describes how their new system addresses these using Docker for building and running applications, Consul for service discovery and configuration, and Consul Template to reload applications when configurations change. The workflow involves building Docker images, running containers securely, and releasing new versions by pushing images to a registry and notifying Consul to trigger reloads.

The product formerly known as IBM Connections pink is deployed on Kubernetes and some other Open Source Tools. Learn the basics of Kubernetes in this session. Deploying additional pods, getting some statistics or find deeper information of the installed stuff to find log files and so on.

This document provides an overview of Kubernetes basics for IBM Connections administrators. It discusses the history of Kubernetes and its predecessors like Borg and Omega which were container management systems developed at Google. It also covers Kubernetes architecture, components like pods, replica sets, deployments and services. It explains how to run basic pods and services and scale deployments. Key concepts around liveness probes, networks and service discovery in Kubernetes are also summarized.

Detailed process to create and configure an multi tenancy arquitecture with a Kerberized Spark Cluster, Livy and Zeppelin.

Stas Ivaschenko (Senior Operations Analyst/DevOps engineer at Provectus) for OSDN conference (http://conference.osdn.org.ua)

Stas Ivaschenko (Senior Operations Analyst/DevOps engineer at Provectus, Inc) for OSDN conference (http://conference.osdn.org.ua)

Presentation by Steve Woodruff The story of how SpareFoot broke up its monolithic application into micro services, deployed Docker into production, and established a "contract" between Dev and Ops.

Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.

Out of the box Kubernetes is an Operations platform which is great for flexibility but creates friction for deploying simple applications. Along comes Spinnaker which allows you to easily create custom workflows for testing, building, and deploying your application on Kubernetes. Salvatore Incandela and Fabio Marinelli will give an introduction to Containers and Kubernetes and the default development/deployment workflows that it enables. They will then show you how you can use Spinnaker to simplify and streamline your workflow and help provide a full #gitops style CI/CD.

This document discusses Docker container networking and publishing applications securely with Docker Enterprise. It provides an overview of key Kubernetes networking concepts like pods, services, ingress and network policies. It then details how Docker Enterprise integrates with Calico for container networking and policy-driven security. The integration provides connectivity between pods and services out of the box. It also allows enforcing network policies and zero-trust security through Calico's policy engine. The document concludes with demos of publishing sample applications using Docker Swarm services and Kubernetes ingress resources.

In this talk, Scott Coulton will walk through how to build a container as a service platform with Docker EE. Starting from scratch he will help you figure out what orchestrator to choose by deep diving into the technical differences between swarm and kubernetes on the EE platform as well as cover some of the practical considerations that could influence your decision. He will also share various automation solutions to deploy your cluster into production. Once the cluster is up and and running, Scott will delve into sec ops and discuss security best practices - including signing images in DTR (Docker Trusted Registry) and CVE scanning to provide a secure supply chain into production. You’ll leave this talk with the knowledge needed to build your own container platform in production. And did I mention it will all be done live, step-by-step?

A robust software testing strategy encompassing functional and non-functional testing is fundamental for development teams. These twin pillars are essential for ensuring the success of your applications. But why are they so critical? Functional testing rigorously examines the application's processes against predefined requirements, ensuring they align seamlessly. Conversely, non-functional testing evaluates performance and reliability under load, enhancing the end-user experience.

What do fleet managers do? What are their duties, responsibilities, and challenges? And what makes a fleet manager effective and successful? This blog answers all these questions.

Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require. To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals). In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.

Cisco Live Announcements: New ThousandEyes Release Highlights - July 2024

In this talk, we will explore strategies to optimize the success rate of storing and retaining new information. We will discuss scientifically proven ideal learning intervals and content structures. Additionally, we will examine how to create an environment that improves our focus while you remain in the “flow”. Lastly we will also address the influence of AI on learning capabilities. In the dynamic field of software development, this knowledge will empower you to accelerate your learning curve and support others in their learning journeys.

A captivating AI chatbot PowerPoint presentation is made with a striking backdrop in order to attract a wider audience. Select this template featuring several AI chatbot visuals to boost audience engagement and spontaneity. With the aid of this multi-colored template, you may make a compelling presentation and get extra bonuses. To easily elucidate your ideas, choose a typeface with vibrant colors. You can include your data regarding utilizing the chatbot methodology to the remaining half of the template.

Shivam Pandit Php Web Dveloper

Sami provided a beginner-friendly introduction to Amazon Web Services (AWS), covering essential terms, products, and services for cloud deployment. Participants explored AWS' latest Gen AI offerings, making it accessible for those starting their cloud journey or integrating AI into coding practices.

Are you wondering how to migrate to the Cloud? At the ITB session, we addressed the challenge of managing multiple ColdFusion licenses and AWS EC2 instances. Discover how you can consolidate with just one EC2 instance capable of running over 50 apps using CommandBox ColdFusion. This solution supports both ColdFusion flavors and includes cb-websites, a GoLang binary for managing CommandBox websites.

CViewSurvey is a SaaS-based Web & Mobile application that provides digital transformation to traditional paper surveys and feedback for customer & employee experience, field & market research that helps you evaluate your customer's as well as employee's loyalty. With our unique C.A.A.G. Collect, Analysis, Act & Grow approach; business & industry’s can create customized surveys on web, publish on app to collect unlimited response & review AI backed real-time data analytics on mobile & tablets anytime, anywhere. Data collected when offline is securely stored in the device, which syncs to the cloud server when connected to any network.

Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools.

React and Next.js are complementary tools in web development. React, a JavaScript library, specializes in building user interfaces with its component-based architecture and efficient state management. Next.js extends React by providing server-side rendering, routing, and other utilities, making it ideal for building SEO-friendly, high-performance web applications.

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Splunk Presentation

Class based indexes feature in Django

Prada Group Reports Strong Growth in First Quarter …

Unlock the full potential of your data by effortlessly migrating from PostgreSQL to Snowflake, the leading cloud data warehouse. This comprehensive guide presents an easy-to-follow 8-step process using Estuary Flow, an open-source data operations platform designed to simplify data pipelines. Discover how to seamlessly transfer your PostgreSQL data to Snowflake, leveraging Estuary Flow's intuitive interface and powerful real-time replication capabilities. Harness the power of both platforms to create a robust data ecosystem that drives business intelligence, analytics, and data-driven decision-making. Key Takeaways: 1. Effortless Migration: Learn how to migrate your PostgreSQL data to Snowflake in 8 simple steps, even with limited technical expertise. 2. Real-Time Insights: Achieve near-instantaneous data syncing for up-to-the-minute analytics and reporting. 3. Cost-Effective Solution: Lower your total cost of ownership (TCO) with Estuary Flow's efficient and scalable architecture. 4. Seamless Integration: Combine the strengths of PostgreSQL's transactional power with Snowflake's cloud-native scalability and data warehousing features. Don't miss out on this opportunity to unlock the full potential of your data. Read & Download this comprehensive guide now and embark on a seamless data journey from PostgreSQL to Snowflake with Estuary Flow! Try it Free: https://dashboard.estuary.dev/register

dachnug51 | All you ever wanted to know about domino licensing | Uffe Sorensen

Connectors integrate Apache Kafka® with external data systems, enabling you to move away from a brittle spaghetti architecture to one that is more streamlined, secure, and future-proof. However, if your team still spends multiple dev cycles building and managing connectors using just open source Kafka Connect, it’s time to consider a faster and cost-effective alternative.

This PowerPoint presentation provides a comprehensive overview of Enterprise Resource Planning (ERP) systems. It covers the fundamental concepts, benefits, and key functionalities of ERP software, illustrating how it integrates various business processes into a unified system. From finance and HR to supply chain and customer relationship management, ERP facilitates efficient data management and decision-making across organizations. Whether you're new to ERP or looking to deepen your understanding, this presentation offers valuable insights into leveraging ERP for business success.