Use Kubernetes as a persistent disk to avoid killed services in PHP, WordPress or any web module using Google cloud platform. We use this open source container cluster manager to deploy CMS like WordPress and database server like MySQL.
This document provides steps to deploy a WordPress application with a MySQL database on Kubernetes. It demonstrates creating secrets for database credentials, persistent volumes for database storage, services for external access, and deploying the WordPress and MySQL containers. Various Kubernetes objects like deployments, services, secrets and persistent volumes are defined in YAML files and applied to set up the WordPress application on Kubernetes.
Jenkins, jclouds, CloudStack, and CentOS by David Nalleybuildacloud
Setting up continuous integration for a single project can be a pretty daunting task. Doing that for hundreds of projects becomes a challenge of a different magnitude. Not only are their capacity problems, but some tests are destructive to the testing environment, some have esoteric environment demands. See how this is solved in the real world using Jenkins, jclouds, CloudStack to build an on-demand build infrastructure.
About David Nalley
David Nalley is the Vice President, Infrastructure at the Apache Software Foundation and a CloudStack PMC member.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
O365Con19 - Lets Get Started with Azure Container Instances - Jussi RoineNCCOMMS
Getting started with Azure Container Instances
Azure Container Instances (ACI) allows you to run containers in Azure without having to manage virtual machines. ACI provides Linux containers with configurable RAM and CPU. You can store container images in Azure Container Registry (ACR) and deploy them to ACI. ACI offers pay-per-second billing. Key steps to get started include provisioning ACR to store images, provisioning ACI to run containers from ACR images, and using Azure CLI scripts to automate deployments. It is recommended to test containers locally before deploying to ACI.
This document provides an overview of Docker and Kubernetes concepts and demonstrates how to create and run Docker containers and Kubernetes pods and deployments. It begins with an introduction to virtual machines and containers before demonstrating how to build a Docker image and container. It then introduces Kubernetes concepts like masters, nodes, pods and deployments. The document walks through running example containers and pods using commands like docker run, kubectl run, kubectl get and kubectl delete. It also shows how to create pods and deployments from configuration files and set resource limits.
This document summarizes the use of CloudStack by various service providers around the world. It provides statistics on usage and technical details about different deployments. Key details include CloudStack deployments in over 140 countries with 32,000 unique IP downloads in 2014. Specific service providers discussed include Datapipe with CloudStack deployed across 7 geographic regions, Cloud.ca in Canada using CloudStack for hybrid cloud services, and Exoscale in Switzerland with over 13 million API calls per month on their CloudStack deployment.
This document discusses Docker containers and CoreOS. It summarizes Sebastien Goasguen's background working with high performance computing, cloud computing, and various open source projects. It then discusses how Docker simplifies application deployment and portability using containers and image sharing. CoreOS is introduced as a Linux distribution optimized for Docker with tools like etcd and Fleet for managing distributed applications across containers. Kubernetes is presented as a system for orchestrating Docker containers across multiple hosts and providing services like replication and high availability.
This document provides an overview of Kasun Madura Rathnayaka and his experience with Kubernetes and AWS. It then lists 10 best practices for securing Kubernetes clusters deployed on AWS: 1) Update Kubernetes to the latest stable version, 2) Harden node security, 3) Secure cloud metadata access, 4) Enable role-based access control, 5) Secure Tiller or Helm 3, 6) Secure container image and registry usage, 7) Assess container privileges, 8) Implement auditing and alerts, 9) Consider deployment and runtime security, and 10) Properly manage credentials and secrets. Specific techniques are provided for implementing each best practice.
This document provides an agenda and instructions for learning Kubernetes in 90 minutes. The agenda includes exercises on running a first web service in Kubernetes, revisiting pods, deployments and services, deploying with YAML files, and installing a microservices application called Guestbook. Key Kubernetes concepts covered include pods, deployments, services, YAML descriptors, and using deployments to scale applications. The document also provides background on containers, Docker, and the Kubernetes architecture.
Running Docker with OpenStack | Docker workshop #1dotCloud
The document discusses new features in the upcoming Havana release of OpenStack Nova that will allow it to deploy and manage containers using Docker instead of just virtual machines. Specifically, it provides instructions for using DevStack to install and test Docker support in Nova, such as cloning the DevStack repository, setting the VIRT_DRIVER variable to Docker, running Docker install and test scripts, launching a Docker container as a Nova instance, and pushing public Docker images to Glance.
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,
Spotify uses Cloudstack to manage their infrastructure and deal with challenges of distributed teams and use cases. They built Spoticloud on top of Cloudstack to add command line tools, an API server, and asynchronous task execution integrated with Puppet and DNS. Looking ahead, Spotify wants to focus on improving basic use cases, packaging, and testing as they bring Spoticloud further into production use for their private and public cloud infrastructure and storage needs.
Building Clustered Applications with Kubernetes and DockerSteve Watt
August 2015 - Presented at LinuxCon and ContainerCon
Demos:
1) NGINX Web Cluster with Local Storage
2) Hot Upgrade/Deploy of an NGINX Web Cluster with Shared Storage (GlusterFS)
3) MySQL with Block Storage (Ceph RBD)
4) Apache Spark in Kubernetes with Shared Storage
This document compares the CloudStack and OpenStack platforms in terms of architecture, installation, administration, security, high availability, and other factors. CloudStack has a more monolithic controller architecture compared to OpenStack's fragmented architecture. CloudStack is easier to install with fewer parts and repositories, while OpenStack installation is more difficult with many choices and configuration required. Both provide self-service user interfaces, quotas, and networking features like floating IPs and VLAN support. The document concludes that CloudStack is more mature and refined for enterprise adoption due to its simpler installation, user-friendly GUI, and documentation, while OpenStack requires more development customization but has deeper community support.
The document discusses various OpenStack projects that are focused on containers. It describes projects like Nova-docker and Heat-docker that allow managing containers alongside virtual machines in OpenStack. It also covers container orchestration engines (COEs) running on infrastructure provided by Magnum, and application catalogs for containers provided by projects like Murano and Solum. Overall, the document provides an overview of the different ways containers are integrated and managed within the OpenStack cloud platform.
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.
Who carries your container? Zun or Magnum?Madhuri Kumari
This document summarizes two OpenStack container projects - Magnum and Zun. Magnum provides an API to manage container infrastructure by leveraging Heat, Nova, and Neutron to provision container orchestration engines like Kubernetes and Docker Swarm. Zun provides a container service with APIs for launching and managing containers across different technologies in an integrated manner with OpenStack services like Keystone, Nova, Neutron, Glance, and Cinder. The document compares the two projects and suggests using Magnum when wanting OpenStack to provide infrastructure for self-managed containers, and using Zun when wanting OpenStack to provision and manage containers directly.
Orchestrating Docker Containers with Google Kubernetes on OpenStackTrevor Roberts Jr.
Kubernetes, Docker, CoreOS, and OpenStack for container workload management.
No audio, but there are annotations to follow along with the workload.
A video accompanies a Microservices Meetup talk that I presented on February 18, 2015 at https://www.youtube.com/watch?v=RfyIYhOzyPY
Acknowledgements to Kelsey Hightower for the workflow that I used, and Google for the example application shown.
On Friday 5 June 2015 I gave a talk called Cluster Management with Kubernetes to a general audience at the University of Edinburgh. The talk includes an example of a music store system with a Kibana front end UI and an Elasticsearch based back end which helps to make concrete concepts like pods, replication controllers and services.
Kubernetes is an open-source system for managing containerized applications across multiple hosts. It provides mechanisms for deploying, maintaining, and scaling applications. Kubernetes uses declarative APIs and controllers to maintain the desired state of applications. The document then discusses key Kubernetes concepts like pods, containers, services, labels, replication controllers, and selectors. It explains how Kubernetes operations work through components like the API server, scheduler, controller manager, kubelet, and proxy.
This document provides an overview and introduction to using the libcloud library for multi-cloud management. It discusses key concepts like providers, drivers, images, sizes and locations. It provides examples of how to connect to providers like EC2 and Rackspace, launch nodes, list existing nodes, and destroy nodes. Libcloud supports a common API across many cloud providers for tasks like compute management.
Ci/CD - Stop wasting time, Automate your deploymentsJerry Jalava
- Using CI/CD (continuous integration and continuous delivery) automates deployments and saves time and money while improving reliability.
- There are multiple CI/CD tool options with different capabilities for source code management, target systems like Kubernetes, and deployment approaches. Consider your specific code, infrastructure, and deployment needs.
- Google Cloud Build is demonstrated for automating builds, tests, and deployments to Cloud Run and Kubernetes Engine from source code in a Git repository with triggers on code changes.
Intro to coreOS linux distributions and how it can be used to run docker based workloads in the cloud.
coreOS instances can be started in a cloudstack cloud, it makes use of cloud-init basics to
Presentation of OpenStack survey to Internet Research Lab at National Taiwan University, Taiwan. OpenStack framework and architecture overview. (ppt slide for download.) Materials collected from various resources, not originally produced by the author.
Briefly explained Nova, Swift, Glance, Keystone, and Quantum.
2 Day Bootcamp for OpenStack--Cloud Training by Mirantis (Preview)Mirantis
Mirantis, the Global Engineering Services leader for OpenStack™ presents 2-day Bootcamp for OpenStack
www.mirantis.com/training
This two-day intensive course provides hands-on technical training for OpenStack aimed at system administrators and IT professionals looking to get started on an OpenStack Cloud deployment. Each of the two days will consist of lecture, demos and group exercises. Topics include:
• OpenStack Overview & Architecture: Project goals and use cases, basic operating and deployment principles
• Cloud Usage Patterns: OpenStack codebase overview; creating networks, tenants, roles, troubleshooting; Nexenta Volume Driver
• In Production: Deploying OpenStack for real-world use, and practice of OpenStack operation on multiple nodes
• Swift Object Storage: use cases, architecture, capabilities, configuration, security and deployment
• Advanced Topics: Software Defined Networking, deployment and issues workshop, VMWare/OpenStack comparison
PRE-REQUISITES: Comfortable with Linux CLI, understanding of virtualization & hypervisors, Some experience with Linux networking
All course materials will be provided by Mirantis, including access to shared compute resources for labs. A light breakfast and lunch will be available to all course participants.
Mirantis instructors are active code committers to the OpenStack project, with proven experience building OpenStack clouds in the real world. In parallel to delivering expert training, they also consult for some of the notable global companies using OpenStack – including Cisco, NASA, Dell and Internap.
This document provides an overview and agenda for a hands-on Kubernetes 101 workshop hosted by Vishal Biyani from InfraCloud technologies. The 180-minute workshop includes introductions, conceptual overviews of Kubernetes components like pods and deployments, demonstrations of setting up a Kubernetes cluster on Google Cloud and the local machine, and hands-on labs for working with pods, deployments, services, secrets and Helm. The goal is to help attendees gain practical experience with common Kubernetes patterns, architectures, and tools.
Local Kubernetes for Dummies: STLLUG March 2021Andrew Denner
Andrew Denner gives an introduction to moving from Docker to Kubernetes. He discusses drawbacks of Docker like lack of orchestration and networking headaches. Kubernetes provides orchestration, service discovery, storage orchestration, self-healing and more. It is not a drop-in replacement for Docker and does not include deployment or middleware. Key Kubernetes concepts include clusters, controllers, manifests, pods, volumes and workloads. Easier options for learning Kubernetes include Minikube, K3s and Helm.
We will use a traditional slave/master set up with asynchronous replication, configurable replication, depending on user configuration, and no requirement for a constant connection.
In the presentation, we will learn on how to set up InnoDB cluster using the official MySQL Docker containers and run them with docker-compose. This presentation covers a demo, including how to connect to the cluster through MySQL Router using a simple application.
This document provides an agenda and instructions for learning Kubernetes in 90 minutes. The agenda includes exercises on running a first web service in Kubernetes, revisiting pods, deployments and services, deploying with YAML files, and installing a microservices application called Guestbook. Key Kubernetes concepts covered include pods, deployments, services, YAML descriptors, and using deployments to scale applications. The document also provides background on containers, Docker, and the Kubernetes architecture.
Running Docker with OpenStack | Docker workshop #1dotCloud
The document discusses new features in the upcoming Havana release of OpenStack Nova that will allow it to deploy and manage containers using Docker instead of just virtual machines. Specifically, it provides instructions for using DevStack to install and test Docker support in Nova, such as cloning the DevStack repository, setting the VIRT_DRIVER variable to Docker, running Docker install and test scripts, launching a Docker container as a Nova instance, and pushing public Docker images to Glance.
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,
Spotify uses Cloudstack to manage their infrastructure and deal with challenges of distributed teams and use cases. They built Spoticloud on top of Cloudstack to add command line tools, an API server, and asynchronous task execution integrated with Puppet and DNS. Looking ahead, Spotify wants to focus on improving basic use cases, packaging, and testing as they bring Spoticloud further into production use for their private and public cloud infrastructure and storage needs.
Building Clustered Applications with Kubernetes and DockerSteve Watt
August 2015 - Presented at LinuxCon and ContainerCon
Demos:
1) NGINX Web Cluster with Local Storage
2) Hot Upgrade/Deploy of an NGINX Web Cluster with Shared Storage (GlusterFS)
3) MySQL with Block Storage (Ceph RBD)
4) Apache Spark in Kubernetes with Shared Storage
This document compares the CloudStack and OpenStack platforms in terms of architecture, installation, administration, security, high availability, and other factors. CloudStack has a more monolithic controller architecture compared to OpenStack's fragmented architecture. CloudStack is easier to install with fewer parts and repositories, while OpenStack installation is more difficult with many choices and configuration required. Both provide self-service user interfaces, quotas, and networking features like floating IPs and VLAN support. The document concludes that CloudStack is more mature and refined for enterprise adoption due to its simpler installation, user-friendly GUI, and documentation, while OpenStack requires more development customization but has deeper community support.
The document discusses various OpenStack projects that are focused on containers. It describes projects like Nova-docker and Heat-docker that allow managing containers alongside virtual machines in OpenStack. It also covers container orchestration engines (COEs) running on infrastructure provided by Magnum, and application catalogs for containers provided by projects like Murano and Solum. Overall, the document provides an overview of the different ways containers are integrated and managed within the OpenStack cloud platform.
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.
Who carries your container? Zun or Magnum?Madhuri Kumari
This document summarizes two OpenStack container projects - Magnum and Zun. Magnum provides an API to manage container infrastructure by leveraging Heat, Nova, and Neutron to provision container orchestration engines like Kubernetes and Docker Swarm. Zun provides a container service with APIs for launching and managing containers across different technologies in an integrated manner with OpenStack services like Keystone, Nova, Neutron, Glance, and Cinder. The document compares the two projects and suggests using Magnum when wanting OpenStack to provide infrastructure for self-managed containers, and using Zun when wanting OpenStack to provision and manage containers directly.
Orchestrating Docker Containers with Google Kubernetes on OpenStackTrevor Roberts Jr.
Kubernetes, Docker, CoreOS, and OpenStack for container workload management.
No audio, but there are annotations to follow along with the workload.
A video accompanies a Microservices Meetup talk that I presented on February 18, 2015 at https://www.youtube.com/watch?v=RfyIYhOzyPY
Acknowledgements to Kelsey Hightower for the workflow that I used, and Google for the example application shown.
On Friday 5 June 2015 I gave a talk called Cluster Management with Kubernetes to a general audience at the University of Edinburgh. The talk includes an example of a music store system with a Kibana front end UI and an Elasticsearch based back end which helps to make concrete concepts like pods, replication controllers and services.
Kubernetes is an open-source system for managing containerized applications across multiple hosts. It provides mechanisms for deploying, maintaining, and scaling applications. Kubernetes uses declarative APIs and controllers to maintain the desired state of applications. The document then discusses key Kubernetes concepts like pods, containers, services, labels, replication controllers, and selectors. It explains how Kubernetes operations work through components like the API server, scheduler, controller manager, kubelet, and proxy.
This document provides an overview and introduction to using the libcloud library for multi-cloud management. It discusses key concepts like providers, drivers, images, sizes and locations. It provides examples of how to connect to providers like EC2 and Rackspace, launch nodes, list existing nodes, and destroy nodes. Libcloud supports a common API across many cloud providers for tasks like compute management.
Ci/CD - Stop wasting time, Automate your deploymentsJerry Jalava
- Using CI/CD (continuous integration and continuous delivery) automates deployments and saves time and money while improving reliability.
- There are multiple CI/CD tool options with different capabilities for source code management, target systems like Kubernetes, and deployment approaches. Consider your specific code, infrastructure, and deployment needs.
- Google Cloud Build is demonstrated for automating builds, tests, and deployments to Cloud Run and Kubernetes Engine from source code in a Git repository with triggers on code changes.
Intro to coreOS linux distributions and how it can be used to run docker based workloads in the cloud.
coreOS instances can be started in a cloudstack cloud, it makes use of cloud-init basics to
Presentation of OpenStack survey to Internet Research Lab at National Taiwan University, Taiwan. OpenStack framework and architecture overview. (ppt slide for download.) Materials collected from various resources, not originally produced by the author.
Briefly explained Nova, Swift, Glance, Keystone, and Quantum.
2 Day Bootcamp for OpenStack--Cloud Training by Mirantis (Preview)Mirantis
Mirantis, the Global Engineering Services leader for OpenStack™ presents 2-day Bootcamp for OpenStack
www.mirantis.com/training
This two-day intensive course provides hands-on technical training for OpenStack aimed at system administrators and IT professionals looking to get started on an OpenStack Cloud deployment. Each of the two days will consist of lecture, demos and group exercises. Topics include:
• OpenStack Overview & Architecture: Project goals and use cases, basic operating and deployment principles
• Cloud Usage Patterns: OpenStack codebase overview; creating networks, tenants, roles, troubleshooting; Nexenta Volume Driver
• In Production: Deploying OpenStack for real-world use, and practice of OpenStack operation on multiple nodes
• Swift Object Storage: use cases, architecture, capabilities, configuration, security and deployment
• Advanced Topics: Software Defined Networking, deployment and issues workshop, VMWare/OpenStack comparison
PRE-REQUISITES: Comfortable with Linux CLI, understanding of virtualization & hypervisors, Some experience with Linux networking
All course materials will be provided by Mirantis, including access to shared compute resources for labs. A light breakfast and lunch will be available to all course participants.
Mirantis instructors are active code committers to the OpenStack project, with proven experience building OpenStack clouds in the real world. In parallel to delivering expert training, they also consult for some of the notable global companies using OpenStack – including Cisco, NASA, Dell and Internap.
This document provides an overview and agenda for a hands-on Kubernetes 101 workshop hosted by Vishal Biyani from InfraCloud technologies. The 180-minute workshop includes introductions, conceptual overviews of Kubernetes components like pods and deployments, demonstrations of setting up a Kubernetes cluster on Google Cloud and the local machine, and hands-on labs for working with pods, deployments, services, secrets and Helm. The goal is to help attendees gain practical experience with common Kubernetes patterns, architectures, and tools.
Local Kubernetes for Dummies: STLLUG March 2021Andrew Denner
Andrew Denner gives an introduction to moving from Docker to Kubernetes. He discusses drawbacks of Docker like lack of orchestration and networking headaches. Kubernetes provides orchestration, service discovery, storage orchestration, self-healing and more. It is not a drop-in replacement for Docker and does not include deployment or middleware. Key Kubernetes concepts include clusters, controllers, manifests, pods, volumes and workloads. Easier options for learning Kubernetes include Minikube, K3s and Helm.
We will use a traditional slave/master set up with asynchronous replication, configurable replication, depending on user configuration, and no requirement for a constant connection.
In the presentation, we will learn on how to set up InnoDB cluster using the official MySQL Docker containers and run them with docker-compose. This presentation covers a demo, including how to connect to the cluster through MySQL Router using a simple application.
Building a Kubernetes App with Amazon EKSDevOps.com
Interested in learning how to set up a Kubernetes cluster and use automation to test and deploy an app?
During this presentation, Laura Frank will take a deep dive into CI/CD best practices with Kubernetes and Amazon EKS. You will be introduced to AmazonEKS, Amazon’s Kubernetes service and CloudBees CodeShip, a flexible continuous integration (CI)/continuous delivery(CD) tool that runs your builds in the cloud. Designed with developers in mind, both EKS and CodeShip when used together reduce the complexity of running an app with Kubernetes.
Attend this webinar to learn:
- An overview of Amazon EKS
- How to set up your own CI/CD pipeline
- How to leverage CI/CD best practices with Kubernetes
Interested in learning how to set up a Kubernetes cluster and use automation to test and deploy an app?
During this presentation, Laura Frank will take a deep dive into CI/CD best practices with Kubernetes and Amazon EKS. You will be introduced to AmazonEKS, Amazon’s Kubernetes service and CloudBees CodeShip, a flexible continuous integration (CI)/continuous delivery(CD) tool that runs your builds in the cloud. Designed with developers in mind, both EKS and CodeShip when used together reduce the complexity of running an app with Kubernetes.
Attend this webinar to learn:
- An overview of Amazon EKS
- How to set up your own CI/CD pipeline
- How to leverage CI/CD best practices with Kubernetes
This session will cover the development & deployment of containerized ASP.NET Core 6 apps using Docker and Azure and architectural design & implementation approaches using .NET and Docker containers. The different services to deploy on Azure like Azure Container Registry, Azure Container instance, Azure Container Apps, and Azure Kubernetes Services as an orchestrator will be reviewed. We will also create the different resources and explore the different tools and properties if attendees prefer not to use Docker-Compose.yml. Then we will deploy our application that's based on Docker images using Azure App Service. And finally, we will configure continuous deployment for our web app with a webhook that monitors changes to the Docker image.
https://conferences.techwell.com/archives/agiledevopswest-2023/program/concurrent-sessions/build-containerized-applications-using-docker-and-azure-agile-devops-west-2023.html
Learn how to get Kubernetes up and running on Google Cloud Platform with GKE. Go over why you should use Kubernetes, and why using a managed service like GKE is important. After that we will go over how to deploy both simple and advanced applications to your cluster.
Oracle has joined Kubernetes to allow applications and infrastructure to be deployed as containers across virtual machines and servers. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. Oracle supports Kubernetes in various ways including certifying WebLogic and Docker, providing an Oracle Kubernetes Engine (OKE) service on Oracle Cloud Infrastructure (OCI), and developing tools like the WebLogic Kubernetes Operator.
Docker containers have been making inroads into Windows and Azure world. Docker has now replaced the traditional Azure IaaS & PaaS services, offering superior container versions which are more responsive, cost effective, and agile. In this session for Charlotte Azure User Group, we will take an in-depth look at the intersection of Docker and Azure, and how Docker is empowering next gen Azure services.
Here's the link to CAG meetup for the event - https://www.meetup.com/Charlotte-Microsoft-Azure/events/fpftgmyxjbjb/
About docker cluster management tools
1. Base concepts of cluster
management and docker
2. Docker Swarm
3. Amazon EC2 Container Service
4. Kubernetes
5. Mesosphere
How to setup and connect my sql to ec2 instance from ubuntuKaty Slemon
This document provides a 6 step guide to setup and connect MySQL to an EC2 instance running Ubuntu. It involves installing MySQL, configuring the installation with security settings and passwords, creating a database user, granting privileges to the user, connecting to MySQL with the user, and restarting the MySQL service. The goal is to have a working MySQL database installed and accessible from an EC2 Ubuntu server.
- Docker can be integrated with CloudStack in several ways, including running Docker in CloudStack virtual machine guests, packaging CloudStack as Docker containers, and using Docker orchestrators to manage containers.
- CloudStack could potentially be re-architected to run its components in Docker containers and use Docker networking for isolation, with an orchestrator like Mesos or Kubernetes managing the CloudStack application.
- There are open questions around whether CloudStack or other orchestrators should schedule virtual machines or containers as the primary compute resource in a private cloud data center.
Dockerized .Net Core based app services in azure K8s Ranjeet Bhargava
This article is to explain Containerize ASP.NET Core Applications with Docker and Azure Kubernetes Services
Code Repository : https://bhargavaonline.visualstudio.com/AKS%20with%20ASP.Net%20Core%20Application
Doc Ref: https://drive.google.com/file/d/1kI7D6XpaCDty241zom0uFUyb-U6JX6nY/view?usp=sharing
Deploying windows containers with kubernetesBen Hall
The document discusses deploying Windows containers with Kubernetes. It covers building Windows containers, deploying containers on Kubernetes, and operating Kubernetes. Specifically, it shows how to:
- Build a Windows container with SQL Server using Docker
- Deploy a .NET Core app container to Kubernetes and expose it using a load balancer
- Scale the deployment to multiple replicas and observe traffic distribution
- Perform rolling updates to deploy new versions of the application
This document provides an introduction to Docker, including basic Docker concepts and terms. It discusses how Docker solves issues like scalability, resilience and portability by allowing processes to be isolated in lightweight containers. Key terms are explained, such as images, which contain the files and metadata to start a container, and containers, which are running instances of images. The document demonstrates Docker functionality by running example Alpine Linux containers and modifying and removing containers. It also discusses persisting container data using volumes and mounts.
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
PRTG Network Monitor Crack Latest Version & Serial Key 2025 [100% Working]saimabibi60507
Copy & Past Link 👉👉
https://dr-up-community.info/
PRTG Network Monitor is a network monitoring software developed by Paessler that provides comprehensive monitoring of IT infrastructure, including servers, devices, applications, and network traffic. It helps identify bottlenecks, track performance, and troubleshoot issues across various network environments, both on-premises and in the cloud.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
Best Practices for Collaborating with 3D Artists in Mobile Game DevelopmentJuego Studios
Discover effective strategies for working with 3D artists on mobile game projects. Learn how top mobile game development companies streamline collaboration with 3D artists in Dubai for high-quality, optimized game assets.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
Cryptocurrency Exchange Script like Binance.pptxriyageorge2024
This SlideShare dives into the process of developing a crypto exchange platform like Binance, one of the world’s largest and most successful cryptocurrency exchanges.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
PDF Reader Pro Crack Latest Version FREE Download 2025mu394968
🌍📱👉COPY LINK & PASTE ON GOOGLE https://dr-kain-geera.info/👈🌍
PDF Reader Pro is a software application, often referred to as an AI-powered PDF editor and converter, designed for viewing, editing, annotating, and managing PDF files. It supports various PDF functionalities like merging, splitting, converting, and protecting PDFs. Additionally, it can handle tasks such as creating fillable forms, adding digital signatures, and performing optical character recognition (OCR).
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
Full Cracked Resolume Arena Latest Versionjonesmichealj2
Resolume Arena is a professional VJ software that lets you play, mix, and manipulate video content during live performances.
This Site is providing ✅ 100% Safe Crack Link:
Copy This Link and paste it in a new tab & get the Crack File
↓
➡ 🌍📱👉COPY & PASTE LINK👉👉👉 👉 https://yasir252.my/
Creating Automated Tests with AI - Cory House - Applitools.pdfApplitools
In this fast-paced, example-driven session, Cory House shows how today’s AI tools make it easier than ever to create comprehensive automated tests. Full recording at https://applitools.info/5wv
See practical workflows using GitHub Copilot, ChatGPT, and Applitools Autonomous to generate and iterate on tests—even without a formal requirements doc.
F-Secure Freedome VPN 2025 Crack Plus Activation New Versionsaimabibi60507
Copy & Past Link 👉👉
https://dr-up-community.info/
F-Secure Freedome VPN is a virtual private network service developed by F-Secure, a Finnish cybersecurity company. It offers features such as Wi-Fi protection, IP address masking, browsing protection, and a kill switch to enhance online privacy and security .
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
2. We !!!!!
2
Pratik Rathod
FOUNDER AT LTTRBX TECHNOLABS | ENTREPRENEUR |
FULL STACK DEVELOPER | WRITER | SPEAKER | INFORMATION SECURITY EXPERT |
RESEARCHER | CYBER CRIME | CYBER FORENSICS | VIRTUAL SECURITY EXPERT
Vahid Sumra
PROJECT MANAGER AT LTTRBX TECHNOLABS | CODE-MAKER |
FULL STACK DEVELOPER | RESEARCHER | DATABASE MANAGEMENT EXPERT |
/pratik.netsquare pratik.lttrbx http://pratikrathod.in/
//snackeyes54 vahidsumra VahidSnackeyes
3. What Kubernetes is ?
▹ Kubernetes is an open-source container cluster
manager
■ originally developed by Google, donated to the
Cloud Native Computing Foundation
■ schedules & deploys containers onto a cluster of
machines
⬝ e.g. ensure that a specified number of
instances of an application are running
■ provides service discovery, distribution of
configuration & secrets, ...
■ provides access to persistent storage
▹ Pod
■ smallest deployable unit of compute
■ consists of one or more containers that are
always co-located, co-scheduled & run in a
shared context
3
4. ▹ It can be run anywhere
■ on-premises
⬝ bare metal, OpenStack, ...
■ public clouds
⬝ Google, Azure, AWS, ...
▹ Aim is to use Kubernetes as an abstraction layer
■ migrate to containerised applications managed by
Kubernetes & use only the Kubernetes API
■ can then run out-of-the-box on any Kubernetes cluster
▹ Avoid vendor lock-in as much as possible by not using any
vendor specific APIs or services
■ except where Kubernetes provides an abstraction
⬝ e.g. storage, load balancers
Why Kubernetes ?
5. Background
▹ WordPress is a blogging tool which uses MySQL as its database to store the blog articles and the local
filesystem to store assets, such as pictures in a blog post, or extensions. This tutorial uses the
official MySQL and WordPress container images from Docker Hub.
▹ In general, a container’s root filesystem is not suitable to store persistent data. The containers we
run on GKE are typically disposable entities, and the cluster manager may delete, evict, or reschedule
any containers that become unavailable due to node failure or other causes. In such an occurrence,
all data saved to a container’s root filesystem is lost.
▹ Using persistent volumes backed by persistent disks lets we store data for WordPress and MySQL
applications outside the containers themselves. This way, even if the containers are deleted, their
data persists.
▹ Both MySQL and Wordpress require a PersistentVolume to store data. For this tutorial, we will use
the default storage class which dynamically creates persistent disks and create two
PersistentVolumeClaims - one for each Deployment.
▹ Next, we create two Deployments: one for MySQL and one for WordPress. Both Deployments run only
a single replica of each Pod.
6. Before we begin !
▹ Take the following steps to enable the Kubernetes Engine API:
1. Visit the Kubernetes Engine page in the Google Cloud Platform Console.
2. Create or select a project.
3. Wait for the API and related services to be enabled. This can take several minutes.
4. Make sure that billing is enabled for project.
7. gCloud
▹ gcloud is used to create and delete Kubernetes Engine
clusters. gcloud is included in the Google Cloud SDK.
▹ kubectl is used to manage Kubernetes, the cluster
orchestration system used by Kubernetes Engine. we can
install kubectl using gcloud:
• gcloud components install kubectl
8. We need some files !
▹ mysql.yaml: The MySQL deployment configuration file.
▹ mysql-service.yaml: The MySQL service configuration file.
▹ mysql-volumeclaim.yaml: The MySQL PersistentVolumeClaim
configuration file.
▹ wordpress.yaml: The WordPress deployment configuration file.
▹ wordpress-service.yaml: The WordPress service configuration file.
▹ wordpress-volumeclaim.yaml: The WordPress
PersistentVolumeClaim configuration file.
9. Step 1: Create a GKE cluster
The first step is to create a GKE cluster to host wer WordPress and
MySQL application containers. The following command creates a cluster
named persistent-disk-tutorial with 3 nodes:
• gcloud container clusters create persistent-disk-tutorial --num-nodes=3
10. Step 2: Create wer PersistentVolumes and
PersistentVolumeClaims
In order to create the storage required for MySQL and Wordpress the first step is to create
PersistentVolumeClaims. When a PersistentVolumeClaim is created, if there is no existing
PersistentVolume for it to bind to, a new PersistentVolume is dynamically provisioned
based on the StorageClass configuration.
GKE has a default StorageClass installed that will allow we to dynamically provision
PersistentVolumes backed by persistent disks. When a StorageClass is not specified in the
PersistentVolumeClaim, the cluster's default StorageClass is used instead.
we will use the mysql-volumeclaim.yaml and wordpress-volumeclaim.yaml files to create
the PersistentVolumeClaims required for the deployments. The mysql-volumeclaim.yaml
and the wordpress-volumeclaim.yaml files looks like:
11. Step 3: Set up MySQL
Deploy MySQL
First step to deploy MySQL is to create a Kubernetes Secret to store the
password for the database. To create a Secret named mysql, run the
following command (and replace YOUR-PASSWORD with a passphrase
of your choice):
• kubectl create secret generic mysql --from-literal=password=YOUR-PASSWORD
12. This manifest describes a Deployment with a single instance MySQL Pod which will
have the MYSQL-ROOT-PASSWORD environment variable whose value is set from the
secret created. The mysql container will use the PersistentVolumeClaim and mount
the persistent disk at /var/lib/mysql inside the container.
To deploy this manifest file, run:
• kubectl create -f mysql.yaml
Check to see if the Pod is running. It might take a few minutes for the Pod to transition
to Running status as attaching the persistent disk to the compute node takes a while:
• kubectl get pod -l app=mysql
Create MySQL Services
The next step is to create a Service to expose the MySQL container and make it
accessible from the wordpress container you are going to create.
You will use the Service manifest defined in mysql-service.yaml, which looks like:
13. Step 4: Set up WordPress
Deploy WordPress
The next step is to deploy your WordPress container to the container cluster. You will use
the wordpress.yaml manifest file to deploy a single instance WordPress container.
The wordpress.yaml looks like:
14. DeployWordPress
This manifest describes a Deployment with a single instance WordPress Pod. This
container reads the WORDPRESS-DB-PASSWORD environment variable from the database
password Secret you created earlier.
This manifest also configures the WordPress container to communicate MySQL with the
host address mysql:3306. This value is set on the WORDPRESS-DB-HOST environment
variable. We can refer to the database as mysql, because of Kubernetes DNS allows Pods
to communicate a Service by its name.
To deploy this manifest file, run:
• kubectlcreate -f wordpress.yaml
Check to see if the Pod is running. It might take a few minutes for the Pod to transition to
Running status as attaching the persistent disk to the compute node takes a while:
• kubectlget pod -l app=wordpress
ExposeWordPressService
In the previous step, you have deployed a WordPress container which is not currently
accessible from outside your cluster as it does not have an external IP address
To expose your WordPress application to traffic from the internet using a load balancer
(subject to billing), you need a Service with type:LoadBalancer.
To deploy this manifest file, run:
• kubectlcreate -f wordpress-service.yaml
Deploying this manifest will create a load balancer, which may take a few minutes. Run the
following command to find out the external IP address of your blog:
• kubectlget svc -l app=wordpress
15. Step 5: Visit your new
WordPress blog
After finding out the IP address of your blog, point your browser to this IP address and
you will see the WordPress installation screen as follows:
Once you complete the WordPress setup, point your browser to the IP address of the
WordPress app again to visit your blog. Everything is working as expected.
16. Step 6: Test data persistence
on failure
With PersistentVolumes, your data lives outside the application container. When
your container becomes unavailable and gets rescheduled onto another compute
instance by Kubernetes, GKE will make the PersistentVolume available on the
instance that started running the Pod.
kubectl get pods -o=wide
Now, delete the mysql pod by running:
kubectl delete pod -l app=mysql
Once the mysql Pod is deleted, the Deployment controller will notice that the Pod is
missing and will recreate the Pod. It is likely that the new mysql Pod will start on a
different node than it was running before.
Run the following command again to observe that the mysql Pod is scheduled onto a
different compute instance than before (if not, you can delete the Pod again until it is
running somewhere different).
kubectl get pods -o=wide
17. Step 7: Updating application images
It’s important to keep deployed software up to date. For example, vulnerabilities may
be reported in WordPress that require an update. To update the WordPress container
image, find the newest image version on Docker Hub and update the image: value in
the wordpress.yaml file. To apply the update, run:
kubectl apply -f wordpress.yaml