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Видео на тему: Умные боты: с нуля до эксперта - видео

Avi Multi-Cluster Kubernetes Operator (AMKO) facilitates Multi-Cluster Application deployment. It runs as a Pod in the Kubernetes/Tanzu/OpenShift Cluster and extends Application Ingresses across multiple clusters for real-world Modern Apps deployments.Video for the web site https://www.abcdesktop.io describe the abcdesktop.io installation process for kubernetes run the command curl -L https://raw.githubusercontent.com/abcdesktopio/conf/main/kubernetes/install.sh | sh - * create namespace abcdesktop * create rsa keys * create kubernetes secrets * kubectl create -f https://raw.githubusercontent.com/abcdesktopio/conf/main/kubernetes/abcdesktop.yaml * download container application images for abcdesktop * use web browser to access the abcdesktop service * start libreoffice writer docker image * run docker ps commandLoad balancing Google Cloud offers server-side load balancing so you can distribute incoming traffic across multiple virtual machine (VM) instances. Load balancing provides the following benefits: Scale your app Support heavy traffic Detect and automatically remove unhealthy VM instances using health checks. Instances that become healthy again are automatically re-added. Route traffic to the closest virtual machine Google Cloud load balancing uses forwarding rule resources to match certain types of traffic and forward it to a load balancer. For example, a forwarding rule can match TCP traffic destined to port 80 on IP address 192.0.2.1, then forward it to a load balancer, which then directs it to healthy VM instances. Google Cloud load balancing is a managed service, which means its components are redundant and highly available. If a load balancing component fails, it is restarted or replaced automatically and immediately. Google Cloud offers several different types of load balancing that differ in capabilities, usage scenarios, and how you configure them. Autoscaling Compute Engine offers autoscaling to automatically add or remove VM instances from a managed instance group (MIG) based on increases or decreases in load. Autoscaling lets your apps gracefully handle increases in traffic, and it reduces cost when the need for resources is lower. You can autoscale a MIG based on its CPU utilization, Cloud Monitoring metrics, schedules, or load balancing serving capacity. When you set up an autoscaler to scale based on load balancing serving capacity, the autoscaler watches the serving capacity of an instance group and scales when the VM instances are over or under capacity. The serving capacity of an instance can be defined in the load balancer's backend service and can be based on either utilization or requests per second. #loadbalancingingcp, #gcp, #googlecloudplatformtutorialPreetha Appan, Consul Expert at HashiCorp This talk covers several specific infrastructure and distributed systems problems, and how to use Consul to solve them. Use cases include: • Load balancing across service instances • Running active/passive instances that fail over without operator intervention using locks • Transparent data-center failover during outages using prepared queries • Turning experimental features on/off for a subset of application servers using the KV store • Integrating Consul with existing applications using consul-template -- If you liked this video and want to see more from HashiCorp, subscribe to our channel: https://www.youtube.com/c/HashiCorp?sub_confirmation=1 To learn more, visit our hands-on interactive lab environment, HashiCorp Learn: https://learn.hashicorp.com/ HashiCorp is the leader in multi-cloud infrastructure automation software. The HashiCorp software suite enables organizations to adopt consistent workflows to provision, secure, connect, and run any infrastructure for any application. HashiCorp open source tools Vagrant, Packer, Terraform, Vault, Consul, Nomad, Boundary, and Waypoint are downloaded tens of millions of times each year and are broadly adopted by the Global 2000. Enterprise versions of these products enhance the open source tools with features that promote collaboration, operations, governance, and multi-data center functionality. For more information, visit: www.hashicorp.com or follow us on social media: Twitter: @hashicorp LinkedIn: https://www.linkedin.com/company/hashicorp Facebook: https://www.facebook.com/HashiCorpLucent 2022 edition vs 2012 edition Matter difference between new and old Lucent gk book #Lucent #bestgkbook #studywithgyanprakash new Lucent gk review #lucent_history best buy link : https://amzn.to/3YwNieo Join our Telegram channel for personal discussion https://telegram.me/studywithgyanprakashTrying to find the best way to set up automated Deployments to Kubernetes ? Do you want to implement Release Strategies such as Blue Green Releases, Canary , A/B Testing ? GitOps is something you must know about. In this video I would explain to you What is GitOps by talking about the 4 Principles of GitOps. 00:00 Continuous Delivery to Kubernetes 00:33 Who Coined GitOps ? 00:56 4 Principles of GitOps 01:25 Principle 1 - Write 100% Declarative Configs 02:18 Principle 2 - Store Desired State in GIT 02:41 Principle 3 - Apply Approved Changes Automatically 04:18 Principle 4 - Check and Correct with Software Agent 05:41 Tools - Argo and Flux 07:22 Outro Join Devops Club on Facebook at https://www.facebook.com/groups/devopsclub You could get started with your Devops Journey by attending my webinar at https://roadmap.schoolofdevops.com/?utm_source=youtube&utm_medium=social&utm_campaign=videos Get Access to my FREE Course on GitOps here: https://schoolofdevops.ck.page/341925270d My Additional Courses Published with Linux Foundation My Courses Published with Linux Foundation DevSecOps : https://training.linuxfoundation.org/... GitOps with Flux: https://training.linuxfoundation.org/... Containers for Developers and QA : https://training.linuxfoundation.org/... Implementing Continuous Delivery : https://training.linuxfoundation.org/... Get access to all these courses by being a member of School of Devops : http://www.schoolofdevops.com/ Additional Links : FREE access to Docker Mini Course : https://schoolofdevops.ck.page/f97f44... Gourav on LinkedIn : https://www.linkedin.com/in/gouravshah/ Gourav on Quora : https://www.quora.com/profile/Gourav-... Membership to Devops Mastery Programs : https://www.schoolofdevops.com docker socket mount continuous integration site reliability engineeringCloud Report #2 Сегодня на вебинаре обсуждаем инструменты резервного копирования и результаты работы сервисов, которые стали актуальны в этом году. Также представим наш новый пакет услуг для бизнеса и государственных компаний «Цифровая среда». ====================================== Официальный сайт DataLine — https://www.dtln.ru Подписывайтесь на DataLine в социальных сетях: Facebook — https://www.facebook.com/ilikedataline Telegram — https://t.me/unidataline Instagram — https://www.instagram.com/ilikedataline/ VK — https://vk.com/ilikedataline Twitter — https://twitter.com/IlikeDataLine Блог DataLine на Хабр — https://habr.com/en/company/dataline/blog/NB Tech Support Channel contains the most practical information on the task regarding the Linux & Devops. Please go through Blog for step wise guide. Share your comments, Like and share the knowledge Happy Learning!!!! Refer to Blog :- https://www.nbtechsupport.co.in/2021/07/create-users-in-jenkins.html Refer Gitlab Repo :- https://gitlab.com/nb-tech-support/devops.git Good Luck!!! #devops #jenkins #kubernetes #linux #jenkin #task #kodekloudengineer #docker #nbtechsupport #nbtech #git #kodekloud #ansible #git #docker #puppet #engineer #reviews #devopsvideos #devopstutorial #devopsrealtime #devopshandson #devopsissues #devopspracticals #ansibletutorial #kubernetestutorial #realtimetrainingdevops #handson #realscenario #jenkinstutorial #jenkinsproject #jenkinspipelineWhen using Thanos on top of Prometheus we can leverage this for a unified way in a single data source to query all our data across multiple clusters, servers and Prometheis. Wiard van Rij is an Engineer at Fullstaq helping people, teams, and organizations with various cloud-native challenges with a strong focus on Kubernetes and Observability. Wiard is a Thanos team member, open source enthusiast and has extra fun with security and hacking.This was presented at Bangalore Container Conference on April 7th 2017 by Tanmai Gopal, Founder, Hasura. This technical talk is about how we created an opinionated workflow for devops that did everything triggered from receiving git-push and then generate a docker image, issue a zero-downtime rollout, generate SSL certificates, and reconfigure the API gateway using Kubernetes as a framework. This talk will help you understand the Kubernetes API, the Kubernetes execution model and design philosophy, and maybe write your own tools for fun and profit!그동안 배웠던것들을 정리하기 위해 만든 프로젝트입니다. 사용한 기술 스택 - reactjs - springboot - jpa - mysql - elasticsearch - logstash - kibana - docker - docker-compose - redisManaging large stateful applications is tough. Matt Schallert outlines how, using Kubernetes, Uber automated managing a challenging stateful workload—M3DB, its sharded, replicated, multizone time series database—and examines the operational challenges the company faced while scaling M3DB from a handful of clusters to over 40 clusters across multiple data centers and cloud providers, all while trying to create an environment-agnostic solution for open source users. Matt then demonstrates methods of managing stateful workloads in a declarative manner to ease operational burden. You’ll see how M3DB’s declarative approach to cluster management can be extended to other workloads using its common set of open source libraries. This approach made orchestrating M3DB easier. Along the way, Matt shares lessons learned that you can apply to a variety of stateful workloads across bare metal and cloud environments, regardless of whether it’s running under an orchestration system or managing instances directly. You’ll walk away with advice for managing stateful systems at scale and lessons to bear in mind when considering using an orchestration system for state management.2nd Cloud OpenStack-Container Conference and Workshop 2016 Friday 23 September 2016 9.00 am – 6:00 pm Workshop : Docker Orchestration at Scale Speaker : Asst. Prof. Dr. Chanwit Kaewkasi, Docker Swarm Contributor, Computer Engineering, Suranaree University of Technology https://www.thaiopenstack.org https://www.nipa.cloudWith microservices, polyglot and DevOps on the rise, where are we at with testing? Does it bring more complexity and make our testing effort harder or maybe in contrary; it actually helps us write better tests easier? In this session, we will be exploring not only how we can do our testing in this new world, but also how the new world can help us test better. Meet Arquillian Cube and Q. We will take a close look at topics varying from polyglot services, orchestrated microservices to system scale testing. All are within reach. And with full control; Let's add a dash of chaos!Create Unattended Windows 11 Installation Disk | Automate Windows 11 Installation (Any PC) - Install Windows 11 Unsupported Hardware ✅ Windows 11 ISO https://www.microsoft.com/en-in/software-download/windows11 ✅ Windows Answer File Generator https://www.windowsafg.com/ ✅ Download AnyBurn https://www.anyburn.com/ ✅ Download Rufus http://rufus.ie/en/ Tags Automate Windows 11 Setup with Unattended Disk Simplify Windows 11 Installation with Unattended Media Effortless Windows 11 Install: Unattended Disk Tutorial No-Hassle Windows 11 Setup Using Unattended Disk Unattended Windows 11 Install Made Easy Create Unattended Windows 11 Installation Media Windows 11 Unattended Installation Guide Save Time with Unattended Windows 11 Install Automating Windows 11 Installation (Any PC) Unattended Setup for Windows 11 on Any Computer Easy Windows 11 Installation on Any PC Streamline Windows 11 Install with Unattended Disk Hands-Free Windows 11 Setup on Any PC Unattended Windows 11 Install: A How-To Guide Effortless Windows 11 Installation for All Unattended Disk: Your Windows 11 Install Solution Windows 11 Setup Simplified with Unattended Media Time-Saving Windows 11 Installation Method Any PC: Unattended Windows 11 Installation Unattended Windows 11 Install for Everyone Subscribe for more videos https://www.youtube.com/muhammedshafikandoth?sub_confirmation=1 https://youtube.com/@MohdShafiK #tech #tutorials #windows11In this episode of our Data Vault Builder tutorial:How to use the Staging Area in our Data Vault Automation tool.Connect new systems and make a 1-to-1 copy of the source before modelling the Data Vault core. http://www.datavault-builder.comThis video series is a tutorial of how to setup a scalable MineCraft server designed with mini-game development and deployment, main lobby generation, and overall ability to mix and match different MineCraft game variants from a single server/lobby setup. Thanks for watching and stay tuned for the additional parts to this series. Today we cover how to setup the basic Docker instance for which the scalable part of this setup will work. The server utilized for this build, for development only and not deployment of a production system: Dell Laptop with 8GB DDR3 RAM, Gen 2 Intel i5 Quad Core Mobile processor, 500GB Harddrive. OS loaded is CentOS 7 SpigotMC is available at:https://www.spigotmc.org/ BungeeCord is available at:https://ci.md-5.net/job/BungeeCord/ Docker is available at:https://www.docker.com/ Craft Royale is available at: https://www.neomccreations.com/maps/craftroyale/ Video link: https://youtu.be/CLsXMUqX6-IAll Videos Playlist: https://www.youtube.com/playlist?list=PLyQFVNKV6eie2-REWdCvoN4orHTOusuu5 Q. Is this Video for you? Q. Why should you consider learning Docker? Ans.: If you are an IT Professional or aspiring to be one, this one quick-to-learn skill puts you ahead of others. Put this in your resume and you will notice the change. Time Require to learn: 1 to 3 days Prerequisites: To learn docker you should be comfortable with 1) command line, preferably on Linux or Mac. 2) Computer Networks If you do not have basic understanding, then please write in the comments and we will make a video series for Linux and Networking for youGet the course here: http://docker-courses.teachable.com/p/how-to-automatically-test-docker-applications/ This course will show you the theory and practicalities of automatically testing dockerized applications. We’ll start off with the theory, we’ll discuss the concept of service oriented architecture and how Docker makes it so easy. We’ll discuss the testing pyramid and talk about the different levels at which we can test our applications. We’ll talk about the differences between black box and white box tests and when we should use each approach. We’ll see that how we group our code has big consequences, in particular we will see that grouping by services is better than grouping by applications. In the second half of the course we will get our hands dirty with concrete examples, we will see how to test containerized APIs, how to test containerized websites and how to test queue consumers. I built this course for professional software developers and test automation engineers who want to learn how to automatically test Dockerized applications. Testing is a huge part of developing software, applying testing to the software you write has huge benefits in the mid to long term. Testing applications which are inside docker containers is a new field however, in this course I hope to open your eyes to the possibilities you have. If you love having automatic tests and maintaining high quality products then I’ve built this course for you! So, in order to get the most out of the course you will ideally have at least a basic understanding of what Docker is and how it works. The course is not a beginners guide to Docker, we won’t explain what Docker is or exhaustively list all of the commands that the Docker CLI has available. What you will learn is how to test applications which are inside of docker containers. The lectures in this course will teach you the theory behind testing in general and then more specifically applied to dockerized containers. With the examples at the end you’ll also learn how to write your own tests for your own dockerized applications. It would give me huge satisfaction if you took what you learnt in this course and begun to implement it in a project that you are working on. Docker is exploding in the software development industry. It is revolutionizing how software is being developed, tested and deployed to production. If you are curious about Docker now is the time to learn! Personally I learnt all I know about Docker from trial and error. At times this was very frustrating for me because although I knew how docker worked it wasn’t clear how to test my dockerized applications. I made this course to help save you some of that frustration. I love teaching, I really do. I really hope I can pass on some of my enthusiasm and love for what Docker allows us to do. Docker makes it incredibly easy to do some very very cool things! Let's learn some of them!Applied Machine learning for the Cyber Security , a hands on you-tube video tutorial series specially designed for Data and Machine Learning Engineer to help them to solve critical challenges in Cyber Security space by applying modern "Machine Learning" & "Data Enginering" techniques . * Introduction :- Intro to Machine Learning and Cyber Security * Section1-Chapter1 :- ML Development environment using Docker, Conda, Jupyter Notebook , Kubernetes, Intellij etc. * Section1-Chapter2 :- Feature Extraction, Dimentionality Reduction, Data Labelling using Unsupervised Learning . * Section1-Chapter3 :- Supervised Learning (Malware Classification), Classification model comparison. * Section1-Chapter4 :- AutoML Frameworks (H2O autoML) * Section2-Chapter1 :- Machine Learning with Apache Spark on Kubernetes . * Section2-Chapter2 :- End to End ML Pipeline using Apache Spark using Jupyter Notebook(s) * Section2-Chapter3 :- End to End ML Pipeline using Apache Spark using CI/CD approch * Section2-Chapter4 :- Integration of XGBoost and H2O autoML with Spark. * Section2-Chapter5 :- GPU acceeated training using RAPIDS (a cuda framework based software) * Section2-Chapter6 :- Deep Learning using Tensorflow/Keras on GPU * Section2-Chapter7 :- TBD. This is going to be complete hands on series where we would be solving few Cyber Security use cases like : • Malware Detection using Static and Dynamic Analysis. • DDoS Attacks . • IOT detection and • Phishing Attacks In this series I would be using these software and tools (but not limited to): • Tensorflow/Keras for Deep Learning . • Apache Spark for Feature Engineering and Natural Language processing . • H2O for Automated Machine Learning. • RAPIDS a CUDA Framework based software for GPU accelerated training . • MLFlow for experiment tracking . • Kubernetes and Docker for Deployment . • Prometheus and Graphana for Infrastrcture Monitoring • SciKit Learn for building initial proof of concepts . AND many more. And by using one or more combinations of these tools we are going to learn bunch of ML concepts like : • Unsupervised Learning via Clustering techniques • Supervised Learning via Classification • Data Labeling & Feature Extraction • Performance matrices. • Feature Scaling . • Hyperparameter Tuning . And Many More Contact Me LinkedIn :- https://www.linkedin.com/in/shaileshpilare/ Gmail :- super.ezml2020@gmail.com Links discussed in the tutorial GitHub :- https://github.com/ez-ml/ML-For-Cyber-Security Docker Desktop :- https://docs.docker.com/desktop/ Kubernetes Kubectl :- https://kubernetes.io/docs/tasks/tools/install-kubectl/ IntelliJ IDEA :- https://www.jetbrains.com/idea/download Docker Hub :- https://hub.docker.com/ Docker best practises :- https://docs.docker.com/develop/develop-images/dockerfile_best-practices/#dockerfile-instructions