Docker – Cheat Sheet

Hello Bloggers, One of the most important thing in learning a new command quickly is going through the cheat Sheet. I Love to go through Cheat Sheets for a quick references, therefore i thought of consolidating some of the cheat sheets available online into my blog, for a quick ref. Advertisements

Apache Storm – Introduction

Apache Storm is a distributed real-time big data-processing system. Storm is designed to process vast amount of data in a fault-tolerant and horizontal scalable method. It is a streaming data framework that has the capability of highest ingestion rates. Though Storm is stateless, it manages distributed environment and cluster state via Apache Zookeeper. It is simple and you can execute all kinds of manipulations on real-time data in parallel. Apache Storm is continuing to be a leader in real-time data analytics. Storm is easy to setup, operate and it guarantees that every message will be processed through the topology at least once. Basically Hadoop and Storm frameworks are used for analysing big data. Both of them complement each other and differ in some aspects. Apache Storm does all the operations except persistency, while Hadoop is good at everything but lags in real-time computation. The following table compares the attributes of Storm and Hadoop. Storm Hadoop Real-time stream processing Batch processing

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Docker – Basic Installation & Configuration

Youtube Video :- Command :- sudo yum install -y yum-utils \   device-mapper-persistent-data \   lvm2 sudo yum-config-manager \     –add-repo \ sudo yum install docker-ce yum list docker-ce –showduplicates | sort -r sudo systemctl start docker sudo docker run hello-world docker volume create portainer_data docker run -d -p 9000:9000 -v /var/run/docker.sock:/var/run/docker.sock -v portainer_data:/data portainer/portainer docker service create \ –name portainer \ –publish 9000:9000 \ –replicas=1 \ –constraint ‘node.role == manager’ \ –mount type=bind,src=//var/run/docker.sock,dst=/var/run/docker.sock \ portainer/portainer \ -H unix:///var/run/docker.sock

Ansible for TIBCO (Stop-Start TIBCO Suite)

WHY ANSIBLE? Working in IT, you’re likely doing the same tasks over and over. What if you could solve problems once and then automate your solutions going forward? Ansible is here to help. COMPLEXITY KILLS PRODUCTIVITY Every business is a digital business. Technology is your innovation engine, and delivering your applications faster helps you win. Historically, that required a lot of manual effort and complicated coordination. But today, there is Ansible – the simple, yet powerful IT automation engine that thousands of companies are using to drive complexity out of their environments and accelerate DevOps initiatives. ANSIBLE LOVES THE REPETITIVE WORK YOUR PEOPLE HATE No one likes repetitive tasks. With Ansible, IT admins can begin automating away the drudgery from their daily tasks. Automation frees admins up to focus on efforts that help deliver more value to the business by speeding time to application delivery, and building on a culture of success. Ultimately, Ansible gives teams the one thing they can never get enough of: time. Allowing

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How To Install and Configure Redis on Ubuntu 16.04

Introduction Redis is an in-memory key-value store known for its flexibility, performance, and wide language support. In this guide, we will demonstrate how to install and configure Redis on an Ubuntu 16.04 server. Prerequisites To complete this guide, you will need access to an Ubuntu 16.04 server. You will need a non-root user with sudo privileges to perform the administrative functions required for this process. You can learn how to set up an account with these privileges by following our Ubuntu 16.04 initial server setup guide. When you are ready to begin, log in to your Ubuntu 16.04 server with your sudo user and continue below. Install the Build and Test Dependencies In order to get the latest version of Redis, we will be compiling and installing the software from source. Before we download the code, we need to satisfy the build dependencies so that we can compile the software. To do this, we can install the build-essential meta-package from the Ubuntu repositories. We will also be

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