#install mongodb on ec2 ubuntu

[deekshachoudhary]

If the software you have is for PC computers and you want to Install Mongodb Linux, you purchase it on DevOps. This is a software program that essentially allows you to use a PC's operating system right on the Mac. This way, you can run any PC program that you have! You should get a PC operating system to accompany it. https://www.devopscheetah.com/install-mongodb-on-amazon-linux/

[weetrust]

Robo 3t free version

#ROBO 3T FREE VERSION INSTALL#

#ROBO 3T FREE VERSION UPDATE#

Run the script to start the installation process: sudo bash studio-3t-linux-圆4.shĪs you run the script, a GUI Setup will open.

#ROBO 3T FREE VERSION INSTALL#

Now, to see whether the downloaded file is there or not use: lsĪs you are confirmed, the Studio 3T free file is there, extract it first: tar -xvf studio-3t-linux-圆4.tar.gzĪfter extracting the Tar archived file we have downloaded, you will have a script to install Studio 3T free on Ubuntu 22.04 system. Because whatever we download using the browser goes into that. Once you have downloaded the Robot 3T now known as a Studio 3T Free, go to the Downloads directory. Therefore, we have to download it manually from its website. Unfortunately, Studio 3T free version is not available to install using the standard repository of Ubuntu 22.04.

#ROBO 3T FREE VERSION UPDATE#

Open your terminal and run: sudo apt update & sudo apt upgrade This will also rebuild the system’s APT package index. Let’s execute the given command to install the latest available security updates for our system. The steps given here can be used for other versions of Ubuntu such as 20.04 or 18.04 including on Linux such as Debian, Linux Mint, and more… Update Ubuntu 22.04 Steps to install Robo 3T or Studio 3T free on Ubuntu 22.04 Studio 3T free Interface on Ubuntu 22.04.Steps to install Robo 3T or Studio 3T free on Ubuntu 22.04.⇒ Supported cloud platforms are MongoDB Atlas, Compose, mLab, ObjectRocket, ScaleGrid, Amazon EC2 ⇒ Support for SCRAM-SHA-256 auth mechanism ⇒ Support for importing from MongoDB SRV connection strings ⇒ Visual tool helping you manage Database ⇒ Native and cross-platform MongoDB manager It allows CSV, JSON, SQL, and BSON import/export, MongoDB task scheduling, data masking for protection, data schema exploration, real-time code auto-completion, and more. On one hand, the Studio 3T is a paid tool, whereas the Studio 3T Free is a free version with users can build queries using drag and drop functionality, generate driver code in seven languages, break down aggregation queries, plus more. It is also a cross-platform MongoDB GUI management tool available for Windows, macOS, and Linux. Formerly, Robo 3T is known as Robomongo, and now Studio 3T Free. Robo 3T offer MongoDB a GUI interface tool that is maintained and provided by the developers of MongoDB client Studio 3T (paid one with 30 days trial). Tutorial to install Robot 3T or Studio 3T free on Ubuntu 22.04 LTS Jammy JellyFish using the command line to get a Graphical user interfaces for managing your Mongo DB server instance.

[cloud2help-blog]

How to Install MongoDB in Ubuntu

In this article we are going to see how to install mongodb in ubuntu. MongoDB is an open source database management platform based on document which stores data in JSON-like formats. It is a Non-relational database, or ‘ NoSQL ‘database which is highly scalable, modular and distributed. 

Read: How to Launch AWS EC2 Instance

How to Install MongoDB in Ubuntu

To Install mongodb in…

[devopsmyway]

Install MongoDB on EC2( Amazon Linux 2)

Install MongoDB on EC2( Amazon Linux 2)

This tutorial explains, How to Install MongoDB on EC2 (Amazon Linux 2)

MongoDB is an opensource NoSQL database that keeps data as Jason-like structure, unlike SQL database that stores data in table structure.

Also Read: How to install Anaconda on Linux

&&    15 Important PostgreSQL commands you must know

Install MongoDB on Ubuntu using Yum

Step 1– Update Amazon Linux 2

 $ yum update  -y

Step 2…

[globalmediacampaign]

Ramping up on Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is compatible with MongoDB 3.6 drivers and tools. A vast majority of the applications, drivers, and tools that you already use today with their MongoDB database can be used with Amazon DocumentDB with little or no change. In this blog post, I provide you with a quick summary and set of resources, to the topics that I get asked about the most, so that you can quickly ramp up on Amazon DocumentDB: What is Amazon DocumentDB? How to get started with Amazon DocumentDB? How to build and scale with Amazon DocumentDB? How to migrate to Amazon DocumentDB? Who is using Amazon DocumentDB? How to stay up to date with Amazon DocumentDB? What is Amazon DocumentDB? To learn more about what makes Amazon DocumentDB unique and how its cloud-native architecture leverages the separation of storage and compute to help you scale quickly, visit the following resources: Amazon DocumentDB Deep Dive (from re:Invent 2019) In this talk, I give an overview of why developers choose the document model, common use cases, examples of when you should consider an alternative data store, and how Amazon DocumentDB solves specific customer problems related to managing and scaling document databases. The highlight of the session is how Fulfillment by Amazon (FBA) reduced their database infrastructure footprint from 96 instances of their previous solution to just two Amazon DocumentDB instances. Migrating to Amazon DocumentDB simultaneously increased performance by 66 percent and reduced costs by 45 percent. FBA’s example shows the result of using the right database for the job. FBA also provides a great set of lessons learned for scaling reads and writes, and indexing strategies with Amazon DocumentDB. The talk also includes three live demos where I create a snapshot backup of a 1.5-TB cluster in less than one minute, add a new instance to the same 1.5-TB cluster in five minutes, and query data in Amazon DocumentDB with a SQL interface using the new federated query capabilities in Amazon Athena. Features As a fully managed database service, Amazon DocumentDB provides a number of capabilities and features that enable you to build performant, scalable, secure and compliant, and highly available applications on AWS. FAQs The most frequently asked questions for Amazon DocumentDB. FAQs include What does “MongoDB-compatible” mean?, Does Amazon DocumentDB have an SLA?, How does per-second billing work?, and more. How to get started with Amazon DocumentDB? Interested in getting to “hello world” with Amazon DocumentDB? Visit the following guides and documentation for more information: Getting started guide Go from zero to “Hello World’ with the getting started guide. Learn how to provision an Amazon DocumentDB cluster using the AWS Management Console or AWS CLI and connect and query using the mongo shell. Connecting from AWS Cloud9 For development, test, and management, you can use AWS Cloud9 to connect to and access your Amazon DocumentDB cluster from your web browser. AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code using just a browser. It provides a web-based terminal access (Amazon Linux or Ubuntu) so that you can install mongo shell or any MongoDB SDK and connect to Amazon DocumentDB. Connecting from outside a VPC Amazon DocumentDB clusters are deployed within an Amazon Virtual Private Cloud (Amazon VPC). Clusters can be accessed directly by Amazon EC2 instances or other AWS services that are deployed in the same Amazon VPC. Additionally, clusters can be accessed by EC2 instances or other AWS services in different VPCs in the same AWS Region or other Regions via VPC peering. How to build and scale with Amazon DocumentDB? When you are ready to starting building and scaling on Amazon DocumentDB, below are the key resources that you are going to want to start with. Best practices Learn best practices for working with Amazon DocumentDB. This section is continually updated as new best practices are identified. Monitoring Amazon DocumentDB provides Amazon CloudWatch metrics for your cluster and instances. You can use the AWS Management Console to view over 20 key operational metrics for your cluster, including compute, memory, storage, query throughput, and active connections. Additionally, you can use the profiler in Amazon DocumentDB to log the execution time and details of operations that were performed on your cluster. The profiler is useful for monitoring the slowest operations on your cluster to help you improve individual query performance and overall cluster performance. Read scaling Unlike traditional monolithic database architecture, Amazon DocumentDB separates storage and compute. Given this modern architecture, we encourage you to read scale on replica instances. Reads on replica instances do not block writes being replicated from the primary instance. You can add up to 15 read replica instances in a cluster and scale out to millions of reads per second. Backup and PITR restore Amazon DocumentDB’s backup capability enables point-in-time recovery for your clusters. This allows you to restore your cluster to any second during your retention period, up until the last five minutes. Your automatic backup retention period can be configured up to thirty-five days. Automated backups are stored in Amazon S3, which is designed for 99.999999999% durability. Amazon DocumentDB backups are automatic, incremental, and continuous and have no impact on cluster performance. Security Amazon DocumentDB allows you to encrypt your databases using keys you create and control through AWS Key Management Service (KMS). On a cluster running with Amazon DocumentDB encryption, data stored at rest in the underlying storage is encrypted, as are the automated backups, snapshots, and replicas in the same cluster. By default, connections between a client and Amazon DocumentDB are encrypted-in-transit with TLS. Pricing and the Pricing Calculator There are no upfront investments required to use Amazon DocumentDB, and you only pay for the capacity they use. Amazon DocumentDB charges on four dimensions: instance, storage, IOPS, and backup storage. High Availability and Replication You can achieve high availability and read scaling in Amazon DocumentDB by using replica instances. The health of your Amazon DocumentDB cluster and its instances are continuously monitored. On instance failure, Amazon DocumentDB automates failover to a replica. Amazon DocumentDB recovery does not require the potentially lengthy replay of database redo logs, so your instance restart times are typically 30 seconds or less. It also isolates the database cache from database processes, allowing the cache to survive a database restart. How to migrate to Amazon DocumentDB? Many developers are looking to get out of the business of investing in undifferentiated heavy lifting and self-managing their databases. You migrate your MongoDB databases on-premises or on Amazon EC2 to Amazon DocumentDB for free (for six months per instance) with virtually no downtime using the AWS Database Migration Service (DMS). With DMS, you can migrate from a MongoDB replica set or from a sharded cluster to Amazon DocumentDB. In the three-minute video below, learn how to perform a live migration from MongoDB to Amazon DocumentDB using the AWS DMS. In this video, I set up two identical applications running against MongoDB (source) and Amazon DocumentDB (target), create a DMS task for a live migration, make changes to the source application, and then verify the live migration with the target application. To perform migrations, you typically us the AWS DMS to perform online, hybrid, or offline migrations. To learn more about migrations, visit the following: Migration guide The Amazon DocumentDB migration guide walks you through all the phases – discovery, planning, testing, failover – that you need to consider for a migration. The guide also discusses different approaches (online, hybrid, offline) and tools like DMS that help you migrate to Amazon DocumentDB. Migration overview (from re:Invent 2019) Jeff Duffy, the senior specialist solutions architect for Amazon DocumentDB, provides an overview of customers’ strategies and considerations when migrating to Amazon DocumentDB. The session includes discussions about relational and nonrelational sources, migration phases of discovery/planning/testing/execution, cluster sizing, and migration tooling. The highlight of the session is FINRA’s story of how they migrated from a relational database using XML to Amazon DocumentDB. With Amazon DocumentDB, FINRA can move faster using JSON natively in their database because there is no transformation layer needed from the application. FINRA also discusses how Amazon DocumentDB met their high SLA and security requirements. Migration tutorial Use the Amazon DocumentDB migration tutorial to guide you through the process of migrating from self-hosted MongoDB to Amazon DocumentDB using AWS DMS. Migration Workshop: Migrating your MongoDB Database to Amazon DocumentDB In this Workshop, practice how to migrate your MongoDB databases to Amazon DocumentDB using different strategies. Who is using Amazon DocumentDB? Customers like Capital One, OnDeck, Freshop, Woot!, Amazon and many more are using Amazon DocumentDB to build and scale their applications on AWS. To learn more about customers using Amazon DocumentDB, visit the following: Learn how Fulfillment by Amazon uses Amazon DocumentDB Learn how Fulfillment by Amazon (FBA) reduced their database infrastructure footprint from 96 instances of their previous solution to just two Amazon DocumentDB instances. Migrating to Amazon DocumentDB simultaneously increased performance by 66 percent and reduced costs by 45 percent. FBA’s example shows the result of using the right database for the job. FBA also provides a great set of lessons learned for scaling reads and writes, and indexing strategies with Amazon DocumentDB. Learn how FINRA migrated from Oracle to Amazon DocumentDB Learn how FINRA migrated from a relational database using XML to Amazon DocumentDB. With Amazon DocumentDB, FINRA can move faster using JSON natively in their database because there is no transformation layer needed from the application. FINRA also discusses how Amazon DocumentDB met their high SLA and security requirements. Deutsche Fußball Liga GmbH (DFL) uses AWS and Amazon DocumentDB their publishing platform “We, the Deutsche Fußball Liga GmbH (DFL) use AWS to power our publishing platform, delivering the latest news from the league to millions of fans worldwide. As our content and user base grew, we had a focus on maintaining our relational database’s performance. We migrated to Amazon DocumentDB (with MongoDB compatibility) because of its flexible schema, native JSON support that enables our developers to deploy faster, and its decoupled architecture can scale our read throughput in minutes. We prototyped the application locally using the MongoDB Community Edition, and quickly deployed to production on Amazon DocumentDB. Everything worked just as we expected and we have successfully scaled our database performance.” -Andreas Heyden, CEO DFL Digital Sports, EVP Digital Innovations – DFL Group How to stay up to date with Amazon DocumentDB? Amazon DocumentDB launches, blogs, and videos Find the latest Amazon DocumentDB launches, blogs, and webinars. Amazon DocumentDB Documentation We are constantly updating our technical documentation and best practices based on your feedback. MongoDB API compatibility and functional difference You can find the most up-to-date list of supported MongoDB APIs and functional differences. We are constantly listening and working backwards from our customers to deliver the capabilities that they want the most Ask a question on the Amazon DocumentDB forum Use the Amazon DocumentDB AWS Forums to learn, share​ knowledge, and get answers from a community of developers and the service team.     About the Authors   Joseph Idziorek is a Principal Product Manager at Amazon Web Services.         Sameer Kumar is a Senior Specialist Technical Account Manager at Amazon Web Services. He focuses on Amazon RDS PostgreSQL, Aurora PostgreSQL and DocumentDB. He works with enterprise customers providing technical assistance on database operational performance and sharing database best practices.     https://probdm.com/site/MTk0OTg

[mathewjames3-blog]

Mathew James - Technical Director

Address:

Registered Office, Three Gables, Cornerhall

Hemel Hempstead, Hertfordshire

HP3 9HN

Phone:

0330 113 6457

Business Email:

info@iteverywhere.co.uk

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https://www.iteverywhere.co.uk

Keywords or tags:

IT Everywhere | Web design company and digital marketing agency, providing affordable professional digital services in web design, mobile apps, online marketing, brand development in Hertfordshire, Buckinghamshire, Bedfordshire, Lincolnshire, Warwickshire, London, PHP, WordPress, Drupal, CakePHP, Magento, PrestaShop, oscommerce, opencart, zencart, cubecart, JAVA, J2EE, JSP, JDBC, MVC, C# .Net, VB, XML, XSLT, Webservices, WSDL, SOAP, JSON, RESTful, HTML 5, CSS3, HTML, XHTML, Java Script, JQuery, Adobe Photoshop, Adobe illustrator, Databases: SQL, MySQL, SQL Server 2005/2008, Oracle 11g, Stored procedures, MongoDB, Amazon Aurora, Payment Gateways: Worldpay, Verifone, Sagepay, Stripe, Amazon pay, Go Cardless, Paypal, TNSI, Servers: Apache, Tomcat, JBOSS, Server Management: Server deployments, installing and configuring VPS servers, Centos, Ubuntu, Debian, AWS, EC2, S3, Route53, Email servers, Postifx, DNS Servers, VMWare, Vsphere and Virtual Box

Description:

Web design company and digital marketing agency, providing affordable professional digital services in web design, mobile apps, online marketing, brand development.

Year Found:

2013

Number of Employee:

10-15