AWS, Azure, GCP Certifications

Hi Friends, We are going conduct free demo session on following technologies i.e *Cloud Computing, AWS, Azure, Google cloud and Dev ops* Session will be through online Team Viewer application, Download Link: *https://dl.tvcdn.de/download/TeamViewer_Setup.exe* Date: *15-Dec-2018 & 16-Dec-2018 | Saturday and Sunday* Timing: Morning between *7 - 10am* Evening Between *4 - 7pm* Duration: *1.5 hrs* Interested candidate can join by clicking below whats app group link *https://chat.whatsapp.com/LNHj8whZyYUGVDvEzUoF2e* For more details can contact *7092 90 91 92 and 82202 17640* write an email to operations@hitechins.in Official Website: *https://www.hitechins.in*

Hi Frds, Today Technotes Domain : Cloud Computing Aws Vs Azure Vs Google: Networking and Content Delivery Each cloud service provider offers different networks. Amazon’s network is the Virtual Private Cloud, Azure’s network is the Virtual Network, and Google’s network is the Subnet. On the basis of services provided by networking & content delivery domain, the difference between the top three public clouds is given by the table below. *Hi-Tech Institution* *9092909192*

*AWS Vs Azure Vs Google: Compute* Compute is a computer’s fundamental role. It contains services related to compute workloads. An effective cloud provider has the ability to scale thousands of nodes in just a few minutes. Amazon EC2 provides core computing services to configure VM (Virtual Machines) with the use of custom or pre-configured AMIs while Azure provides a VHD (Virtual Hard Disk), which is similar to Amazon’s AMI to configure VM. Google provides Google Compute Engine to introduce cloud computing services. On the basis of services provided by the compute domain, the difference between the top three public clouds is given by the following table.

Hai frds Today tech notes Domain : *cloud* Topics : *AWS Snowball* AWS Snowball is a data transport solution that accelerates moving terabytes to petabytes of data into and out of AWS using storage devices designed to be secure for physical transport. Using Snowball helps to eliminate challenges that can be encountered with large-scale data transfers including high network costs, long transfer times, and security concerns. *How much data can I transfer using Snowball?* You can transfer virtually any amount of data with Snowball using multiple devices in parallel or serially one after another. For example, move 150 TB at one time with two 80TB devices, or order a single device to move 80TB and then order a second device for the remaining 70TB. *What is the Snowball Client?* The AWS Snowball Client is software that you install on a local host computer and that helps you to efficiently identify, compress, encrypt, and transfer data from the directories you specify to a Snowball *How long does it take to transfer my data?* 📍Data transfer speed is affected by a number of factors including local network speed, file size, and the speed at which data can be read from your local servers. 📍for example, less than a day to copy 48TB of data, depending on your local environment *How long can I have a Snowball for a specific job?* For security purposes, data transfers must be completed within 90 days of a Snowball's preparation. This should be enough time to transfer up to 80TBs of data using one Snowball device. *What network interfaces does Snowball support?* Snowball has 10Gbps network interfaces with RJ45, SFP+ copper, and SFP+ optical network ports. *When should I consider using Snowball instead of AWS Direct Connect?* AWS Direct Connect provides you with dedicated, fast connections from your premises to the AWS network. If you need to transfer large quantities of data to AWS on an ongoing basis, AWS Direct Connect might be the right choice. *Can I use Snowball to migrate data from one AWS region to another AWS region?* No. Snowball is intended to serve as a data transport solution for moving high volumes of data into and out of a designated AWS region. *Hi-Tech Institution* *7092909192*

Today tech notes Domain : *aws* *Amazon EC2* Resizable compute capacity in the Cloud 750 hours per month of Linux, RHEL, or SLES t2.micro instance usage 750 hours per month of Windows t2.micro instance usage *AWS Lambda* Compute service that runs your code in response to events and automatically manages the compute resources 1,000,000 free requests per month Up to 3.2 million seconds of compute time per month *Elastic Load Balancing* Automatic distribution of incoming application traffic across multiple Amazon EC2 instances 750 Hours per month shared between Classic and Application load balancers 15 GB of data processing for Classic load balancers 15 LCUs for Application load balancers *Amazon S3* Secure, durable, and scalable object storage infrastructure 5 GB of standard storage 20,000 Get Requests 2,000 Put Requests *Amazon RDS* Managed Relational Database Service for MySQL, PostgreSQL, MariaDB, Oracle BYOL, or SQL Server 750 Hours per month of db.t2.micro database usage (applicable DB engines) 20 GB of General Purpose (SSD) database storage 20 GB of storage for database backups and DB Snapshots *Hi-Tech Institution*