Amazon Elastic Compute Cloud (EC2) - Scalable Cloud Hosting Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Introduction to Amazon EC2 (4:01) Amazon EC2 enables you to increase or decrease capacity within minutes, not hours or days. You have complete control of your instances. You have the choice of multiple instance types, operating systems, and software packages. Amazon EC2 offers a highly reliable environment where replacement instances can be rapidly and predictably commissioned.
Amazon S3 – The Beginner’s Guide Few days ago, I was still struggling with solution to further scale this blog so it will serve contents faster and at the same time, not pressuring the server too hard. Hongkiat.com serves about 50,000 pageviews daily and that consumed about 60-80Gb of bandwidths on a daily basis. Something have to be done here so the requesting of images and files will not affect the stability of the entire server. After some readings, considerations and research, I settle for Amazon S3. You might have heard of it, or perhaps using it already. For the ease of reading, contents are spitted up in the following sections. Full guide after jump. In a Nutshell Amazon Simple Storage Service, also known as Amazon S3 is an online storage facility. Who needs Amazon S3? In S3, there’s no initial charges, zero setup cost. Running out of bandwidthsIf you are on shared hosting account, any Stumble Upon or Digg effect can easily eat up the entire bandwidth limit for the month. Back to top ↑ Gettting an Amazon S3 Account
Openstack, AWS, HyperV, VMware Who Uses These Cloud and Virtualization Systems? OpenStack, AWS, Hyper-V and VMware are different services offering cloud computing or virtualization services. Let's take a closer look to see the advantages of each, as well as look at some companies using them. OpenStack OpenStack provides Infrastructure-as-a-Service (IaaS). It is a fast growing cloud computing project used by small and large companies alike. OpenStack is a cloud operating system consisting of several projects. Amazon Web Services (AWS) Amazon Web Services (AWS) offers a suite of services for cloud computing. AWS cannot be hosted in-house. Hyper-V Previously known as Windows Server Virtualization, Hyper-V is a hypervisor-based platform that provides virtualization. Companies using Hyper-V include Siva Group, Avanade and the MLS Property Information Network. VMware VMWare creates virtualization software and cloud computing programs for Intel-based computers. Conclusion
Amazon Elastic Compute Cloud Amazon Elastic Compute Cloud (EC2) is a central part of Amazon.com's cloud computing platform, Amazon Web Services (AWS). EC2 allows users to rent virtual computers on which to run their own computer applications. EC2 allows scalable deployment of applications by providing a Web service through which a user can boot an Amazon Machine Image to create a virtual machine, which Amazon calls an "instance", containing any software desired. A user can create, launch, and terminate server instances as needed, paying by the hour for active servers, hence the term "elastic". In November 2010, Amazon switched its own retail website to EC2 and AWS.[2] History[edit] Amazon announced a limited public beta test of EC2 on August 25, 2006,[3] offering access on a first come first served basis. Amazon added three new features on March 27, 2008:[7] static IP addresses, availability zones, and user selectable kernels. Amazon EC2 went into full production when it dropped the beta label on October 23, 2008.
Designing Your Cloud Infrastructure Many network architectures include a tiered design with three or more tiers such as core, distribution, and access. Designs are driven by the port bandwidth and quantity required at the edge, in addition to the ability of the distribution and core tiers to provide higher speed uplinks to aggregate traffic. Additional considerations include Ethernet broadcast boundaries and limitations, spanning tree or other loop-avoidance technologies. A dedicated management network is a frequent feature of advanced data center virtualization solutions. With advanced data center virtualization, a frequent use case is to provide isolated networks where different owners such as particular departments or applications are provided their own dedicated networks. Managing the network environment in a private cloud can present challenges that must be addressed.
MongoDB MongoDB (from "humongous") is a cross-platform document-oriented database. Classified as a NoSQL database, MongoDB eschews the traditional table-based relational database structure in favor of JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster. Released under a combination of the GNU Affero General Public License and the Apache License, MongoDB is free and open-source software. First developed by the software company 10gen (now MongoDB Inc.) in October 2007 as a component of a planned platform as a service product, the company shifted to an open source development model in 2009, with 10gen offering commercial support and other services.[1] Since then, MongoDB has been adopted as backend software by a number of major websites and services, including Brave Collective, Craigslist, eBay, Foursquare, SourceForge, Viacom, and the New York Times, among others. Licensing and support[edit]
Amazon Web Services (AWS) - Cloud Computing Services NoSQL "Structured storage" redirects here. For the Microsoft technology also known as structured storage, see COM Structured Storage. A NoSQL (often interpreted as Not Only SQL[1][2]) database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Motivations for this approach include simplicity of design, horizontal scaling and finer control over availability. The data structure (e.g. key-value, graph, or document) differs from the RDBMS, and therefore some operations are faster in NoSQL and some in RDBMS. There are differences though, and the particular suitability of a given NoSQL DB depends on the problem it must solve (e.g. does the solution use graph algorithms?). History[edit] There have been various approaches to classify NoSQL databases, each with different categories and subcategories. A more detailed classification is the following, by Stephen Yen:[9] Performance[edit] Examples[edit] Graph[edit]
VM Import/Export VM Import/Export enables you to easily import virtual machine images from your existing environment to Amazon EC2 instances and export them back to your on-premises environment. This offering allows you to leverage your existing investments in the virtual machines that you have built to meet your IT security, configuration management, and compliance requirements by bringing those virtual machines into Amazon EC2 as ready-to-use instances. You can also export imported instances back to your on-premises virtualization infrastructure, allowing you to deploy workloads across your IT infrastructure. VM Import/Export is available at no additional charge beyond standard usage charges for Amazon EC2 and Amazon S3. To import your images, use the AWS CLI or other developer tools to import a virtual machine (VM) image from your VMware environment. If you use the VMware vSphere virtualization platform, you can also use the AWS Management Portal for vCenter to import your VM.
CouchDB Apache CouchDB, commonly referred to as CouchDB, is an open source database that focuses on ease of use and on being "a database that completely embraces the web".[1] It is a NoSQL database that uses JSON to store data, JavaScript as its query language using MapReduce, and HTTP for an API.[1] One of its distinguishing features is multi-master replication. CouchDB was first released in 2005 and later became an Apache project in 2008. Unlike in a relational database, CouchDB does not store data and relationships in tables. Instead, each database is a collection of independent documents. Each document maintains its own data and self-contained schema. CouchDB implements a form of Multi-Version Concurrency Control (MVCC) in order to avoid the need to lock the database file during writes. Other features include document-level ACID semantics with eventual consistency, (incremental) MapReduce, and (incremental) replication. History[edit] Main features[edit] Document Storage ACID Semantics
JSON JSON (/ˈdʒeɪsən/ JAY-sən),[1] or JavaScript Object Notation, is an open standard format that uses human-readable text to transmit data objects consisting of attribute–value pairs. It is used primarily to transmit data between a server and web application, as an alternative to XML. Although originally derived from the JavaScript scripting language, JSON is a language-independent data format. The JSON format was originally specified by Douglas Crockford. History[edit] Although JSON was originally based on a non-strict subset of the JavaScript scripting language (specifically, Standard ECMA-262 3rd Edition—December 1999[8]) and is commonly used with that language, it is a language-independent data format. Though JSON is commonly perceived as being a subset of JavaScript and ECMAScript, it allows some unescaped characters in strings that are illegal in JavaScript and ECMAScript strings.[9] Data types, syntax and example[edit] JSON's basic types are: Data portability issues[edit] MIME type[edit]