Saturday 17 April 2021
  • :
  • :

Technology Terms You Should Know!

Technology Terms You Should Know!  is a great Resource for the newest Tech Terms. is our main resource for this.

Here are few good ones.. hope you know them.

augmented reality (AR)

Augmented reality (AR) is the integration of digital information with the user’s environment in real time. Unlike virtual reality, which creates a totally artificial environment, augmented reality uses the existing environment and overlays new information on top of it.

Boeing researcher Thomas Caudell coined the term augmented reality in 1990, to describe how the head-mounted displays that electricians used when assembling complicated wiring harnesses worked. One of the first commercial applications of AR technology was the yellow “first down” line that began appearing in televised football games sometime in 1998. Today, Google glass and heads-up displays in car windshields are perhaps the most well-known consumer AR products, but the technology is used in many industries including healthcare, public safety, gas and oil, tourism and marketing.


Augmented reality apps are written in special 3D programs that allow the developer to tie animation or contextual digital information in the computer program to an augmented reality “marker” in the real world.  When a computing device’s AR app or browser plug-in receives digital information from a known marker, it begins to execute the marker’s code and layer the correct image or images.

AR applications for smartphones typically include global positioning system (GPS) to pinpoint the user’s location and its compass to detect device orientation. Sophisticated AR programs used by the military for training may include machine vision, object recognition and gesture recognition technologies.

machine learning

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.

The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension — as is the case in data mining applications — machine learning uses that data to detect patterns in data and adjust program actions accordingly. Machine learning algorithms are often categorized as being supervised or unsupervized. Supervised algorithms can apply what has been learned in the past to new data. Unsupervised algorithms can draw inferences from datasets.

Facebook’s News Feed uses machine learning to personalize each member’s feed. If a member frequently stops scrolling in order to read or “like” a particular friend’s posts, the News Feed will start to show more of that friend’s activity earlier in the feed. Behind the scenes, the software is simply using statistical analysis and predictive analytics to identify patterns in the user’s data and use to patterns to populate the News Feed. Should the member no longer stop to read, like or comment on the friend’s posts, that new data will be included in the data set and the News Feed will adjust accordingly.

horizontal scalability

Horizontal scalability is an approach to increasing capacity that relies on connecting multiple hardware or software entities so they work as a single logical unit. Horizontal scalability can be contrasted with vertical scalability, which increases capacity by adding more resources (such as memory) to the same machine. Vertical scalability is often referred to as scaling up, while horizontal scalability is often referred to as scaling out.

Server clusters scale out horizontally. When a cluster requires more resources to improve performance and provide high availability (HA), the administrator can simply increase capacity by adding more servers to the cluster. The distributed storage system Cassandra also scales out horizontally, running on top of hundreds of commodity servers spread out across multiple data centers.

Although scaling out with commodity hardware might seem to be a cost-effective solution at first glance, it’s important for the IT administrator to know whether the licensing costs for additional servers, as well as the additional cost of powering and cooling them truly makes horizontal scalability a better choice than vertical scalability.

ITSM (IT Service Management)

IT Service Management (ITSM) is a general term that describes a strategic approach for designing, delivering, managing and improving the way information technology (IT) is used within an organization. The goal of every IT Service Management framework is to ensure that the right processes, people and technology are in place so that the organization can meet its business goals.

Popular ITSM frameworks include:


ITIL (Information Technology Infrastructure Library) – a framework that provides best practices for aligning IT with business needs. The most widely used framework for IT process management is ITIL v3, which has five parts: Strategy, Design, Transition, Operations and Continual Service Improvement. Ongoing development for ITIL has been vested in Axelos, a joint-venture company created by the U.K. Cabinet Office and Capita PLC.


COBIT – a framework for developing, implementing, monitoring and improving information technology (IT) governance and management practices. The COBIT framework is published by the IT Governance Institute and the Information Systems Audit and Control Association (ISACA).


Microsoft Operations Framework – a series of 23 documents that guide IT professionals through the processes of creating, implementing and managing efficient and cost-effective services. Like ITIL, MOF includes guidelines for the entire lifecycle of an IT service, from concept to retirement or replacement.


Six Sigma – a management framework developed by Motorola. The framework emphasizes setting extremely high objectives, collecting data, and analyzing results to a fine degree as a way to reduce defects in products and services.


ISO 20000 – a global standard that describes the requirements for an ITSM system. Although the standard was developed by developed by the British Standards Institutions to mirror best practices described within the ITIL framework, it also supports other frameworks, such as Microsoft’s Operations Framework.


TOGAF (The Open Group Architecture Framework) – provides a structured approach for organizations seeking to organize and govern their implementation of technology, particularly software technology.
TOGAF was created and is maintained by The Open Group, an independent industry association.

Cloud Cruiser

Cloud Cruiser is a vendor that offers cost-analtyics software for hybrid cloud and multicloud computing environments. The goal of Cloud Cruiser software is to help customers monitor and control how much money they are spending on cloud deployments across heterogeneous IT environments. The software provides customers with financial intelligence and well as chargeback and multi-tenant cloud billing capabilities.

Cloud Cruiser is most closely associated with helping customers identify the actual costs of deploying application workloads on Amazon Web Services, Microsoft Azure and Google Cloud Compute although the software is also compatible with Rackspace, VMware and OpenStack. In 2016, the vendor released Cloud Cruiser 16, a software-as-a-service version of Cloud Cruiser.


Cloud Cruiser’s software consists of two major components delivered as one product offering: Cloud Cruiser Insights and Cloud Cruiser Foundations. Insights is a recommendation engine that analyzes the cloud environments and generates suggestions for efficiencies to reduce costs and provides alerts when a budget is close to being reached or exceeded. Foundations collects raw data from the organization’s cloud deployments and allows the customer to map consumption to a particular business group, department, geography, datacenter, tower or project. Both components can be viewed through a single pane of glass in an interactive, customizable dashboard.


Other tools and resources provided by Cloud Cruiser include:

  • Cloud Cruiser TCO Tool: Assists with calculating the total cost of ownership (TCO) of a cloud deployment.
  • Cloud Cruiser ROI Calculator: Analyzes an organization’s three-year return on investment (ROI) for a cloud deployment. This tool is meant to be used alongside the Cloud Cruiser TCO Tool.
  • Cloud Pilot Checklist: Gives organizations a list of requirements and considerations for deploying a cloud computing pilot project.

For users who don’t require high levels of customization, Cloud Cruiser offers CloudSmart-Now, a set of pre-configured templates with built-in workflows for tracking cloud services costs and usage. As of this writing, CloudSmart-Now can be used with AWS, Microsoft Azure, Windows Azure Pack (WAP), VMware and OpenStack.

Cloud Cruiser was founded in 2010 by David Zabrowski and Gregory Howard, and its headquarters are in San Jose, California.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.