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5 Super SEO Blogger Tools

In this post, I have explained top blogging tools that need to be considered by every blogger. These tools help you write better SEO friendly blog posts.



1). Headline Analyzer The best tool is the EMV Headline Analyzer. When you enter the headline it analyzes it and gives you EMV ranking. When you get '50' and above it performs better SEO.

2). Headline Length Checker The usual headline length is 50 to 60 characters. Beyond that, the headline will get truncated and looks ugly for search engine users. The tool SERP Snippet Optimization Tool useful to know how it appears in the search results.

3). Free Submission to Search Engines The tool Ping-O-Matic is a nice free submission tool. After your blog post, you can submit your feed to Ping-O-Matic. It submits to search engines freely.

4). Spell and Grammar Check Another free tool is Grammarly, this tool checks your spelling and grammar mistakes. So that you can avoid small mistakes.

5). Keyword AnalyzerWordstream Keyword analyzer i…

Case Study On Cloud Computing

The concept of cloud computing is in use for many years, but in recent years has it become a highlighted and come in picture. In the year 1990s, cloud computing was developed by major IT providers such as Sun, Microsoft, Google, and Amazon.

Cloud computing
Cloud computing
Different products came into use for different levels of users. The most popular services for end users include web-based email systems (SaaS), e.g. AOL, Gmail, Hotmail, and Yahoo! Mail, and office applications such as Google Docs, Microsoft MS Office Online, Cloud-canvas.com, and Write.fm, etc.

Developers can run their programs on the cloud (PaaS) like Google AppEngine, Windows Azure, and Force.com. Companies or organizations store or backup their large data on remote servers (IaaS), for example, Rackspace, Microsoft Azure, Animoto, Jungle Disk and Amazon's EC2 or S3 servers.

In 2011, the Primary Research Group (PRG) published a report of its recently conducted survey on library use of cloud computing (Primary Research Group, 2011). Participants included 70 libraries worldwide with the majority from the United States. The survey report reveals that 61.97 percent of libraries in the sample used free SaaS while 22.54 percent of libraries sampled used paid subscription SaaS; less than 3 percent of libraries surveyed used PaaS, and 4.23 percent used IaaS.

Most libraries using PaaS or IaaS had annual budgets over $5,000,000. Smaller libraries usually used the servers of their parent organizations, while libraries with multi-million dollar budgets tended to use their own servers.

  • Few case studies also show the exploration and adoption of other models of cloud computing in libraries. For example, California State University libraries have migrated their key library systems to vendors' cloud-based servers (i.e. a public cloud) and to campus IT's internally virtualized environment (i.e. a private cloud) (Wang, 2012). 
  • The Burritt Library at Central Connecticut State University used Amazon's S3 to back up their high-resolution digital objects (Iglesias, 2011). Murray State University library experimented with Dropbox for library services (Bagley, 2011). University of Arizona Libraries have migrated their ILS, Digital Libraries website, Interlibrary Loan system and repository software to cloud-based services (Han, 2010). 
  • The Z. Smith Reynolds Library in Winston Salem, NC, started to use Amazon's EC2 for hosting its website, discovery services, and digital library services in 2009 (Mitchell, 2010b).

The service model represent server administration and maintenance responsibilities are moved from local personnel to the hosting vendor, while the management of the application remains in the traditional way, i.e. librarians are still able to access the backend of the system for local customizations as if they were managing the system locally.

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Tokenization story you need Vault based Vs Vault-less

The term tokenization refers to create a numeric or alphanumeric number in place of the original card number. It is difficult for hackers to get original card numbers.

Vault-Tokenization is a concept a Vault server create a new Token for each transaction when Customer uses Credit or Debit Card at Merchant outlets 
Let us see an example,  data analysis. Here, card numbers masked with other junk characters for security purpose.

Popular Tokenization ServersThere are two kinds of servers currently popular for implementing tokenization.
Vault-based Vault-less Video Presentation on Tokenization
Vault-based server The term vault based means both card number and token will be stored in a Table usually Teradata tables. During increasing volume of transactions, the handling of Table is a big challenge.
Every time during tokenization it stores a record for each card and its token. When you used a card multiple times, each time it generates multiple tokens. It is a fundamental concept.
So the challe…