1. Open Source Community
PostgreSQL is open source and follows open source community guidelines allowing various programming pioneers to examine the code, fix the little bugs, and, while in the process, add new features. The project policies allowing this growth, state:
• This is a collaborative effort; it is a community where everyone benefits, especially when new people and ideas are contributed.
• All contributors get credited, so efforts are rewarded.
• Contributors can also answer users questions that encourage new users to ask questions and report any problems.
2. Works Seamlessly
The PostgreSQL system is reliable, robust and has very few bugs or security flaws. It is through strong collaborative support that it has acquired a reputation as a reliable and efficient database; its once a year updates keep it functioning seamlessly. For programmers PostgreSQL just works. It is transactional and optimized for anything between 1 byte and 1 gigabyte. You don't need to use a different data type for the size column you are using as you do with other database systems.
3. Advanced Features
PostgreSQL has more than a few advanced features that also draw developer use. These coupled with the advanced built in optimizer keeps developers using the system. The following are the features PostgreSQL is best known for:
• Array types that are indexable and work well.
• Server-side programming languages like PL/pgSQL and options that allow you to write procedures in java, tcl, R Perl, Python, Ruby, etc.
• Extensible operators that allow for text research, additionally programmers have access to GIS systems and other data types
• Windowed aggregate queries, plugins, and recursive queries are also fully supported.
4. Cost
PostgreSQL is completely open source, meaning it is free and yet also offers excellent updated versions and follows SQL standards, so you can reuse skills from other databases. Additionally, it has a low DBA overhead, with many people having said they use it and don't have to think about fixing it for years.

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1. ARM Multi-platform Support
Typically, a Linux distribution for x86 computers should have the capacity to boot and function in other PCs (difference arising from motherboard type, chipsets, CPU vendor, GPU models etc.) from a one-point distribution install media. This ability to boot and work in different hardware and system configurations is taken as a standard in the PC world, albeit it never existed in the Linux ARM world. Linux 3.7 boasts of a multiplatform support that allows a single ARM kernel image to be applied to boot several PCs.
2. Enhanced Security Through Signed Kernel Modules
This new version allows users to sign kernel modules if they wish to. The kernel is capable of disabling the loading of modules that haven't been signed in with the correct password, even for root users. This security feature blocks a hacker who has already gained root user access from installing a rootkit via the usual module loading procedures.
3. SMBv2 Support
Contrary to earlier announcements made during the release of Linux 3.6, SMBv2 was not featured in this version. Nevertheless, it is now available in this new kernel. SMBv2 protocol is the successor of SMB network and CIFS file sharing protocols. It offers users better user experience, unmatched security and features that were not available in earlier versions.
4. Networking
The developers of Linux 3.7 have merged support for Network Address Translation (NAT) with IPv6. A number of Linux developers previously questioned the essence of merging NAT with IPv4 as it resulted in redundancy caused by larger address space requirement. However, IPv6 specifications avoid much of the problems linked to IPv4, making the NAT and Ipv6 merge more useful. This feature is particularly relevant to institutions or users who need to make their internal network topography opaque.
5. Intel SMAP Support
The new kernel version boasts of a groundbreaking security feature that will soon be availed for future Intel processors, Supervisor Mode Access prevention (SMAP). This feature prevents kernel access to memory pages accessed by user-space. This in general stops any kind of hacking exploits.

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1. Save Time with Plugins
One key feature of Rails is that it has a defined plugin structure that allows its users to install and run plugins in their application. Hence, there is no need to reinvent the wheel when creating features like forums or messaging systems; there is a wide pool of Rails plugins available that can be easily installed saving you the time and the hustle of coding from scratch.
2. Understand the Model-View-Control Concept
Rails heavily relies on its design framework, model-view-control, hence it is imperative for one to understand what it entails. The model contains the program body with the main functions and generally serves as the business logic of the system. A controller is responsible for transferring data between the model and view. The view forms the part where data is represented to the user. As a golden rule one should never include logic in the view panel.
3. Populate Your Database Using Fixtures
The folder fixtures/test usually contains a yaml representation for each of the models you have generated. Use these representations to define and configure static data for your database. Start by tasking to drop, and then create, transfer and lastly seed your database.
4. Use Modules for Repetitive Non-model Functionalities.
There are instances when you need to carry out some repetitive functions, but in different modules. Further, the things you are generating are not for a particular model. In such situations modules come in handy. Modules are typically loaded from /lib and they can be easily recreated to suit various functionalities.
5. Easy Data Loading
From time to time you'll need to move data from production to development or vice versa. Yaml_db is a plugin that enables you to load or dumb data by issuing a Rake command. The data is then loaded in a yaml file located in db/data.yml. This offers a flexible option of loading data that grants the user the benefit of reading the data from the file.
6. Use Racks to Save Time
Typically, most programming projects involve developing more than one application specific code. Web services need to be queried, code snippets rewritten, and files moved requiring several coding micro-projects. Rake is a build tool scripted in Ruby that works easily with Rails projects. This is because Rail projects have several Rake tasks already defined. To confirm this, simply run the rake -T command.

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1. Your Hosting Company
While an inexpensive shared hosting option may work for a new website, one that gets a lot of traffic will need a more advanced hosting service, and in many instances, a VPS (shameless plug!). A VPS is a great option for many designers and developers to explore their capabilities and options.
2. The Framework
The themed frameworks made specifically for WordPress, keep the workings simple, and offer speedy load times. While you can have a designer say build a custom self-hosted WordPress sites, the themes are the most economically efficient way to get a faster loading website.
3. HTTP Compression
By using Gzip or Deflateit you can essentially compress the files sent over an HTTP connection to a very minimal size. This makes sending the files back and forth to the Internet hosting server faster. You can get the code you need by going to html5boilerplate.com to get the Apache directive code.
4. Caching
Be sure you find an effective caching plugin. These improve page load times and can be found through the plugin feature of your WordPress dashboard; a favorite is W3 Total Cache. Once you download and install the plugin through the plugin feature on your dashboard, you only need to click the "Activate" link initiate it.
5. Combine CSS and JavaScript
A WordPress site should have, at most, 3 CSS files; a global CSS (telling the entire website how to work) and one or two sections or page files. These can then be combined with JavaScript code you write yourself.
6. Optimize Images
Use an image optimizer like Smush.it to reduce the size but not the quality of the image. If you aren't up to doing this with every image you can use the WordPress plugin for Smush.it called WP-SmushIt. This will automatically reduce all of your images automatically for you.
7. Optimize the Homepage
There are several things you can do to optimize your homepage. Here are a handful;
• Showing excerpts of posts instead of the full post.
• Reduce the number of posts you allow on the page. In the beginning you may have opted for the default listing of all posts, but now that you are more experienced you want to keep it at a manageable three to five.
• Remove sharing widgets you don't use from the home page and instead place them on the posts.
• Remove plugins you don't use.
• Keep widgets to a minimum.
You need to keep your website clean and easy to read. People come here to get content not to see all the cool buttons.
8. Take Care of the Database
Download a plugin called WP-Optimize to get rid of spam, old revisions, drafts, tables, which you don't need and could very well be slowing down your site.
9. Hotlinking Status
This could seriously affect you if you make custom images that other webmasters want to hyperlink to. This ‘bandwidth stealing” will obviously slow down your VPS. If too many people do this it will significantly affect your load time.
10. Gravatar Images
Set the Gravatar image to nothing because it improves your load time. If you set the default image to a blank then your site loads faster.

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1. JSON is not Java Script
It is important to point out that JSON is a language independent data format. However, the constructs of JSON arrays and objects adopt JavaScript semantics.
2. Character Set Support
JSON purely relies on Unicode and hence non-Unicode encodings are incompatible. This is in contrast to XML in which ISO-8859-1, US-ASCII, Shift_JIS, and other character sets can be explicitly specified.
3. Schemas
In reality there is no standardized schema language for JSON. However, the debate for needing a standardized schema language is mired by controversy partly because JSON is viewed to be too simple on its own.
4. Performance
From a general perspective, JSON is less 'wordy' than XML, resulting is less payload volumes and memory required.
5. Namespaces
Currently JSON has no standardized name-space specification. This is partly attributed to the fact that many JSON specifications do not require a name spacing function nor the complexities associated with federated name-spacing system.

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Some of my favorite moments in the video:

Vitaliy Zhhuta, our lead system admin, and his solo dance at 11 seconds. Kody Riker, our Support Team Manager, twirling his way around the video at 26 seconds. Rus Foster, the Managing Director of VPS.net, pulling off the splits at 28 seconds. Whitney White, the Social Media Managing, doing her best hopstep at 31 seconds. Svitlana Khorashylova, the Office Manager, getting her boogie on 35 seconds.

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1. Workload Awareness
The design and development of Relational Cloud components is based on the concept of workload awareness. The workload approach is adapted to multi-tenancy, which involves identifying functions, and workloads that can be easily co-located on the server, resulting in high consolidation and better performance. In the long run this reduces configuration efforts for both service providers and users.
2. Database Security
The model boasts an adjustable security framework that is capable of integrating SQL queries (encrypted) capable of ordering operations, joins and aggregates. The work awareness approach also assists in monitoring data accesses and query patterns to gain useful insights applicable when optimizing or operationalizing security functions.
3. Elastic Scalability
The adoption of a graph based data partitioning algorithm assists to achieve near linear elastic scale out, even when carrying out complex operations. This enables the system to support workloads and databases of different sizes since the number of multi-node transactions are minimized.
4. Efficient Multi-Tenancy
The ultimate goal of any database developer is to design a system that minimizes the set of machines required while still meeting application level performance goals. In regards to this, Relational Cloud archives scalability in the sense that it requires the developer to predetermine the resource requirements of individual workloads, how they will co-locate on one machine, and how to benefit from temporal variations of individual workloads to optimize hardware utilization efficiency.
5. Placement and Migration
Resource migration and placement is obviously a major challenge when designing multi-tenant services such as Relational Cloud. Nevertheless, Relational Cloud overcomes this hurdle as it allows arbitrary placement of new database or workloads on some designated nodes for applications.

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