The Secret Sauce of Tech-related Blog Content

By Tina Ornstein, IOD Editor
Blogging on technical topics for a knowledgeable audience is a little bit like tightrope walking — it requires incredible balancing skills and one false step sends you plummeting into oblivion. In other words, if you don’t find the right balance between technical expertise and audience engagement, then your blog will be ignored (which is the equivalent of oblivion in the content world.)
At IOD, we have developed and perfected our own secret sauce for helping our customers reach their target audiences. Our methodology is based on one simple mantra: “writers are not experts and experts are not writers.” Thus a successful technical blog, (i.e., a blog that gets traction with its target audience) requires the collaboration of an expert and a content person — either a writer or a proactive editor.
Although chefs tend to guard their secret sauces carefully, we at IOD believe in transparency and are happy to share with you the key ingredients of ours.
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How Often Do Tech Blogs Post? FYI: TechCrunch Published 1,076 Articles in January

The web is exploding with content and publications about the cloud and technology, which can make it challenging to garner attention for your own blog’s content. Consequently, we created Ideation, a tool that aggregates hundreds of thousands of articles from tech publishers ranging from giant tech blogs, such as TechCrunch, to small cloud startup blogs. All you do is search for a keyword(s) or topic, then Ideation automatically finds and ranks current related articles according to the amount of shares that they receive on social platforms. Ideation is comparable to BuzzSumo, but the big difference is that Ideation is free and is geared towards cloud technology-based content.
I asked our talented development team to provide some numbers about the articles that we’ve already aggregated to show you how often tech blogs and sites post and get an idea of how often you should, too.
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Consumption, Utilization and Elasticity: Cloud Basics

newvem cloud utilization heatmap
Cloud Utilization Heatmap by Newvem

Lets start with a basic scenario where there is a sudden peak in the demand for an application service as the amount of clients’ requests increase. This event leads to a direct and immediate impact on the load placed on the web servers that host the service. In the traditional world, the number of servers is fixed, therefore an overload adversely affects the application performance and the service may slow down or even be terminated. The IT team would want to restore the environment functionality and bring the service up as soon as possible. The immediate impact  of such an event on the business can be devastating. Starting with this simple understanding, we can move into the world of cloud computing use including resources consumption, while relating to the key differences between the traditional data center and today’s cloud technologies.
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