Monthly Archives: July 2018
- Posted: July 20, 2018|
A multi-cloud environment is the more efficient and uniform version of the hybrid cloud environment, which is quite popular in the enterprise landscape of today. By definition, a multi-cloud environment is one which leverages several cloud computing devices – thereby delegating various tasks to the integral cloud components. For some, it has proven very successful, for all the inherent risk factors it brings during the still relatively early days of cloud adoption.
The most common IaaS elements of today’s multi-cloud environments i.e. Amazon Web Services and Microsoft Azure, have brought their unique features to said environments, with Azure steadily gaining in popularity.
- Posted: July 19, 2018|Categories: IT Ops & Management
The modern IT operations team has a plethora of tasks on their hands; from bringing in technological streamlining to making sure existing systems are performing seamlessly, to monitoring the performance of applications and such. It is safe to say that the IT ops teams of today are very different from the ones that existed, say, 2 decades ago – both in terms of capability and tech-related arsenal.
For some reason though, regardless of how much better modern IT operations personnel may be than their precursors, they are faced with essentially similar problems and hindrances that the latter encountered in their day. The way said problems are approached may be different today, nevertheless, the problems still exist, and as we move into the second half of 2018, the necessity of mitigating the issues has increased tenfold.
- Posted: July 19, 2018|Categories: Data Science
If your company is within the IT sphere or working in an industry that requires leveraging big data for organizational ends, you need to have teams that operate with a sharp, analytically superior and innovative mindset. This is because big data requires an eye for details, as well as a capability to arrange the detail into meaningful patterns, which can then let the teams and the company at large, figure out where it should be headed, and what are the key performance indicators it should be focusing on.
Now, the teams in place may already be technologically and technically equipped to handle the data coming in, and understand which sections of data are applicable towards which business ends. However, picking out the most invaluable metrics and potential profit points from a bundle of data, with an eye towards both operational efficiency and overall growth, only comes after dedicated data science training.
- Posted: July 18, 2018|
According to an estimate by Gartner, the total scope of the cloud market will be $186.4 billion this year, which is a 21.4 percent rise as compared to last year. IaaS is the most rapidly growing segment within the market, and will amount to over $40 billion, according to the same report. SaaS; however, is the largest segment at the moment, with revenue growth of over $73.6 billion expected. These numbers represent a market increase that will likely continue the upward trajectory in the coming years, with no signs of slowing down any time soon.
The reasons for so many organizations moving to the cloud include but are not limited to agility, greater scalability, cost benefits, potential for faster business growth, and an openness for innovation, which is generally absent from legacy systems. Despite this, the cloud computing has a number of inherent risks associated with it, which companies are having a difficult time with. While the IT and business landscape is investing in cloud technology and adoption to achieve the benefits mentioned earlier, the risks are gradually being realized, and unfortunately on the enterprise front, the problems are not being tackled adequately.
- Posted: July 18, 2018|Categories: IT Ops & Management
It is no surprise that legacy systems are on the way out, paving the enterprise sphere for modern systems that are rapidly becoming the mainstream. This is a progressive step, since innovation is at the heart of IT, and the entire IT industry needs to innovate on a regular basis just to survive. Customers are smarter, more aware, and more demanding. Companies want more out of their enterprise software suites, and the average general productivity software user wants to glean more productivity per dollar spent.
On the other hand, some enterprises still use legacy systems, which seems to be very counter-productive, what with the cloud being the center of corporate and IT attention. Healthcare is one industry that is most visibly guilty of this, due to their insistent use of pagers; and outdated technology by all means. Pagers send messages via radio transmission, which basically means that external parties could very easily intercept patient health information and put the healthcare official as well as the patient at risk.
- Posted: July 17, 2018|Categories: Data Science
‘Data is king’; we have all heard this expression in the enterprise sphere. With increasing diversity in markets, and constantly changing buyer demands, it has become all the more vital for organizations to leverage data for market and monetary gains. Data, when acquired, needs to be stored in a secure hub, where it can be accessed seamlessly by anyone for whom it is required, in order to drive business goals and conclude projects.
The amount of data generated on a daily basis today is massive, and all of said data needs to be visible; that too in a multi-cloud environment. However, in tandem with this, data security is also a big concern, among others. Data is vital, this is for certain, and with the right approach to data storage and management, companies can manage their big and small data par excellence, making for better bottom lines and exponential growth.
- Posted: July 17, 2018|
The cloud is easily the greatest talk of the town when it comes to new movements in the IT industry. With almost all established and new companies hailing cloud computing as the mainstream computing module of the near future, it seems as though the world is set for another great technology shift, with mass cloud migrations on the horizon.
Unfortunately, all is not as it seems, as despite the popularity of the cloud and the enthusiasm of enterprises to quickly adopt it as their primary platform, there is a distinct shortage of cloud knowledge and operation skills, which is leading to ineffective adoption, slower acclimatization and barriers in the way of seamless migration. With data growing at a stupendous rate and the general IT sphere experiencing massive technology evolution, cloud skills are more vital now, than ever.
- Posted: July 16, 2018
Mounting global cyber security threats, compounded with the ever-developing technology behind said threats, is giving rise to serious information security related concerns. Last year already proved to be a tough one for Info-Sec professionals, the world over, and if 2017 is any indication, this remaining half of 2018 will be even tougher.
More sophisticated threats, including those primed to penetrate the weak spots in organizational information frameworks, enhanced ransomware elements, and internal human error-based information risks are all cause for increased cyber security measures. Unfortunately, all of the above is causing information security professionals to lag behind in terms of expertise. On the other hand, there is some good news, in the form of comprehensive information security training, to bolster the skills of potential information security professionals and ensure businesses maintain their data infrastructure integrity.