Category Archives: Cloud Computing

Bitkom: 73 percent of German companies use Cloud Computing

The proportion of companies using cloud computing has risen by 7 percent compared to the previous year, while 54 percent of companies surveyed by Bitkom and KPMG confirm an increase in data security.

The industry association Bitkom and the auditing company KPMG have published the Cloud Monitor 2019, based on a representative survey that has been conducted annually since 2011.

The sample comprises 553 people from companies with at least 20 employees in Germany.

The interviewees are exclusively executives with responsibilities in the Information Technology (IT) organizational area or members of management.

For the full story, head over to our sister site


How to Land a Job in Cloud Computing

These 9 tips can help you transition from a traditional IT role to a lucrative position in cloud computing.PreviousNext

As enterprises migrate a constantly expanding number of their workloads to the cloud, they need an ever-increasing number of IT professionals with cloud computing skills. That’s driving up cloud salaries and attracting more job applicants.

According to PayScale, the average U.S. salary for workers with cloud computing skills is $122,000. And the Robert Half Technology 2019 Technology and IT Salary Guide reported, “Cloud architects, cloud systems engineers and cloud developers are among the roles in high demand.” It also noted that cloud computing analysts near the top of their profession are earning between $118,00 and $159,500 per year.

Similarly, Global Knowledge is reporting very high salaries for cloud-related certifications. In fact, in its list of 15 Top-Paying IT Certifications for 2019, three of the top five were related to cloud computing. In fifth place, AWS Certified Developer Associate certification pays an average salary of $130, 369, and fourth place went to AWS Certified Solutions Architect Associate with an average salary of $132,840. At the very top of the chart, the Google Certified Professional Cloud Architect certification pays an average of $139,529, which was good enough for first place.

It isn’t just the money that’s attracting IT professionals to the cloud. Today, a wide variety of roles are requiring cloud expertise. Developers, database administrators, systems administrators, even help desk professionals are expected to have some knowledge of cloud computing. IT pros who don’t have cloud experience or skills on their resume might find it difficult to find a new job.

For IT staffers, then, it’s really a carrot-and-stick situation. The possibility of higher pay is the carrot that makes moving into a cloud computing role desirable, and the threat of potential irrelevance is the stick that makes it seem necessary.

However, figuring out how to transition from a traditional IT position to a cloud computing role isn’t always easy. If your day job doesn’t require working with the cloud, how do you go about getting the abilities you need to get a job in cloud computing?

The following slides offer nine tips for obtaining a cloud-related position.

Image: Pixabay

Cynthia Harvey is a freelance writer and editor based in the Detroit area. She has been covering the technology industry for more than fifteen years. View Full BioPreviousNext

Exploring the journey from cloud to AI – with a few big data bumps along the way

The potential of cloud computing and artificial intelligence (AI) is irresistible. Cloud represents the backbone for any data initiative, and then AI technologies can be used to derive key insights for both greater business intelligence and topline revenue. Yet AI is only as good as the data strategy upon which it sits.

At the AI Big Data Expo in Amsterdam today, delegates were able to see that the proof of the pudding was in the eating through NetApp’s cloud and data fabric initiatives, with Dreamworks Animation cited as a key client who was able to transform its operations.

For the cloud and AI melting pot, however, there are other steps which need to be taken. Patrick Slavenburg, a member of the IoT Council, opened the session with an exploration of how edge computing was taking things further. As Moore’s Law finally begins to run out of steam, Slavenburg noted there are up to 70 startups working solely on new microprocessors today. 

Noting how technology history tends to repeat itself, he added today is a heyday for microprocessing architecture for the first time since the 1970s. The key aspect for edge here is being able to perform deep learning at that architectural level, with the algorithms being more lightweight.

Florian Feldhaus, enterprise solutions architect at NetApp, sounded out that data was the key to running AI. According to IDC, by 2020 90% of corporate strategies will explicitly mention data as a critical enterprise asset, and mention analytics as an essential competency. “Wherever you store your data, however you manage it, that’s the really important piece to get the benefits of AI,” he explained.

The industry continues to insist that it is a multi-cloud, hybrid cloud world today. It is simply no longer a choice between Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP), but assessing which workloads fit which cloud. This is also the case in terms of what your company’s data scientists are doing, added Feldhaus. Data scientists need to use data wherever they want, he said – use it in every cloud and move the data around to make it available to them.

“You have to fuel data-driven innovation on the world’s biggest clouds,” said Feldhaus. “There is no way around the cloud.” With AI services available in seconds, this was a key point in terms of getting to market. It is also the key metric for data scientists, he added.

NetApp has been gradually moving away from its storage heritage to focus on its ‘data fabric’ offering – an architecture which offers access to data across multiple endpoints and cloud environments, as well as on-premises. The company announced yesterday an update to its data fabric, with greater integration across Google’s cloud as well as support for Kubernetes.

Feldhaus noted the strategy was based on NetApp ‘wanting to move to the next step’. Dreamworks was one customer looking at this future, with various big data pipelines allied with the need to process data in a short amount of time.

Ultimately, if organisations want to make the most of the AI opportunity – and time is running out for laggards – then they need their data strategy sorted out. Yes, not everything can be moved to the cloud and some legacy applications need a lot of care and attention, but a more streamlined process is possible. Feldhaus said NetApp’s data fabric had four key constituents; discovering the data, activating it, automating, and finally optimising. in hearing industry leaders discuss subjects like this and sharing their experiences and use-cases? Attend the Cyber Security Cloud Expo World Series with upcoming events in Silicon Valley, London and Amsterdam to learn more.

Related Stories
  • » NASCAR moves onto AWS to uncover and analyse its racing archive
  • » How to improve supply chains with machine learning: 10 proven ways
  • » Why the real multi-cloud motivator is choice – rather than lock-in
  • » The six pillars of cloud cost optimisation – and how to get them to work for you
  • » Tipping the scales in the cloud: From security risk to security’s friend

Leave a comment

log in


This will only be used to quickly provide signup information and will not
allow us to post to your account or appear on your timeline.