Is Cloud Data Safer Than On-Site?

Is Cloud Data Safter Than On-Site?The use of cloud computing, SaaS services, and remote working has meant that rather than data being stored on a single on-site server accessed only from a networked computer, it can be accessed from anywhere in the world. This has meant that employees can now work from anywhere they want without missing any data or information that may be stored in a specific server. It has essentially been one of the most important elements in the globalization of business.

However, with this power also comes significant debate around data security.

There are some strong arguments it is safer both in the ‘on-site’ camp and in the cloud, but which is ultimately the safest?


This article originally appeared in The Innovation Enterprise .  To read the full article, click here.

2016 Big Data, Advanced Analytics & Cloud Developer Update: 5.4M Developers Now Building Cloud Apps

2016 Big Data, Advanced Analytics & Cloud Developer Update: 5.4M Developers Now Building Cloud AppsKey takeaways from the study include the following:

  • 6M developers (29% of all developers globally) are involved in a Big Data and Advanced Analytics project today. An additional 25% of developers, or 5.3M, are going to begin Big Data and Advanced Analytics projects within the next six 13% or 2.6M of all developers globally are going to start Big Data and Advanced Analytics projects within the next 7 to 12 months.  The following graphic provides an overview of the involvement of 21M developers in Big Data and Advanced Analytics projects today.
  • 4M developers (26% of all developers globally) are using the cloud as a development environment today. Developers creating new apps in the cloud had increased 375% since Evans began measuring developer participation in mobile development in 2009 when just slightly more than 1.2M developers were using the cloud as their development platform. 4.5M developers (21% of all global developers) plan on beginning app development on cloud platforms in the next six months, and 3.9M (18% of all global developers) plan on starting development on the cloud in 7 – 12 months.

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The Morning Download: Large Enterprise Cloud Adoption Set to Accelerate, McKinsey CIO Study Finds

The Morning Download: Large Enterprise Cloud Adoption Set to Accelerate, McKinsey CIO Study FindsThe shift to cloud computing is about to begin a significant acceleration, with the biggest gains coming from large enterprises that have until now been slower to change, research from management consulting group McKinsey & Co. shows. “In the next three years, enterprises will make a fundamental shift from building IT to consuming IT,” a new report from McKinsey’s Silicon Valley group has found.

The survey determined that 77% of companies in 2015 used traditionally built IT infrastructure as the primary environment for at least one workload, and that the percentage of such deployments will drop to 43% in 2018. While only about 25% of companies in 2015 used public infrastructure as a service as the primary environment for at least one workload, that percentage is expected to rise to 37% in 2018.

Companies told McKinsey that the shift to the cloud primarily was driven by the need for improved time to market and higher quality, but that security was a key factor, too.

The IT as a Service Cloud Survey included about 800 CIOs and IT executives worldwide across a variety of industries, according to McKinsey. The results of the cloud survey, which asked respondents about IT workloads, suggest that companies are adopting digital technology into their business model and operations at a greater rate. The finding also suggest that IT vendors will feel the effects of the change as purchasing patterns change, McKinsey said.


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If utilities moved to the cloud, would they use more renewables?

If utilities moved to the cloud, would they use more renewables?The cloud has been a game changer for various industries looking to embrace digitization. In the context of energy, it has the potential to significantly increase the ways in which clean and renewable energy resources can be made viable.

Yet many power utilities are lagging behind their industrial counterparts in embracing the cloud and cloud-based services. What’s holding them back?

Archaic regulatory structures and an institutional distrust of moving data over the internet are a couple of major inhibitors. In the past, the IT needs of utilities didn’t necessitate extensive infrastructure or staff such that the utility couldn’t afford to install and run everything in-house.

But industry-wide changes stemming from the global energy transition require a more robust and agile IT infrastructure — and for many utilities, this won’t be economically feasible without the cloud.

That global transition in energy can be characterized by two major trends:

  1. The growing demand for cleaner forms of energy such as renewables, distributed generation and energy efficiency; and
  2.  A changing set of customer expectations where customers require the same digital services from their power utility as they do from their cellular provider.

The cloud will help utilities create value in terms of operationally facilitating the increased use of renewables and clean energy. It also will support a better experience for customers by helping them to meaningfully reduce their energy use. In some cases, it even can improve energy efficiency for the utility.

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The cloud computing effect: Better security for all

The cloud computing effect: Better security for allCloud computing offers lots of benefits, but improved security is not one that makes many IT lists. In fact, many — perhaps even most — IT pros still believe that cloud computing means a huge step backward in terms of security risk.

That doesn’t seem to be the case. About 10 percent of our workloads now run on public clouds, and so far, so good.

Why? Ironically, partly because IT has been so paranoid about public clouds that it spent time and money to implement advanced security approaches such as identity and access management and to be more proactive about security measures.

Moreover, public cloud providers themselves understand the importance of security. If they get one cross-tenant hack, they are done for. Thus, providers consistently and proactively update security systems. Most enterprises would like to do the same, but they don’t have the time or the budget, which leaves them comparatively more vulnerable.

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Why Switch To The Cloud? 20 Benefits of Cloud Computing

Why Switch To The Cloud? 20 Benefits of Cloud ComputingIn their 2016 State of the Cloud Survey, Right Scale notes that Cloud adoption is up to nearly 95%. Why has using it become such as normal part of all of our lives? The simple response is that it’s better than the alternative. Technology progresses over time and society begins to adopt it. But the cloud in particular has so many benefits over local storage that it seems worthwhile to list them out.
1. Cheap  2. Collaborative  3. Up-To-Date  4. Mobile  5. Reliable  6. Scalable
7. Consistant  8. Eco-Friendly  9. Streamlined 10. Light  11. Supportive
12. Modern  13. Integratable  14. Secure  15. Commitment-free
16. Analytical  17. Immediate  18. Fast  19. Accountable  20. Intuitive

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To Move Fast on Cloud Computing, Go Slow

To Move Fast on Cloud Computing, Go Slow

The mad rush to adopt cloud technology is no secret. In fact, the tsunami of organizations that are racing to implement these solutions clearly reflects the need to have the best new “it” in IT. As TJ McCue wrote, “Instead of a slow-moving, fluffy white cloud image, the cloud computing industry should use a tornado – that might be a better way to visualize how fast cloud computing is growing today.” In fact, the global market for cloud-computing equipment is predicted to reach almost $80 billion by 2018.

The exceptional benefits and transformative power of the cloud are clear – efficiency, productivity, scalability, storage capacity, and better use of analytics, just to name a few. But, as with all revolutionary solutions, the urgency among market leaders to introduce greater agility into their organizations, to “be fast and be first,” can lead to real buyer’s remorse over designing and deploying precisely the wrong set of cloud solutions for their organizations.


Read the source article at Data Informed
Original Author: Jim Cole

Scaling Collaboration in DevOps

Scaling Collaboration in DevOps

Those familiar with DevOps generally agree that it is equally as much about culture as it is about technology. There are certainly tools and practices involved in the effective implementation of DevOps, but the foundation of DevOps success is how well teams and individuals collaborate across the enterprise to get things done more rapidly, efficiently and effectively.

Most DevOps platforms and tools are designed with scalability in mind. DevOps environments often run in the cloud and tend to be volatile. It’s important for the software that supports DevOps to be able to scale in real time to address spikes and lulls in demand. The same thing is true for the human element as well, but scaling collaboration is a whole different story.

Collaboration across the enterprise is critical for DevOps success. Great code and development needs to make it over the finish line to production to benefit customers. The challenge organizations face is how to do that seamlessly and with as much speed and automation as possible without sacrificing quality or performance. How can businesses streamline code development and deployment, while maintaining visibility, governance and compliance?

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Original Author: Tony Bradley

Big data analytics – what it is and why you should care

Big data analytics – what it is and why you should care

Analysis: Big data analytics can be vital to providing your business with a key differentiator.

The technology sector has become renowned for its buzzwords, whether it is IoT, Cloud, big data or convergence. What these buzzwords don’t do is explain what exactly it is they are.

An area such as big data analytics is so vast that the buzzword merely over simplifies the area and aids in increasing complexity.

Essentially big data analytics is the process of analysing data sets in order to uncover hidden patterns, correlations, market trends and various other useful pieces of business information.

The term big data is typically applied to data sets whose size or type is beyond the ability of traditional databases to capture, manage, and process the data with low-latency. Big data can come from a variety of different sources such as from sensors, devices, video, networks, log files, transactional applications and from web and social media.

Read the source article at Technology