Companies are spending less on cloud computing, the ultimate sign of belt tightening.
It’s been a big decade for cloud adoption.
In 2021, a survey found that 90% of businesses use cloud computing.
This year, the total percentage of corporate data living in the cloud jumped to 60%, up from 30% in 2015.
Three of tech’s biggest players — Amazon, Microsoft, and Google — have been beneficiaries of this trend, riding the cloud wave to record valuations last year.
Cloud is quickly becoming the corporate norm, and is being used by companies to drive dramatic improvements beyond cost and scalability, including increased innovation, faster time to market and insights, and enhanced cybersecurity.
This is according to a global cloud services study recently completed by The Hackett Group.
As you develop your organization’s cloud strategy, consider our experts’ insight on the advantages of the hybrid cloud.
Remember when mobile phone service providers owned your mobile phone number? If you wanted to switch to another provider, you had to change your number and make sure all of your contacts got the new one (assuming you were brave enough to deal with the headache).
Spectro Cloud, the Bay Area-based modern infrastructure startup, announced a new platform that promises simplified onboarding and management of edge computing devices running Kubernetes.
In March, I covered Spectro Cloud’s Palette Edge – a platform to extend the power of managed Kubernetes to the edge. Last week’s announcement enhanced Palette Edge through a new workflow to onboard edge devices, an open source OS optimized for the edge, and a NOC-style portal to visualize and manage edge clusters running Kubernetes.
Is your development team expanding its cloud-native app strategy? Fintech experts weigh in on how to clear common obstacles.
If your teams have begun developing cloud-native applications, how can you avoid common challenges when expanding your development strategy?
Setting clear goals – with milestones along the way – is essential to a successful cloud-native development journey. We interviewed former bankers, now Red Hat employees, for their insights on how to sidestep common roadblocks.
Few companies pick their cloud providers using environmental sustainability as criteria. But that’s about to change.
Environmental sustainability is becoming a top business priority, with a recent Gartner survey indicating that sustainability ranked among CEOs’ top 10 priorities for 2022.
Organizations determined to reduce their environmental impact must focus on the sustainability of their IT initiatives, including their cloud and edge infrastructure.
The matter of data sovereignty is one that both enterprises and cloud providers wrestle with today as cloud services have gone mainstream. Let’s explore how organizations can address data sovereignty issues in the cloud.
In our post-Covid world, IT departments are allotting significant resources to the management of endpoint device data. With data stored in the cloud – and an explosion of endpoint devices acting as extensions – many companies have shifted towards moving the primary home of their data from the endpoint devices to a cloud. As a result, data sovereignty becomes an issue and brings with it a unique set of challenges with enterprise data residing in multiple locations. This article by Tim DaRosa, CMO, Zadara takes a look at the strategies businesses can take to ensure they are adhering to data sovereignty rules.
We look at cloud bursting, which allows organisations to meet demand by bursting compute and storage to the cloud.
One of the key benefits of the cloud is its flexible, or “elastic”, nature.
Organisations can increase compute resources and storage capacity when they need it with little more than a web browser and a credit card. And, if needs change, they can reduce capacity – and cost – almost as easily.
This, however, does require applications and workflows to operate natively on public cloud infrastructure. And some organisations are either not ready to move all their systems to the cloud – or, for regulatory, security or operational reasons, are unable to.
You’ve finally moved to the Cloud. Congratulations! But now that your data is in the Cloud, can you trust it? With more and more applications moving to the cloud, the quality of information is becoming a growing concern. Erroneous data can cause many business problems, including decreased efficiency, lost revenue and even compliance issues. This blog post will discuss the causes of poor data quality and what companies can do to improve it.
In the automotive industry, there has been a lot of discussion around how to bring the power of in-depth data processing and machine learning to the vehicle edge. In doing so, manufacturers would not only save on data transfer costs but also enable the vehicle’s autonomous driver assist system (ADAS) to respond and adapt in real time. The fact of the matter is transitioning completely to the edge is not feasible from both a cost and a practicality standpoint. Not yet, at least.
The sky is the limit with cloud computing and virtualization!
Cloud computing and virtualization give you abstract infrastructure solutions that don’t sit directly on hardware. This means they’re easy to scale, backup, or move to different hardware according to your business’s needs. Both allow you to maximize your on-premise resources and extend your operational capabilities.
In this article, I’ll look at what cloud computing and virtualization are, what they can do for you, and show you how they differ. First, let’s look at what cloud computing is and why so many companies are moving towards it.
To manage and monitor hybrid cloud database environments, consider business and application goals plus costs, latency, security, stability, simplicity, tools and technical skills.
Hybrid cloud architectures play a vital role in helping enterprises migrate safely to the cloud and provide a way to meet data governance and risk management requirements for data that must stay on premises. But moving applications and the databases that support them to even a hybrid cloud requires considerable planning and testing, plus ongoing management and monitoring.
The number of products, services, technique and technologies associated with data centres is skyrocketing
But when navigating this fast-moving landscape, it can be easy to get lost in the jargon – whether it’s obscure acronyms, vendor-specific words or convoluted analogies. Rather than making cloud more accessible, these often have the opposite effect, making new trends and developments unnecessarily difficult to understand.
Article by Nutanix Australia and New Zealand managing director Jim Steed.
Gartner predicts the global spend on cloud services – IaaS, PaaS, SaaS, and anything else as a service you can think of – will hit almost half a trillion dollars this year! For many years, “cloud” has been thought of as merely a destination. Somewhere an organisation ‘goes’ and, by doing so, magically transforms its business once it’s arrived.
This “destination” mentality has led to a misguided strategy that sees an enterprise trying to shift all its applications to a single cloud provider – regardless of the specific needs and nuances of each individual workload. But just as every business is uniquely structured, with its own unique objectives, the same is true of every application, every workload, and every dataset within each business.
A few decades ago, tech innovations like artificial intelligence, cloud computing, and machine learning were more fiction than reality. Today, that tech is a reality, and it’s disrupting the way we do business. Therefore, any company looking to stay relevant in a highly competitive marketplace must undergo a digital transformation, revamping existing practices to incorporate the new tech.