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.
The past two years have seen a drastic shift in the way we work, with many organizations having to quickly make the move from an office-based environment to a hybrid work environment. Now, with hybrid ways of working becoming standard, leaders are focusing on digitally transforming their businesses to adapt to and compete in the new normal. Yet in the rush to adjust, they can forget a foundational and business-critical issue – cyber security.
According to research from ESG’s Cloud-Native Security Maturity e-book, enabling DevSecOps is critical to a successful cloud-native journey.
Over the past two years, we’ve seen a rapid acceleration of cloud adoption across a spectrum of organizations. Typical of most technology movements and trends, organizations were more focused on transforming their business with cloud technologies and less concerned with security.
How do you choose the cloud programming language that best suits your current and future needs? Explore 11 popular options and their use cases.
Cloud computing programming takes many forms. For back-end developers, it might mean the development of a cloud-native app or the continuous delivery of an interconnected set of microservices. For administrators, it might mean the development of a script that automatically provisions cloud-based resources. For web developers, it might mean the development of an Angular or React app that consumes cloud-hosted resources.
Whenever you work on the computer, it is necessary to have your computer with you and after working, you save your file and store it in the hard disk. Now think that you aren’t home and something has to be changed or added to the same file.
How will you do it? Because if you do not have your computer in which that file is, how will it work? There is only one solution, that is cloud computing.