If you have decided to move your infrastructure and workloads to the cloud, you know that there is no one-click shortcut for carrying out the migration process. There are multiple factors and particularities of your infrastructure to consider when planning and subsequently taking the necessary steps for cloud adoption.

I find it amazing how much opportunity and flexibility cloud environments are creating for organizations of all sizes. I’m seeing more and more companies experimenting with open-source software (OSS) relational database systems, which years ago would’ve been too complicated for the customer to set up. With Azure, you can spin up OSS systems like MySQL or PostgreSQL quickly to determine if the engine fits their needs. If it does, you can continue development on it.

Organizations around the globe recognize the importance of digital transformation to respond to the demands of the modern world. Organizations can advance their business by adapting technology, processes and tools. By doing so, they can increase flexibility, efficiency, security and improve customer experiences to boost success and gain competitive advantage. However, digital transformation is not always easy.

If you have arrived at this page but need a quick refresher on what Azure Active Directory is and why it is different to Active Directory that you might have installed on-premises, you might like to first read this quick run-down – What is Azure Active Directory.

To optimize its cloud investments, your organization needs internal stakeholders to act on shared knowledge about its cloud costs and cloud usage. But in practice, it’s difficult for organizations to gain a high degree of clarity about their cloud spending. The factors contributing to cost data are not normally visible to all stakeholders, and it’s often impossible to attribute costs to the teams, services, and applications that incurred them.

Flexera’s State of the Cloud Report 2022 pointed out that significant cloud spending is wasted, a major issue that is getting more critical as cloud costs continue to rise. In the current macroeconomic conditions, companies focus on identifying ways to reduce spending. To effectively do that, we need to understand the pricing model. We can then work towards the challenges of cost monitoring, optimization, and forecasting.

There’s more to running a cloud service provider (CSP) business than simply offering an excellent service. Chances are, in time, you will want to grow and scale. However, for many, this is intimidating. Where do you start? How can you create sustainable profit? Even the most progressive CSPs face challenges; they haven’t just built a high-quality customer base out of thin air.

TechEx North America 2022’s AI & Big Data Expo, America’s leading enterprise technology exhibition, concluded with incredible insights across ML, cloud infrastructure, and big data analytics industries. Showcasing expert panel discussions, live demos and high-level presentations from over 250+ speakers, the convention highlighted five key takeaways — some innovations, yet some gaps in terms of big data progression.

Cloud Service Providers (CSPs) offer an ever-expanding array of instance types, ensuring that for any given workload there exists the perfect hosting option that matches the exact needs of that app or business service. But with this expansion comes an ever-increasing challenge to match the workloads to the offerings – there are many things to consider.