With some organizations looking to move cloud workloads back on-premises to mitigate costs and regain control over their hardware and audit trails, you might be questioning cloud-first and cloud-only initiatives for infrastructure procurement.
After all, for years marketing pushed lower overall costs after migrating to the cloud. So what gives? Why are many cloud workloads ending up more expensive than their on-prem counterparts?
You've probably heard the old joke before that the cloud is “just someone else's data center.” That may have been true a decade ago, but no longer.
Forcing a cloud migration is not the key to savings. You must understand the business value, catalog and think deeply about the existing and desired state of your infrastructure, rearchitect your workloads, and adjust your workflow to this new paradigm. Here are the five key areas you need to plan things out.
As you continue to adopt cloud technologies and pursue digital transformation, you’ll overhaul databases, migrate data to the cloud, and continue to connect more and more information gathering tools to your digital environment.
With unstructured data pooling rapidly in cloud object storage and structured data overwhelming your databases, you’ll wisely implement data management protocols that include long term archiving, encryption and security measures for sensitive data, and strategic use of various cloud and on premises storage methods to minimize costs.
But are you taking advantage of that data beyond how it used in the applications that gather and handle it? There are business insights to be gleaned and platforms like Power BI can help you make sense of it. If you don’t have time to learn a new platform or budget to hire a full time data analytics staff, you can instead find an Insights as a Service provider to help.
Serverless functions (often referred to as Functions as a Service or FaaS) will no doubt continue to grow in popularity and remain a cornerstone of IT services for many years to come. However, they are simply another way of building, maintaining, and delivering IT systems. With that in mind, they naturally have disadvantages or situations in which they may not be the preferred technology to use. These are due both to the nature of serverless and how it is currently implemented by cloud service providers.
Digital transformation may be a bit of a catch all for adopting modern IT principles and technologies, from cloud platforms and services to mobility and big data to DevOps practices, but it is a real movement throughout the business realm.
The primary gist is to not only introduce new tech, but to also take a close look at the business processes and organizational units behind them to ensure that innovation can occur, and the bottom line is improved. In other words, technology for the sake of technology won’t solve any business problems. You must transform your entire organization with a combination of technology and process.
True digital transformation involves your entire organization and results in the integration of various systems and operations across the business. If that sounds like a major undertaking, it is.
It also comes with a slew of information security concerns that should not be overlooked in the rush to the cloud.
Microsoft Azure offers native serverless computing features. Two of the most crucial to master are Azure Functions and Azure Logic Apps. Each of them help enable business logic that automates your Azure workflow, but they have key differences and in fact can be used together in a complementary manner to offer flexible, powerful control over your cloud resources.
Let’s take a closer look at how each of these serverless automation platforms work within Azure and some use cases for them.