As you increase use of public cloud resources, how do you make sure that you're winding down and consolidating the data center to optimize performance and cost? Data centers are expensive to maintain. It's not uncommon for an organization with three data centers to spend millions annually on these facilities.
Application modernization is a process, not an event. Many cloud-native apps have been developed for the cloud, but there are also legacy applications that need to be migrated to this new environment. It can be challenging to decide what cloud architecture will work best for your organization and how you should go about migrating all your existing data.
We are sharing our most often cited 11 steps towards developing a cloud strategy where organizations can modernize their application and infrastructure operations by moving their applications from on-premises servers to hybrid cloud and public cloud architectures.
Application modernization requires new ways of building and operating infrastructure whether on-premises or in the cloud. Organizations have a choice between application modernization on-premises, application modernization in the public cloud, application modernization in hybrid clouds, or application modernizing with containers. In this blog post we'll explore how to choose the right application modernization approach for your organization based on where you are now and where you want to go!
The world of technology is changing at a rapid pace. To stay competitive in this fast-paced environment, businesses must be able to adjust quickly and efficiently. The traditional on-premises IT model doesn't work with today's modern business needs because it limits the ability for change.
Topics: hybrid cloud
We are proud to share in an announcement here on our extended partnership with the Microsoft Azure team with the addition of support for Azure VMware Service (AVS). Turbonomic and Microsoft have been working together, along with our customers, to address the challenges that are being felt as the shifting workload deployment patterns change as customers make the jump to leveraging cloud-based alternatives to the traditional on-premises private cloud platforms.
Ever felt like building a pipeline to help you with your application deployment process? It's not as difficult as you'd think and we are going to show you just how easy it is! In this blog, we will talk about how to set up a super quick code pipeline and get started with Red Hat OpenShift, so that you can be deploying faster than ever before!
This will be an end-to-end walkthrough of setting up a simple application with code hosted on Github that you can deploy into OpenShift yourself to give you a primer on the ease-of-administration when it comes to getting applications from idea to working prototype without a single SSH or FTP session required.
It's no secret that the cloud has been a disruptive technology, and as it is still an emerging field of computing in relative terms of the age of some services, there are many misconceptions about what multi-cloud infrastructure really means. Whether you're considering going all-in on one provider or spreading your data across providers for higher availability, we'll cover some of the truths and myths behind this exciting new way to build out your IT infrastructure.
How many times do you revisit your IT architecture? One of the things that the public cloud has helped us to do is to revisit not just our architecture, but ways we can infuse some of the new processes into our existing IT platforms.
How many times do you get a call from the help desk about some application being slow or down? More than you would like, I’m sure. The more troubling part is that they call about some business application (or many of them) that are affected and now you have to chase down what the underlying root cause of the issue is.