Every enterprise has its own library of applications and many of these libraries include a core set of applications that, while older, still play an incredibly important part in the day-to-day operations of your enterprise. However, as enterprises prioritize digital transformation these legacy applications may start lagging behind and integration complexity grows. That’s where application modernization comes in.
Regardless of the industry, all enterprises are looking for strategies to improve their organizations and stay competitive in the market. However, when it comes to technological innovation, there’s one piece in particular that often blocks the way forward: the human element. While computers may still lack the creativity that sets the human mind apart, artificial intelligence (AI) has become an increasingly important part of modern computing, especially when it comes to processing and managing data.
Have you ever felt that something was too good to be true? Something that appeared to solve every problem without sacrificing anything in return? You might think there’s a hidden catch somewhere, but when it comes to HPE GreenLake cloud services with HPE Synergy, it really is that good.
Let’s talk about clusters and clouds. We often associate the word “cluster” with terms such as redundancy, resiliency or workload distribution. IT admins have traditionally turned to clustering bare metal systems such as firewall appliances, web servers, and virtual hosting platforms for years. When we consider the “cloud” we think about characteristics such as limitless scalability, elasticity, and simplicity. Of course, the infrastructure that supports these cloud environments is derived from clustered infrastructures, hidden underneath SaaS and IaaS platforms and are thus inaccessible to customers.
Even as we conquer one technology and discover all the different ways we can bend it to our will, another comes along and the cycle begins anew. For today’s enterprises edge computing represents a great leap forward in data processing.
Today, there is an impetus among IT leaders to build stronger digital foundations, enabling their companies to head off future disruptions and secure long-term business success.
New, cloud-based operating models featuring greater speed, agility, and scalability can support the digital transformation enterprises across industries require. By leveraging cutting edge technologies to improve their use of data-driven insights, high-performing organizations can utilize these findings to drive business forward.
When we look at how IT technology has changed within the enterprise over the past decade, we often point to the proliferation of virtualization and the cloud. That is understandable as these technologies have played significant roles in the digital transformation of the world today. Now that these technologies have become conventional standards within the enterprise today, there is another identifiable technology sector that has emerged in importance and stature – cloud and application monitoring. The growing presence of these solutions is a testament to the fact that enterprises are realizing the substantial benefit of application and performance monitoring across networks of growing complexity.
When it comes to service delivery, there has never been more pressure on IT teams than today. With rapid adoption of digital technology and the prioritization of responsiveness, employees, customers, vendors, and enterprise leaders expect digital needs to be fulfilled faster than IT can often provide.
Dynatrace is a software intelligence platform that utilizes a highly matured AI engine to monitor and optimize the critical facets of the day-to-day operations of your IT enterprise. This includes application performance and development, cloud infrastructure monitoring and digital experience management. Its overall mission is straightforward and simple:
As technology has advanced, enterprises of all sizes and from all industries have been undergoing digital transformation initiatives. However, the need for business continuity and remote access, exacerbated by the pandemic, has resulted in digital transformation programs accelerated or reprioritized as business needs have changed.