Picture this scenario: Your user is accessing a critical service online, and suddenly, they view an unresponsive webpage. The anxious user contacts the support desk multiple times via phone, email, and chat and gets frustrated when they do not receive clear communication. In such dire situations, organizations often fail to communicate with users about what is happening.

With the increasing reliance on the internet for information and services, customers expect websites to be fast, reliable, and easy to navigate. In today’s digital age, a company’s website serves as its virtual storefront, and is often the first point of contact for potential customers. Any downtime or slow loading times can lead to frustration and a negative perception of the company.

Just as an atom is the building block of all matter, a network packet is a basic unit of data transmitted over a network. But to visualize how atoms makeup a piece of metal, scientists need an electron microscope. Likewise, to visualize, observe, and, most importantly, understand the behavior of network packets in a network, a specialized tool is needed: a network path analysis tool. This tool can visually trace the path taken by network traffic from source to destination.

According to a report on the network traffic analysis market, the market is expected to grow significantly, reaching $6,540.61 million by 2028. This growth is projected at a CAGR of 9.38% from 2022 to 2028. Understanding these trends is vital for IT and other organizations that depend on analyzing their network traffic for improved network management and performance.

In the dynamic world of IT infrastructure, maintaining the efficiency and performance of enterprise servers is a top priority for IT teams. Ensuring that servers are optimally allocated with resources is crucial for avoiding performance bottlenecks and making cost-effective decisions. Efficient resource allocation plays a vital role in achieving this goal.

Business continuity is a vital aspect of modern business operations. It is the ability to maintain essential business functions during and after unexpected disruptions or disasters. Downtime, in the context of business continuity, refers to periods when critical systems are unavailable. When such a catastrophe happens, the repercussions can be significant. For one, it can be costly—every moment of system unavailability can result in financial losses.

Organizations worldwide use Active Directory (AD) to manage users, devices and data. The world moves at a fast pace, and it demands that tasks be performed as quickly and efficiently as possible. How many times have you had to create a user account in AD manually? Change passwords? Update group memberships? You could add so many other repetitive AD administrative tasks to this list.

In the age of digital acceleration, application performance monitoring (APM) acts as a sentinel, empowering organizations to maintain, analyze, and optimize the health of their digital ecosystems. However, as organizations navigate the intricacies of distributed architectures, hybrid cloud deployments, and dynamic workloads, they confront a complex terrain marked by data proliferation, siloed environments, and a scarcity of skilled personnel.

Data centers have been transformed with the evolution of new challenges and technologies from strictly on-premises environments to remote locations. Though this provides a lot of advantages, this development comes with its own challenges. Managing this cluster of devices requires precision planning, and modern hybrid architectures don’t end with mere devices.

In today’s digital era, where applications are the lifeline of many businesses, the importance of monitoring and observing their performance is undeniable. It’s not just about keeping systems up; it’s about understanding how applications behave and ensuring they meet the ever-growing expectations of users. Let’s take a look at six best practices in application performance monitoring that organizations can implement to set themselves up for success.