The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Modern customers demand that their applications are as seamless and error-free as possible. However, building such apps is a herculean task in itself. You need to constantly look out for incoming exceptions and warnings in your app in production. Effective error monitoring is key to resolving such issues before they are discovered by your users and cause a disruption in the quality of your services.
Two popular deployment architectures exist in software: the out-of-favor monolithic architecture and the newly popular microservices architecture. Monolithic architectures were quite popular in the past, with almost all companies adopting them. As time went on, the drawbacks of these systems drove companies to rework entire systems to use microservices instead.
A Digital Experience Monitoring (DEM) strategy unlocks the key to understanding how end-users interact with web and desktop applications. If you have landed at this post, perhaps you are looking for a Digital Experience Monitoring solution. Correct? But before that, let's take a step back in understanding why it's critical to invest in a DEM tool. To provide a better technology experience, operation teams need modern tools to monitor and collect remote worker application insights. And because of that, businesses are adapting their digital transformation strategy to grow, survive, and respond to disruptions caused by the pandemic.
The increasing need for mobility has accelerated many organizations’ shift towards wireless networks, commonly known as Wi-Fi networks. The high bit rate and bandwidth offered by wireless networks enable a better networking experience than their wired counterparts. In an ideal network, once you set up your Wi-Fi components, your end users should be able to connect and access your network with ease.
As a language for processing time series data, Flux has an important role in how we understand that data. As we create and process data, we do it for ourselves and others. The concept of time and how we as people interact with time isn’t always simple.
Organizations need tools to manage their infrastructure, which today is expanding beyond the data center to include multiple public clouds. In fact, in a recent survey of hybrid cloud decision makers, we found that the vast majority of respondents (88%) have placed more than one-quarter of their workloads in the public cloud, and 44% indicated that they’re running more than half of their workloads in the public cloud.
When managing distributed environments, we find ourselves challenged with looking for different ways to understand performance better. Telemetry data is critical for solving such a challenge and helping DevOps and IT groups understand these systems’ behavior and performance. To get the most from telemetry data, it has to be captured and analyzed, then tagged to add relevant context, all while being sure to maintain the security and efficiency of user and business data.
