The waves of change are certainly upon us and businesses are being forced to adapt at a record pace. Current world events have caused a jarring shift in all aspects of our lives, accelerating major changes in how we live and work. An unprecedented number of people are now working from home. Those of us working in IT Operations are no exception. Many companies are implementing a Distributed IT Operations Center (D-NOC) approach to address this new reality.

What’s the best IT monitoring software of 2020? It’s an interesting question. IT monitoring could mean a whole lot of things to a whole lot of different organizations. To some teams, a robust application performance monitoring (APM) solution might be more important than their network performance monitoring (NPM) tools.

A PHP application might produce many different levels of earning and errors during its execution. Being able to see these errors is essential for developers trying to troubleshoot a misbehaving application. However, developers often have trouble when trying to display errors from their PHP applications. Instead, their apps just fail silently. If you are having problems with your PHP web application and need to display all the errors and warnings, you are in the right place.

Modern systems have resulted in an explosion of complexity for organizations of every size, shape, and purpose. In an effort to create more resilient and reliable software, we’ve cast around for solutions to tame and manage this complexity. Observability practices have come to be seen as essential for operating systems at scale, but in practice, they’re often seen as technical solutions to what is ultimately a social problem: Software, at the end of the day, is built and run by people.

In this article: Infrastructure monitoring systems have been undergoing massive change in the past few years. Before the proliferation of cloud computing, IoT and edge computing, mobile apps and SaaS apps, the practice was fairly static, albeit traditionally quite siloed. IT managers needed to get data on a set of standard metrics, from a handful of tools.

In part one, we introduced the duality of observability, controllability. As a reminder, observability is the ability to infer the internal state of a "machine” from externally exposed signals. Controllability is the ability to control input to direct the internal state to the desired outcome. So observability is a loop problem. And we need to stop treating it as the end state of our challenge in delivering performant, quality experiences to our users and customers.