Logging has been around since programming began. We use logs to debug issues and understand how software works at the code level. After logging and debuggers, profilers are a dev’s best friend when writing code and may run in production with limits to reduce overhead. As we distributed architectures — making systems more complex — centralized log aggregation was soon necessary. At that point, we had to analyze this data. Hence, log analytics technologies were born.

We’ve seen quite a bit of change this year as businesses have had to pivot to accelerating their digital transformation strategy, and placing even more emphasis on leveraging technology as a competitive differentiator. Most have continued to stress the importance of maintaining excellent customer relationships through their contact centers, but the playing field has changed as they now have to tap into data for insights that may have normally been gleaned through an analog approach.

This article describes an end-to-end solution built with open source components InfluxDB and Grafana and the ogamma Visual Logger for OPC, to collect industrial process control data, analyze it in streaming mode, and visualize it in a dashboard.

Project owners and developers turn to open source APM tools to lessen the cost of application performance monitoring. In this entry, let’s examine the attributes of these open source tools. Years ago, traditional APM solutions were designed for IT only, particularly network operations. The APMs were used to monitor data to ensure the network’s Quality of Service(QoS). However, the landscape has changed.

The advancement of technology has brought with it the increased adoption of complex IT systems. Every company operates and maintains a gigantic amount of data that is essential to run their business. The server capacity required to handle this amount of data is huge, and the centralized servers are almost kept off-site in remote locations. Server virtualization technologies have also gained popularity since it helps to address data storage limitations and data security concerns.

Many organizations aspire to become true, high-functioning DevOps shops, but it can be hard to know where you stand. According to DevOps Research and Assessment, or DORA, you can prioritize just four metrics to measure the effectiveness of your DevOps organization—two to measure speed, and two to measure stability.

The latest Nexthink release has rolled out, and we couldn’t be more excited to help you go broader and deeper to solve even more digital experience challenges. What exactly do we mean? End-user computing involves an enormous array of technologies that interact to deliver services to employees—from devices and the operating systems that run on them, to virtual desktops, applications (local and SaaS), and the networks that enable these services.