Source code management (SCM) is a core component of DevOps. In addition to storing and sharing source code, SCM tools maintain an ongoing history of changes. Reviewing this history provides numerous insights into your development process, including: How often code changes are submitted, The impact of changes on application performance, Which changes result in errors, bugs, or broken builds.

Following the recent announcement of our partnership with Microsoft, Azure users can now monitor, troubleshoot, and secure their environments with a fully managed Azure-native ELK solution. However, If you want to set up the ELK Stack on Azure on your own this guide will help you get started.

Microsoft Windows Internet Information Services (IIS) log files provide valuable information about the use and state of applications running on the web. However, it’s not always easy to find where those files are to determine important aspects of app usage like when requests for servers were made, by whom, and other user traffic concerns.

Software is eating the world. How we spend time, what we eat, who we meet, how we communicate, where we travel... is defined by the code. Increasingly, software is calling the shots and telling humans what to do. With deep learning, this trend is just going to accelerate. The most powerful companies that used to rule the world with professional, skilled executives are becoming incumbents getting disrupted.

Apache HTTP Server is a free and open-source web server that delivers web content through the internet. It is commonly referred to as Apache and after development, it quickly became the most popular HTTP client on the web. It’s widely thought that Apache gets its name from its development history and process of improvement through applied patches and modules but that was corrected back in 2000.

Today, I’m excited to announce a partnership between Logz.io and Microsoft Azure. With this partnership, Logz.io is now offering Azure customers a fully managed, scalable machine data analytics platform built on ELK and Grafana. What does that mean? Azure customers can now easily deploy, run, and scale ELK without the hassle and pain of maintaining and managing the stack themselves.