Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Database monitoring - Do's and Don'ts

Enterprises evolve and transform into data-driven businesses, which take valuable insights from the data collected to grow and develop their business. This means that massive chunks of data are collected every second and companies search for ways to process it faster, secure and more accurately. The more data is processed, the smarter is the organisation and the greater potential for data-driven decisions is available.

Linux Command Cheat Sheet

As we know that many of our users are system administrators, network and software engineers as well as cloud infrastructure leaders who use Linux primarily, we've created a helpful cheat sheet as a reference guide to help you with understanding the most common Linux commands. Feel free to save the sheet below and share it with any team members that you think would appreciate learning some of the most essential commands for Linux.

Serving Files with Puppet - Part 2 - Implications and Performance

The second in a three-part series, where Adrian Parreiras Horta, Support Engineer at Puppet, takes us through the different methods of serving files with Puppet, and how this impacts the performance of the Puppet ecosystem. Part 2 discusses the implications on performance for the methods previously discussed.

Serving Files with Puppet - Part 1 - File Resource Source Attribute

The first in a 3 part series, where Adrian Parreiras Horta, Support Engineer at Puppet, takes us through the different methods of serving files with Puppet, and how this impacts the performance of the Puppet ecosystem. Part 1 discusses the different source attributes of the Puppet File resource.

Accelerate incident investigations with Log Anomaly Detection

Modern DevOps teams that run dynamic, ephemeral environments (e.g., serverless) often struggle to keep up with the ever-increasing volume of logs, making it even more difficult to ensure that engineers can effectively troubleshoot incidents. During an incident, the trial-and-error process of finding and confirming which logs are relevant to your investigation can be time consuming and laborious. This results in employee frustration, degraded performance for customers, and lost revenue.