Open source is one of the key drivers of DevOps. The need for flexibility, speed, and cost-efficiency, is pushing organizations to embrace an open source-first approach when designing and implementing the DevOps lifecycle. Monitoring — the process of gathering telemetry data on the operation of an IT environment to gauge performance and troubleshoot issues — is a perfect example of how open source acts as both a driver and enabler of DevOps methodologies.
The other day whilst using a very popular website I came across a series of 404 unavailable page messages. I didn’t think much about it at the time but on reflection it made me wonder how many people actually understand what different error codes mean? Hands up, I only know a few and I work in the website monitoring sector. To most, it just means a weird IT message when things go wrong.
Since graduating within CNCF last August, Prometheus has adopted a new schedule for releases every six weeks. The latest release, v2.11, arrived on July 9. Prometheus 2.11 includes a new option to compress WAL records using Snappy, query performance improvements, the option to use Alertmanager API v2, and more. You can download the latest version here. prometheus_tsdb_wal_reader_corruption_errors is now renamed to prometheus_tsdb_wal_reader_corruption_errors_total.
Python list comprehensions offer a concise method of interacting with each element of a list. Even though they’ve been available since Python 2.0, their syntax often demotivates people from using them. This article aims to introduce List Comprehensions in a friendly way and offer you one more Python feature to add to your scripting toolbox.
