The latest News and Information on DevOps, CI/CD, Automation and related technologies.
We’re almost there, 2021 is just around the corner. Like many others, we at Canonical have a deep appreciation for all things Raspberry Pi. We see the good they do and the joy they bring and can’t help but be impressed. This year marks the beginning of a stronger collaboration between the folks at Raspberry Pi and us at Canonical. We are by no means done and still have a long way to go. But we have made strides in the right direction.
By industrializing software delivery, DevOps has the potential to transform IT in the same way that Henry Ford transformed manufacturing Back in 1913, Henry Ford started a manufacturing revolution. On December 1, the first automotive assembly line heralded the advent of mass production and reduced the time required to build a Model T to only 2 ½ hours. That allowed Ford to slash manufacturing costs as well as the price of his iconic automobile.
Are you or your team currently looking for your next-generation architecture? Or perhaps are you already there, but looking for the best way to automate and manage it. In this blog, we’re going to talk about deploying Rancher environments using the power of env0. Rancher is a complete software stack for teams adopting containers.
We recently surveyed 700 DevOps and IT practitioners around the world and found that more than 80% of organizations have experienced a significant increase in pressure on digital services since the start of the pandemic. Compared to 6 months ago, respondents reported a 47% increase in the number of daily incidents, and 62% of DevOps and IT responders work at least an extra 10 hours per week resolving incidents.
There’s an AI-led developer and operations (DevOps) evolution afoot which is stoking SREs’ increasingly critical efforts to assure and improve the customer experience by automating the toil out of observability. This movement feeds on a supercharged process of turning telemetry into actionable insight by automatically drawing anomalies, changes and events out of the full-stack event and telemetry data, and analyzing it for correlation and causality.
