The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Building successful machine learning (ML) production systems requires a specialized re-interpretation of the traditional DevOps culture and methodologies. MLOps, short for machine learning operations, is a relatively new engineering discipline and a set of practices meant to improve the collaboration and communication between the various roles and teams that together manage the end-to-end lifecycle of machine learning projects.
Globally the impact of AI is increasingly growing year on year in every industry sector. Opening new scopes in construction & architecture sector, the global AImarket is estimated to grow at a CAGR of 29.4% (around) from 2019 to 2026 and is expected to reach around US$ 2.1 Billion by 2026.
In my time as a systems engineer in the insurance industry, I learned a lot about compliance programs and the challenges that organizations face to ensure infrastructure is compliant. Audits were time-consuming and handoffs between security, compliance, and infrastructure operations teams were always challenging.
This series was co-written by Tyler Sullberg and Musa Barighzaai. CircleCI is growing, which is wonderful. However, one of the growth challenges we have is that our backend is primarily written in Clojure, and few developers know Clojure. Many CircleCI engineers, including myself, have learned Clojure on the job. Before joining CircleCI, I was a JavaScript developer. As the lingua franca of software engineers, JavaScript is a relatively straightforward language to learn.
Dual ToR (top of rack) peering provides a redundant path for customers with cluster applications that cannot tolerate service downtime or failure and require a high-availability solution. While Calico ToR connectivity has existed for some time, Calico Enterprise now supports connectivity with dual ToR switches.
