Operations | Monitoring | ITSM | DevOps | Cloud

When managing cloud workloads, FinOps best practices offer the best way of starting the process adoption. FinOps, short for Financial Operations, is a fusion of financial discipline and operational efficiency: as companies increasingly rely on public cloud services, adopting Azure FinOps becomes imperative for maintaining financial transparency and control and optimizing resource utilization while fostering cross-functional collaboration.

Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications.

Monitoring your IoT devices provides insights into their usage patterns, environmental conditions, and user behaviors. This information can be leveraged to optimize device performance, improve user experiences, and develop better-targeted services or products. By analyzing patterns and trends in device data, it's possible to implement predictive maintenance strategies, scheduling repairs or replacements before a device completely fails, which will reduce downtime and maintenance costs.

Monitoring your machine's internal temperatures is important for maintaining system health, optimizing performance, and ensuring the longevity of your computer hardware. It allows you to take proactive measures to prevent potential damage caused by overheating and helps in diagnosing and addressing cooling-related issues effectively. In this article we'll detail how to use the Telegraf agent to collect temperature readings from a Mac computer, that you can forward to a datasource.

As the demand for AI-based solutions continues to rise, there’s a growing need to build machine learning pipelines quickly without sacrificing quality or reliability. However, since data scientists, software engineers, and operations engineers use specialized tools specific to their fields, synchronizing their workflows to create optimized ML pipelines is challenging.