Operations | Monitoring | ITSM | DevOps | Cloud

When Amazon Web Services (AWS) launched its new Arm-based processors, some circles believed it was a game-changer for the public cloud markets. To begin with, it was the first time Arm architecture would roll out for enterprise-grade utility, and at a colossal scale. Arm processors had only run on smaller, less demanding devices such as iPhones. So why adopt it for much more demanding workloads in cloud services?

Managing costs within your Azure datacenter is a crucial aspect of ensuring efficiency and optimizing resources. The Azure portal has Azure Cost Management Reports embedded, offering a detailed lens into your cloud spending. In this article, we’ll explore the ins and outs of these reports, their key metrics, best practices, and how to generate and interpret cost reports.

When dealing with public cloud computing, deciding to reserve or pay-as-you-go for your resources is generally seen as a strategic chess move – it requires foresight, planning, and a clear understanding of your organization’s needs. In this article, we’ll browse through the nuances of this decision-making process, exploring overviews, benefits, limitations, pricing considerations, break-even points, and ultimately, as a desired outcome, reaching a well-informed conclusion.

For full details on the plans and prices, check out our pricing page. Netdata’s vision is to democratize observability and make it accessible to everyone. Whether you are a startup or a multinational corporation, a business user or a home lab user, a non-profit organization or a student - we want you to be empowered with the very best that Netdata can offer.

As the automotive industry continues to advance into the world of high-performance computing (HPC), it becomes increasingly crucial to achieve environmental parity for seamless software integration. In this blog post, we will explore the synergy between Elektrobit and Canonical at the core of ‘EB corbos Linux – built on Ubuntu‘ in the context of automotive computing.