Operations | Monitoring | ITSM | DevOps | Cloud

We have seen a rapid increase in the development pace of product development in the last few years. As a company, you never stop improving your processes. Successful organizations find different ways to optimize the release process to accelerate their product development cycles. Growing companies, especially those with complex products with many integrations, often struggle to keep pace with the growing complexity of processes.

Privacy enhancing technologies and confidential computing are two of my favorite topics to talk about! So much so that I am writing this blog post on a sunny Saturday afternoon. But wait, what’s that I hear you murmuring? “What is confidential computing? And how does it affect me?” Those are two very good questions.

In computing, virtualization is the creation of a virtual — as opposed to a physical — version of computer hardware platforms, storage devices, and network resources. Virtualization creates virtual resources from physical resources, like hard drives, central processing units (CPUs), and graphic processing units (GPUs). By virtualizing resources, you can combine a network of resources into what appears to users as one object.

To many engineers, the idea that you can accurately and comprehensively track your application's user experience using just a few simple metrics might sound far-fetched. Believe it or not, there are four metrics that aim to do just that. They're called the four Golden Signals and should be a core part of your observability and reliability practices.

A microservices catalog is only useful if you are confident that anything stored in it is fully accurate and that the information will not become outdated. How can you be certain that your catalog stays up-to-date in the future? Should you look for an asset in the catalog and, despite finding it there, also double-check GitHub? The service catalog is supposed to be your single source of truth. The purpose is defeated if you have to look for what you need in multiple different places.

Ubuntu KVM — an industry-leading hypervisor — extends its reach to AI/ML applications and graphics-intensive applications with native support for NVIDIA virtual GPU (vGPU) software products, including NVIDIA Virtual Compute Server (vCS) and NVIDIA RTX Virtual Workstation (vWS). Canonical has been working closely with NVIDIA to ensure frictionless integration and a best-in-class user experience.

In this blog post, I will show you how easy it is to move a single Azure Blob or even select mutlipe or the complete container and move those blobs from any storage tiering to another with just a few clicks. There are cost benefits moving your Azure Blobs down to a lower Storage Tier, Hot being the most expensive, with a cool a little bit cheaper, and the Archive Blob Tier having the lowest cost option. For most Azure Storage Cost saving ideas, we cover some in another blog.

Digital data is everywhere, and its sheer volume and ambiguity often make it challenging for us humans to analyze. That’s why we use a special branch of AI called artificial intelligence for IT operations (AIOps) to reveal the deeper structure of copious data. AIOps sits at the intersection of big data and machine learning to improve the efficiency of IT operations.