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How AIOps enhances operational efficiency

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.

Monthly Moo | October 2022

Summer has passed and it’s time for fall - cue transitioning leaves, cozy blankets, and all the pumpkin-themed things your heart could ever desire. As we move into the new season, we are excited to announce our fall product releases across Moogsoft Cloud that enable engineers to detect incidents earlier, resolve them faster, and work as a team across the entire lifecycle. Moogsoft’s Fall product updates enable you to: … and so much more! Read on for deeper details.

Review changes before deploying to production - Build. Preview. Deploy.

Whether you have two or two dozen developers working on features for your product, updates can introduce bugs or unwanted changes. Therefore, before merging a feature branch to production, you can review all the changes with our preview deployment feature. It allows you and your team to quickly and easily check that the latest changes work as desired. It also allows you to share feedback and helps prevent “it worked on my machine” scenarios.

Get your time back by getting rid of unused modules with Dropsonde

You’ve probably been using Puppet Forge modules to manage bits in your infrastructure for years. If you’re like most of us, you’ve gradually added more modules and maybe you’ve lost track of exactly what some of them do and on what nodes they’re declared. You may even suspect that you have modules installed that you haven’t actually used in years…. only you’re not quite certain which modules those might be. I am certainly guilty of this!

From Static to Dynamic Environments (Why and How)

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.

What is confidential computing? A high-level explanation for CISOs

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.

VMware Tanzu Application Platform 1.3 Improves Developer Productivity and Simplifies DevSecOps

At VMware Explore 2022, we pre-announced new capabilities in VMware Tanzu Application Platform 1.3. Today, we’re excited to announce general availability of these capabilities to further enhance developer and application operator experiences on any Kubernetes environment, increase supply chain security, and offer additional ecosystem integrations.

Containers vs virtual machines: what is the difference?

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.

Setting better SLOs using Google's Golden Signals

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.

Building confidence with Cortex Discovery Audit

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.