We are always trying to lower the barrier to entry when it comes to monitoring and observability and one place we have consistently witnessed some pain from users is around adopting and approaching configuration management tools and practices as your infrastructure grows and becomes more complex. To that end, we have begun recently publishing our own little example ansible project used to maintain and manage the servers used in our public Machine Learning Demo room.

Azure Virtual Machines (VMs) represent the power of cloud computing, making the infrastructure of the digital age accessible to every business. With Azure VMs, Microsoft has democratized access to virtualized environments, allowing businesses to focus on building their applications without worrying about the underlying hardware. Azure VMs are a part of Microsoft’s Azure platform, one of the most comprehensive cloud platforms on the market.

GitLab is a collaborative Git repository that fosters open-source development by offering both free open and private repositories. With its extensive features such as issue tracking and wikis, GitLab empowers teams to collaborate effectively and create exceptional software solutions. GitHub and Bitbucket are similar tools. CircleCI has launched support for Gitlab, so it is helpful to learn to use it. In this tutorial, I’ll show you how to push a project to GitLab.

This article explores the rise of micro apps and microservices, driving faster and lighter software experiences. It discusses monitoring challenges in distributed systems and provides an introduction to monitoring Kubernetes. Learn about the basics, benefits, and differences of micro apps and microservices, along with insights into effective monitoring strategies. Discover MetricFire's monitoring solutions through a free trial.

If anything’s going to decide what the future of IT automation holds, it’ll be artificial intelligence (AI) and generative AI. And if this past half-year hype has proven anything, it’s that we could see some serious, game-changing surprises. Did anyone see generative AI including tools like ChatGPT coming?

If you’re still unpacking the latest terminology from Gartner’s 2023 AIOps market update, you aren’t alone. Subject matter experts from Moogsoft recently joined thought leaders from TIAA and Windward Consulting for a debrief on the panel interview Accelerating Your AIOps Journey Webinar. Almost half of technology leaders looking to improve productivity and fuel greater collaboration are struggling to explain AIOps use cases, benefits, and value to other business leaders.

Effective CloudOps teams can control costs, improve security, optimize resources, and provide superior services across their cloud environments. These teams can also leverage FinOps, the cross-functional cloud financial management discipline and cultural practice that promotes visibility and collaboration to help organizations manage, optimize, and predict their cloud spend.

Note: This post is co-authored by Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack. AI/ML is moving beyond the experimentation phase. This involves a shift in the way of operating because productising AI involves many sophisticated processes. Machine learning operations (MLOps) is a new practice that ensures ML workflow automation in a scalable and efficient manner. But how do you make MLOps observable?

In the constantly evolving world of software development and IT management, choosing the right operating system for your enterprise developers is a strategic choice. Ubuntu vs macOS, which is right for you? Our latest whitepaper helps you answer this question and make an informed decision. This blog post provides a sneak peek into our findings covering both the developer landscape, and the key considerations for IT administrators. Considering macOS or Linux for your organisation?

If you’ve been anywhere in the DevOpsphere in recent times, you have certainly encountered the Platform Engineering vs. DevOps vs. SRE debates that are all the rage. Is DevOps truly dead?! Is Platform Engineering all I need?! Have I been doing it wrong all along? These have become more popular than the mono vs. multi-repo flame wars from a few years back.