Operations | Monitoring | ITSM | DevOps | Cloud

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.

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?

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?

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.

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?

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.