Operations | Monitoring | ITSM | DevOps | Cloud

Any IT strategist must keep in mind the business goal, so that their technology initiatives are aimed at delivering, rather than services and infrastructure, the added value of reliability and optimal performance that makes them achieve business goals and be more competitive. Read on to understand what KPIs are and how they help us with proper business management.

GenAI is everywhere, and it’s changing how we approach technology. If you’ve ever wanted to dive into the world of large language models (LLMs) but felt intimidated, there’s good news! Hugging Face recently launched a self-paced course that’s perfect for beginners and more experienced enthusiasts alike. It’s hands-on, approachable, and designed to work on standard hardware thanks to the small footprint of the models.

It’s time to stop proclaiming that “cloud native is the future”. Kubernetes has just celebrated its 10 year anniversary, and 76% of respondents to the latest CNCF Annual Survey reported that they have adopted cloud native technologies, like containers, for much or all of their production development and deployment. Cloud native isn’t the future – it’s here and now. Data-intensive workloads are no exception.

Artificial intelligence (AI) is reshaping industries, and software development is no exception. By integrating AI technologies like machine learning, generative AI, and natural language processing, development teams can optimize workflows, enhance code quality, and reduce time-to-market. In this article, we’ll examine AI in software development, including its benefits, challenges, and most recent developments. Let’s get started.

The Software as a Service (SaaS) era is ending—at least, that’s what some online observers have been suggesting of late. In a recent post on X, Sam Lessing, a General Partner (GP) at Slow Ventures, challenged the long-held belief that SaaS is the pinnacle of software business models. Forbes recently took up Lessing's claim in an article entitled The End of the SaaS Era: Rethinking Software's Role in Business. So, are we really witnessing the death of SaaS?

In today’s dynamic IT landscape, software asset management (SAM) is more than just a technical necessity—it’s a business imperative. With organizations relying on a growing number of software solutions, including SaaS platforms and on-premises apps, SAM ensures license compliance, reduces security risks, and aligns software usage with business goals.

Following up on his discussion at IDPCON, Lou Bichard, Product Manager at Gitpod, revisits the topic of the developer inner loop. Lou Bichard|

At Uptime.com, we’re committed to delivering a seamless and efficient experience for our users. We’ve been listening to your feedback and are excited to share some significant updates to our platform. These improvements are designed to enhance usability, streamline workflows, and provide you with the tools you need to monitor and maintain your site’s reliability effectively. Let’s dive into the details!

It is the era of interconnected systems and 24/7 operations. So, it goes without saying that IT needs to support seamless, reliable services. That is where the concept of workload automation (WLA) stemmed from. It was a way for IT to schedule ‘jobs’ that otherwise would rely on a human operator to do. But what exactly is workload automation, and how has it evolved? Organizations today are grappling with increasing complexities in IT infrastructure.

President Theodore Roosevelt once said, “When you play, play hard. When you work, don’t play at all.” And while some people might still subscribe to that idea, the reality is that when you play at work, you often work harder – often without even realizing it. That’s because we’re a gaming society, and gamification is how we make the hard things more enjoyable, like exercising our bodies and brains, eating right, getting enough sleep, and managing our money.