Operations | Monitoring | ITSM | DevOps | Cloud

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!

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.

Winter has fully set in at Bindplane’s Michigan-based headquarters, but we’re keeping warm with the excitement from this piping-hot announcement and accompanying release. It’s just the thing to ignite the hearts, minds, and typing fingers (?) of our team and observability professionals as we kick off 2025.

Building trust with your users is a cornerstone of business success, and a reliable, high-performing website is a big part of that trust. When your site is accessible whenever users need it, you’re sending a message of reliability and professionalism. With a website uptime monitoring tool, you can ensure your site remains dependable and user-friendly which builds the confidence your users need.