Operations | Monitoring | ITSM | DevOps | Cloud

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.

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!

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

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.

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?

We’re thrilled to announce that Logz.io received a Special Mention for Best Use of AI from the 2024 O11ys Awards, a celebration of innovation and excellence in observability. The 2024 O11ys Awards recognized our AI Agent, calling it: This recognition validates our mission to simplify observability with AI, empowering teams to troubleshoot faster, optimize costs, and focus on innovation.

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.

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.

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.

Government contractors are tasked with the monumental responsibility of managing IT operations that are not only vast but critical to their client’s security. From securing sensitive data to ensuring compliance in distributed environments, these challenges demand a powerful and efficient solution. As a trusted choice for endpoint management in the public sector, NinjaOne helps contractors and agencies optimize IT operations, enhance security, and scale quickly.