Kosli allows regulated organizations to scale their continuous delivery so that they can deploy changes to production at maximum speed without the risk of non-compliance. It does this by recording all of the data you need to get through regulatory events like audits. With Kosli you can record everything that happens in your software delivery process from initial requirement all the way through to deployment to production. Events like builds, tests, scans, code reviews, etc.

In recent years, the pace of IT and network modernization fueled by digital transformation has only continued to accelerate. At the same time, cyber threats have continued to grow more frequent and sophisticated. Given these trends, the move to establish enhanced collaboration between network and security teams, an approach known as NetSecOps, has moved from a nice-to-have to a fundamental imperative.

Imagine this familiar scenario: You're at the helm of an agency responsible for managing a plethora of websites, each as unique as the clients they represent. It's a balancing act of monumental proportions – ensuring every site remains flawlessly operational, all while juggling the diverse demands of your client portfolio. The challenge? Each website demands constant vigilance.

If one story stands out in the tech industry for 2023, it was the coming-out party for generative AI. OpenAI’s ChatGPT artificial intelligence chatbot, which was publicly released late in 2022, seized the industry’s imagination in 2023, becoming the fastest-growing consumer application ever. The technology quickly evolved throughout 2023 with a paid subscription service; an API; iOS and Android versions; an enterprise version; plug-ins; and an AI image generator.

In the world of IT monitoring and IoT systems, it is crucial to alert users promptly and reliably about critical issues. Whether it’s about security and ongoing systems at the workplace, in public facilities, or other places, the way in which alarm notifications are delivered can make the difference between chaos and an organized response in an emergency.

Quickly finding and resolving monitoring anomalies can make all the difference between service issues – and service excellence. But it’s far from easy, whether you’re trying to sift through countless alerts, understand the context behind anomalies, or swiftly pinpoint their root causes. If you’re an ITOps practitioner or enterprise architect looking to fine-tune your anomaly detection and resolution skills, you’ve come to the right place.

In essence, High Performance Computing (HPC) is quite simple. Speed and scale. In practice, the concept is quite complex and hard to achieve. It is not dissimilar to what happens when you go from a regular car to a supercar or a hypercar – the challenges and problems you encounter at 100 km/h are vastly different from those at 300 km/h. A whole new set of constraints emerges.

An LLM hallucination occurs when a large language model (LLM) generates a response that is either factually incorrect, nonsensical, or disconnected from the input prompt. Hallucinations are a byproduct of the probabilistic nature of language models, which generate responses based on patterns learned from vast datasets rather than factual understanding.

Azure Storage Cost Optimization is a crucial aspect for organizations looking to harness the power of Azure storage while keeping expenses in check. This involves implementing strategies to minimize expenses, optimize resource utilization, and select appropriate storage types. It encompasses understanding and leveraging various features to optimize resource utilization, choosing the right storage types, and implementing best practices.

Embarking on a journey through the cloud landscape, Azure Unit Economics is a compass, guiding through the intricacies of financial optimization in the realm of Microsoft Azure. This blog post aims to clarify the complexity of Azure Unit Economics, underscoring its critical role in optimizing resource allocation and ensuring cost-effectiveness within the realm of cloud computing.