In the ever-evolving landscape of network operations, the role of Network Operations Centers (NOCs) has become increasingly complex and demanding. Traditional monitoring and observability tools have been crucial in identifying and alerting teams to potential issues. However, as networks grow in complexity with the advent of IoT, 5G, and other digital advancements, the sheer volume of data and incidents can overwhelm even the most robust monitoring systems.

The rapid rise of generative AI and large language models is revolutionizing industries and transforming how we interact with technology. However, developing and deploying these cutting-edge AI models and applications at scale in the cloud comes with a unique set of operational challenges. In this article, we’ll explore the key pain points teams face when building generative AI and how Kubernetes and FinOps practices can help overcome them.

Automated event payloads come in many shapes and sizes. These infinitely different event structures pose a problem for users who want to send them all to the same place to page on-call staff. Unless that on-call solution supports the schema directly, you’re out of luck. While we’re proud of the number of integrations we support today for event sources into on-call, we also think the best number that we should support is infinity.

If you work with virtual machines or install and configure software on EC2 or leverage dynamic runtimes, chances are you’re also using Ansible. In fact, JFrog has supported installation via Ansible for some time. If they’re not using Red Hat, the way most organizations have managed their Ansible Collections – including Roles – is by storing them in Git repositories.

Gerard van Engelen is a seasoned DevOps engineer who ensures the quality of products by drawing parallels between complex issues and simpler, everyday scenarios. This approach helps in delivering value, ensuring that products are not only built correctly but also offer the right functionalities. Ansible is popular with system administrators and DevOps professionals who use it for automating IT tasks such as configuration management, application deployment, and orchestration.

The role of effective Test Data Management (TDM) is often underestimated in the software development process, yet it is a cornerstone for ensuring quality, compliance, and efficiency throughout the software development life cycle. As Bloor say in their Test Data Management Market Update 2024, “… many enterprises are, to quote one vendor we spoke to, “still in the stone age” when it comes to TDM.

Managing document libraries in SharePoint can become a daunting task, especially when dealing with large amounts of data. Luckily, SmiKar’s SharePoint Storage Explorer (SSE) offers a simple and efficient way to generate comprehensive reports on your document libraries. In this post, we’ll walk you through the process of using SharePoint Storage Explorer to list the sizes of all document libraries, including the file count.

Developing an AWS tagging strategy can feel like wrangling different cooks in the same kitchen. Engineers want to innovate, fix issues, and improve existing code. Finance wants to know if the company is making a healthy return on technology investments. Yet, the cloud is like a menu without the pricing. In their quest for continuous improvement, engineers can innovate without slowing down. And this can consume more computing resources than expected, leading to a surprise AWS bill.