Operations | Monitoring | ITSM | DevOps | Cloud

So, you’ve been tasked with automating one or more of your tedious, time-consuming IT processes… but, what exactly does that mean? And perhaps more importantly, where on earth do you start? IT process automation (ITPA) can cover a broad spectrum of potential use-cases, ranging everywhere from the Service Desk, to the NOC, to Infrastructure, and well beyond.

Ciara Carey reflects on her experience at the KubeCon event in Paris including her top 10 talks and current industry trends.

Traditionally, data centers have been managed using on-premises software – and for many companies, this solution has been sufficient. However, as the data center environment becomes more intricate and dynamic, a new approach to management is required. Cloud-based Data Center Infrastructure Management (DCIM) software has emerged as the next generation of management tools, offering unmatched flexibility, scalability, and cost-effectiveness.

Learn about the benefits, drawbacks, and key use cases for our top 5 API mocking tools: Postman, MockServer, GoMock, MockAPI, and Speedscale.

I spotted this thread on Reddit, discussing the pains of executives dropping into incidents, and the corresponding impact it can have on the incident response process. Being an SRE community, it was a little more of a one-sided account of the situation. So let’s look a little closer, and dive into what it takes to make incidents better for responders and executives alike.

Recently when recording an episode of the FinOps on Azure podcast with Rik Hepworth which will be out soon we discussed a scenario where we have a cost issue because something went wrong with an Azure solution. In this article we will explore that problem and how you can implement some protection for it.

Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).

In the digital age, effective document management is the cornerstone of operational efficiency, especially within platforms like SharePoint. SharePoint serves as a central repository for a myriad of documents—each vital for the day-to-day function of a business. However, without proper management, this repository can quickly turn into an unnavigable maze.

The wins just keep coming! Today we celebrate fresh evidence of the mark we're making in the industry.