Operations | Monitoring | ITSM | DevOps | Cloud

Recently I came across the Maps module build and maintained by our community. The module displays host objects and annotations on openstreetmap using the JavaScript library leaflet.js. The module reads the coordinates for each host from custom variables and is able to group multiple hosts on the same location. There is already a guide on our blog that describes how you can use the module with human readable locations instead of numeric geolocations.

IT budgeting is the mechanism for future-proofing your IT expenditure. It can help you accurately forecast planned spending and ensure that we have the right equipment at the right time and the right people to ensure that supply and demand are effectively balanced. Its activities take part in the organization's overall IT Financial Management practices, which coordinate all the financial decisions and planning of IT departments.

As today’s businesses increasingly rely on their digital services to drive revenue, the tolerance for software bugs, slow web experiences, crashed apps, and other digital service interruptions is next to zero. Developers and engineers bear the immense burden of quickly resolving production issues before they impact customer experience.

Data management and transfer are essential components of the digital era. Whether you are an IT professional, a developer, or simply someone looking to move large amounts of data to the cloud, the efficiency and reliability of the process are paramount. That’s where AzCopy comes into the picture.

What’s new with the Aiven Platform in Q2 2023? Get the details of what our product and engineering teams released in the second quarter of 2023.

MLOps stands for Machine Learning Operations. MLOps refers to the set of practices and tools that facilitate the end-to-end lifecycle management of machine learning models, from development and training to deployment and monitoring. The primary objective of MLOps tools is to address the unique challenges associated with deploying and managing machine learning models in real-world scenarios.

We want machines in good working order, making products of superior quality. This isn’t news. But what is newsworthy is that routine maintenance can still lead to more downtime than necessary. Not all maintenance programs are created equally. Keeping capital equipment running doesn’t exist inside a vacuum of chance. Outside the fraction of unavoidable catastrophes, there’s much power in the decision-making process.

Large Language Models (LLMs) can give notoriously inconsistent responses when asked the same question multiple times. For example, if you ask for help writing an Elasticsearch query, sometimes the generated query may be wrapped by an API call, even though we didn’t ask for it. This sometimes subtle, other times dramatic variability adds complexity when integrating generative AI into analyst workflows that expect specifically-formatted responses, like queries.

In this article, we will explore Azure Distributed Transaction Performance Monitoring using Serverless360’s new feature called BAM Duration Monitoring. Our primary focus will be effectively monitoring a long-running business process implemented using the dynamic combination of Logic Apps and Data Factory.

Since we launched Finance and Supply Chain Workflows in May, I've had a lot of conversations with ServiceNow customers. They want to know how we're applying the Now Platform to address the challenges their business stakeholders have been facing across the source-to-pay process.