Operations | Monitoring | ITSM | DevOps | Cloud

InfluxDB 3 Core and Enterprise introduce a powerful new diskless architecture that lets you store your time series data in cloud object storage while running the database engine locally. This approach offers significant advantages: you get the performance of a local database combined with the durability, scalability, and cost-effectiveness of cloud storage. In this tutorial, I’ll show you how to set up InfluxDB 3 Core or Enterprise with Azure Blob Storage as your object store.

Learn how to choose, analyze, and track key help desk metrics to improve efficiency, service quality, and customer satisfaction.

As IT complexity rises and hybrid cloud adoptions accelerate, organizations need trusted, future-ready Oracle monitoring without the overhead.

Ever found yourself drowning in a sea of log data, struggling to make sense of the overwhelming noise? Or perhaps faced a major system breakdown, only to find that your logs didn’t provide the answers you needed, leaving you in the dark? Effective logging is a critical yet often overlooked aspect of software development and operations, highlighting why logging is important – it’s the foundation upon which observability, troubleshooting, and system maintenance are built.

Attend our webinar on April 3 to see our latest innovations live. Register IT Operations are more complex than ever, with modern data centers spanning on-premises, containers, multi-cloud environments, and AI-powered infrastructure. The rapid expansion of data sources has created an overwhelming volume of information, making manual monitoring across multiple tools impractical. Visibility gaps slow down troubleshooting and delay critical decisions, impacting business performance.

Server monitoring is the practice of continuously tracking server health, performance, and resource usage to catch issues before they cause downtime. When a server crashes, it can mean lost revenue, frustrated users, and a mad scramble to fix the problem. The right server monitoring tool helps your IT team stay ahead by providing real-time alerts and visibility into critical metrics. In this guide, we’ll break down how server monitoring works, why it matters, and what to look for in a solution.

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. This solution leverages the latest NVIDIA AI technology, offering a production-ready AI pipeline built on Kubernetes.

The world of edge AI is rapidly transforming how devices and data centers work together. Imagine healthcare tools powered by AI, or self-driving vehicles making real-time decisions. These advancements rely on bringing AI directly to edge devices. However, building a robust architecture for diverse edge environments presents significant hurdles. This blog introduces our new reference architecture, designed to simplify edge AI deployment.

Serverless computing simplifies app development by abstracting away server management. Azure Functions provides a robust platform for event-driven, on-demand code execution. In this tutorial, we’ll create and deploy a Python-based Azure Function—one that parses incoming JSON—using CircleCI. For a more granular and enable programmatic access to Azure resources, we’ll use service principal for secure authentication and the Azure CLI orb to streamline our CI/CD pipeline.