Operations | Monitoring | ITSM | DevOps | Cloud

User expectations — those of employees and customers alike — are turning up the heat for businesses and their IT departments. Could the demand for nonstop, fast, and basically flawless digital services be any higher?

From 2022 to 2023, worldwide cloud spending is expected to increase to $597.3 billion, up from $491 billion in 2022. Year over year, that’s a 21.64% increase. Compare that to the 15.42% increase (at the time of writing) in the Nasdaq-100 Technology Sector Index, and you see a simple, inconvenient truth: Cloud spend is outpacing business growth by a substantial margin. It’s no wonder that cloud efficiency sits at the top of many companies’ priority lists.

Kubernetes has revolutionized how modern applications are deployed, managed, and scaled. As the container orchestration platform of choice, Kubernetes provides a dynamic and highly efficient environment for running containerized applications. At the heart of this ecosystem lies the intricate relationship between Kubernetes and the applications residing within its clusters. Applications within Kubernetes clusters are arranged through Pods, which are managed and scaled by various controllers.

This blog centers around Azure Functions monitoring best practices and how it tends to be better monitored using Serverless360.

In the ever-evolving landscape of modern software development and deployment, Kubernetes has emerged as a prominent solution to manage and orchestrate applications. This technology has redefined how applications are deployed and maintained, offering a flexible and efficient framework that abstracts the underlying infrastructure complexities. In Kubernetes, you define how network traffic should be routed to different services and pods.

In the ever-evolving world of software development, incidents are bound to happen. Whether it's an unexpected server crash, a critical bug impacting user experience, or a security breach, handling incidents swiftly and effectively is crucial for maintaining a seamless user experience and preserving business reputation. That's where incident response tools come in — to help you automate, document, communicate, and mitigate.

Grafana is a monitoring system that helps you visualize your infrastructure and provides notifications when errors occur. It offers interesting features on some versions as it's the case on v7 and v8. We will go through some that are very interesting in particular Panel editor, Tracing UI, bar graph, and visualization. With MetricFire specializing in hosted monitoring, you can easily make a Grafana dashboard by booking a demo or signing on to the free trial immediately.

In its analysis of over 1,400 use cases from “Eye on Innovation” in Financial Services Awards, Gartner found that machine learning (ML) is the top technology used to empower innovations at financial services firms, with operational efficiency and cost optimisation as key intended business outcomes. ML is a branch of artificial intelligence (AI) that involves the development of algorithms and models capable of automatically learning and improving from data.