Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes has become the go-to solution for container orchestration, but managing Kubernetes costs effectively is challenging for businesses aiming to optimize their IT expenditures. Let’s go through various types of costs associated with running Kubernetes and explore some key strategies and practical tips for Kubernetes cost optimization.

London, 30 April 2024. Today Canonical announced the availability of Landscape’s first LTS release. Landscape 24.04 LTS features a new versioned API, a new web portal with accessibility and performance in mind, and intuitive controls for software distribution. Landscape 24.04 LTS comprises Landscape Server and Landscape Client. With a modernised backend and web portal in place, engineering teams can work efficiently, focusing on patches and new features.

The recent McKinsey report, the state of cloud computing in Europe has exposed not only low returns, but also serious challenges for businesses embracing cloud as the basis of digital transformation. The first concern is that not only is the value of cloud ‘in isolated pockets and at subscale ’, but also that it is limited to the IT department. Whilst 75 percent of those surveyed reported either technology cost savings or productivity increases, only one-third have seen such savings beyond IT.

Flawless software performance and reliability are paramount for organizations to achieve success in the form of business value. To ensure this, real-time, continuous monitoring of development and operations (DevOps) pipelines has become more than just a formality for DevOps teams. In this blog, we’ll look at why DevOps monitoring has become a prominent part of IT engineering, exploring its benefits for DevOps practices and outlining practical strategies for successful implementation.

Remember the pre-automation days in DevOps? Endless server configurations, manual deployments that took hours (or days!), and a constant feeling of being buried in repetitive tasks. Yeah, those were the times... �� Thankfully, those days are fading fast. The magic of automation has swept through the DevOps landscape, transforming tedious workflows into streamlined processes.

A study of 4 major use cases of AI in cars In this fast-paced age of technological evolution, Artificial Intelligence (AI) emerges as the key catalyst driving profound shifts in the automotive sector. From smart vehicle design to customised in-car interactions, AI is reshaping every aspect of transportation, ensuring safer, more effective, and environmentally friendly journeys for both drivers and passengers.

I recently wrote about how AI can support unified communications in the enterprise, but its applications are much broader than that, and communications service providers also have the opportunity to benefit. In a recent Gartner survey, 95% of telecom CIOs said they plan to implement AI/ML technologies by 2026 and 79% said they plan to increase their AI/ML investments.