As artificial intelligence (AI) and machine learning (ML) workloads continue to grow in complexity and scale, the need for powerful and efficient computational resources becomes more critical. Running workloads on Kubernetes allows you to leverage the scalability and self-healing capabilities, however, there are challenges when it comes to managing and optimizing GPU resources. This is…

Feature flags offer an excellent way to quickly turn off and on product changes by enabling you to remove and add the code in the software quickly. Marketers or product managers can choose a time and moment to make a feature or function live to win that aha moment. The feature flags are helpful to…

This blog post was originally published on The New Stack by Ninad Desai, Staff Site Reliability Engineer at InfraCloud. Microservices have become the go-to approach for building scalable and resilient applications — mainly in the cloud native world. However, the increased complexity of managing communication between these distributed components has given rise to a powerful…

The world is fast moving towards an on-demand economy. Whether it’s on-demand movies or on-demand food, customers expect everything to be on-demand and instant. To keep up with such demands, applications must be able to serve information and process transactions at the same speed and accuracy as a professional barista crafting a perfect shot of…

Enterprises are increasingly turning to Kubernetes for container orchestration, drawn by its promise of scalability, agility, and portability. While cloud-based Kubernetes solutions have gained traction, on-premises deployments remain a compelling option for organizations seeking greater control, security, and cost-efficiency. In this blog post, we’ll explore how to set up a Kubernetes cluster on bare metal…

Have you ever used AI tools like ChatGPT to chat with a robot or Stable Diffusion to generate unique images? Wondered how they work? Familiar apps, like the contacts app you use, use structured data, i.e., name, phone number, email address, and a few more text and numeric fields. While AI apps deal with different…

The adoption of cloud-native methodologies, processes and tools has been a challenge for communications service providers (CSPs), aka telcos or network operators. Telcos are embracing cloud-native processes and tools It’s part of their evolution towards being digital service providers But the cloud-native journey is still in its early stages Real cultural change is needed if…

Survey data and discussions with enterprise networking professionals reveal they are still grappling with many networking issues spawned by the expansion of the cloud – the most common of which include securing connections for remote work, implementing zero-trust security strategies, and integrating myriad cloud and wide-area networks (WANs). For example, in Futuriom’s latest survey of 196…

The move to AI and cloud native is accelerating amongst network equipment and IT vendors which have announced highly integrated smart cloud solutions designed to migrate their telco customers into a new and profitable cloud future.  The Cloud Native Computing Foundation (CNCF), as the name suggests, is a vendor-neutral consortium dedicated to making cloud native ubiquitous.…

Introduction: Telco cloud has evolved from the much hyped (but commercially failed) NFV/Virtual Network Functions or VNFs and classical SDN architectures, to today’s more robust platforms for managing virtualized and cloud-native network functions that are tailored to the needs of telecom network workloads. This shift is bringing many new participants to the rapidly evolving telco…