#cloud-native

#cloud-native

Unified observability signifies the possession of one consistent view over all the parts of a distributed system - applications, infrastructure, and services. With modern systems being spread over several clouds, microservices, and APIs, the only way to have such visibility is through open standards and distributed tracing. Standards such as OpenTelemetry not only make it easier to collect but also to correlate the telemetry data (logs, metrics, and traces) from various components.

Announced December 10, the deal enables Java platform provider Azul to offer faster, more efficient, more secure, and more cost-effective deployments in the Java application stack, Azul said. The company said the combination of Azul and Payara addresses pressing challenges enterprises face today: accelerating application modernization, achieving cloud-native agility, and reducing dependencies on proprietary platforms. With an integrated offering, users are provided with a unified, enterprise-grade Java platform based on open-source that can support an organization's full Java fleet

In the past decade, we've seen two major advances in software development: cloud-native architecture and artificial intelligence. The first redefined how we build, deploy, and manage applications, and the second is becoming a mainstream utility. Now, the two are converging, prompting developers to reevaluate both their skill sets and architectural strategies. This convergence isn't just future talk. It's today's competitive reality.

AI inference is the process by which a trained large language model (LLM) applies what it has learned to new data to make predictions, decisions, or classifications. In practical terms, the process goes like this. After a model is trained, say the new GPT 5.1, we use it during the inference phase, where it analyzes data (like a new image) and produces an output (identifying what's in the image) without being explicitly programmed for each fresh image. These inference workloads bridge the gap between LLMs and AI chatbots and agents.

The Spring Framework is possibly the most iconic software development framework of all time. It once suffered from a reputation of bloat, but it has long since shed that perception. In this article, we'll take fresh look at Spring, including an overview of Spring Boot and how Spring handles standard application needs like persistence and security. You'll also learn about newer features that modernize Spring, including its approach to developer experience, reactive programming, and cloud and serverless development.

"Solo.io is a cloud connectivity company. Its main cloud products are Gloo Gateway, a cloud-native API gateway built on Envoy, and Gloo Mesh, which aims to simplify Istio service mesh management for Kubernetes. And, of course, there are the inevitable AI-related products. When we spoke to Levine, Solo.io had just announced an MCP gateway for kgateway (described by the company as "the ecosystem's most mature and widely deployed cloud-native API gateway"). Most recently, the company announced that it had donated agentgateway to the Linux Foundation."

The real value in multi-cloud operations lies in providing consistent operations across AWS, Azure, and Google Cloud Platform. "If I want to run something in Google and I want to run something in Amazon, if I have to learn new ways of doing things... it becomes more complex for the enterprise," he explained. Nutanix enables organizations to maintain the same operational model across all cloud environments, reducing training requirements and operational complexity.

The transition from local development to production is crucial in creating a seamless developer experience, which is a focus for tools and frameworks today.

The new version of Veeam Kasten for Kubernetes focuses on enterprise-ready virtualization, enhanced security, easy scalability, and customer choice, unifying data protection for VMs.