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ExternalSoftware Engineering
DZone

From raw manifests to self-service Kubernetes apps: creating enterprise-ready open platforms

Sponsored By: Nutanix The following is sponsored content. It may not reflect the views of our editorial staff. The Kubernetes scaling problem nobody talks about Enterprise platform teams encounter the same pattern repeatedly: a Kubernetes platform works well enough that nobody wants to change it. This happens gradually as teams make reasonable technology choices: selecting different ingress controllers, secrets management tools, CD platforms, or observability software. Individually, none o

DZoneRead original
ExternalCloud
AWS Compute Blog

Implementing dynamic feature flags with AWS AppConfig on AWS Lambda

Feature toggles allow you to change application behavior in real time without deploying new code. Learn how to implement dynamic feature flags with AWS AppConfig on AWS Lambda for safe deployments, gradual rollouts, and instant rollback.

Advanced (300)AWS LambdaTechnical How-to
AWS Compute BlogRead original
ExternalSoftware Engineering
GitHub Changelog

Grok 4.6 is now available in GitHub Copilot

Grok 4.6, xAI’s latest reasoning model, is now rolling out in GitHub Copilot. It is designed for agentic coding and complex multi-step workflows. In our internal testing, Grok 4.6 showed… The post Grok 4.6 is now available in GitHub Copilot appeared first on The GitHub Blog.

GitHub ChangelogRead original
ExternalAI
AWS Machine Learning Blog

Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge

In multi-turn reinforcement learning, your custom reward function decides what the model actually learns. This post shows how to design a composite multi-turn reward for Amazon Nova Forge, execute model-generated code safely inside it, and instrument each component to catch the pitfalls that quietly collapse a reward.

Amazon NovaAmazon SageMaker HyperPodExpert (400)
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

AI-Powered API Development With Spring AI

Artificial intelligence has rapidly become a core capability in modern software development. For Java developers, integrating these capabilities into existing enterprise applications no longer requires learning entirely new frameworks or interacting directly with complex AI APIs. Spring AI bridges this gap by providing a familiar Spring programming model for working with large language models (LLMs) from providers such as OpenAI, Google Gemini, and others. In this article, we will build a simple

DZoneRead original

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