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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DZone

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Real-time AI inference has become a fundamental feature of modern applications and has been used to drive applications in conversational agents, recommendation engines, fraud detection, and computer vision pipelines.  In contrast to batch workloads, real-time inference requires stable, low-latency, predictable scaling, and resource efficiency. With the increase in the size or the number of computations performed by models, it becomes more complicated to provide these experiences at a reliable le

DZoneRead original
ExternalDevOps
AWS DevOps Blog

Debug deployment failures faster with the Deployments tab in AWS Elastic Beanstalk

Introduction When a deployment fails, finding the root cause often means piecing together information from multiple sources. You wait for the deployment to finish, request a log bundle, download it, and then search through files like eb-engine.log and cfn-init.log to find the error. If you’re not familiar with Elastic Beanstalk’s log file structure, you might […]

Amazon EC2AWS Elastic BeanstalkUncategorized
AWS DevOps BlogRead original
External
CSS-Tricks

Another Stab at the Perfect CSS Pie Chart… Sans JavaScript!

We dive again into CSS Pie Charts! This time, Author Antoine Villepreux delivers semantic and flexible charts without a single line of JS. Another Stab at the Perfect CSS Pie Chart… Sans JavaScript! originally handwritten and published with love on CSS-Tricks. You should really get the newsletter as well.

Articleschartsdata visualization
CSS-TricksRead original
ExternalAI
NVIDIA Technical Blog

NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents

Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete... Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete complex workflows. However, these multi-agent workflows cause token counts to grow quickly. Agents plan, call tools, invoke sub-agents, receive information, and then pass history, outputs

NVIDIA Technical BlogRead original
ExternalSoftware Engineering
DZone

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 2

What This Series Is About This is Part 2 of a two-part series on building a Slack bot that answers natural language questions about a GitHub repository using AWS Bedrock (Claude) and GitHub's official Model Context Protocol (MCP) server. Part 1 covered the why: most AI tools suggest wrapping GitHub's REST API and feeding the response to a model. That approach works, but it produces brittle glue code that grows with every new question type and every new data source. MCP offers a fundamentally bet

DZoneRead original

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