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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.

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

ExternalSoftware Engineering

DZone6 Jul 2026

HTTP QUERY in Java: The Missing Method for Complex REST API Searches

HTTP methods in REST API design are more than technical details; they communicate intent between clients and servers. A GET request instructs the server to retrieve a resource. A POST request typically indicates that data should be processed, often creating a new resource. PUT indicates replacement or update, while DELETE signals removal. These methods are well-established and fundamental to the Web. Despite this, API design has long faced a notable gap.

DZoneRead original

ExternalAI

AWS Machine Learning Blog6 Jul 2026

Deploying Multi-Turn RL Infrastructure for Amazon Nova on Amazon SageMaker HyperPod

In this post, you deploy a two-phase infrastructure for multi-turn RL using Amazon Nova Forge on Amazon SageMaker HyperPod. By the end, you have an event-driven pipeline that starts training when you upload data to Amazon Simple Storage Service (Amazon S3). The training job teaches the model to play Wordle, a placeholder for your own RL task.

Amazon SageMaker AIExpert (400)Technical How-to

AWS Machine Learning BlogRead original

ExternalAI

AWS Machine Learning Blog6 Jul 2026

Automatically redact PII in images with Amazon Nova

In this post, we present a multi-step pipeline directed by Amazon Nova, which uses its contextual vision reasoning to coordinate complementary tools, including Meta’s open-source Segment Anything Model (SAM 3) deployed on Amazon SageMaker AI for pixel-level segmentation, and Amazon Textract for optical character recognition (OCR). This pipeline is designed to provide comprehensive and compliant PII redaction even for challenging edge cases such as fingerprints, ID cards, or license plates in arb

Advanced (300)Amazon BedrockAmazon SageMaker

AWS Machine Learning BlogRead original

ExternalAI

AWS Machine Learning Blog6 Jul 2026

Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatically stream experiment data into a unified tracking interface. This integration streams metrics, parameters, and charts into your serverless Amazon SageMaker MLflow App in real time and you get a unified experiment tracking experience.

Advanced (300)Amazon SageMakerAnnouncements

AWS Machine Learning BlogRead original

ExternalCybersecurity

AWS Security Blog6 Jul 2026

Enforce least-privilege authorization in multi-agent AI chains using Cedar

If you’re building multi-agent AI systems, you need to prevent authorization scope from silently expanding as agents delegate tasks through multi-hop chains. Without proper controls, an agent can potentially act beyond what the originating user authorized, even when role-based access control (RBAC) policies are in place. The OWASP Top 10 for Agentic Applications classifies this […]

Advanced (300)Amazon Verified PermissionsAWS Lambda

AWS Security BlogRead original

ExternalTechnology Trends

Hacker News6 Jul 2026