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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.

ExternalCloud
Google Cloud Blog

What’s new in serverless Managed Service for Apache Spark

Whether you use it for data preparation, real-time interactive queries, AI model training, or something entirely different, running Apache Spark at scale is demanding — you shouldn’t have to manage the underlying infrastructure too. Late last year, we announced the general availability (GA) of our serverless Managed Service for Apache Spark runtime version 3.0, prioritizing speed, simplicity, and reliability. Since then, customer use of Managed Service for Apache Spark for data science has nearl

StreamingData Analytics
Google Cloud BlogRead original
ExternalAI
AWS Machine Learning Blog

Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI

In this post, you learn how to use Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) together to improve the tool-calling accuracy of a small language model (SLM). The example uses Amazon SageMaker AI training jobs, so you can focus on training code instead of managing your own training infrastructure. You also learn how to evaluate tool-calling accuracy and compare a base model to several fine-tuned variants, so you can make data-driven decisions about model quality.

Advanced (300)Amazon SageMaker AITechnical How-to
AWS Machine Learning BlogRead original
ExternalSoftware Architecture
AWS Architecture Blog

Building highly available Oracle databases with Amazon FSx for NetApp ONTAP

This post shows how to build a highly available Oracle database architecture using FSxN shared storage, Auto Scaling groups with dynamic AMI updates, and serverless orchestration to help reduce recovery times with current configurations.

Advanced (300)Amazon EC2Amazon EventBridge
AWS Architecture BlogRead original
ExternalTechnology Trends
The Verge Tech

PlayStation is getting back to what it’s good at

PlayStation used its most recent State of Play showcase to make it clear where its focus is. After a series of costly live-service stumbles, it's getting back to focusing on premium, narrative-driven, single-player games. That statement was made clear with how it started and ended the hourlong show. The showcase began with an extended look at gameplay from Marvel's Wolverine, the new superhero title from Insomniac Games. Over seven minutes of bloody action, Logan sliced and diced his way through

The Verge TechRead original
ExternalSoftware Engineering
DZone

Building AI-Powered Java Applications With Jakarta EE and LangChain4j

Artificial intelligence is rapidly transforming software development. Many developers now use AI-powered tools to generate code, but the next advancement is integrating AI directly into applications. Modern systems increasingly use large language models (LLMs) to answer questions, automate workflows, summarize information, and enhance user experiences. Software engineers must therefore combine traditional enterprise development practices with AI capabilities while ensuring reliability, scalabili

DZoneRead original
ExternalDatabase
AWS Database Blog

Index types supported in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL using extensions (Bloom, pg_trgm, and pg_bigm)

In Part 1, Part 2, and Part 3 of this series, we explored PostgreSQL’s native indexes (B-tree, GIN, GiST, HASH, BRIN) and specialized extension-based index types (SP-GiST, btree_gin, btree_gist). In this post, we dive into three additional extensions: Bloom (for space-efficient multi-column equality filtering), pg_trgm (for fuzzy text matching and similarity searches), and pg_bigm (for full-text search optimized for Asian languages)

Amazon AuroraBest PracticesExpert (400)
AWS Database BlogRead original
ExternalDatabase
AWS Database Blog

Index types supported in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL using extensions (SP-GiST, Btree_Gin and Btree_Gist)

In this post, the third in the series, we dive into three extension-based index types: SP-GiST, btree_gin, and btree_gist. These are available in Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL. PostgreSQL’s index infrastructure is extensible. Operator classes define how indexes behave for specific data types and operations. The SP-GiST, btree_gin, and btree_gist extensions take advantage of this extensibility to give you additional

Amazon AuroraBest PracticesExpert (400)
AWS Database BlogRead original

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