Remove Metrics Remove Performance Remove Serverless Remove System Design
article thumbnail

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes.

article thumbnail

Cybersecurity Snapshot: Insights on Hive Ransomware, Supply Chain Security, Risk Metrics, Cloud Security

Tenable

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . But to truly map cybersecurity efforts to business objectives, you’ll need what CompTIA calls “an organizational risk approach to metrics.”.

Metrics 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

21 Best Practices for Migrating to React JS

Modus Create

The modernization of web applications is a core requirement as customers demand high performing and well-designed user interfaces. Know that there will be a performance penalty until the migration is completed caused by multiple simultaneous frameworks, routing parallelism, etc. Set healthy performance budgets.

article thumbnail

160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Introduction to Employee Performance Management , June 10. 60 Minutes to Better Product Metrics , July 10. Systems engineering and operations. Systems Design for Site Reliability Engineers: How To Build A Reliable System in Three Hours , May 14. Practical Software Design from Problem to Solution , May 17.

Course 47
article thumbnail

Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture

Confluent

Rather, we apply different event planes to provide orthogonal aspects of system design such as core functionality, operations and instrumentation. Event streams provide a model for scaling horizontally as well as performing local processing. Instrumentation plane tracking application-wide metrics.

article thumbnail

Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.

article thumbnail

The Cloud Cost-Conscious Conundrum

taos

Testing a market, be it domestic or international, is best done where the test can be performed without a significant time or effort commitment. Given the security theater we are forced to perform within, security of data means everything. Why run a server if you could be serverless? Data Restrictions. Is it in the application?

Cloud 40