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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.

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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
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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

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. AWS Design Fundamentals , June 10-11.

Course 47
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21 Best Practices for Migrating to React JS

Modus Create

In many cases, this layer could exist in the cloud as redirects or services like serverless compute. Serverless on the Edge or CDN is a great choice as it comes with extremely low latency of around 30ms worldwide. Consider managing performance metrics via open-source budgeting tools like Modus Gimbal. Use a Design System.

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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. You not only monitor the happy path but also track all other aspects like error handling with dead letter queues, business metrics and flow metrics. Event-driven architecture.

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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.

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The Cloud Cost-Conscious Conundrum

taos

Data storage, logic hosting and monitoring tools exist and provide quick integration into existing system designs. Why run a server if you could be serverless? And why build your own system monitoring or log aggregation solution when a service can be consumed? Other non-infrastructure services also exist.

Cloud 40