Remove Load Balancer Remove Metrics Remove Open Source
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

When customers receive incoming calls at their call centers, MaestroQA employs its proprietary transcription technology, built by enhancing open source transcription models, to transcribe the conversations. Success metrics The early results have been remarkable.

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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

Additionally, SageMaker endpoints support automatic load balancing and autoscaling, enabling your LLM deployment to scale dynamically based on incoming requests. Optimizing these metrics directly enhances user experience, system reliability, and deployment feasibility at scale. xlarge across all metrics.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain. Additionally, you can access device historical data or device metrics. What is an AI assistant?

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Adding Postgres 16 support to Citus 12.1, plus schema-based sharding improvements

The Citus Data

As many of you likely know, Citus is an open source PostgreSQL extension that turns Postgres into a distributed database. PostgreSQL 16 has introduced a new feature for load balancing multiple servers with libpq, that lets you specify a connection parameter called load_balance_hosts. Postgres 16 support in Citus 12.1

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Demystifying Kuma Service Mesh

Dzone - DevOps

Under a heavy load, the application could break if the traffic routing, load balancing, etc., In this blog post, we will discuss the open-source service mesh Kuma, its architecture, and its easy-to-implement policies like traffic control, metrics, circuit breaking, etc. were not optimized.

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HA Prometheus – The Thanos Evolution

OpenCredo

An important part of ensuring a system is continuing to run properly is around gathering relevant metrics about the system so that they can either have alerts triggered on them, or graphed to aid diagnosing problems. The metrics are stored in blocks encompassing a configured period of time (by default 2 hours). Initial HA Prometheus.