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Building Resilient Public Networking on AWS: Part 2

Xebia

Deploy Secure Public Web Endpoints Welcome to Building Resilient Public Networking on AWS—our comprehensive blog series on advanced networking strategies tailored for regional evacuation, failover, and robust disaster recovery. Moreover, we’ve prepared a GitHub repository to complement this blog series.

AWS 147
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A Comprehensive Guide to AEM Instances: Types, Uses, and Management – Part 1

Perficient

AEM structure includes instances that vary from environment to environment like Author Instance, Publish Instance, Dispatcher, and Load Balancer. Any created content or page in AEM gets reviewed and confirmed in three stages i.e., Development, Stage, and Production environment.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system. Prompts also help ground the model. langsmith==0.0.43 pgvector==0.2.3

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Speed Test: AEM on Adobe Managed Services vs Cloud Service

Perficient

In this blog, I will look at these several factors compared across the architecture differences of AEM with Adobe Managed Services (AMS) compared to the newer AEM as a Cloud Service (AEMaaCS) architecture. Additionally, if you upload a large number of assets, the system slows down due to increased CPU and memory usage.

Cloud 52
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Test drive the Citus 11.0 beta for Postgres

The Citus Data

The easiest way to use Citus is to connect to the coordinator node and use it for both schema changes and distributed queries, but for very demanding applications, you now have the option to load balance distributed queries across the worker nodes in (parts of) your application by using a different connection string and factoring a few limitations.

Testing 127
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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Maximizing Cloud Cost Efficiency: 5 Essential Strategies for Cloud FinOps

Perficient

In this blog, we will highlight five specific strategies for Cloud FinOps, focusing on autoscaling, budgets, reservations, monitoring for under-utilized resources, and architecting systems for cost efficiency. Upsizing or downsizing instances can significantly impact cost savings without sacrificing performance.

Cloud 52