Remove Load Balancer Remove Policies Remove Storage
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VPC Service Controls – A step by step guide

Xebia

Take for example the ability to interact with various cloud services such as Cloud Storage, BigQuery, Cloud SQL, etc. For ingress access to your application, services like Cloud Load Balancer should be preferred and for egress to the public internet a service like Cloud NAT.

Policies 130
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Architecting a multi-tenant generative AI environment on AWS A multi-tenant, generative AI solution for your enterprise needs to address the unique requirements of generative AI workloads and responsible AI governance while maintaining adherence to corporate policies, tenant and data isolation, access management, and cost control.

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Create your Private Data Warehousing Environment Using Azure Kubernetes Service

Cloudera

Cloudera secures your data by providing encryption at rest and in transit, multi-factor authentication, Single Sign On, robust authorization policies, and network security. CDW has long had many pieces of this security puzzle solved, including private load balancers, support for Private Link, and firewalls. Network Security.

Azure 123
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Network topologies – A series: Part 1

Xebia

This setup will adopt the usage of cloud load balancing, auto scaling and managed SSL certificates. The way Google configures the VMs results in two remaining abilities: read/write access to Cloud Logging and read access to Cloud Storage. This MIG will act as the backend service for our load balancer.

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Mastering AWS Infrastructure as Code with Pulumi and Python

Perficient

The goal is to deploy a highly available, scalable, and secure architecture with: Compute: EC2 instances with Auto Scaling and an Elastic Load Balancer. Storage: S3 for static content and RDS for a managed database. Implement Role-Based Access Control (RBAC): Use IAM roles and policies to restrict access.

AWS 52
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Enterprise Storage Systems in a Midrange package

Hu's Place - HitachiVantara

High end enterprise storage systems are designed to scale to large capacities, with a large number of host connections while maintaining high performance and availability. This takes a great deal of sophisticated technology and only a few vendors can provide such a high end storage system. Very few are Active/Active.

Storage 64
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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Consider integrating Amazon Bedrock Guardrails to implement safeguards customized to your application requirements and responsible AI policies. You can also fine-tune your choice of Amazon Bedrock model to balance accuracy and speed. Additionally, Amazon API Gateway incurs charges based on the number of API calls and data transfer.