Networking & Content Delivery

Category: Amazon VPC

Introducing Cross-Region Connectivity for AWS PrivateLink

This post was co-authored by: George Oakes, Senior Specialist Solutions Architect; Wafa Adeel, Senior Product Manager; and Devin Taylor, Senior Software Engineer Overview AWS PrivateLink offers a secure and simple way of sharing and accessing services across VPCs and accounts. All traffic stays on AWS network without going over the public internet. Until now the […]

Encrypt DNS queries using DNS-over-HTTPS (DoH) with Amazon Route 53 Resolver Endpoints

Customers frequently use on-premises DNS infrastructure to resolve DNS queries for internal domains. In 2018, we announced Amazon Route 53 Resolver endpoints, which enable customers to integrate Route 53 with their on-premises DNS infrastructure for hybrid DNS resolution. In 2023, we improved this integration by providing customers the ability to encrypt DNS queries and responses […]

Extend SaaS Capabilities Across AWS Accounts Using AWS PrivateLink support for VPC Resources

In this post, we explore how you can use AWS PrivateLink support for Virtual Private Cloud (VPC) resources to facilitate private, secure, and efficient connectivity to shared resources across VPC and account boundaries, as well as from on-premises environments. We also review common use cases and implementation best practices for implementing this new AWS PrivateLink […]

Migrate Amazon ECS service communication to Amazon VPC Lattice

Advanced L7 routing, authentication and authorization using IAM Policies, and deep observability are key capabilities offered by Amazon VPC Lattice. With VPC Lattice now integrated into Amazon Elastic Container Service (Amazon ECS), you can easily migrate service-to-service communication from using internal Elastic Load Balancing (ELB) to VPC Lattice. This allows you to benefit from VPC Lattice […]

Unlock self-service, enterprise-grade VPC capabilities with seamless integrations

Introduction Defining and provisioning standardized virtual private cloud (VPC) patterns across an enterprise poses several challenges for many customers. These challenges include ensuring self-service capabilities, meeting security and compliance requirements, and maintaining adherence to those requirements. Traditionally, when an application team wants to provision a VPC in their workload account, it is requested through a […]

Migrate your workloads to use VPC endpoints with minimum downtime

Amazon Virtual Private Cloud (Amazon VPC) endpoints are comprised of gateway and interface endpoints that enable users to privately access supported Amazon Web Services (AWS) services and VPC endpoint services powered by AWS PrivateLink. They offer several benefits for organizations looking to enhance their cloud infrastructure’s security, performance, and cost efficiency. In an earlier post, Reduce […]

How Druva uses AWS PrivateLink for Secure Cloud Data Transfers

In this post, we examine how Druva, a SaaS vendor offering cloud data protection and management solutions, implemented AWS PrivateLink to secure data transfers between Druva’s customers using Amazon Web Services (AWS) and Druva virtual private cloud (VPC). PrivateLink establishes private connectivity between VPCs, Amazon hosted services, and on-premises networks using VPC endpoints. This provides […]

Visualize enterprise IP address management and planning with CIDR map

As organizations expand their cloud footprint, IP address management and planning grow increasingly complex. Without the ability to easily understand IP resources across the enterprise, network management tasks supporting business needs such as expansions, mergers, acquisitions, and service discontinuations can be time-consuming and challenging. For those critical networking tasks, a visualized map of your entire […]

Networking best practices for generative AI on AWS

Introduction As generative artificial intelligence (generative AI) continues to evolve, the demand for more powerful and efficient computing resources grows, along with the need to manage exponentially increasing amounts of data. Datasets used for training generative AI models are typically measured in terabytes (TB), orders of magnitude bigger than traditional machine learning (ML) datasets whose […]