Amazon
- News
- Last Updated: May 14, 2024
- Scott Truitt
Today, we’re thrilled to announce four new trusted data integrations that allow data to flow seamlessly and securely between Heroku and external resources in public clouds and private data centers: Heroku Postgres via mutual TLS Heroku Postgres via PrivateLink Apache Kafka on Heroku via PrivateLink Heroku Redis via PrivateLink These integrations expand Heroku's security and trust boundary to cover the connections to external resources and the data that passes through them. They enable true multi-cloud app and data architectures and keep developers focused on delivering value versus managing infrastructure. Data is the driving force in modern app development, and these…
- News
- Last Updated: May 22, 2019
- Scott Truitt
Today, we're thrilled to announce Heroku Postgres via PrivateLink, a new integration that enables customers to seamlessly and securely connect Heroku Postgres databases in Private Spaces to resources in one or more Amazon VPCs. Heroku Postgres via PrivateLink connections are secure and stable by default because traffic to and from Heroku Postgres stays on the Amazon private network; once a PrivateLink is set up, there is no brittle networking configuration to manage. As always, security and trust are top of mind with everything we do at Heroku. The ability to configure Heroku Postgres via PrivateLink is already enabled on all…
- Engineering
- Last Updated: June 03, 2024
- Vikram Rana
Building a SaaS product, a system to handle sensor data from an internet-connected thermostat or car, or an e-commerce store often requires handling a large stream of product usage data, or events. Managing event streams lets you view, in near real-time, how users are interacting with your SaaS app or the products on your e-commerce store; this is interesting because it lets you spot anomalies and get immediate data-driven feedback on new features. While this type of stream visualization is useful to a point, pushing events into a data warehouse lets you ask deeper questions using SQL. In this post,…
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