55 private links
Article on AWS's questionable egress pricing.
In this post, Werner Vogels recaps the origin story of S3.
Site with a latency matrix for the latency between the different AWS source and destination regions.
AWS launched Red Hat OpenShift Service on AWS (ROSA).
AWS is going to create and maintain an ALv2-licensed fork of open source Elasticsearch and Kibana.
Percona compared the price-performance of PostgreSQL on x86 and ARM AWS EC2 instances.
»Babelfish is a new translation layer for Amazon Aurora PostgreSQL that enables Aurora to understand commands from applications written for Microsoft SQL Server.«
Amazon now provides EC2 Mac Instances powered by Mac mini hardware, Intel, not M1 based.
VMware Cloud on AWS Quick Reference Poster.
Amazon RDS Performance Insights, an advanced database performance monitoring feature that makes it easy to diagnose and solve performance challenges on Amazon RDS databases, is now generally available on Amazon RDS for SQL Server. It offers a free tier with 7 days of data retention and a paid long-term data retention option.
Amazon Aurora is a relational database service for OLTP workloads offered as part of Amazon Web Services (AWS). In this paper, we describe the architecture of Aurora and the design considerations leading to that architecture. We believe the central constraint in high throughput data processing has moved from compute and storage to the network. Aurora brings a novel architecture to the relational database to address this constraint, most notably by pushing redo processing to a multi-tenant scale- out storage service, purpose-built for Aurora. We describe how doing so not only reduces network traffic, but also allows for fast crash recovery, failovers to replicas without loss of data, and fault-tolerant, self-healing storage. We then describe how Aurora achieves consensus on durable state across numerous storage nodes using an efficient asynchronous scheme, avoiding expensive and chatty recovery protocols. Finally, having operated Aurora as a production service for over 18 months, we share lessons we have learned from our customers on what modern cloud applications expect from their database tier.