AWS FeedThe three most important AWS WAF rate-based rules In this post, we explain what the three most important AWS WAF rate-based rules are for proactively protecting your web applications against common HTTP flood events, and how to implement these rules. We share what the Shield Response Team (SRT) has learned from helping customers respond…
AWS FeedBuilding well-architected serverless applications: Regulating inbound request rates – part 1 This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the introduction post for a…
AWS FeedAmazon Aurora Supports PostgreSQL 12.6, 11.11, 10.16, and 9.6.21 in AWS GovCloud (US) Regions Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 12.6, 11.11, 10.16, and 9.6.21 in AWS GovCloud (US) regions. These releases contain bug fixes and improvements…
AWS FeedHow The Washington Post’s Arc XP uses CloudWatch Metrics Explorer to reduce costs The Washington Post, an American daily newspaper company, delivers digital news content using Arc XP’s digital experience platform. Arc XP originated in The Post and has grown into a SaaS business used by publishers, broadcasters, and brands to create, host, and…
AWS FeedUpdated XCSSET Malware Targets Telegram, Other Apps Threats Analyst Threats Analyst In our last update on the XCSSET campaign, we updated some of its features targeting latest macOS 11 (Big Sur). Since then, the campaign added more features to its toolset, which we have continually monitored. We have also discovered the mechanism used to…
AWS FeedSimplify data annotation and model training tasks with Amazon Rekognition Custom Labels For a supervised machine learning (ML) problem, labels are values expected to be learned and predicted by a model. To obtain accurate labels, ML practitioners can either record them in real time or conduct offline data annotation, which are activities that assign…