This document contains code snippets related to Spring Security configuration and authentication. It defines classes and methods for configuring security, processing login requests, loading user details, and authenticating users. Key aspects include configuring security filters and authorization rules, processing username/password authentication, validating login credentials against encoded passwords, and loading pre-authenticated users based on access tokens.
This document discusses messaging queues and platforms. It begins with an introduction to messaging queues and their core components. It then provides a table comparing 8 popular open source messaging platforms: Apache Kafka, ActiveMQ, RabbitMQ, NATS, NSQ, Redis, ZeroMQ, and Nanomsg. The document discusses using Apache Kafka for streaming and integration with Google Pub/Sub, Dataflow, and BigQuery. It also covers benchmark testing of these platforms, comparing throughput and latency. Finally, it emphasizes that messaging queues can help applications by allowing producers and consumers to communicate asynchronously.
This document describes how to configure Spring Security for authentication and authorization in a web application. It defines a WebSecurityConfig class that configures HTTP security with roles like OWNER and MANAGER for access control. It also defines a UserDetailsManager service for loading users and a User entity class implementing UserDetails. Tests are shown for security configuration, login, access control and more using Spring Security's test utilities.
This document contains code snippets related to Spring Security configuration and authentication. It defines classes and methods for configuring security, processing login requests, loading user details, and authenticating users. Key aspects include configuring security filters and authorization rules, processing username/password authentication, validating login credentials against encoded passwords, and loading pre-authenticated users based on access tokens.
This document discusses messaging queues and platforms. It begins with an introduction to messaging queues and their core components. It then provides a table comparing 8 popular open source messaging platforms: Apache Kafka, ActiveMQ, RabbitMQ, NATS, NSQ, Redis, ZeroMQ, and Nanomsg. The document discusses using Apache Kafka for streaming and integration with Google Pub/Sub, Dataflow, and BigQuery. It also covers benchmark testing of these platforms, comparing throughput and latency. Finally, it emphasizes that messaging queues can help applications by allowing producers and consumers to communicate asynchronously.
This document describes how to configure Spring Security for authentication and authorization in a web application. It defines a WebSecurityConfig class that configures HTTP security with roles like OWNER and MANAGER for access control. It also defines a UserDetailsManager service for loading users and a User entity class implementing UserDetails. Tests are shown for security configuration, login, access control and more using Spring Security's test utilities.
The AWS Well-Architected Framework provides guidance to help organizations design and operate reliable, secure, and efficient infrastructure on AWS. It was first introduced in 2015 and has continued to evolve with new best practices. The framework consists of five pillars - operational excellence, security, reliability, performance efficiency, and cost optimization. It includes a self-assessment tool that allows users to evaluate their workloads against the best practices and identify areas for improvement. The tool uses a PDCA (plan-do-check-act) approach to continuously monitor and make adjustments to infrastructure.
This document discusses zero trust architecture and new AWS security services announced at re:Invent 2018. It mentions AWS Resource Access Manager (RAM) which provides sharing of AWS resources across VPCs securely. It also mentions AWS Control Tower which helps set up and govern multi-account AWS environments according to best practices.