The document discusses updates to AWS management and governance services from the past six months including re:Invent 2019. It provides an overview of the different categories of services - Enable (ControlTower, LicenseManager, Budgets), Provision (CloudFormation, ServiceCatalog, EC2 ImageBuilder), Operate (CloudWatch, SystemsManager, Config, CloudTrail, Cost Explorer), and others. Key updates mentioned include new features for ControlTower, LicenseManager, CloudFormation registry, and CloudFormation drift detection for StackSets.
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.
The document discusses updates to AWS management and governance services from the past six months including re:Invent 2019. It provides an overview of the different categories of services - Enable (ControlTower, LicenseManager, Budgets), Provision (CloudFormation, ServiceCatalog, EC2 ImageBuilder), Operate (CloudWatch, SystemsManager, Config, CloudTrail, Cost Explorer), and others. Key updates mentioned include new features for ControlTower, LicenseManager, CloudFormation registry, and CloudFormation drift detection for StackSets.
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.