Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. At re:Invent 2018, we announced Amazon Managed Streaming for Apache Kafka, a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. When you use Apache Kafka, you capture real-time data from sources such as IoT devices, database change events, and website clickstreams, and deliver it to destinations such as databases and persistent storage. Kafka Connect is an open-source component of Apache Kafka that provides a framework for connecting with external systems such as databases, key-value stores, search indexes, and file systems. However, manually running Kafka Connect clusters requires you to plan and provision the required…
Tag: Danilo Poccia
Amazon Managed Grafana Is Now Generally Available with Many New Features
In December, we introduced the preview of Amazon Managed Grafana, a fully managed service developed in collaboration with Grafana Labs that makes it easy to use the open-source and the enterprise versions of Grafana to visualize and analyze your data from multiple sources. With Amazon Managed Grafana, you can analyze your metrics, logs, and traces without having to provision servers, or configure and update software. During the preview, Amazon Managed Grafana was updated with new capabilities. Today, I am happy to announce that Amazon Managed Grafana is now generally available with additional new features: Grafana has been upgraded to version 8 and offers new data sources, visualizations, and features, including library panels that you can build once and re-use on…
New for AWS CloudFormation – Quickly Retry Stack Operations from the Point of Failure
One of the great advantages of cloud computing is that you have access to programmable infrastructure. This allows you to manage your infrastructure as code and apply the same practices of application code development to infrastructure provisioning. AWS CloudFormation gives you an easy way to model a collection of related AWS and third-party resources, provision them quickly and consistently, and manage them throughout their lifecycles. A CloudFormation template describes your desired resources and their dependencies so you can launch and configure them together as a stack. You can use a template to create, update, and delete an entire stack as a single unit instead of managing resources individually. When you create or update a stack, your action might fail for…