Hello CloudMakers!

Today we shall see:

• A Benchmark Study of Serverless Solutions for Message Delivery to Containers

• Platform Engineering with AWS Service Catalog

• Behavior-Driven Development (BDD) Framework for Terraform

Enjoy!

Evaluating Performance: A Benchmark Study of Serverless Solutions for Message Delivery to Containers on AWS Cloud

This article presents a solution for updating private containers with database changes using AWS serverless services and the fan-out pattern. It addresses the need for real-time notification of containers in an autoscaling environment, ensuring all containers maintain a consistent state.

The solution, favored for its scalability and minimal resource wastage, underwent benchmark testing to confirm its effectiveness in meeting the requirement for updates within 2 seconds. Results affirmed the approach's capability to provide fast and reliable updates, showcasing the benefits of a serverless architecture in facilitating efficient, real-time synchronization across a distributed container setup. This demonstrates the fan-out pattern's role in optimizing container notification processes within cloud environments.

Streamline Platform Engineering using AWS CodeStar Connections with AWS Service Catalog

AWS has recently enhanced its Service Catalog and CloudFormation with Git-sync capabilities, allowing Platform Engineers to integrate their Infrastructure as Code (IaC) templates directly from source control libraries like GitHub and BitBucket. This significant update streamlines DevOps workflows by enabling automatic updates to Service Catalog products whenever new template versions are committed to a code repository.

This innovation is part of AWS's broader effort to support organizations in adopting cloud more efficiently. By adopting Git-sync, Platform Engineers can leverage DevSecOps workflows to ensure code quality and compliance with best practices automatically. This method simplifies the entire lifecycle of service catalog products, from creation to deployment, allowing application teams to deploy resources swiftly and securely, without the traditional bottlenecks of tickets and manual handoffs.

Behavior-Driven Development (BDD) Framework for Terraform

Integrating Behave, a Python-based Behavior-Driven Development (BDD) framework, with Terraform, an Infrastructure as Code (IaC) tool, offers a powerful way to ensure that infrastructure behaves as expected. Behave allows developers to write tests in a human-readable format, describing the expected behavior of infrastructure systems.

By combining Behave's BDD approach with Terraform's IaC capabilities, developers can adopt a more systematic and reliable method for testing and ensuring the robustness of their infrastructure deployments. This integration not only facilitates a better understanding of the infrastructure's behavior but also contributes to a more predictable and dependable development process.

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