AWS DevOps Blog

Category: Integration & Automation

Manage application security and compliance with the AWS Cloud Development Kit and cdk-nag

Infrastructure as Code (IaC) is an important part of Cloud Applications. Developers rely on various Static Application Security Testing (SAST) tools to identify security/compliance issues and mitigate these issues early on, before releasing their applications to production. Additionally, SAST tools often provide reporting mechanisms that can help developers verify compliance during security reviews. cdk-nag integrates […]

Automated security and compliance remediation at HDI

with Dr. Malte Polley (HDI Systeme AG – Cloud Solutions Architect) At HDI, one of the biggest European insurance group companies, we use AWS to build new services and capabilities and delight our customers. Working in the financial services industry, the company has to comply with numerous regulatory requirements in the areas of data protection […]

Align with best practices while creating infrastructure using CDK Aspects

Organizations implement compliance rules for cloud infrastructure to ensure that they run the applications according to their best practices. They utilize AWS Config to determine overall compliance against the configurations specified in their internal guidelines. This is determined after the creation of cloud resources in their AWS account. This post will demonstrate how to use […]

Secure and analyse your Terraform code using AWS CodeCommit, AWS CodePipeline, AWS CodeBuild and tfsec

Introduction More and more customers are using Infrastructure-as-Code (IaC) to design and implement their infrastructure on AWS. This is why it is essential to have pipelines with Continuous Integration/Continuous Deployment (CI/CD) for infrastructure deployment. HashiCorp Terraform is one of the popular IaC tools for customers on AWS. In this blog, I will guide you through […]

Build and deploy .NET web applications to ARM-powered AWS Graviton 2 Amazon ECS Clusters using AWS CDK

With .NET providing first-class support for ARM architecture, running .NET applications on an AWS Graviton processor provides you with more choices to help optimize performance and cost. We have already written about .NET 5 with Graviton benchmarks; in this post, we explore how C#/.NET developers can take advantages of Graviton processors and obtain this performance […]

CDK Philosophy

Best practices for developing cloud applications with AWS CDK

April 20, 2022: Updates are available in the Best practices topic of the AWS CDK documentation. The documentation is the most up-to-date resource going forward. In this post, we discuss strategies for organizing the development of complex cloud applications with large teams, using the AWS Cloud Development Kit (AWS CDK) as a central technology. AWS […]

Developing enterprise application patterns with the AWS CDK

Enterprises often need to standardize their infrastructure as code (IaC) for governance, compliance, and quality control reasons. You also need to manage and centrally publish updates to your IaC libraries. In this post, we demonstrate how to use the AWS Cloud Development Kit (AWS CDK) to define patterns for IaC and publish them for consumption […]

Mainfrme DevOps On AWS Architecture Overview, Two types of pipelines, Project Pipeline and Regression Pipeline

Automate thousands of mainframe tests on AWS with the Micro Focus Enterprise Suite

We have seen mainframe customers often encounter scalability constraints, and they can’t support their development and test workforce to the scale required to support business requirements. These constraints can lead to delays, reduce product or feature releases, and make them unable to respond to market requirements. Furthermore, limits in capacity and scale often affect the quality of changes deployed, and are linked to unplanned or unexpected downtime in products or services.
The conventional approach to address these constraints is to scale up, meaning to increase MIPS/MSU capacity of the mainframe hardware available for development and testing. The cost of this approach, however, is excessively high, and to ensure time to market, you may reject this approach at the expense of quality and functionality. If you’re wrestling with these challenges, this post is written specifically for you.

Optimizing the cost of running AWS Elastic Beanstalk Workloads

AWS Elastic Beanstalk handles provisioning resources, maintenance, health checks, automatic scaling, and other common tasks necessary to keep your application running, which allows you to focus on your application code. You can now run your applications on Elastic Beanstalk using Amazon Elastic Compute Cloud (Amazon EC2). Spot Instances in both single instance and load balanced […]