AWS DevOps & Developer Productivity Blog
Category: AWS CloudFormation
Organize your AWS Serverless code to prevent merge conflicts
How do you prevent the most common merge conflicts when your team is working on a Serverless application? How do you make sure that your team stays productive and avoids large merge issues while trying to update the same crucial files simultaneously? –The answer to both questions is code organization! You can use cfn-include and […]
Using CloudFormation events to build custom workflows for post provisioning management
Over one million active customers manage application resources with AWS CloudFormation every week. CloudFormation is a service that helps you model, provision, and manage your cloud resources by treating Infrastructure as Code (IaC). It can simplify infrastructure management, quickly replicate your environment to multiple AWS regions with a single turn-key solution, and let you easily […]
Implementing long running deployments with AWS CloudFormation Custom Resources using AWS Step Functions
AWS CloudFormation custom resource provides mechanisms to provision AWS resources that don’t have built-in support from CloudFormation. It lets us write custom provisioning logic for resources that aren’t supported as resource types under CloudFormation. This post focusses on the use cases where CloudFormation custom resource is used to implement a long running task/job. With custom […]
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 […]
Use the AWS Toolkit for Azure DevOps to automate your deployments to AWS
Many developers today seek to improve productivity by finding better ways to collaborate, enhance code quality and automate repetitive tasks. We hear from some of our customers that they would like to leverage services such as AWS CloudFormation, AWS CodeBuild and other AWS Developer Tools to manage their AWS resources while continuing to use their […]
Govern CI/CD best practices via AWS Service Catalog
Introduction AWS Service Catalog enables organizations to create and manage Information Technology (IT) services catalogs that are approved for use on AWS. These IT services can include resources such as virtual machine images, servers, software, and databases to complete multi-tier application architectures. AWS Service Catalog lets you centrally manage deployed IT services and your applications, […]
Leverage DevOps Guru for RDS to detect anomalies and resolve operational issues
The Relational Database Management System (RDBMS) is a popular choice among organizations running critical applications that supports online transaction processing (OLTP) use-cases. But managing the RDBMS database comes with its own challenges. AWS has made it easier for organizations to operate these databases in the cloud, thereby addressing the undifferentiated heavy lifting with managed databases […]
How to unit test and deploy AWS Glue jobs using AWS CodePipeline
This post is intended to assist users in understanding and replicating a method to unit test Python-based ETL Glue Jobs, using the PyTest Framework in AWS CodePipeline. In the current practice, several options exist for unit testing Python scripts for Glue jobs in a local environment. Although a local development environment may be set up […]
Deploy and Manage Gitlab Runners on Amazon EC2
Gitlab CI is a tool utilized by many enterprises to automate their Continuous integration, continuous delivery and deployment (CI/CD) process. A Gitlab CI/CD pipeline consists of two major components: A .gitlab-ci.yml file describing a pipeline’s jobs, and a Gitlab Runner, an application that executes the pipeline jobs. Setting up the Gitlab Runner is a time-consuming […]
Monitor AWS resources created by Terraform in Amazon DevOps Guru using tfdevops
This post was written in collaboration with Kapil Thangavelu, CTO at Stacklet Amazon DevOps Guru is a machine learning (ML) powered service that helps developers and operators automatically detect anomalies and improve application availability. DevOps Guru utilizes machine learning models, informed by years of Amazon.com and AWS operational excellence to identify anomalous application behavior (e.g., increased […]