AWS DevOps & Developer Productivity Blog
Category: Learning Levels
Tighten your package security with CodeArtifact Package Origin Control toolkit
Introduction AWS CodeArtifact is a fully managed artifact repository service that makes it easy for organizations to securely store and share software packages used for application development. On Jul14 2022 we introduced a new feature called Package Origin Controls which allows customers to protect themselves against “dependency substitution“ or “dependency confusion” attacks. This class of […]
Jenkins high availability and disaster recovery on AWS
We often hear from customers about their challenges architecting Jenkins for scale and high availability (HA). Jenkins was originally built as a continuous integration (CI) system to test software before it was committed to a repository. Since its beginning, Jenkins has grown out of necessity versus grand master plan. Developers who extended Jenkins favored speed […]
Multi-Region Terraform Deployments with AWS CodePipeline using Terraform Built CI/CD
As of February 2022, the AWS Cloud spans 84 Availability Zones within 26 geographic Regions, with announced plans for more Availability Zones and Regions. Customers can leverage this global infrastructure to expand their presence to their primary target of users, satisfying data residency requirements, and implementing disaster recovery strategy to make sure of business continuity. […]
Build Health Aware CI/CD Pipelines
Everything fails all the time — Werner Vogels, AWS CTO At the moment of imminent failure, you want to avoid an unlucky deployment. I’ll start here with a short story that demonstrates the purpose of this post. The DevOps team has just started a database upgrade with a planned outage of 30 minutes. The team […]
Automating detection of security vulnerabilities and bugs in CI/CD pipelines using Amazon CodeGuru Reviewer CLI
Watts S. Humphrey, the father of Software Quality, had famously quipped, “Every business is a software business”. Software is indeed integral to any industry. The engineers who create software are also responsible for making sure that the underlying code adheres to industry and organizational standards, are performant, and are absolved of any security vulnerabilities that […]
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 […]
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, […]
A new Spark plugin for CPU and memory profiling
Introduction Have you ever wondered if there are low-hanging optimization opportunities to improve the performance of a Spark app? Profiling can help you gain visibility regarding the runtime characteristics of the Spark app to identify its bottlenecks and inefficiencies. We’re excited to announce the release of a new Spark plugin that enables profiling for JVM […]
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 […]