AWS DevOps Blog

Tag: Best practices

Improve the performance of Lambda applications with Amazon CodeGuru Profiler

Amazon CodeGuru Profiler recently began providing recommendations for applications written in Python. Additionally, the new automated onboarding process for Lambda functions makes it even easier to use CodeGuru Profiler with serverless applications built on Lambda. This post highlights these new features by explaining how to set up and utilize Codeguru Profiler on an AWS Lambda function written in Python.

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Deploying data lake ETL jobs using CDK Pipelines

Deploy data lake ETL jobs using CDK Pipelines

This post is co-written with Isaiah Grant, Cloud Consultant at 2nd Watch. Many organizations are building data lakes on AWS, which provides the most secure, scalable, comprehensive, and cost-effective portfolio of services. Like any application development project, a data lake must answer a fundamental question: “What is the DevOps strategy?” Defining a DevOps strategy for […]

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CDK Philosophy

Best practices for developing cloud applications with AWS CDK

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 CDK allows developers and administrators to define their cloud applications using a familiar programming language, such as TypeScript, Python, Java, or C#. Applications are organized […]

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Improving AWS Java applications with Amazon CodeGuru Reviewer

Amazon CodeGuru Reviewer is a machine learning (ML)-based AWS service for providing automated code reviews comments on your Java and Python applications. Powered by program analysis and ML, CodeGuru Reviewer detects hard-to-find bugs and inefficiencies in your code and leverages best practices learned from across millions of lines of open-source and Amazon code. You can […]

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architecture diagram

Scalable agile development practices based on AWS CodeCommit

Development teams use agile development processes based on Git services extensively. AWS provides AWS CodeCommit, a managed, Git protocol-based, secure, and highly available code service. The capabilities of CodeCommit combined with other developer tools, like AWS CodeBuild and AWS CodePipeline, make it easy to manage collaborative, scalable development process with fine-grained permissions and on-demand resources.

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Identifying and resolving security code vulnerabilities using Snyk in AWS CI/CD Pipeline

The majority of companies have embraced open-source software (OSS) at an accelerated rate even when building proprietary applications. Some of the obvious benefits for this shift include transparency, cost, flexibility, and a faster time to market. Snyk’s unique combination of developer-first tooling and best in class security depth enables businesses to easily build security into […]

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Transforming DevOps at Broadridge on AWS

with Tom Koukourdelis (Broadridge – Vice President, Head of Global Cloud Platform Development and Engineering), Sreedhar Reddy (Broadridge – Vice President, Enterprise Cloud Architecture) We have seen large enterprises in all industry segments meaningfully utilizing AWS to build new capabilities and deliver business value. While doing so, enterprises have to balance existing systems, processes, tools, […]

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Setting up a CI/CD pipeline by integrating Jenkins with AWS CodeBuild and AWS CodeDeploy

In this post, I explain how to use the Jenkins open-source automation server to deploy AWS CodeBuild artifacts with AWS CodeDeploy, creating a functioning CI/CD pipeline. When properly implemented, the CI/CD pipeline is triggered by code changes pushed to your GitHub repo, automatically fed into CodeBuild, then the output is deployed on CodeDeploy. Solution overview […]

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New – How to better monitor your custom application metrics using Amazon CloudWatch Agent

This blog was contributed by Zhou Fang, Sr. Software Development Engineer for Amazon CloudWatch and Helen Lin, Sr. Product Manager for Amazon CloudWatch Amazon CloudWatch collects monitoring and operational data from both your AWS resources and on-premises servers, providing you with a unified view of your infrastructure and application health.

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