AWS Compute Blog

Tag: AWS Lambda

Applying the Twelve-Factor App Methodology to Serverless Applications

The Twelve-Factor App methodology is twelve best practices for building modern, cloud-native applications. With guidance on things like configuration, deployment, runtime, and multiple service communication, the Twelve-Factor model prescribes best practices that apply to a diverse number of use cases, from web applications and APIs to data processing applications. Although serverless computing and AWS Lambda […]

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Sharing Secrets with AWS Lambda Using AWS Systems Manager Parameter Store

This post courtesy of Roberto Iturralde, Sr. Application Developer- AWS Professional Services Application architects are faced with key decisions throughout the process of designing and implementing their systems. One decision common to nearly all solutions is how to manage the storage and access rights of application configuration. Shared configuration should be stored centrally and securely with […]

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Invoking AWS Lambda from Amazon MQ

This post courtesy of Josh Kahn, AWS Solutions Architect Message brokers can be used to solve a number of needs in enterprise architectures, including managing workload queues and broadcasting messages to a number of subscribers. Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate […]

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CodeStar Go application

Announcing Go Support for AWS Lambda

This post courtesy of Paul Maddox, Specialist Solutions Architect (Developer Technologies). Today, we’re excited to announce Go as a supported language for AWS Lambda. As someone who’s done their fair share of Go development (recent projects include AWS SAM Local and GoFormation), this is a release I’ve been looking forward to for a while. I’m […]

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Serverless @ re:Invent 2017

At re:Invent 2014, we announced AWS Lambda, what is now the center of the serverless platform at AWS, and helped ignite the trend of companies building serverless applications. This year, at re:Invent 2017, the topic of serverless was everywhere. We were incredibly excited to see the energy from everyone attending 7 workshops, 15 chalk talks, 20 […]

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Managing AWS Lambda Function Concurrency

One of the key benefits of serverless applications is the ease in which they can scale to meet traffic demands or requests, with little to no need for capacity planning. In AWS Lambda, which is the core of the serverless platform at AWS, the unit of scale is a concurrent execution. This refers to the […]

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Implementing Dynamic ETL Pipelines Using AWS Step Functions

This post contributed by: Wangechi Dole, AWS Solutions Architect Milan Krasnansky, ING, Digital Solutions Developer, SGK Rian Mookencherry, Director – Product Innovation, SGK Data processing and transformation is a common use case you see in our customer case studies and success stories. Often, customers deal with complex data from a variety of sources that needs […]

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Implementing Canary Deployments of AWS Lambda Functions with Alias Traffic Shifting

This post courtesy of Ryan Green, Software Development Engineer, AWS Serverless The concepts of blue/green and canary deployments have been around for a while now and have been well-established as best-practices for reducing the risk of software deployments. In a traditional, horizontally scaled application, copies of the application code are deployed to multiple nodes (instances, […]

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Serverless Automated Cost Controls, Part1

This post courtesy of Shankar Ramachandran, Pubali Sen, and George Mao In line with AWS’s continual efforts to reduce costs for customers, this series focuses on how customers can build serverless automated cost controls. This post provides an architecture blueprint and a sample implementation to prevent budget overruns. This solution uses the following AWS products: […]

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Resume AWS Step Functions from Any State

Yash Pant, Solutions Architect, AWS Aaron Friedman, Partner Solutions Architect, AWS When we discuss how to build applications with customers, we often align to the Well Architected Framework pillars of security, reliability, performance efficiency, cost optimization, and operational excellence. Designing for failure is an essential component to developing well architected applications that are resilient to […]

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