AWS Architecture Blog

Let’s Architect! DevOps Best Practices on AWS

DevOps has revolutionized software development and operations by fostering collaboration, automation, and continuous improvement. By bringing together development and operations teams, organizations can accelerate software delivery, enhance reliability, and achieve faster time-to-market.

In this blog post, we will explore the best practices and architectural considerations for implementing DevOps with Amazon Web Services (AWS), enabling you to build efficient and scalable systems that align with DevOps principles. The Let’s Architect! team wants to share useful resources that help you to optimize your software development and operations.

DevOps revolution

Distributed systems are adopted from enterprises more frequently now. When an organization wants to leverage distributed systems’ characteristics, it requires a mindset and approach shift, akin to a new model for software development lifecycle.

In this re:Invent 2021 video, Emily Freeman, now Head of Community Engagement at AWS, shares with us the insights gained in the trenches when adapting a new software development lifecycle that will help your organization thrive using distributed systems.

Take me to this re:Invent 2021 video!

Operationalizing the DevOps revolution

Operationalizing the DevOps revolution

My CI/CD pipeline is my release captain

Designing effective DevOps workflows is necessary for achieving seamless collaboration between development and operations teams. The Amazon Builders’ Library offers a wealth of guidance on designing DevOps workflows that promote efficiency, scalability, and reliability. From continuous integration and deployment strategies to configuration management and observability, this resource covers various aspects of DevOps workflow design. By following the best practices outlined in the Builders’ Library, you can create robust and scalable DevOps workflows that facilitate rapid software delivery and smooth operations.

Take me to this resource!

A pipeline coordinates multiple inflight releases and promotes them through three stages

A pipeline coordinates multiple inflight releases and promotes them through three stages

Using Cloud Fitness Functions to Drive Evolutionary Architecture

Cloud fitness functions provide a powerful mechanism for driving evolutionary architecture within your DevOps practices. By defining and measuring architectural fitness goals, you can continuously improve and evolve your systems over time.

This AWS Architecture Blog post delves into how AWS services, like AWS Lambda, AWS Step Functions, and Amazon CloudWatch can be leveraged to implement cloud fitness functions effectively. By integrating these services into your DevOps workflows, you can establish an architecture that evolves in alignment with changing business needs: improving system resilience, scalability, and maintainability.

Take me to this AWS Architecture Blog post!

Fitness functions provide feedback to engineers via metrics

Fitness functions provide feedback to engineers via metrics

Multi-Region Terraform Deployments with AWS CodePipeline using Terraform Built CI/CD

Achieving consistent deployments across multiple regions is a common challenge. This AWS DevOps Blog post demonstrates how to use Terraform, AWS CodePipeline, and infrastructure-as-code principles to automate Multi-Region deployments effectively. By adopting this approach, you can demonstrate the consistent infrastructure and application deployments, improving the scalability, reliability, and availability of your DevOps practices.

The post also provides practical examples and step-by-step instructions for implementing Multi-Region deployments with Terraform and AWS services, enabling you to leverage the power of infrastructure-as-code to streamline DevOps workflows.

Take me to this AWS DevOps Blog post!

Multi-Region AWS deployment with IaC and CI/CD pipelines

Multi-Region AWS deployment with IaC and CI/CD pipelines

See you next time!

Thanks for joining our discussion on DevOps best practices! Next time we’ll talk about how to create resilient workloads on AWS.

To find all the blogs from this series, check out the Let’s Architect! list of content on the AWS Architecture Blog. See you soon!

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Luca Mezzalira

Luca Mezzalira

Luca is Principal Solutions Architect based in London. He has authored several books and is an international speaker. He lent his expertise predominantly in the solution architecture field. Luca has gained accolades for revolutionizing the scalability of front-end architectures with micro-frontends, from increasing the efficiency of workflows, to delivering quality in products.

Federica Ciuffo

Federica Ciuffo

Federica is a Solutions Architect at Amazon Web Services. She is specialized in container services and is passionate about building infrastructure with code. Outside of the office, she enjoys reading, drawing, and spending time with her friends, preferably in restaurants trying out new dishes from different cuisines.

Laura Hyatt

Laura Hyatt

Laura Hyatt is a Solutions Architect for AWS Public Sector and helps Education customers in the UK. Laura helps customers not only architect and develop scalable solutions but also think big on innovative solutions facing the education sector at present. Laura's specialty is IoT, and she is also the Alexa SME for Education across EMEA.

Vittorio Denti

Vittorio Denti

Vittorio Denti is a Machine Learning Engineer at Amazon based in London. After completing his M.Sc. in Computer Science and Engineering at Politecnico di Milano (Milan) and the KTH Royal Institute of Technology (Stockholm), he joined AWS. Vittorio has a background in distributed systems and machine learning. He's especially passionate about software engineering and the latest innovations in machine learning science.

Zamira Jaupaj

Zamira Jaupaj

Zamira is an Enterprise Solutions Architect based in the Netherlands. She is highly passionate IT professional with over 10 years of multi-national experience in designing and implementing critical and complex solutions with containers, serverless, and data analytics for small and enterprise companies.