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AWS Bites

AWS Bites
AWS Bites
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  • 143. Is App Runner better than Fargate?
    Picture this. You’ve got a web app built with Rust and Solid.js. It started life running on a dusty on-prem server, but now it's time to move it to the cloud. The clock is ticking. You could take the well-worn AWS path: set up a VPC, configure subnets, attach an ALB, define IAM roles, and deploy with Fargate. Or you could try something different. In this episode of AWS Bites, we share the real story of migrating a monolithic containerized app to AWS App Runner. It promises to take your code, build it, deploy it, and scale it with minimal effort. But does it really deliver? We compare App Runner with Fargate based on hands-on experience. You’ll learn where App Runner shines, where it gets in the way, and how we handled everything from custom domains to background job processing. You’ll also hear when we would still choose Fargate, and why. If you've ever hoped for a Heroku-like experience on AWS, or you want to simplify your container deployments without giving up too much control, this episode is for you.AWS Bites is brought to you in association with fourTheorem. At fourTheorem, we believe serverless should be simple, scalable, and cost-effective — and we help teams do just that. Whether you’re diving into containers, stepping into event-driven architecture, or scaling a global SaaS platform on AWS, our team has your back. Visit https://fourTheorem.com to see how we can help you build faster, better, and with more confidence using AWS cloud!🔖 Chapters:00:00 Introduction02:03 What is AWS App Runner?04:06 Our use case: migrating a Rust + Solid.js app06:10 App Runner vs Fargate: key differences08:51 Breaking down the App Runner pricing model13:47 Connecting App Runner to private VPC resources17:00 Understanding App Runner’s autoscaling options20:00 Security and secrets management in App Runner22:23 Handling background jobs in an always-on world25:31 Running database migrations with App Runner27:40 What we liked about App Runner31:43 What frustrated us about App Runner38:10 When to choose App Runner over Fargate40:56 Wrap-up and sponsor shout-outIn this episode, we mentioned the following resources:Last Week in AWS: The 17 Ways to Run Containers on AWS: https://www.lastweekinaws.com/blog/the-17-ways-to-run-containers-on-aws/GitHub Issue - App Runner scale to zero discussion: https://github.com/aws/apprunner-roadmap/issues/9Custom Domain with CloudFormation (Mark van Holsteijn, Xebia): https://xebia.com/blog/configure-custom-domain-for-aws-apprunner-service-using-cloudformation/AWS Docs - App Runner hosted zone IDs: https://docs.aws.amazon.com/general/latest/gr/apprunner.htmlDo you have any AWS questions you would like us to address?Leave a comment here or connect with us on X/Twitter, BlueSky or LinkedIn:- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/eoins⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠https://bsky.app/profile/eoin.sh⁠⁠⁠ | ⁠⁠⁠https://www.linkedin.com/in/eoins/⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/loige⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠https://bsky.app/profile/loige.co⁠⁠⁠ | ⁠⁠⁠https://www.linkedin.com/in/lucianomammino/
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  • 142. Escape from S3
    We discuss common use cases and challenges for copying data between S3 buckets and S3-compatible object storage services. We share our experience building an open source Node.js CLI tool called S3-Migrate to efficiently migrate data with separate source and destination credentials. We cover performance considerations like streaming, chunk sizes, concurrency and parallelism.AWS Bites is brought to you in association with fourTheorem. If you need a friendly partner to support you and work with you to de-risk any AWS migration or development project, check them out at ⁠⁠⁠fourtheorem.com⁠⁠⁠In this episode, we mentioned the following resources:s3-migrate CLI tool: https://github.com/lmammino/s3-migrateDigitalOcean Spaces Object Storage: https://docs.digitalocean.com/products/spaces/Cloudflare R2: https://www.cloudflare.com/en-gb/developer-platform/products/r2/Backblaze B2: https://www.backblaze.com/cloud-storageWasabi Cloud Storage: https://wasabi.com/Linode / Akamai Object Storage: https://www.linode.com/products/object-storage/MinIO (Self-hosted S3-compatible storage): https://min.io/Basecamp / Hey’s move away from S3: https://world.hey.com/dhh/it-s-five-grand-a-day-to-miss-our-s3-exit-b8293563AWS re:Post - How to move objects between S3 buckets: https://repost.aws/knowledge-center/move-objects-s3-bucketAWS Labs - Utility for S3 Migration: https://github.com/awslabs/utility-for-s3-migrations3s3mirror (Java-based tool): https://github.com/cobbzilla/s3s3mirrorrclone S3 Support: https://rclone.org/s3/knox-copy (Ruby-based, deprecated): https://github.com/goodeggs/knox-copyFlexify.io (paid cloud migration service): https://flexify.io/Do you have any AWS questions you would like us to address?Leave a comment here or connect with us on X/Twitter, BlueSky or LinkedIn:- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/eoins⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠https://bsky.app/profile/eoin.sh⁠⁠ | ⁠⁠https://www.linkedin.com/in/eoins/⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/loige⁠⁠⁠⁠⁠⁠ | ⁠⁠https://bsky.app/profile/loige.co⁠⁠ | ⁠⁠https://www.linkedin.com/in/lucianomammino/
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  • 141. Step Functions with JSONata and Variables
    In this episode, we provide an overview of AWS Step Functions and dive deep into the powerful new JSONata and variables features. We explain how JSONata allows complex JSON transformations without custom Lambda functions, enabling more serverless workflows. The variables feature also helps avoid the previous 256KB state size limit. We share examples from real projects showing how these features simplify workflows, reduce costs and enable new use cases.AWS Bites is brought to you in association with fourTheorem. If you need a friendly partner to support you and work with you to de-risk any AWS migration or development project, check them out at ⁠⁠fourtheorem.com⁠⁠In this episode, we mentioned the following resources:JSONata and variables official launch post: https://aws.amazon.com/blogs/compute/simplifying-developer-experience-with-variables-and-jsonata-in-aws-step-functions/JSONata exerciser: https://try.jsonata.org/Stedi JSONata playground: https://www.stedi.com/jsonata/playgroundEpisode 103: Building GenAI Features with Bedrock https://awsbites.com/103-building-genai-features-with-bedrock/Episode 63: How to automate transcripts with Amazon Transcribe and OpenAI Whisper https://awsbites.com/63-how-to-automate-transcripts-with-amazon-transcribe-and-openai-whisper/ Do you have any AWS questions you would like us to address?Leave a comment here or connect with us on X/Twitter, BlueSky or LinkedIn:- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/eoins⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠https://bsky.app/profile/eoin.sh⁠ | ⁠https://www.linkedin.com/in/eoins/⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/loige⁠⁠⁠⁠⁠ | ⁠https://bsky.app/profile/loige.co⁠ | ⁠https://www.linkedin.com/in/lucianomammino/
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  • 140. DuckDB Meets AWS: A Match Made in Cloud
    In this episode, we explore DuckDB, an open-source analytical database known for its speed and simplicity. Discover how DuckDB stands out in various applications and compare it to other tools like SQLite, Athena, Pandas, and Polars. We also demonstrate integrating DuckDB with AWS Lambda and Step Functions for serverless analytics.AWS Bites is brought to you by fourTheorem. If you are looking for a partner to architect, develop and modernise on AWS, give fourTheorem a call. Check out ⁠fourtheorem.com⁠In this episode, we mentioned the following resources: Our `duck-query-lambda`, A Lambda runtime for DuckDB queries: https://github.com/fourTheorem/duck-query-lambda DuckDB's official website: https://duckdb.org/ LibSQL: https://github.com/tursodatabase/libsql Do you have any AWS questions you would like us to address?Leave a comment here or connect with us on X/Twitter, BlueSky or LinkedIn:- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/eoins⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | https://bsky.app/profile/eoin.sh | https://www.linkedin.com/in/eoins/- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/loige⁠⁠⁠⁠ | https://bsky.app/profile/loige.co | https://www.linkedin.com/in/lucianomammino/
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  • 139. Building Great APIs with Powertools
    In this episode, we discuss using AWS Lambda Powertools for Python to build serverless REST APIs with AWS Lambda. We cover the benefits of using Powertools for routing, validation, OpenAPI support, and more. Powertools provides an excellent framework for building APIs while maintaining Lambda best practices.In this episode, we mentioned the following resources: AWS Bites 41. How can Middy make writing Lambda functions easier? - ⁠https://awsbites.com/41-how-can-middy-make-writing-lambda-functions-easier⁠ AWS Bites 120. Lambda Best Practices - ⁠https://awsbites.com/120-lambda-best-practices/⁠ REST API - Powertools for AWS Lambda (Python) - ⁠https://docs.powertools.aws.dev/lambda/python/latest/core/event_handler/api_gateway/⁠ Hono - ⁠https://hono.dev/⁠ Fastify - ⁠https://fastify.dev/⁠ Axum - ⁠https://github.com/tokio-rs/axum⁠ FastAPI - ⁠https://fastapi.tiangolo.com/⁠Do you have any AWS questions you would like us to address?Leave a comment here or connect with us on BlueSky or LinkedIn: https://bsky.app/profile/eoin.sh | https://www.linkedin.com/in/eoins/ https://bsky.app/profile/loige.co | https://www.linkedin.com/in/lucianomammino/
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About AWS Bites

AWS Bites is the weekly show where we answer questions about AWS! This show is brought to you be Eoin Shanaghy and Luciano Mammino, certified AWS experts.
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