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AWS Bites

AWS Bites
AWS Bites
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  • 149. Headless CMS on AWS
    We dive deep into Strapi, an open-source headless CMS that's changing how we approach content management and CRUD applications. In this episode, we explore how Strapi separates content from presentation, allowing marketing teams to manage content independently while developers maintain full control over the frontend experience. We discuss the powerful features that caught our attention, including the visual content type builder, dynamic zones, components, and the innovative blocks editor that stores content as JSON rather than HTML. We also cover practical aspects like local development workflows, data synchronization between environments, and deployment strategies on AWS. While we highlight some rough edges around documentation and minor bugs, we share our overall positive experience and provide insights into when Strapi might be the right choice for your next project.In this episode, we mentioned the following resources:Strapi CMS: https://strapi.io/Strapi on GitHub: https://github.com/strapi/strapiStrapi Docs: https://docs.strapi.io/Strapi S3 Provider: https://www.npmjs.com/package/@strapi/provider-upload-aws-s3Strapi installation and pre-requisites: https://docs.strapi.io/cms/installation/cliThe React Block Content renderer: https://github.com/strapi/blocks-react-rendererContentful: https://www.contentful.com/Storyblok: https://www.storyblok.com/Sanity: https://www.sanity.io/HyGraph: https://hygraph.com/Byline CMS: https://bylinecms.app/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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  • 148. Lambda and Java with Mark Sailes
    What if “Java is too old for serverless” is the myth holding your team back in 2025?We put it to the test with Mark Sailes (ex-AWS, Java-on-Lambda expert). In this AWS Bites episode we get specific: when Java is the right call for Lambda and when it isn’t, how to hit real latency targets, and the exact levers that matter in production—SnapStart, provisioned concurrency, smart JVM/GC settings, and whether GraalVM is worth it. We compare vanilla Java, Micronaut, Quarkus, and Spring Boot for startup and memory, share realistic p95/p99 expectations, and outline fast feedback loops with Testcontainers and LocalStack.If Java on Lambda sounds risky, this might change your mind. Stick around for Mark’s tuning checklist and our verdict on when to bet on Java vs pick another runtime.Big shoutout to fourTheorem for powering yet another episode of AWS Bites. At fourTheorem, we believe the cloud 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, or trying to keep cloud spend under control 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!In this episode, we mentioned the following resources:Mark Sailes's website and books: https://www.sailes.co.uk/booksMark's YouTube channel: https://youtube.com/@javainthecloudRunning Java effectively on serverless (ServerlessLand): https://serverlessland.com/content/service/lambda/guides/effectively-running-java-on-serverless/1-introductionLambda execution visualizer: https://lambda-sim.sailes.co.uk/Lambda SnapStart for Java simulator: https://www.sailes.co.uk/learn/lambda-snapstartPenna logging library for Java: https://github.com/hkupty/pennaTestcontainers for Java: https://java.testcontainers.org/Localstack: https://docs.localstack.cloud/aws/Micronaut: https://micronaut.io/Quarkus: https://quarkus.io/GraalVM: https://www.graalvm.org/AWS response to the Log4j issue: https://aws.amazon.com/security/security-bulletins/AWS-2021-005/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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  • 147. Spec coding with Kiro
    What if AWS built an IDE to rival your favorite editor? Turns out they did!In this episode of AWS Bites, we dive into Kiro, an AI centric fork of VS Code that tries to turn an empty repo and a loose idea into working software. Kiro imports your VS Code world, then guides you through requirements, design, and a clear task plan before an agent gets to work. We share what clicked, what tripped us up, and how Kiro’s spec driven approach compares to Cursor or Claude Code. We also cover status, limits, pricing, and what this could become if AWS leans in with deep cloud integration. Stick around for our take on whether you should switch or wait.Big shoutout to fourTheorem for powering yet another episode of AWS Bites. At fourTheorem, we believe the cloud 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, or trying to keep cloud spend under control 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!In this episode, we mentioned the following resources: Kiro website: https://kiro.dev/ Kiro docs on Agent Hooks: https://kiro.dev/docs/hooks/ Kiro docs on Steering: https://kiro.dev/docs/steering/ Kiro pricing plans blog: https://kiro.dev/blog/pricing-plans-are-live/ Cargo Lambda: https://www.cargo-lambda.info/ Episode 64: how do you write Lambda functions in Rust?: https://awsbites.com/64-how-do-you-write-lambda-functions-in-rust/ Kiro GitHub issue: https://github.com/kirodotdev/Kiro/issues/2004 Amazon Q developer CLI: https://github.com/aws/amazon-q-developer-cli 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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  • 146. The AWS Product Lifecycle page
    What if AWS had its own version of Killed by Google? Well… turns out it kind of does.In this episode of AWS Bites, we explore the AWS Product Lifecycle page, the official place where AWS quietly lists products and services that are being deprecated, shut down, or closed to new customers. If you rely on AWS in production, this is a page you’ll want to bookmark.We walk through what’s on the list today, from Amazon Pinpoint to IoT Analytics and beyond, and we even throw in some predictions of what might be next to hit the chopping block. App Runner vs Beanstalk? API Gateway REST vs HTTP? Let the speculation begin!Big shoutout to fourTheorem for powering yet another episode of AWS Bites. At fourTheorem, we believe the cloud 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, or trying to keep cloud spend under control 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!In this episode, we mentioned the following resources:AWS Product Lifecycle Page: ⁠⁠https://aws.amazon.com/products/lifecycle/⁠⁠AWS Blog – Introducing the AWS Product Lifecycle Page: ⁠⁠https://aws.amazon.com/blogs/aws/introducing-the-aws-product-lifecycle-page-and-aws-service-availability-updates/⁠⁠AWS Bites Episode 98 – Amazon Pinpoint Quota Changes: ⁠⁠https://awsbites.com/98⁠⁠AWS Bites Episode 74 – API Gateway REST vs HTTP: ⁠⁠https://awsbites.com/74⁠⁠AWS Bites Episode 76 – AWS Copilot: ⁠⁠https://awsbites.com/76⁠⁠AWS Bites Episode 143 – Is App Runner Better than Fargate?: ⁠⁠https://awsbites.com/143⁠⁠API Gateway Routing Rules: ⁠⁠https://aws.amazon.com/blogs/compute/dynamically-routing-requests-with-amazon-api-gateway-routing-rules/⁠⁠Alexa+ and the future of generative AI at Amazon: ⁠⁠https://www.aboutamazon.com/news/devices/new-alexa-generative-artificial-intelligence⁠⁠Do 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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  • 145. We Tried Amazon DSQL So You Don’t Have To (But You Might Want To)
    Amazon Aurora DSQL promises to bring a truly serverless experience to SQL databases. But does it actually deliver? In this episode of AWS Bites, we put Aurora DSQL to the test. We explore what makes it exciting, how it compares to traditional Aurora Serverless, and where it falls short. You’ll hear what changed since our last Aurora deep dive, and why DSQL might be the PostgreSQL-compatible serverless database you’ve been waiting for.Big shoutout to fourTheorem for powering yet another episode of AWS Bites. At fourTheorem, we believe the cloud 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, or trying to keep cloud spend under control 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!In this episode, we mentioned the following resources:AWS Blog – Amazon Aurora DSQL is Now Generally Available: ⁠https://aws.amazon.com/blogs/aws/amazon-aurora-dsql-is-now-generally-available/⁠AWS Blog – Introducing Amazon Aurora DSQL: ⁠https://aws.amazon.com/blogs/database/introducing-amazon-aurora-dsql/⁠Aurora DSQL Deep Dive by Amazon: ⁠https://www.youtube.com/watch?v=GCdAngjKZY4⁠DSQL Example Application by fourTheorem: ⁠https://github.com/fourTheorem/dsql-example/⁠PlanetScale Docs – Why Does PlanetScale Not Recommend Constraints: ⁠https://planetscale.com/docs/vitess/operating-without-foreign-key-constraints#why-does-planetscale-not-recommend-constraints-⁠Marc Bowes – How to Spend a Dollar with DSQL: ⁠https://marc-bowes.com/dsql-how-to-spend-a-dollar.html⁠Alessandro Volpicella – Amazon DSQL Pricing Guide: ⁠https://awsfundamentals.com/blog/amazon-dsql-pricing-guide⁠BinaryHeap Blog – First Look at DSQL (The Naughty List): ⁠https://binaryheap.com/first-look-dsql/⁠AWS Bites – Aurora Deep Dive (Episode 122): ⁠https://awsbites.com/122⁠Do 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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AWS Bites is the 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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