Engineering

From Spring Boot Microservices to Lambda functions – a journey

You may be one of many organisations (or an engineer in one) that operates Java microservices in the cloud with a desire to move towards a serverless architecture, but are unable to justify the steep migration path (e.g. decomposing your services into functions, rewriting in a more suitable language etc.) from those microservices to the likes of AWS Lambda. But fear not! Because with the help of spring-cloud-function you can repurpose your existing microservices into serverless functions in a gradual and controlled manner, with minimal effort or interruption of service. In this article I’ll explain how you can achieve this...

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My expedition from AWS to GCP (with Terraform)

Follow along with my GitHub repo for this blog: https://github.com/foyst/gcp-terraform-quickstart/ TL;DR – Here’s the headline differences that might be useful for those adopting GCP from an AWS background: Difference #1 In AWS, projects or systems are separated using AWS Accounts, where as GCP has the built-in concept of “Projects”. Difference #2 – The GCP Console is always at global level – no need to switch between regions. Difference #3 – auto_create_subnetworks = false, otherwise you have a subnet created for every availability zone by default. Difference #4 – You have to enable services before you can use them. Difference #5...

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Performance Tuning Next.js

TL;DR: Next.js 9.3 introduces getStaticPaths, which allows you to generate a data-driven list of pages to render at build time, potentially allowing you to bypass server-side rendering for some use cases. You can now also use the fallback property to dynamically build pages on request, and serve the generated html instead. On a recent project we built a website for a client using a combination of Next.js and Contentful headless CMS. The goal of the website was to offer a responsive experience across all devices whilst keeping load times to a minimum and supporting SEO. I rather like Next.js –...

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