Sebastian Hesse

SAM was the popular way to build serverless applications on AWS before the CDK took off.

If you set log retention on a Lambda function in the AWS CDK, you have probably run into this warning during synth or deploy: [WARNING] aws-cdk-lib.aws_lambda.FunctionOptions#logRetention is deprecated.

In part one we covered how AWS gave AI agents hands and memory: Lambda MicroVMs and Durable Functions for stateful, long-running compute, and S3 Vectors, Annotations, and managed Knowledge Bases for retrieval.

Classic serverless rested on three assumptions: your code is stateless, short-lived, and trusted.

Container image Lambda functions are great when your dependencies don't fit a zip package, or when you already build container images for the rest of your stack.

Let's play a game.

Amazon OpenSearch Serverless is a great managed search service - no cluster to provision, automatic scaling, and pay-per-use pricing.

Have you ever needed to build a Rust or Go Lambda function directly inside your CDK stack?

Have you ever hit CloudFormation's 500-resource limit while trying to properly monitor your Lambda functions?

LLMs and AI agents are increasingly browsing the web to gather information, answer questions, and complete tasks.

Managing multiple AWS accounts is common in organizations following best practices.

If you've exported items from a DynamoDB table into a CSV file and now want to import them back, you'll quickly realize that AWS doesn't offer a direct CSV import feature for DynamoDB.

CDK constructs are a great way to combine best practices and simplify your infrastructure code.

I often notice people wondering if and how it's possible to run Spring Boot on AWS Lambda Functions.

Serverless sending and receiving e-mails using AWS is not fun in my opinion.

Have you ever tried to publish a CDK construct that was using a Lambda function, for example to create a custom resource or provide a REST API endpoint?

In the past years, technology made huge progress and automating your processes is more important than ever.

Running cloud services on your local machine is often a problem because there is no local version available.

After working for more than three years with AWS Lambda and other serverless services, I've came across various best practices to improve your way of going serverless.

From monoliths to microservices and containers to serverless functions: the software engineering world is changing fast.

Last week I have attended JavaLand 2019 which was a great experience for me.

In every serverless application, there are usually two main reasons to cache data: a) to improve performance and b) to reduce costs.

Do you recognize this view when looking into your CloudWatch log groups?

On the 7th of September, I gave a talk at Atlas Camp 2018 in Barcelona.

A CloudFormation stack evolves over time and usually costs increase as well.

Recently, a question on stackoverflow.com popped up which asked for different environments with AWS CloudFormation.

If you use AWS for your private website, tools or just for testing new things, you will get to the point where you're not sure how much money your resources cost you.

AWS Lambda is actually made to be used by implementing small functions which can be started quickly.

Recently, I came across a limit which I haven't known before: CloudFormation just allows a maximum size of 51,200 bytes per template.

Today I want to show you three starter projects for AWS Lambda using CloudFormation and SAM - Serverless Application Model.

This year I've started working with Amazon Web Services (AWS) and most notably AWS Lambda.

A few years ago, Amazon Web Services (AWS) launched it's new service AWS Lambda.

As mentioned in the last post to JMapViewer, I want to show you how to start the Dijkstra shortest path algorithm using JMapViewer.

Recently I was facing a difficult situation: me and my team we're working on a feature (using Feature Branch Model) and I wanted to rebase my code to the changes on another branch.

This summer I've discoverd the website IndieHackers.com which interviews "hackers" who've started their own businesses (or side-projects) and earn money from it.

Recently I had to work with OSM data at University and we had to provide the data by visualising them with JMapViewer.

Recently I was building a private hobby project where I wanted to use Heroku to deploy some Microservices and get some experience with it.

JIRA is a great issue tracking software by Atlassian and it offers many features to keep your bugs and tasks organised.

Some time ago I had to test a web app where a popup was triggered if the user hovers over a specific link.

Since I'm working with Atlassian Confluence addons, I always have the problem that I need to start a local Confluence standalone instance in a specific version.

The last weeks my website was not available due to some problems with my Apache server.

AngularJS provides several ways to use URL parameters in order to serve different views to a user or hand over information by using the URL.

With this blog post I want to provide an example webapp using Spring and AngularJS since both are very popular technologies.

In the last days I experimented with a small chrome extension and I ran into trouble to manipulate a website which was currently active in the browser.

Yesterday I wanted to add Spring to my Pandoc project and I had a lot of trouble with it.

Today I want to write about my first steps with JavaFX and try to go through my first application step by step.