There are several ways to perform espionage activities in the life of a serverless app, which all battle for your attention. Time for the advent of counterintelligence: We want answers! - And CDK/Source examples of how to use it! Here we go, Serverless spy vs spy in four chapters, each post published after you light the next candle.
Do you run the same CLI commands again and again while using VSCode? Even if you already put them into code, you find yourself typing things like rake build all the time? I just learned of VSCode’s integrated Task management the other day, and this knowledge could help you work more productively. So let’s dive deep…
As the new AWS region in Zurich has just been launched, I am wondering about the costs of AWS infrastructure in that region. So I decided to perform a small benchmark to get a better feeling about this.
Test-Kitchen is a tool to manage your test machine lifecycle, similar to HashiCorp Vagrant. While it has been developed with Chef in mind, it can be used with any development tool to test on new machines every time you change your code. As this tool continues to evolve and many examples are outdated, today I will give you some small snippets to reuse and get going quickly.
Every EC2 instance type has a limited number of ENIs and IP addresses that it can use. This can quickly cause EKS to not being able to schedule more pods on a node. Luckily, there is a simple solution for that.
There is no (milli)second chance for the first impression. Many websites today mess this up badly. When I need to wait 10 seconds for the content to load - I am out. What about you? I show you how to optimize the speed in four steps with S3, CloudFront and Amplify.
Transforming large amounts of data into formats that help solve business problems is what data engineers excel at. A combination of Serverless tools such as Athena, StepFunctions, Lambda, or Glue can get the job done in many projects. However, some customers prefer to rely on Open-Source projects and tools to access more talent in the job market and be less reliant on a single cloud provider. Today, we’ll share a story of a modernization project that we did for a customer in the online marketing industry.
I will show you how to implement pessimistic locking using Python with DynamoDB as our backend. Before we start, we’ll review the basics and discuss some of the design criteria we’re looking for. In an earlier post, I outlined to you how to implement optimistic locking using DynamoDB. There, I explained some of the reasons why locking is useful and which issues it can prevent. If you’re unfamiliar with the topic, I suggest you check that one out first.
