Articles in the category "AWS"

Detect the crack in the window (or the lambda library) before it breaks: As we have seen during the last month, also well known libraries like log4j can have previously unknown vulnerabilities. Therefore scanning your Lambda application before deploying is not enough! What happens if a new cybersecurity vulnerability occurs while your functions are running? Solution: Amazon Inspector. Only problem: it`s not available for Lambda yet. Fortunately, you can deploy Lambda with container images and Inspector will continuously scan these images for you. Want to know how set up Lambda & Inspector and see how evil Node vulnerabilities are detected? Read on!

In this post I’m going to explore how the new event filters in AWS Lambda can be used to implement the data model for a video streaming website in DynamoDB. I’ll explain why this feature makes your code simpler and allows you to save money in the process.

Over many years, we have now read warnings about the exhaustion of available IPv4 addresses. So far, there still seem to be ways and ideas on how to extend their lifetime (by approaching large organizations, using NAT, re-dedication of 240.0.0.0/4, and so on). Switching over to the much-dreaded IPv6 sounds easy, but even minor things can still cause problems. So what is the current state of AWS with this topic? And how did the landscape change during re:Invent 2021?

This post explains how you can ingest data from a MQTT broker such as VerneMQ into your data lake via IoT Core and Kinesis Data Firehose. We’ll set up a data processing pipeline from start to finish in Terraform.

Comparing the development methodology of a monolithic program to a Serverless IAC application you will see that the power of DevOps lies in automating everything. I will show you a working example of a serverless CI pipeline with automated unit, integration and end2end test and test reports in CodeBuild. The full source is written GO, with references to Node.JS and python for the test parts.

AWS launched re:Post as a successor to the AWS forums and it looks suspiciously similar to stackoverflow. In this post I take a first look at the platform and try to find out if it’s good enough to drive traffic away from stackoverflow.

Logfile analytics with Spark is tricky. One of the common problems are multi-line logs. In this post I explain to you how you can use PySpark to get your multi-line logs into a structured data frame.