On the heels of the recent announcement of our consulting offer for multi-AZ block storage for EKS, it is worth discussing some of the base technologies. Let’s look into the idea and how it works under the hood.
DynamoDB streams help you respond to changes in your tables, which is commonly used to create aggregations or trigger other workflows once data is updated. Getting a near-real-time view into these Streams can also be helpful during developing or debugging a Serverless application in AWS. Today, I will share a Python script that I built to hook into DynamoDB streams. Before we begin, I suggest you read my blog post that contains a deep dive into DynamoDB streams and how they’re implemented because we’ll be using these concepts today.
Recently, I spent a lot of time using the exciting new member of the FSx family. One detail made working with it a bit unpleasant, though - the lack of log files. This post details how to create a custom integration into CloudWatch Logs and make ONTAP audit logs visible.
During one of our recent AWS Security Reviews, I ran across an interesting technique that attackers can use to create a backdoor in AWS accounts. It works by using three S3 IAM actions, CloudFormation, and an administrator who is not careful enough. This vector is not new but still scary - and today, I will show you how to check your account for this risk and any previous compromises.
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.
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.
DynamoDB allows us to store complex data structures and deeply nested objects, but this complexity isn’t free. In this post we take a look at how different Lambda configurations impact the read times from boto3. We examine how different resource configurations can improve the read time of the same item by more than a factor of 12.
In this blog post I explain to you how to handle a particular class of errors with cross stack dependencies in the CLoud Development Kit.
