Introduction As in traditional IT infrastructures, firms in regulated industries such as banks or energy providers have strict security requirements to comply with when using public cloud providers as well. However, cloud adoption is often driven by application development teams that are striving for increased speed and agility to launch new features in their application, but don’t care too much about those regulatory requirements. That makes it particularly important for IT governance functions to have effective tools to evaluate compliance with the aforementioned standards and gather evidence that can be provided to their internal or external auditors.
Articles in the category "AWS"
DynamoDB supports complex data types like lists. In this post we take a look at different ways to interact with lists. We will use Python to write code that may be used in a data access layer to manipulate items with list attributes.
CDK GO is in preview, here are the pros and cons and a first VPC example TL;DR The GO module system is IMHO neater than node.JS or Python. But you have to get used to the strongly typed language GO.
CDK Lambda Deployment takes about a minute - how about sub second Function Code Deployment? Creation of Lambda infrastructure with the CDK is really powerful. Updating the Function code is really slow. Here is a fix for that to get to a sub-second Lambda function deployment time.
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.
Data modelling in NoSQL databases is different from what we’re used to in the relational world. In this article we’ll talk about the process of data modelling in DynamoDB, single-table design and how to build a basic data access layer using python. We’ll explore these concepts by building a product catalog for a simple webshop that supports different query patterns and basic inventory management.
In this post I’ll introduce DynamoDB, a very powerful fully managed NoSQL wide-column data store in AWS. We will talk about data structures, the APIs to read and write data, indexes, as well as performance and cost considerations. In the end you will gain a solid understanding of the basics, which will serve as a starting point for further research.
Many Lambda functions are written in Python and use the AWS SDK boto3. Initializing your first boto3 client or resource can take a long time after a Lambda cold start. In this article we explore how much exactly and why it’s up to 10x faster on Lambdas with more memory.