We, as tecRacer, thrive on our individual and unique employees. In our new series “Insider Stories” Nadim will tell you how he found his way to the company as well as how he experiences working for tecRacer.
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.
I was helping a customer with a Amplify App. This later turned into a meetup, where we are building a photo sorting application using AWS Amplify for the backend and Quasar for the frontend. This is the second article in a series that lets you follow along with the development process in your own time.
I was helping a customer with a Amplify App. This later turned into a meetup, where we are building a photo sorting application using AWS Amplify for the backend and Quasar for the frontend. This is the first article in a series that lets you follow along with the development process in your own time.
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.
Amazon CloudWatch is a managed service for storing, visualizing and analyzing logs and metrics data of applications and AWS infrastructure. The service is simple to configure and use and is priced based on usage. Thus, adoption is generally both easy and cheap compared to other tools such as Splunk, ElasticSearch, Datadog, and all the others out there. Upon heavy usage, it can become quite expensive though. This post summarizes some common cost drivers in CloudWatch and proposes strategies to identify these and reduce their costs.
