In this post we will simulate a scenario where a team would like to have access to create secrets under a team path name like /security-team/prod/* and /security-team/dev/* and allow all the users from that team to be
AWS
A collection of 45 posts
Investigating High Request Latencies on Amazon DynamoDB
While testing DynamoDB for a specific use case I picked up at times where a GetItem will incur about 150ms in RequestLatency on the Max Statistic. This made me want to understand the behavior that I'm observing. I will go
Improving Performance from your Lambda Function from the use of Global Variables
When using Lambda and DynamoDB, you can use global variables to gain performance when your data from DynamoDB does not get updated that often, and you would like to use caching to prevent a API call to DynamoDB everytime your
Using IAM Authentication with Amazon Elasticsearch Service
Today I will demonstrate how to allow access to Amazons Elasticsearch Service using IAM Authenticationi using AWS Signature Version4. Elasticsearch Service Authentication Support: When it comes to security, Amazons Elasticsearch Service supports three types of access policies: Resource Based Identity
Tutorial on DynamoDB using Bash and the AWS CLI Tools to Interact with a Music Dataset
In this tutorial we will be using Amazons DynamoDB (DynamoDB Local) to host a sample dataset consisting of music data that I retrieved from the iTunes API, which we will be using the aws cli tools to interact with the
Using AWS SSM Parameter Store to Retrieve Secrets Encrypted by KMS using Python
Today we will use Amazon Web Services SSM Service to store secrets in their Parameter Store which we will encyrpt using KMS. Then we will read the data from SSM and decrypt using our KMS key. We will then end
Expanding the Size of your EBS Volume on AWS EC2 for Linux
Resizing your EBS Volume on the fly, that is attached to your EC2 Linux instance, on Amazon Web Services. We want to resize our EBS Volume from 100GB to 1000GB and at the moment my EBS Volume is 100GB, as
Using AWS SSM Parameter Store to Retrieve Secrets Encrypted by KMS using Python
AWS Systems Manager Parameter Store provides secure storage for configuration data management and secrets management, which allows you to store sensitive iformation like passwords that you can encrypt with your KMS key. Today we will use Amazon Web Services SSM
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