Hot Topics in Cloud Computing Part 1
Cloud computing continues to evolve in the year 2020 with an even bigger market demanding. It changed the way of developing and deploying software. The public cloud providers will continue to offer the larger...
Category: AWS Case Studies
Case studies on AWS services
Streaming Platforms: Apache Kafka vs. AWS Kinesis
Apache Kafka and AWS Kinesis are two real-time data streaming platforms. Both have excellent features to support the needs of businesses concerning real-time streams of data collection and analytics. But how do you choose...
AWS Elastic Beanstalk or AWS Elastic Container Service for Kubernetes (AWS EKS)
We previously compared two PaaS Solutions: AWS Elastic Beanstalk and Red Hat Openshift. AWS Elastic Beanstalk is likely a good choice for newly started applications and systems already using AWS. In addition, AWS Beanstalk...
When Should Use Amazon DynamoDB Accelerator (AWS DAX)?
The main purpose of Amazon DynamoDB Accelerator (AWS DAX) is in-memory cache. DAX manages cache invalidation, data population, or cluster management. So it can deliver up to a 10x performance improvement – from milliseconds to...
Streaming Data from Kinesis Firehose to Redshift
In this article, we will simulate the devices temperature sensor data sending to Amazon Kinesis Firehose delivery stream that publishes data to Amazon Redshift. After the data stored in Redshift, you can do data visualization...
Web Application with Aurora Serverless Cluster
Aurora Serverless is different from the serverless web application that was done in our hands-on DynamoDB. Aurora is a fully managed Relational Database Service developed and offered by Amazon, similar to other DB engines. In...
PaaS Solutions: AWS Elastic Beanstalk vs. Red Hat OpenShift
Two Platform-as-a-Service (PaaS) solutions will be compared: AWS Elastic Beanstalk and Red Hat OpenShift. The original comparison list made also has Heroku and Google App Engine. But due to Heroku’s and GAE’s limitations and...
AWS Relational Database Solution: Hands-on with AWS RDS
I’m so happy to announce that my new course Hands-on with AWS RDS is published! The course Hands-on with AWS RDS is designed for anybody who wants to learn AWS Relational Database Solution RDS. There are many fun hands-on projects in...
Why Use AWS Redshift Spectrum with Data Lake
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. AWS uses S3 to store data in any format, securely, and at a...
Data Storage for Big Data: Aurora, Redshift or Hadoop?
I mentioned in my post “Which is Right Hadoop Solution for You?” that if your Big Data is below 1.6PB, you may want to take a look at the Redshift data warehouse option. When we...
