I heard really cool things about Amazon Athena. So I thought I’d give it a shot while enjoying a shot of delicious ☕ espresso.

In my previous segment, I shared some best practices on how to design effective REST APIs. A well-thought out design must also take into account the performance aspects of an API. Good design means little if the API does not perform as desired in response to increasing requests, and evolving…

The Move to the Cloud ☁️ As more organizations start their Public Cloud journey, chances are they will either be migrating existing APIs/applications to the cloud, and even building new ones. If you are looking into leveraging AWS, you want to make sure that you choose the right technical stack to build your APIs/applications. AWS is…

In the previous two segments, I shared some best practices on how to design and build performant REST APIs. An API that is well-designed and built for performance behaves and functions well in response to evolving customer and business requirements. …

Some background I love movies, and all things cinema-related 📽 🎞️ 🎬️🍿🎫. I truly think it is immensely cool how so much painstaking and beautiful work goes into making movies. Years and years of hard work, involving meticulous planning, growing expenses, constant deliberation and thinking. All of that hard work compressed into…

Background In my previous post, I shared some security best practices cloud engineers can adhere to when developing applications on AWS. The purpose of this post is to go into depth explaining the main AWS service behind all of those measures that makes security possible: Amazon Identity & Access Management (IAM). IAM at a High-Level …

Background Let’s just begin with acknowledging that API Versioning is tough business. Over the course of an API’s lifecycle, development teams can make all kinds of changes to it (enhancements, bug fixes, adding new capabilities, etc.). How would you determine whether a particular change will require a new API version? How…

Background In this blog post, I will walk us through on how to create an ETL job using the following AWS Cloud Services: Amazon S3 (for intermediary data storage) AWS Glue Studio (main engine of the ETL job) Amazon Athena (query tool) ETL stands for Extract, Transform, and Load. In almost…

Amazon S3 is a highly-utilized and well-known object storage service offered by Amazon Web Services (AWS). It is virtually used for everything, from storing data related to application logs, to gigabyte-sized media files. Manually Upload to S3? Nah, ain’t nobody got time for that… 👎 AWS makes it super easy to utilize S3. You can just create your bucket, and upload whatever…