Microsoft SQL Server

Amazon S3 Postman Visual Studio Code Visual Studio Node.js AngularJS Microsoft SQL Server Plastic SCM .NET

We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.

We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.

Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache

Microsoft SQL Server Scala @Scalatra nginx Java @JavaFX Docker

MBARI collects video from the deep sea using a variety of underwater platforms including remotely operated vehicles (ROV), autonomous underwater vehicles (AUV), and fixed camera platforms. MBARI Media Management (M3) is a collection of services for managing many thousands of hours of digital video and video annotations for scientific research.

Managing script output and input, as well as data cleansing. Microsoft SQL Server

We've always counted on SQL Server as our database backend. It has served us well over the years. It isn't the cheapest part of our stack, but with the plethora of tools provided by 3rd parties, we have found an incredible and scalable method of keeping our data available and easy to maintain. Microsoft SQL Server