This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Ultimately, we decided to go with AWS.
Before AWS, engineering teams had to scale their own infrastructure. Before Kubernetes, DevOps teams were confined to assembling their own container orchestration and management solutions. Multi-tenant and secure, Frontegg supports multiple frameworks including React, Angular, Vue.js, Node.js, Django, Flask and ASP.NET.
Going the Amazon Web Services (AWS) route? Your SaaS tech stack should ideally be powered by Python, React, and AWS programming combo. Your container orchestration platform should have Amazon Elastic Container Service (ECS) if you are a startup or have a medium sized operation. PostgreSQL is also a decent option.
Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization. Containers and Kubernetes: Containers have transformed application deployment and management, enabling lightweight and portable software packaging.
The company’s sole analyst at that time used AWS Athena to query them from the S3 bucket, created additional materialized views to combine and aggregate them, and visualized them into dashboards with Superset using its AWS Athena connector. We used our daily AWS RDS snapshots and loaded them daily to Snowflake tables.
We organize all of the trending information in your field so you don't have to. Join 80,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content