Category: Back-End

MongoDB Queues – Why and How We Use Them at FloQast

Platform teams vary from company to company. At FloQast, the Platform team's mission is to enable product teams to deliver...

An AWS Step Function Use Case: Serverless ETL

With batching and looping techniques, FloQast used AWS Step Functions as a serverless ETL tool while respecting its limits on...

Postman: Developing and Testing APIs Without a Client

This article will walk through example HTTP requests in a back-end development environment using some useful Postman features. Postman is...

Grafana Dashboards + AWS CloudWatch Metrics

In this article, my goal is to guide you through the creation of a simple Grafana graph using AWS CloudWatch...

AWS X-Ray with Lambda: Distributed Tracing for the Win

AWS X-Ray with Lambda is the easiest way to get started with tracing a simple function or distributed services. Why?...

MongoDB Query Performance: Understanding the Query Planner & Advanced Index Types

There are stages to every engineer’s relationship with a database. They might go like this: shock: “what is this new...

Using AWS X-Ray to Trace and Understand Your Application

As FloQast has focused on microservices and decoupling our services infrastructure, we have faced a number of challenges, including the...

MongoDB Performance Fundamentals: Indexing & Indexes

MongoDB is one of the most significant technologies we've embraced at FloQast. We feel it’s one of our core competencies,...