Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company
Hyper-growth led to 100+ AWS accounts and total API chaos. Their solution came from an unexpected place: data engineering.
#1about 3 minutes
The initial challenges of rapid company growth
Rapid company growth led to manual processes and a simple one-monolith-per-customer architecture on AWS.
#2about 2 minutes
How microservices created a fragmented customer experience
Adopting microservices during hyper-growth resulted in inconsistent authentication methods and a disjointed experience for customers.
#3about 3 minutes
Managing custom versions across many customer accounts
The need for custom software versions for different customers complicated the deployment of a unified API gateway and identity provider.
#4about 4 minutes
Using an ETL pipeline for configuration management
An ETL-inspired pipeline was created to extract API schemas, transform them into configurations, and load them for deployment.
#5about 2 minutes
Implementing the ETL process with Jenkins and S3
The implementation uses Jenkins to extract OpenAPI schemas, Amazon S3 for storage, and a Go-based tool for transforming them into deployable configurations.
#6about 3 minutes
Q&A on microservices, API docs, and IaC tooling
The speaker answers audience questions about the decision to use microservices, the API documentation workflow, and the company's IaC stack.
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