Axel Barbier

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.

Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company
#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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Q&A: Applying GitOps principles without Kubernetes
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