With no access to critical DB metrics, a fintech team faced serious transaction latency. Ardan Labs embedded engineers directly into their team—cutting insert delays by 90% and leaving behind scalable systems and sustainable performance practices.

To meet strict compliance demands while scaling fast, a growing AI startup brought in Ardan Labs engineers to co-build secure, cloud- and airgap-ready infrastructure—accelerating delivery without sacrificing ownership or momentum.

How Ardan Labs’ embedded engineers helped a telecom company build a high-throughput, cross-cloud data platform in Go and gRPC—integrating with teams, enabling full observability, and delivering production-ready systems across AWS, GCP, and on-prem Kubernetes.

Ardan Labs embedded engineers to lead a complex API integration for a fast-growing SaaS company—delivering the solution early without impacting the internal team. The work boosted user engagement and gave the client a scalable, maintainable integration.

Ardan Labs embedded engineers to build a real-time CRM sync platform—eliminating data silos, streamlining onboarding, and enabling the client to scale with confidence.

How Ardan Labs helped a telecom company integrate a Rust-based vector database with their .NET AI infrastructure—unlocking high-performance RAG without changing existing tools.

Integration tests give insights to the end-to-end operation of web services. In part 2 of this 2 part series over integration testing in Go we explore how to configure and manage external systems before and during testing as well as the actual act of writing integration tests.

Integration tests give insights to the end-to-end operation of web services. In part 1 of this 2 part series over integration testing in Go we explore how to run integration tests in restrictive environments, such as Jenkins.