Qarik (an Egen company) is a Google Cloud partner, specializing in large-scale migrations and tech transformations, helping enterprises onboard to Google Cloud Platform (GCP). In this episode, Matt Maas, Lead Engineer at Qarik, highlights the company’s role in the cloud-native ecosystem, shares insights from KubeCon, and discusses the evolving importance of internal developer platforms (IDPs). Maas also discussed a case study focused on migrating from Amazon Web Services (AWS) to Google Kubernetes Engine (GKE).
Maas outlines Qarik’s focus on enabling clients to adopt GCP effectively, emphasizing their expertise in application refactoring and Kubernetes adoption. Speaking at KubeCon + CloudNativeCon North America, Maas notes the event’s significance for understanding emerging trends like AI and Kubernetes’ evolving role in solving future challenges. AI and IDPs were central themes, with Maas highlighting the industry’s move toward self-service tooling that improves developer experiences.
Maas explains that Qarik’s platform engineering approach is centered on understanding client needs to design tailored IDPs and shared insights on their generative AI (GenAI) accelerator programs. These pre-packaged solutions are designed to help organizations quickly integrate and scale AI initiatives.
Reflecting on KubeCon, Maas expresses the value he gained from learning from real-world Kubernetes use cases and networking with industry peers. Maas details a notable migration project where Qarik guided a large enterprise transitioning from AWS compute instances to GKE. This involved overcoming challenges in networking, data persistence, and deployment strategies while helping teams adapt to Kubernetes’ ephemeral nature.
Maas concludes by emphasizing the opportunities for professional development and the collaborative spirit fostered at KubeCon, which aligns with Qarik’s mission of driving client success in cloud environments.
Guest: Matt Maas (LinkedIn)
Company: Qarik Group
Show: Let’s Talk
This summary was written by Emily Nicholls.





