Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

In the world of microservices, networking and Observabilty is always a challenge, often there are different methodologies used. A service mesh is something that standardizes this. Istio service mesh is a mature framework that runs in K8s and provides a standard interface for this In this session we will do a istio 101 and go over how a service mesh helps with microservices and hybrid architectures.

As organizations scale, data systems often don’t scale perfectly along with them. Data silos, data quality, and tedious technical maintenance - these are just some of the obstacles that enterprise data teams grapple with. In this webinar, Cade Winter, Director of Solutions Engineering at Hevo Data explores the advantages that a cloud-based SaaS approach can provide for large datasets, and how exactly you can implement one to handle your enterprise ELT effectively.