Authors: Xing Yang, Melissa Logan, Alvaro Hernandez, Sergey Pronin
To handle Day-2 operations for data workloads on Kubernetes, organizations rely heavily on operators, but they present a number of challenges – including lack of integration with existing tools; lack of interoperability with the rest of their stack; varying degrees of quality; and lack of standardization. And yet – a majority of people are using at least 20 operators according to the 2022 Data on Kubernetes Report. For those evaluating their options, the challenge is further complicated by choice; the number of operators continues to grow with Operator Hub currently listing 270+. Without operator standards, how can end users possibly evaluate each one to know whether it meets their needs? This panel unites the Data on Kubernetes Community Operator SIG and Kubernetes Storage SIG to discuss key features of Kubernetes database operators -- what works, what doesn’t, and where the industry is going. Panelists will also present a feature matrix to help end users compare a multitude of database operators.