It becomes difficult to manage the lifecycle of secrets such as creation, storage, rotation, and revocation.You may need to manage hundreds of secrets.Now, imagine splitting your application into multiple services, each with its own external dependencies, such as databases, third-party APIs, etc., resulting in an even more complicated architecture.Ī setup with multiple services and environments such as the one described above in Kubernetes comes with a number of challenges, including: It gets a little harder to manage and synchronize all these secrets when you start supporting multiple environments like development, test, and production. We have a microservice (or a monolith, if you will) that connects to a database using a secret, a username, and a password in this case. Secrets management is about securely managing the creation, storage, rotation, and revocation of digital credentials while eliminating or at least minimizing human involvement and reducing potential sources of error. They can be in the form of passwords, encryption keys, tokens, and so on. Secrets are digital credentials used to manage access permissions at both the human-to-application and application-to-application levels. In this article we’ll take a detailed look at one of these tools, External Secrets Operator. Once the amount of secret information we need to manage increases, we may need additional tools to simplify and better manage the process. However, Kubernetes doesn’t yet have the capabilities to manage the lifecycle of secrets, so sometimes we need external systems to manage this sensitive information. Kubernetes secrets is a mechanism that allows sensitive information to be stored in a central repository called etcd, which is a more secure way to store information than in the pod definition or in a container image itself.
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