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Managing Confluent Cloud infrastructure efficiently poses challenges due to the complexities involved in deploying and maintaining various components like environments, clusters, topics, and authorizations. Without proper tooling and practices, teams struggle with manual configuration errors, lack of consistency, and potential security risks. The Confluent Terraform.

There are several ways to handle load spikes on a service. However, these methods are not cost-effective: you either pay for resources you don't use, or you risk not having enough resources to handle the load. Fortunately, there is a third way: horizontal autoscaling. Horizontal autoscaling is the process of dynamically adjusting the number of instances of a service based on the current load. This way, you only pay for the resources you use, and you can handle load spikes without any manual intervention.

Explore best practices and essential tools for visibility with Kubernetes infrastructure and traffic to optimize your system's performance and security.

Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.

Outsourced engineering teams are gaining in popularity and many investors have started to treat them as a requirement.