Congratulations! You made it to the end of the course, and hopefully have the knowledge and confidence to begin developing and deploying your own code on Anthos now. This course only scratches the surface of the full capabilities of Anthos, but should provide some insight for developers into how easily we can build and deploy microservices on modern cloud-based infrastructure all from directly within our IDE. With Anthos, we can see the Kubernetes ecosystem is beginning to reach maturity, allowing developers to work with containerized microservices easily, without requiring a deep understanding of everything going on under the hood to make it work.

If you plan to dive into Anthos development right away, I encourage you to spend some time exploring the Policy Controller template library and the Istio samples in the course resources to help you build more robust configuration files to use with Anthos Config Management and Anthos Service Mesh in your future projects. You may also want to further explore some of the other features Anthos has to offer that we didn't explore in depth in this course, like Migrate for Anthos or Anthos on Bare Metal.

Even if you won't be working with Anthos immediately after this course, the same CI/CD pipeline we built using Google Cloud Build in Visual Studio Code in the last lecture group can be used to deploy applications to other GCP resources. You can use Cloud Run or Google Kubernetes Engine directly on GCP without Anthos using nearly identical deployment processes, or use a very similar process to deploy to Google Cloud Functions or to a Google Compute Engine virtual machine instance instead.

If you work with another IDE or a different programming language, you should be able to easily replicate this same setup in your preferred environment as well. Thanks for sticking with me through this course, I hope you now have a better understanding of Anthos, and have the ability to build your own CI/CD pipeline on Google Cloud Platform. Don't forget to disable Anthos and delete your sample project once you're done experimenting, so you don't incur any unnecessary costs on your GCP account.

Please consider taking a few minutes to rate your experience with this course, and submit any questions or feedback you might have. Thanks again, and I hope to see you next time as we continue our learning journey on Cloud Academy.