GraphQL is a query language for your API. It is also a specification which determines the validity schema on the server. It is strongly typed, the schema defines the GraphQL API’s type system. It defines the possible objects that a client can access. A client can find information about the schema via introspection.

In this blog post we are looking into schema evolution with Confluent Schema Registry. Kakfa doesn’t do any data verification it just accepts bytes as input without even loading into memory. The consumers might break if the producers send wrong data, for example by renaming a field. The Schema Registry takes the responsibility to validate the data. It is a separate component to which both the consumers and producers talk to. It supports Apache Avro as the data format.

Start Kafka

In this post we are looking into Apache Kafka.

Let’s say you have an object in a Google Cloud Storage bucket which is set to be private. You want to share it with people who have no Google Cloud account, for example, subscribed visitors to your website. This can be a video course that only paying users can access, or an E-book that requires subscription.

In this blog post we look into Cloud Build service from Google, which is great and cheaper CI/CD tool compared to the more known Travis CI, circleci or CodeShip cloud services. It has a simple build configuration (cloudbuild.yaml) with many open-source build steps. It comes with 120 free build-minutes per day and up to 10 concurrent builds included.

Jib is my preferred tool when it comes to dockerizing Spring Boot applications. Jib is pure Java which can create a docker image without Dockerfile and without a running Docker daemon by automatically uploading the image to a remote Docker Registry. It can also create a Docker image using a local Docker daemon.