Google Cloud Platform (GCP) offers a variety of managed services that help simplify and streamline the management of your cloud infrastructure and applications. These managed services handle many operational tasks, allowing you to focus more on building and scaling your applications. Here are some of the GCP managed services:

1. Google Kubernetes Engine (GKE): GKE is a fully managed Kubernetes service that automates the deployment, scaling, and management of containerized applications. It provides a reliable and scalable platform for running container workloads.

2. App Engine: App Engine is a Platform as a Service (PaaS) that allows you to deploy and manage applications without worrying about infrastructure management. Google handles the underlying infrastructure, including server provisioning, scaling, and load balancing.

3. Cloud Functions: Cloud Functions is a serverless compute service that lets you run event-driven code in response to various cloud events. You write code that executes in response to triggers without managing servers.

4. Cloud Run: Cloud Run is a managed compute platform that lets you run containerized applications in a fully managed environment. It automatically scales your containers based on incoming traffic.

5. Cloud SQL: Cloud SQL is a managed relational database service that supports MySQL, PostgreSQL, and SQL Server. Google manages database maintenance tasks like patching, backups, and scaling.

6. Cloud Spanner: Cloud Spanner is a globally distributed, horizontally scalable database service that combines the benefits of relational databases with the scalability of NoSQL databases. It’s fully managed by Google.

7. Cloud Bigtable: Cloud Bigtable is a NoSQL database service designed for large analytical and operational workloads. It provides high throughput and low-latency access to data and is fully managed.

8. Cloud Pub/Sub: Cloud Pub/Sub is a messaging service that allows you to build event-driven systems. It’s fully managed and supports real-time data streaming.

9. Cloud Dataprep: Cloud Dataprep is a fully managed data preparation service that helps you clean, transform, and visualize your data for analysis.

10. Cloud Dataflow: Cloud Dataflow is a fully managed stream and batch data processing service. It allows you to build data pipelines for ETL (Extract, Transform, Load) and analytics.

11. AI Platform: AI Platform is a managed service for building, training, and deploying machine learning models. It simplifies the process of developing AI and ML applications.