Mock sample for your project: Cloud Memorystore for Memcached API
Integrate with "Cloud Memorystore for Memcached API" from googleapis.com in no time with Mockoon's ready to use mock sample
Cloud Memorystore for Memcached API
Version: v1beta2
Start working with "Cloud Memorystore for Memcached API" right away by using this ready-to-use mock sample. API mocking can greatly speed up your application development by removing all the tedious tasks or issues: API key provisioning, account creation, unplanned downtime, etc.
It also helps reduce your dependency on third-party APIs and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
Description
Google Cloud Memorystore for Memcached API is used for creating and managing Memcached instances in GCP.
Other APIs by googleapis.com
Google Chat API
Enables apps to fetch information and perform actions in Google Chat. Authentication is a prerequisite for using the Google Chat REST API.
Recommendations AI (Beta)
Note that we now highly recommend new customers to use Retail API, which incorporates the GA version of the Recommendations AI funtionalities. To enable Retail API, please visit https://console.cloud.google.com/apis/library/retail.googleapis.com. The Recommendations AI service enables customers to build end-to-end personalized recommendation systems without requiring a high level of expertise in machine learning, recommendation system, or Google Cloud.
My Business Notifications API
The My Business Notification Settings API enables managing notification settings for business accounts.
Cloud Natural Language API
Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations, to developers.
Cloud Composer API
Manages Apache Airflow environments on Google Cloud Platform.
Cloud Storage for Firebase API
The Cloud Storage for Firebase API enables programmatic management of Cloud Storage buckets for use in Firebase projects
Data pipelines API
Data Pipelines provides an interface for creating, updating, and managing recurring Data Analytics jobs.
Google Analytics Admin API
Google Search Console API
The Search Console API provides access to both Search Console data (verified users only) and to public information on an URL basis (anyone)
Cloud Dataproc API
Manages Hadoop-based clusters and jobs on Google Cloud Platform.
Other APIs in the same category
Cloud Data Loss Prevention (DLP) API
Provides methods for detection, risk analysis, and de-identification of privacy-sensitive fragments in text, images, and Google Cloud Platform storage repositories.
Google Analytics Admin API
Ad Exchange Buyer API
Accesses your bidding-account information, submits creatives for validation, finds available direct deals, and retrieves performance reports.
API Gateway API
Abusive Experience Report API
Views Abusive Experience Report data, and gets a list of sites that have a significant number of abusive experiences.
Firebase App Check API
Firebase App Check works alongside other Firebase services to help protect your backend resources from abuse, such as billing fraud or phishing.
IAM Service Account Credentials API
Creates short-lived credentials for impersonating IAM service accounts. To enable this API, you must enable the IAM API (iam.googleapis.com).
Cloud DNS API
Ad Exchange Buyer API II
Accesses the latest features for managing Authorized Buyers accounts, Real-Time Bidding configurations and auction metrics, and Marketplace programmatic deals.
Firebase Rules API
Creates and manages rules that determine when a Firebase Rules-enabled service should permit a request.
Recommendations AI (Beta)
Note that we now highly recommend new customers to use Retail API, which incorporates the GA version of the Recommendations AI funtionalities. To enable Retail API, please visit https://console.cloud.google.com/apis/library/retail.googleapis.com. The Recommendations AI service enables customers to build end-to-end personalized recommendation systems without requiring a high level of expertise in machine learning, recommendation system, or Google Cloud.