Google Cloud Platform

Compute

• App Engine – Platform as a Service to deploy applications developed with Java, PHP, Node.js, Python, C#, .Net, Ruby and Go programming languages.
• Compute Engine – Infrastructure as a Service to run Microsoft Windows and Linux virtual machines.
• Google Kubernetes Engine (GKE) or GKE on-prem offered as part of Anthos platform^[11][12] – Containers as a Service based on Kubernetes.
• Cloud Functions – Functions as a Service to run event-driven code written in Node.js, Java, Python, or Go.
• Cloud Run – Compute execution environment based on Knative.^[13] Offered as Cloud Run (fully managed)^[14] or as Cloud Run for Anthos.^[14] Currently supports GCP, AWS and VMware management.^[15]

Storage and databases

• Cloud Storage – Object storage with integrated edge caching to store unstructured data.
• Cloud SQL – Database as a Service based on MySQL, PostgreSQL and Microsoft SQL Server.
• Cloud Bigtable – Managed NoSQL database service.^[16]
• Cloud Spanner – Horizontally scalable, strongly consistent, relational database service.^[17]
• Cloud Datastore – NoSQL database for web and mobile applications.^[18]
• Persistent Disk – Block storage for Compute Engine virtual machines.^[19]
• Cloud Memorystore – Managed in-memory data store based on Redis and Memcached.^[20]
• Local SSD: High-performance, transient, local block storage.
• Filestore: High-performance file storage for Google Cloud users.^[21]
• AlloyDB: Fully managed PostgreSQL database service.^[22]

Networking

• VPC – Virtual Private Cloud for managing the software defined network of cloud resources.

• Cloud Load Balancing – Software-defined, managed service for load balancing the traffic.
• Cloud Armor – Web application firewall to protect workloads from DDoS attacks.
• Cloud CDN – Content Delivery Network based on Google's globally distributed edge points of presence.
• Cloud Interconnect – Service to connect a data center with Google Cloud Platform
• Cloud DNS – Managed, authoritative DNS hosting service running on the same infrastructure as Google.
• Network Service Tiers – Option to choose Premium vs Standard network tier for higher-performing network.

Big data

• BigQuery – Scalable, managed enterprise data warehouse for analytics.^[23]
• Cloud Dataflow – Managed service based on Apache Beam for stream and batch data processing.^[24]
• Cloud Data Fusion – A managed ETL service based on the Open Source Cask Data Application Platform.^[25]
• Dataproc – Big data platform for running Apache Hadoop and Apache Spark jobs.^[26]
• Cloud Composer – Managed workflow orchestration service built on Apache Airflow.^[27]
• Cloud Datalab – Tool for data exploration, analysis, visualization and machine learning. This is a fully managed Jupyter Notebook service.^[28]
• Cloud Dataprep – Data service based on Trifacta to visually explore, clean, and prepare data for analysis.^[29]
• Cloud Pub/Sub – Scalable event ingestion service based on message queues.^[30]
• Looker Studio – Business intelligence tool to visualize data through dashboards and reports.^[31]
• Looker – Business intelligence platform.^[32][33]

Cloud AI

• Cloud AutoML – Service to train and deploy custom machine learning models. As of September 2018, the service is in Beta.^[34]
• Cloud TPU – Accelerators used by Google to train machine learning models.^[35]
• Cloud Machine Learning Engine – Managed service for training and building machine learning models based on mainstream frameworks.^[36]
• Cloud Talent Solution (formerly Cloud Job Discovery) – Service based on Google's search and machine learning capabilities for the recruiting ecosystem.^[37]
• Dialogflow Enterprise – Development environment based on Google's machine learning for building conversational interfaces.^[38]
• Cloud Natural Language – Text analysis service based on Google Deep Learning models.^[39]
• Cloud Speech-to-Text – Speech to text conversion service based on machine learning.^[40]
• Cloud Text-to-Speech – Text to speech conversion service based on machine learning.^[41]
• Cloud Translation API – Service to dynamically translate between thousands of available language pairs.
• Cloud Vision API – Image analysis service based on machine learning.^[42]
• Cloud Video Intelligence – Video analysis service based on machine learning.^[43]

Management tools

• Operations suite (formerly Stackdriver ) – Monitoring, logging, tracing, and diagnostics for applications on Google Cloud Platform.^[44]
• Cloud Deployment Manager  - Tool to deploy Google Cloud Platform resources defined in templates created in YAML, Python or Jinja2.^[45]
• Cloud Console – Web interface to manage Google Cloud Platform resources.
• Cloud Shell – Browser-based shell command-line access to manage Google Cloud Platform resources.
• Cloud Console Mobile App – Android and iOS application to manage Google Cloud Platform resources.
• Cloud APIs – APIs to programmatically access Google Cloud Platform resources

Identity and security

• Cloud Identity – Single sign-on (SSO) service based on SAML 2.0 and OpenID.
• Cloud IAM – Identity & Access Management (IAM) service for defining policies based on role-based access control.
• Cloud Identity-Aware Proxy – Service to control access to cloud applications running on Google Cloud Platform without using a VPN.
• Cloud Data Loss Prevention API – Service to automatically discover, classify, and redact sensitive data.
• Security Key Enforcement – Two-step verification service based on a security key.
• Cloud Key Management Service – Cloud-hosted key management service integrated with IAM and audit logging.
• Cloud Resource Manager – Service to manage resources by project, folder, and organization based on the hierarchy.
• Cloud Security Command Center – Security and data risk platform for data and services running in Google Cloud Platform.
• Cloud Security Scanner – Automated vulnerability scanning service for applications deployed in App Engine.
• Access Transparency – Near real-time audit logs providing visibility to Google Cloud Platform administrators.
• VPC Service Controls – Service to manage security perimeters for sensitive data in Google Cloud Platform services.

Internet of things (IoT)

• Cloud IoT Core – Secure device connection and management service for Internet of Things.
• Edge TPU – Purpose-built ASIC designed to run inference at the edge. As of September 2018, this product is in private beta.
• Cloud IoT Edge – Brings AI to the edge computing layer.

API platform

• Maps Platform – APIs for maps, routes, and places based on Google Maps.
• Apigee API Platform – Lifecycle management platform to design, secure, deploy, monitor, and scale APIs.
• API Monetization – Tool for API providers to create revenue models, reports, payment gateways, and developer portal integrations.
• Developer Portal – Self-service platform for developers to publish and manage APIs.
• API Analytics – Service to analyze API-driven programs through monitoring, measuring, and managing APIs.
• Apigee Sense – Enables API security by identifying and alerting administrators to suspicious API behaviors.
• Cloud Endpoints – An NGINX-based proxy to deploy and manage APIs.
• Service Infrastructure – A set of foundational services for building Google Cloud products.