Security and identity services are another set of services from Google Cloud that are crucial to every customer. The most important ones are listed as follows:
- Access Transparency
- A service for customers to use to audit cloud provider access to resources
- Assured Workloads
- Allows customers to use Google Cloud in compliance with the requirements
- Binary Authorization
- A service for deploying trusted containers on GKE
- Chronicle
- Security insights from telemetry
- Cloud Asset Inventory
- An asset management service to view, monitor, and analyze Google Cloud resources
- Cloud Data Loss Prevention
- A service for classifying, inspecting, and redacting sensitive data
- Cloud Key Management
- A managed security keys offering
- Confidential Computing
- Fully encrypted VMs
- Firewalls
- Global firewall solutions for protecting cloud resources
- Cloud IAM
- A service for managing resources and access
- Secret Manager
- Securely stores API keys, passwords, or certificates
- Security Command Center
- A bird’s-eye view into the security of your Google Cloud services
- VPC Service Controls
- API-based security controls
- VM Manager
- Provides a OS patch management, OS configuration management, and OS inventory management service
Google Cloud offers a comprehensive set of services with a core focus on security based on many years of experience and its customers’ requirements.
We’ll finish detailing the core services by listing AI and ML services. This list includes the newly released Vertex AI platform, which combines many AI capabilities into one product:
- Vertex AI
- A managed platform for ML
- AutoML
- A custom low-code ML model training and development service
- Vision AI
- Pre-trained models for detecting emotion, text, and more from images
- Video AI
- Video analysis that recognizes objects, places, and actions in videos using ML
- Cloud Natural Language
- A service for extracting from, analysing, and classifying unstructured text
- Cloud Translation
- Detects and translates languages with dynamic translation
- Text-to-Speech
- Speech synthesis in 220+ voices and 40+ languages
- Speech-to-Text
- Speech recognition and transcription supporting 125 languages
- Dialogflow
- A platform for designing and integrating user interfaces into mobile applications, web applications, or bots
- AutoML Tables (beta)
- A service for building and deploying ML models using structured data
- Recommendations AI
- AI product-based recommendations for any customer interfaces
- AI Infrastructure
- A service to use to train deep learning and ML models
- Cloud Tensor Processing Units (TPUs)
- TPUs for ML applications
Google Cloud is well known for its advanced and best-on-the-market AI and ML products. Although Associate Cloud Engineer focuses more on computing, storage, networking, and security, it is still worth mentioning the best products on the market.