A hyperscaler is a company that provides cloud services on a massive scale — offering IT infrastructure such as computing power, storage, and networking that is flexible, highly available, and globally scalable. Common examples of hyperscalers include:
Microsoft Azure
Google Cloud Platform (GCP)
Alibaba Cloud
IBM Cloud (on a somewhat smaller scale)
Massive scalability
They can scale their services virtually without limits, depending on the customer's needs.
Global infrastructure
Their data centers are distributed worldwide, enabling high availability, low latency, and redundancy.
Automation & standardization
Many operations are automated (e.g., provisioning, monitoring, billing), making services more efficient and cost-effective.
Self-service & pay-as-you-go
Customers usually access services via web portals or APIs and pay only for what they actually use.
Innovation platform
Hyperscalers offer not only infrastructure (IaaS), but also platform services (PaaS), as well as tools for AI, big data, or IoT.
Hosting websites or web applications
Data storage (e.g., backups, archives)
Big data analytics
Machine learning / AI
Streaming services
Corporate IT infrastructure
gRPC is an open-source Remote Procedure Call (RPC) framework developed by Google. It's designed to facilitate communication between different applications and services in distributed systems. Here are some key features and concepts of gRPC:
Protocol Buffers (Protobuf): gRPC uses Protocol Buffers, also known as Protobuf, as a standardized and efficient data serialization format. This allows for easy definition of service interfaces and message structures.
HTTP/2: gRPC is built on top of HTTP/2 as the transport protocol, leading to efficient bidirectional communication between client and server. This enables data streaming and parallel processing of multiple requests and responses.
Interface Definition Language (IDL): With gRPC, you can define service interfaces using a dedicated IDL written in Protobuf files. These interface descriptions make it clear how method calls and message structures should be defined.
Multi-language support: gRPC provides support for various programming languages, including C++, Java, Python, Go, and more, allowing developers to use gRPC in different environments.
Bidirectional streaming: gRPC allows both the client and server to send and receive data in real-time, making it useful for applications requiring continuous data exchange, such as chat applications or real-time notifications.
Authentication and security: gRPC offers built-in support for authentication and security. You can use SSL/TLS for encryption and integrate authentication mechanisms like OAuth2.
Code generation: gRPC automatically generates client and server code from the Protobuf files, simplifying development work.
gRPC is commonly used in microservices architectures, IoT applications, and other distributed systems. It provides an efficient and cross-platform way to connect services and exchange data."