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3 posts tagged with "microservices"

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GRPC in Python Example

· 7 min read
Serhii Hrekov
Serhii Hrekov
Senior Software Engineer & System Architect specializing in Python, Web Systems, Cloud Infrastructure & Automation

gRPC in Python: A Practical Example and When to Choose It​

gRPC (gRPC Remote Procedure Calls) is a modern, high-performance, open-source framework developed by Google that enables communication between services. It relies on Protocol Buffers (protobuf) for its Interface Definition Language (IDL) and uses HTTP/2 for transport.

It has become the standard choice for communication in microservices and polyglot (multi-language) environments where performance, efficiency, and strong typing are critical.

Linking Logs Across Python Microservices(Distributed Tracing)

· 7 min read
Serhii Hrekov
Serhii Hrekov
Senior Software Engineer & System Architect specializing in Python, Web Systems, Cloud Infrastructure & Automation

Distributed Tracing: Linking Logs Across Python Microservices​

In modern microservices architectures, a single user request might flow through an API Gateway, an authentication service, a business logic service, and several data services. While structured logging makes each service's log output clean, it doesn't automatically connect the dots.

Distributed Tracing is the operational practice of adding unique identifiers to every log and header related to a single request, allowing you to reconstruct the entire request path across all services.

Centralized Authorization on GCP: Casbin, Envoy, and API Gateway

· 8 min read
Serhii Hrekov
Serhii Hrekov
Senior Software Engineer & System Architect specializing in Python, Web Systems, Cloud Infrastructure & Automation

Centralized Authorization on GCP: Casbin, Envoy, and API Gateway​

Implementing authorization within a web application, especially in a microservices environment, can quickly lead to duplicated or inconsistent security logic. By leveraging the External Authorization Pattern using Envoy Proxy and Casbin, you can decouple security checks from your Flask application, making your architecture cleaner, more secure, and scalable.

This strategy is particularly effective on Google Cloud Platform (GCP) when using services like API Gateway or Cloud Endpoints as the entry point, and Firestore as the persistent policy backend.