By analysing both the software development and deployment lifecycle, along with performance and resource utilisation, this paper explores microservices and two alternative types of serverless functions to build
go kubernetes streaming microservices kafka cpp seastar storage-engine containers realtime stream-processing event-driven redpanda Updated Jun 7, 2025 C++ hackmdio / codimd Star 9.7k Code Issues Pull requests CodiMD - Realtime collaborative markdown notes on all platforms. markdown notes realti...
In contrast, Multi-Camera Tracking, as part of Metropolis microservices, must consider and optimize for all these factors in addition to accuracy for real-time, scalable, multi-camera tracking to be deployed in production use cases. One-click microservices ...
which focuses on machine learning workloads, our adaptive batching algorithm adjusts batch sizes and processing intervals based on real-time system metrics (CPU and memory usage), catering to the unique demands of event-driven microservices.
example of a downstream action is sending the customer an SMS message about a product offer, which could be sent immediately after the event, if desired by the bank. This implementation gave the marketing team the ability to decide when to contact the customer. The SMS messaging option ...
Table of Contents Why Microservices? How Small Is “Micro”? Why RPC and Protocol Buffers? Example Implementation Production-Ready Python Microservices Python Microservice Monitoring With Interceptors Best Practices AsyncIO and gRPC Conclusion Mark as Completed Share ...
Keycloak has a well-documented administrative API which you can use, for example, to manage users from microservices Our Keycloak implementation works like this: we’ve built a Keycloak’s Docker image, which runs on Kubernetes. Keycloak’s public API is visible to “the world” (i.e., all...
For example, if the main application is built in a stable, well-supported framework, the application’s fundamental features might benefit, while the ability to rapidly develop new features and experiences might suffer. What is microservices architecture? Microservices architecture describes a model of...
The DeepStream SDK for real-time, video analytic application with TensorRT for deep learning inference.DeploymentIn this post, you take the trained ONNX model from part 1 and deploy it on an edge device. We explain how to deploy on a Jetson AGX Xavier device using the DeepStream SDK, but ...
This Guidance shows how to assess ad opportunities at scale using real-time bidding (RTB) technology and NoSQL database tables. With a microservices approach, this offering enables rapid scalability, implements robust security mechanisms to protect data, and uses a deployment pipeline that ...