Apache Kafka Reviews

Google Cloud Endpoints Reviews

Apache Kafka mentions (121)

• Best Practices for Building Microservices with NestJS

  Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 1 day ago

• Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack

  In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 3 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago

• How to Use Reductstore as a Data Sink for Kafka

  Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 4 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  *Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 4 months ago

Google Cloud Endpoints mentions (4)

• Serverless Security Best Practices

  Moreover, integrating rate limiting can thwart DDoS attacks, and schema validation can prevent malformed requests, ensuring only legitimate and well-formed traffic reaches your serverless functions. Tools like Amazon API Gateway, Azure API Management, and Google Cloud Endpoints offer these capabilities, allowing you to set up custom authorization workflows and request validation rules that align with your security... - Source: dev.to / about 2 months ago

• API Gateway VS API Endpoints VS Apigee

  AFAIK, API Gateway is just managed Cloud Endpoints, which are just ESPv2 containers. Cloud Endpoints are still a thing but I would agree that they are a bit dead, as they don't support OpenAPI v3, which was released in 2016. See this support ticket from 2018: https://issuetracker.google.com/issues/78271318?pli=1. Source: almost 2 years ago

• What is Google Cloud Endpoints? How does it compare to just hosting a backend?

  For reference: https://cloud.google.com/endpoints. Source: about 3 years ago

• How to provide access to my Cloud Run service to myself.

  Use Cloud Endpoints in front of your service, which gives more options for authentication, including JWT. Here's an intro (the English is poor, but advice is sound.). Source: about 3 years ago