Azure Container Instances VS Apache Kafka

Azure Container Instances Reviews

Apache Kafka Reviews

Azure Container Instances mentions (6)

• Similar to AWS Fargate provider?

  Https://azure.microsoft.com/en-us/products/container-instances and as /u/re-thc posted, GKE Autopilot can be that for Google Cloud. Source: about 1 year ago

• Deploy Application on Azure App Services

  Containerize and deploy the application using one of the container delivery services on Azure like App Services, Container Instances, or Kubernetes Services. - Source: dev.to / over 1 year ago

• Run Apache APISIX on Microsoft Azure Container Instance

  Apache APISIX is an open-source Microservice API gateway and platform designed for managing microservices requests of high availability, fault tolerance, and distributed system. You can install Apache APISIX by the different methods (Docker, Helm, or RPM) and run it in the various public cloud providers because of its cloud-native behavior. In this post, you will learn how easily run Apache APISIX API Gateway in... - Source: dev.to / almost 2 years ago

• Calling an API thousands of times in a serverless fashion?

  Yeah datafactory isn’t appropriate for this task. There are custom df tasks you can script up in c# but doesn’t help you here. You have a couple of options but I would suggest azure container instances given your constraints. If you want to orchestrate it using the rest call option in df and long polling then status is the best but you can use logic app as well. ACI is serverless in the sense you maintain no... Source: about 2 years ago

• How to run long-running Docker Task - Non-web app

  Azure Container Instances may be your best fit: https://azure.microsoft.com/en-us/services/container-instances/. Source: over 2 years ago

Apache Kafka mentions (120)

• 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 / about 1 month 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 / 2 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 / 2 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  *Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago

• How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide

  RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago