Based on our record, Apache Kafka should be more popular than Dapr. It has been mentiond 120 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The following two examples are open-source projects maintained by Fermyon with contributions from companies like Microsoft and SUSE. The first is Spin, which allows us to use WebAssembly to create Serverless applications. The second, SpinKube, combines some of the topics I'm most excited about these days: WebAssembly and Kubernetes Operators :) The official website says, "By running applications in the Wasm... - Source: dev.to / 19 days ago
Speaking of this has anyone had much experience with Dapr (https://dapr.io/) before? I always thought this was a particularly interesting approach from Microsoft where they use this pattern to essentially take the complexity of micro services and instead try and keep it as simple as a normal .NET application but (and I think this is the clever part) in both a vendor and language neutral way. But all of a sudden it... - Source: Hacker News / 5 months ago
Azure Container Apps hosting of Azure Functions is a way to host Azure Functions directly in Container Apps - additionally to App Service with and without containers. This offering also adds some Container Apps built-in capabilities like the Dapr microservices framework which would allow for mixing microservices workloads on the same environment with Functions. - Source: dev.to / 7 months ago
Having containers is nice but everything (well ... Nearly everything 😉) gets better with Dapr as an outstanding tool for app development in the container-based area. Here we go what might be worth a look:. - Source: dev.to / 7 months ago
Anyone using or planing to use darp Distributed application platform runtime as a microservices platform? https://dapr.io/. Source: 8 months ago
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
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 / 3 months ago
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 / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
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
Akka - Build powerful reactive, concurrent, and distributed applications in Java and Scala
RabbitMQ - RabbitMQ is an open source message broker software.
Istio - Open platform to connect, manage, and secure microservices
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
AWS Lambda - Automatic, event-driven compute service
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.