Apache Flink Reviews

KubeMQ Reviews

Apache Flink mentions (45)

• Gravitino - the unified metadata lake

  In the meantime, other query engine support is on the roadmap, including Apache Spark, Apache Flink, and others. - Source: dev.to / about 2 months ago

• Towards Sub-100ms Latency Stream Processing with an S3-Based Architecture

  Many stream processing systems today still rely on local disks and RocksDB to manage state. This model has been around for a while and works fine in simple, single-tenant setups. Apache Flink, for example, uses RocksDB as its default state backend - state is kept on local disks, and periodic checkpoints are written to external storage for recovery. - Source: dev.to / 3 months ago

• Introducing RisingWave's Hosted Iceberg Catalog-No External Setup Needed

  Because the hosted catalog is a standard JDBC catalog, tools like Spark, Trino, and Flink can still access your tables. For example:. - Source: dev.to / 3 months ago

• When plans change at 500 feet: Complex event processing of ADS-B aviation data with Apache Flink

  I wrote a python based aircraft monitor which polls the adsb.fi feed for aircraft transponder messages, and publishes each location update as a new event into an Apache Kafka topic. I used Apache Flink — and more specially Flink SQL, to transform and analyse my flight data. The TL;DR summary is I can write SQL for my real-time data processing queries — and get the scalability, fault tolerance, and low latency... - Source: dev.to / 4 months ago

• What is Apache Flink? Exploring Its Open Source Business Model, Funding, and Community

  Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 5 months ago

KubeMQ mentions (4)

• Simplifying Multi-LLM Integration with KubeMQ: The Path to Scalable AI Solutions

  In this blog post, we'll look at just how to do this. We’ll provide code examples to guide you through setting up a router that interfaces with both OpenAI and Anthropic's Claude using KubeMQ as our example. - Source: dev.to / 7 months ago

• Enhancing GenAI Applications With KubeMQ: Efficiently Scaling Retrieval-Augmented Generation (RAG)

  As the adoption of Generative AI (GenAI) surges across industries, organizations are increasingly leveraging Retrieval-Augmented Generation (RAG) techniques to bolster their AI models with real-time, context-rich data. Managing the complex flow of information in such applications poses significant challenges, particularly when dealing with continuously generated data at scale. KubeMQ, a robust message broker,... - Source: dev.to / 10 months ago

• Mastering Multi-Cloud and Edge Data Synchronization: A Retail Use Case with KubeMQ’s Java SDK

  In this post, we’ll explore how the open-source KubeMQ’s Java SDK provides an ideal solution for these challenges. We’ll focus on a real-life use case involving a global retail chain that uses KubeMQ to manage inventory data across its multi-cloud and edge infrastructure. Through this example, we’ll demonstrate how the solution enables enterprises to achieve reliable, high-performance data synchronization,... - Source: dev.to / about 1 year ago

• Message broker for simple strings, sockets

  KubeMQ can be a good choice because it supports both Queue and Stream patterns, which are simple to use and deploy in microservices. Source: over 2 years ago